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Risk factors for late-onset neonatal infection
1.1. Review question
What is the accuracy of clinical prediction models for late-onset neonatal infection and what is their effectiveness in guiding management in the baby?
1.1.1. Introduction
Neonatal infection is a significant cause of mortality and morbidity in newborn babies. It can lead to life-threatening sepsis, which accounts for 10% of all neonatal deaths. For the purpose of this guideline, late-onset neonatal infection is defined as infection which occurs between 72 hours of birth and 28 days of age (corrected for gestational age).
Predicting which babies are most at risk of late-onset neonatal infection is important to help determine who should receive antibiotic treatment. A culture taken from blood or cerebrospinal fluid which tests positive for the organisms associated with infection is the gold-standard for identifying which babies should receive treatment. However, waiting for the results of these tests may delay treatment. A tool which can predict which babies are most at risk of late-onset neonatal infection is therefore important to help identify those who will benefit from early treatment, whilst reducing the number of babies who receive unnecessary treatment. This will also reduce other associated risks such as antimicrobial resistance. The aim of this review is therefore to evaluate existing clinical prediction models for late-onset neonatal infection and determine their effectiveness in guiding management of the baby.
1.1.2. Summary of the protocol
The review was divided into 2 parts. Part A aimed to identify studies assessing the accuracy of clinical prediction models in identifying babies with late onset infection. Part B aimed to identify ‘test and treat’ randomised controlled trials that assessed the effectiveness of clinical prediction models in guiding management.
1.1.3. Methods and process
This evidence review was developed using the methods and process described in Developing NICE guidelines: the manual. Methods specific to this review question are described in the review protocol in Appendix A. For full details of the methods used see the methods document.
Declarations of interest were recorded according to NICE’s 2018 conflicts of interest policy.
Prospective and retrospective observational cohort or cross-sectional studies (part A) and test and treat randomised controlled trials (part B) were considered in addition to systematic reviews. The review protocol specified that, where possible, subgroup analyses would be conducted for gestational age of the baby (preterm vs term) and for babies who had been admitted to the hospital from home. However, this was not possible as most studies included both preterm and term babies, and the results were not separated by gestational age. Studies did not state the admission route of the babies. No studies matched the protocol for Part B of the review (RCTs for different risk predictor tools).
1.1.4. Prognostic evidence
1.1.4.1. Included studies
A joint search was carried out to identify studies specified for this evidence review, and a similar evidence review for studies assessing clinical prediction models for early-onset infection (for details, see evidence review D - risk factors for early onset). This returned a total of 1,252 results, of which 68 were identified as potential included studies. Full text articles were ordered and reviewed against the inclusion criteria, of which 8 met the inclusion criteria for the review. Three studies investigated the use of the RALIS model, 2 assessed the NOSEP model and 3 looked at other, unnamed, models which used a combination of demographic and clinical factors to predict whether a baby is at risk of late-onset neonatal infection.
The search was re-run in July 2020 to identify any studies which had been published since the date of the original search. This combined search for early- and late-onset prediction models returned a total of 244 results of which 14 were identified as possible included studies. After full text review, all were excluded. In total there were therefore 9 studies which met the inclusion criteria for this review (5 prospective cohort studies, 4 retrospective cohort studies).
1.1.4.2. Excluded studies
See Appendix J for excluded studies and reasons for exclusion.
1.1.5. Summary of studies included in the prognostic evidence
See appendix D for full evidence tables.
1.1.6. Model summaries
RALIS model
The RALIS model was developed in Israel and is designed to predict the risk of late-onset neonatal infection for preterm babies with a birthweight less than 1500 g. This is a computerised algorithm including heart rate, respiratory rate, core body temperature, body weight, desaturations and bradycardias. The model is designed to produce an alarm to indicate that a baby is at risk of late-onset neonatal infection.
NOSEP model
The NOSEP models (NOSEP, NOSEP-New-I, NOSEP-New-II) were developed in Belgium and are designed to predict a baby’s risk of developing nosocomial sepsis. The models include information on C-reactive protein (CRP) levels, thrombocytopenia, neutrophil fraction, fever and duration of total parenteral nutrition. There is no evidence of a web-based tool or software that can be used directly by a clinician.
Celik models
Three models developed by Celik 2013 in Turkey, based on a combination of parameters obtained from a blood sample, and used to predict the risk of a baby developing neonatal sepsis. There is no evidence of a web-based tool or software that can be used directly by a clinician.
Machine learning models
The models reported by Mani 2014 were developed in the USA, based on machine learning from medical data and data from electronic medical records and used to predict the risk of a baby developing late-onset sepsis. Either sensitivity or specificity was fixed in each of the models to match the predictive ability of a clinician. There is no evidence of a web-based tool or software that can be used directly by a clinician.
Demographics and heart rate models
The models reported by Griffin 2003 were developed in the USA, based on demographic information and heart rate data and used to predict the risk of a baby developing neonatal sepsis or sepsis-like illness. There is no evidence of a web-based tool or software that can be used directly by a clinician.
Nearest neighbour model
The nearest neighbour model was developed in the USA and used information from heart rate data and laboratory tests to match babies with similar symptoms or test results and provide an indication of their diagnoses and outcomes. The most successful model included the heart rate characteristics index, white blood cell count, I/T (immature/total) ratio and HCO3. There is no evidence of a web-based tool or software that can be used directly by a clinician.
1.1.7. Summary of the prognostic evidence
Sensitivity and specificity
Comparison | No. studies | Sample size | Sensitivity (95%CI) | Specificity (95%CI) | Effect size (95% CI) | Quality |
---|---|---|---|---|---|---|
RALIS model | 3 | 2279 |
0.81 (0.67, 0.90) |
0.70 (0.44, 0.87) |
LR+ 2.82 (1.38, 5.78) | Very low |
LR− 0.29 (0.16, 0.52) | Low | |||||
NOSEP model | 2 | 173 |
0.87 (0.47, 0.98) |
0.50 (0.37, 0.64) |
LR+ 1.68 (1.34, 2.12) | Moderate |
LR− 0.26 (0.06, 1.11) | Very low | |||||
NOSEP New-I model | 1 | 93 |
0.84 (0.72, 0.92) |
0.43 (0.29, 0.58) |
LR+ 1.48 (1.11, 1.97) | High |
LR− 0.37 (0.18, 0.76) | Moderate | |||||
NOSEP New-II model | 1 | 93 |
0.82 (0.69, 0.91) |
0.67 (0.51, 0.79) |
LR+ 2.47 (1.58, 3.86) | Moderate |
LR− 0.26 (0.14, 0.50) | Moderate | |||||
Model 1 (Celik 2013) | 1 | 304 |
0.88 (0.79, 0.94) |
0.92 (0.88, 0.95) |
LR+ 11.82 (7.43, 18.82) | Moderate |
LR− 0.13 (0.07, 0.24) | Moderate | |||||
Model 2 (Celik 2013) | 1 | 304 |
0.88 (0.79, 0.94) |
0.92 (0.88, 0.95) |
LR+ 11.82 (7.43, 18.82) | Moderate |
LR− 0.13 (0.07, 0.24) | Moderate | |||||
Model 3 (Celik 2013) | 1 | 304 |
0.96 (0.89, 0.99) |
0.91 (0.87, 0.94) |
LR+ 10.95 (7.19, 16.68) | Moderate |
LR− 0.04 (0.01, 0.13) | Moderate | |||||
NB model (Mani 2014) | 1 | 299 |
0.83 (0.74, 0.89) |
0.18 (0.13, 0.24) |
LR+ 1.02 (0.91, 1.14) | Low |
LR− 0.93 (0.55, 1.58) | Low | |||||
RF model (Mani 2014) | 1 | 299 |
0.83 (0.74, 0.89) |
0.18 (0.13, 0.24) |
LR+ 1.00 (0.90, 1.12) | Low |
LR− 0.99 (0.59, 1.66) | Low | |||||
CART model (Mani 2014) | 1 | 299 |
0.75 (0.65, 0.82) |
0.18 (0.13, 0.24) |
LR+ 0.91 (0.80, 1.04) | Low |
LR− 1.39 (0.89, 2.19) | Very low | |||||
AODE model (Mani 2014) | 1 | 299 |
0.88 (0.80, 0.94) |
0.18 (0.13, 0.24) |
LR+ 1.08 (0.98, 1.19) | Low |
LR− 0.64 (0.34, 1.20) | Low | |||||
NB model 2 (Mani 2014) | 1 | 299 |
0.75 (0.65, 0.82) |
0.32 (0.26, 0.38) |
LR+ 1.10 (0.94, 1.27) | Low |
LR− 0.79 (0.53, 1.18) | Low | |||||
RF model 2 (Mani 2014) | 1 | 299 |
0.75 (0.65, 0.82) |
0.23 (0.18, 0.29) |
LR+ 0.97 (0.84, 1.12) | Low |
LR− 1.10 (0.72, 1.68) | Low | |||||
CART model 2 (Mani 2014) | 1 | 299 |
0.75 (0.65, 0.82) |
0.18 (0.13, 0.24) |
LR+ 0.91 (0.80, 1.04) | Low |
LR− 1.39 (0.89, 2.19) | Very low | |||||
AODE model 2 (Mani 2014) | 1 | 299 |
0.75 (0.65, 0.82) |
0.36 (0.30, 0.43) |
LR+ 1.16 (1.00, 1.36) | Low |
LR− 0.71 (0.48, 1.04) | Very low |
c-statistics (Higher values reflect better classification accuracy. C-statistics from 0.7 – 1.0 reflect good to outstanding accuracy for predicting neonatal infection)
No. studies | Sample size |
c-statistic (95% CI) (or SD if stated) | Quality |
---|---|---|---|
NOSEP model | |||
1 (Mahieu 2002) | 80 |
0.82 (SD ±0.04) | Low |
1 (Mahieu 2002) | 93 |
0.66 (SD ±0.06) | Low |
NOSEP-New-I model | |||
1 (Mahieu 2002) | 93 |
0.71 (SD ±0.05) | Low |
NOSEP-New-II model | |||
1 (Mahieu 2002) | 93 |
0.82 (SD ±0.04) | Low |
Celik 2013 (Model 1) | |||
1 (Celik 2013) | 304 |
0.95 (0.92, 0.98) | Moderate |
Celik 2013 (Model 2) | |||
1 (Celik 2013) | 304 |
0.95 (0.91, 0.97) | Moderate |
Celik 2013 (Model 3) | |||
1 (Celik 2013) | 304 |
0.98 (0.95, 0.99) | Moderate |
Mani 2014 (NB model – specificity fixed at 0.18) | |||
1 (Mani 2014) | 299 |
0.64 (0.51, 0.79) | Low |
Mani 2014 (RF model – specificity fixed at 0.18) | |||
1 (Mani 2014) | 299 |
0.57 (0.50, 0.73) | Very low |
Mani 2014 (CART model – specificity fixed at 0.18) | |||
1 (Mani 2014) | 299 |
0.65 (0.53, 0.77) | Very low |
Mani 2014 (AODE model – specificity fixed at 0.18) | |||
1 (Mani 2014) | 299 |
0.61 (0.51, 0.75) | Very low |
Mani 2014 (NB model 2 – sensitivity fixed at 0.75) | |||
1 (Mani 2014) | 299 |
0.64 (0.51, 0.79) | Very low |
Mani 2014 (RF model 2 – specificity fixed at 0.18) | |||
1 (Mani 2014) | 299 |
0.57 (0.50,0.73) | Very low |
Mani 2014 (CART model 2 – specificity fixed at 0.18) | |||
1 (Mani 2014) | 299 |
0.65 (0.53, 0.77) | Very low |
Mani 2014 (AODE model 2 – specificity fixed at 0.18) | |||
1 (Mani 2014) | 299 |
0.61 (0.51, 0.75) | Very low |
Demographics and heart rate monitoring models: demographics and HR characteristics | |||
1 (Griffin 2003) | 633 |
0.72 CI not reported | Moderate |
Demographics and heart rate monitoring models: demographics and HR characteristics index | |||
1 (Griffin 2003) | 633 |
0.77 CI not reported | Moderate |
Nearest neighbour model (optimal model: HRC index, WBC, I:T ratio, HCO3) | |||
1 (Xiao 2010) | 676 |
0.86 CI not reported | Moderate |
See appendix F for full GRADE tables.
1.1.8. Economic evidence
1.1.8.1. Included studies
A single search was performed to identify published economic evaluations of relevance to any of the questions in this guideline update (see appendix B). This search retrieved 4,398 studies. Based on title and abstract screening, all of the studies could confidently be excluded for this question.
The search was re-run in July 2020 to identify any studies which had been published since the date of the original search. This returned a total of 577 results. Based on title and abstract screening, all the studies could confidently be excluded for this question. Thus, the review for this question does not include any study from the existing literature.
1.1.9. Economic model
This question was not prioritised for original economic analysis.
2.1. Review question
Which maternal risk factors for late-onset neonatal infection should be used to guide management in the baby?
2.1.1. Introduction
Neonatal infection is a significant cause of mortality and morbidity. It can lead to life-threatening sepsis, which accounts for 10% of all neonatal deaths. For the purpose of this guideline, late-onset neonatal infection is defined as infection which occurs between 72 hours of birth and 28 days of age (corrected for gestational age).
Predicting which babies are most at risk of late-onset neonatal infection is important to help determine who should receive antibiotic treatment. A culture taken from blood or cerebrospinal fluid which tests positive for the organisms associated with infection is the gold-standard for identifying which babies should receive treatment. However, waiting for the results of these tests may delay treatment. Identifying the factors which can put a baby at high risk of neonatal infection is therefore important to help determine whether a baby should be given antibiotics while waiting for the results of a blood culture to confirm infection. The aim of this review is therefore to evaluate potential risk factors in the mother and determine how well they can guide management of the baby.
2.1.2. Summary of the protocol
Population |
|
---|---|
Risk factors |
|
Reference standard |
|
Outcomes | Outcomes for predictive accuracy studies:
|
2.1.3. Methods and process
This evidence review was developed using the methods and process described in Developing NICE guidelines: the manual. Methods specific to this review question are described in the review protocol in Appendix A. For full details of the methods used see the methods document.
Declarations of interest were recorded according to NICE’s 2018 conflicts of interest policy.
Predictive accuracy studies were considered in addition to systematic reviews. For outcomes where no predictive accuracy studies were available, multivariate cohort studies that reported adjusted measures of association were included. The review protocol specified that, where possible, subgroup analyses would be conducted for gestational age of the baby (preterm vs term), multiple births, age of the baby (72 hours to 6 days vs 7+ days) and for babies who had been admitted to the hospital from home. However, no evidence was available for any of the specified subgroup analyses.
Some studies reported outcomes that matched the protocol but were only reported as part of univariate analysis. These outcomes were not included in the analysis as they did not meet the inclusion criteria for multivariate analyses methods.
Protocol deviation
The review protocol specified the risk factors that would be included a priori based on the knowledge and experience of the committee. However, on presentation of the evidence, the committee identified further risk factors that were important that were missing from the evidence review. The protocol was subsequently expanded to include all risk factors and clinical indicators on which evidence was available, not just the factors pre-specified in the review protocol.
2.1.4. Prognostic evidence
2.1.4.1. Included studies
A joint search was carried out to identify studies specified for this review question, and a similar review question for studies assessing risk factors and signs and symptoms in the baby for late-onset infection (for details, see section 3.1 on neonatal factors). This returned a total of 7,146 results, of which 134 were identified as potential included studies for either of the reviews. Full text articles were ordered and reviewed against the inclusion criteria, of which 3 met the inclusion criteria for this review. All 3 studies reported predictive accuracy data (2 retrospective cohort studies and 1 prospective cohort study).
The joint search was re-run in July 2020 to identify any studies that had been published since the date of the original search. This returned a total of 670 results of which 14 were identified as possible included studies for either of the reviews. After full text review, 3 retrospective cohort studies met the inclusion criteria for this review and reported adjusted measures of association. In total there were therefore 6 studies which met the inclusion criteria for this review. This included 3 predictive accuracy studies and 3 association studies.
One multivariate cohort study (Rastogi 2015) reported on the association between maternal obesity and late-onset neonatal infection. The reference standard for this study was neonatal sepsis, based on an ICD-9 code of 771.81. This study was presented to the committee, but the committee expressed concerns about the diagnosis, suggesting that many babies categorised using the ICD-9 code may not have had a diagnosis confirmed by blood culture. There was also no information about whether babies had early- or late-onset infection. This study was therefore excluded from the review because it did not use the reference standard specified in the review protocol, leaving 5 applicable studies for this review question.
2.1.4.2. Excluded studies
See Appendix J for excluded studies and reasons for exclusion.
2.1.5. Summary of studies included in the prognostic evidence
See appendix D for full evidence tables.
2.1.6. Summary of the prognostic evidence
Sensitivity and specificity – predictive accuracy studies
No. of studies | Sample size | Sensitivity (95%CI) | Specificity (95%CI) | Effect size (95%CI) | Quality |
---|---|---|---|---|---|
Maternal chorioamnionitis | |||||
1 (Garcia-Munoz 2014) | 8330 |
0.196 (0.18, 0.21) |
0.83 (0.82, 0.84) | LR+ 1.16 (1.06, 1.28) | Moderate |
LR− 0.96 (0.95, 0.99) | Moderate | ||||
Intra-amniotic infection | |||||
1 (Nayeri 2018) | 378 |
0.50 (0.23, 0.78) |
0.53 (0.47, 0.59) |
LR+ 1.07 (0.57, 2.0) | Very low |
LR− 0.94 (0.5, 1.77) | Very low | ||||
Vaginal mode of delivery (vs caesarean) | |||||
1 (Olivier 2016) | 20038 |
0.5 (0.32, 0.68) |
0.59 (0.57, 0.63) |
LR+ 1.23 (0.83, 1.8) | Low |
LR− 0.84 (0.57, 1.45) | Low |
Adjusted ORs – association studies
No. of studies | Sample size |
Effect size (95%CI) | Quality |
---|---|---|---|
Antenatal steroids (OR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Lee 2019) | 2900 |
Adjusted OR 1.13 (0.87, 1.47) | Moderate |
Gestational weight gain for women with BMI ≥40 mg/kg2 (OR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Njagu 2020) | 374 |
Adjusted OR 2.85 (1.06, 7.67) | Low |
Epidural (OR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Ward 2020) | 34,371 |
Adjusted OR 0.53 (0.29, 0.98) | Low |
See appendix F for full GRADE tables.
2.1.7. Economic evidence
2.1.7.1. Included studies
A systematic review of the economic literature was conducted. 4,398 studies were retrieved by the search. No economic studies were identified which were applicable to this review question and no full-text copies of articles were requested.
The search was re-run in July 2020 to identify any studies which had been published since the date of the original search. This returned a total of 577 results. Based on title and abstract screening, all the studies could confidently be excluded for this question. Thus, the review for this question does not include any study from the existing literature.
2.1.8. Economic model
No economic modelling was undertaken for this review because of a lack of economic evidence and because the committee agreed that other topics were higher priorities for economic evaluation.
3.1. Review question
Which risk factors in the baby (including symptoms and signs) should raise suspicion of late-onset neonatal infection?
3.1.1. Introduction
Neonatal infection is a significant cause of mortality and morbidity in newborn babies. It can lead to life-threatening sepsis, which accounts for 10% of all neonatal deaths. For the purpose of this guideline, late-onset neonatal infection is defined as infection which occurs between 72 hours of birth and 28 days of age (corrected for gestational age).
Predicting which babies are most at risk of late-onset neonatal infection is important to help determine who should receive antibiotic treatment. A culture taken from blood or cerebrospinal fluid which tests positive for the organisms associated with infection is the gold-standard for identifying which babies should receive treatment. However, waiting for the results of these tests may delay treatment. Identifying the factors which can put a baby at high risk of neonatal infection is therefore important to help determine whether a baby should be given antibiotics while waiting for the results of a blood culture to confirm infection. The aim of this review is therefore to evaluate potential risk factors as well as signs and symptoms in the baby to determine how they can guide management of the baby.
3.1.2. Summary of the protocol
Population |
|
---|---|
Risk factors | Signs and symptoms (diagnostic)
|
Reference standard |
|
Outcomes | Outcomes for predictive accuracy studies:
|
3.1.3. Methods and process
This evidence review was developed using the methods and process described in Developing NICE guidelines: the manual. Methods specific to this review question are described in the review protocol Error! Reference source not found.. For full details of the methods used see the methods document.
Declarations of interest were recorded according to NICE’s 2018 conflicts of interest policy.
Predictive accuracy studies were considered in addition to systematic reviews. For outcomes where no predictive accuracy studies were available, multivariate cohort studies that reported adjusted measures of association were included. The review protocol specified that, where possible, subgroup analyses would be conducted for gestational age of the baby (preterm vs term), multiple births, age of the baby (72 hours to 6 days vs 7+ days) and for babies who had been admitted to the hospital from home. Data was available for gestational age and, in some cases, multiple births, but no data was reported for the other subgroups.
Protocol deviation
The review protocol specified the risk factors that would be included a priori based on the knowledge and experience of the committee. However, on presentation of the evidence, the committee identified further risk factors that were important that were missing from the evidence review. The protocol was subsequently expanded to include all risk factors and clinical indicators on which evidence was available, not just the factors pre-specified in the review protocol.
3.1.4. Prognostic and diagnostic evidence
3.1.4.1. Included studies
A joint search was carried out to identify studies specified for this review question, and a similar review question for studies assessing maternal risk factors for late-onset neonatal infection (for details, see section 2.1 on maternal risk factors). This returned a total of 7,146 results, of which 134 were identified as potential included studies for either of the reviews. Full text articles were ordered and reviewed against the inclusion criteria, of which 11 met the inclusion criteria for this review. No studies reported predictive accuracy data. Sixteen multivariate cohort studies were identified (6 prospective and 10 retrospective studies), with most studies reporting on the association between late-onset neonatal infection and gestational age (5 studies), the presence of catheters (5 studies) or the use of ventilation (3 studies). The association of other factors with late-onset neonatal infection included history of surgery (2 studies) and altered behaviour (1 study). Results of the review were separated into prognostic (risk factors) and diagnostic (signs and symptoms) outcomes.
The search was re-run in July 2020 to identify any studies which had been published since the date of the original search. This returned a total of 670 results of which 14 were identified as possible included studies for either of the reviews. After full text review, no additional studies met the inclusion criteria.
3.1.4.2. Excluded studies
See Appendix J for excluded studies and reasons for exclusion.
3.1.5. Summary of studies included in the prognostic evidence
See appendix D for full evidence tables.
3.1.6. Summary of the prognostic and diagnostic evidence
3.1.6.1. Risk factors (prognostic outcomes)
Gestational age
No. of studies | Sample size |
Effect size (95%CI) | Quality |
---|---|---|---|
Extremely pre-term babies (HR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Sanderson 2017) 22-25 weeks vs 26-27 weeks | 3985 |
Adjusted HR 1.58 (1.23, 2.04) | Low |
Extremely pre-term vs pre-term (OR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Garland 2017) <25 weeks vs >32 weeks | 2913 |
Adjusted OR 4.40 (2.50, 7.80) | Moderate |
1 (Garland 2017) 25-28 weeks vs >32 weeks | 2913 |
Adjusted OR 2.20 (1.30, 3.70) | Moderate |
Extremely pre-term vs pre-term (HR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Sanderson 2017) 22-25 weeks vs 28-31 weeks | 3985 |
Adjusted HR 3.57 (2.70, 4.76) | Moderate |
1 (Sanderson 2017) 22-25 weeks vs 32-36 weeks | 3985 |
Adjusted HR 6.67 (4.34, 10.0) | Moderate |
Very pre-term vs term (OR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Garland 2017) 29-32 weeks vs >32 weeks | 2913 |
Adjusted OR 2.04 (1.11, 3.70) | Moderate |
Very pre-term vs term (RR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Auriti 2003) <32 weeks vs >32 weeks | 280 |
Adjusted RR 3.58 (No CI provided) | Very low |
Pre-term vs term (OR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Leal 2012) <37 weeks vs >37 weeks | 11,790 |
Adjusted HR 1.08 (1.03, 1.14) | Moderate |
Gestational age (no specific age comparisons provided) (OR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Nayeri 2018) | 378 |
Adjusted OR 1.42 (1.25, 1.66) | Moderate |
1 (Smith 2008) | 882 |
Adjusted OR 1.25 (1.32, 1.19) | Low |
1 (Troger 2014) | 5886 |
Adjusted OR 1.33 (1.28, 1.39) | Moderate |
Singleton birth subgroup (OR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Boghossian 2013) Weeks (from <25 to >32) | 15,178 |
Adjusted OR 1.23 (1.20, 1.27) | Moderate |
Multiple births subgroup (OR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Boghossian 2013) Weeks (from <25 to >32) | 5294 |
Adjusted OR 1.20 (1.15, 1.27) | Moderate |
History of surgery
No. of studies | Sample size |
Effect size (95%CI) | Quality |
---|---|---|---|
Single births only (OR/HR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Boghossian 2013) | 20,472 |
Adjusted OR 1.43 (1.26, 1.61) | Moderate |
1 (Sanderson 2017) | 3985 |
Adjusted HR 1.00 (0.77, 1.29) | Very low |
Presence of a catheter
No. of studies | Sample size |
Effect size (95%CI) | Quality |
---|---|---|---|
Central venous catheter (RR/OR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Auriti 2003) | 280 |
Adjusted RR 3.61 (No CI reported) | Very low |
1 (Babazono 2008) | 871 |
Adjusted OR 2.27 (1.28, 4.02) | Moderate |
1 (Bekhof 2013) | 142 |
Adjusted OR 7.13 (3.15, 16.16) | Moderate |
1 (Padula 2014) | 409 | OR 2.52 (1.44, 4.38) | Moderate |
Umbilical catheter (OR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Babazono 2008) | 871 |
Adjusted OR 0.87 (0.34, 2.56) | Low |
1 (Babazono 2008) | 871 |
Adjusted OR 1.46 (0.60, 3.54) | Low |
Urinary catheter (OR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Babazono 2008) | 871 |
Adjusted OR 1.34 (0.69, 2.60) | Low |
PICC vs UVC (HR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Sanderson 2017) | 3985 |
Adjusted HR 0.51 (0.40, 0.66) | Low |
Peripheral cannula vs central PICC (OR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Smith 2008) | 882 |
Adjusted OR 0.50 (0.26, 0.96) | Low |
Other catheter related factors
No. of studies | Sample size |
Effect size (95%CI) | Quality |
---|---|---|---|
Catheter related infection during initial catheterisation – refers to infections after catheter removal (OR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Garland 2017) | 2913 |
Adjusted OR 2.0 (1.06, 3.79) | Moderate |
Catheter dwell time (OR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Smith 2008) | 882 |
Adjusted OR 0.98 (0.96, 0.995) | Low |
Age at central venous catheter insertion 7-13 days vs <7days (HR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Sanderson 2017) | 3985 |
Adjusted HR 0.8 (0.56, 1.15) | Very low |
Age at central venous catheter insertion 14-20 days vs <7days (HR >1 indicates risk factor of lateo-nset neonatal infection) | |||
1 (Sanderson 2017) | 3985 |
Adjusted HR 0.92 (0.57, 1.5) | Very low |
Age at central venous catheter insertion 21-27 days vs <7days (HR >1 indicates risk factor of lateo-nset neonatal infection) | |||
1 (Sanderson 2017) | 3985 |
Adjusted HR 0.28 (0.1, 0.75) | Low |
Age at central venous catheter insertion >=28 days vs <7days (HR >1 indicates risk factor of lateo-nset neonatal infection) | |||
1 (Sanderson 2017) | 3985 |
Adjusted HR 0.53 (0.33, 0.85) | Low |
Weight
No. of studies | Sample size |
Effect size (95%CI) | Quality |
---|---|---|---|
Birthweight <1000g vs =>1500g (OR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Babazono 2008) | 871 |
Adjusted OR 8.82 (4.8, 16.21) | Moderate |
Birthweight 1000g-1499g vs =>1500g (OR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Babazono 2008) | 871 |
Adjusted OR 2.35 (1.02, 5.38) | Moderate |
Birthweight =< 2500g (OR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Leal 2012) | 11790 | HR 1.04 (1.01, 1.08) | Moderate |
Small for gestational age – singleton pregnancies (OR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Boghossian 2013) | 20038 |
Adjusted OR 1.22 (1.06, 1.43) | Moderate |
Small for gestational age (OR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Troger 2016) | 5886 |
Adjusted OR 1.31 (1.02, 1.68) | Low |
Weight at episode <1200g (OR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Bekhof 2013) | 142 | Adjusted OR 1.72 (0.87, 3.4) | Low |
Parenteral nutrition
No. of studies | Sample size |
Effect size (95%CI) | Quality |
---|---|---|---|
Parenteral nutrition – singleton pregnancies (OR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Boghossian 2013) | 20038 |
Adjusted OR 7.66 (3.1, 19.1) | Moderate |
Duration of parenteral nutrition (per day) | |||
1 (Troger 2016) | 5886 |
Adjusted OR 1.016 (1.011, 1.021) | Low |
Duration of total parenteral nutrition (per day) | |||
1 (Yapicioglu 2011) | 378 | OR 1.09 (1.06, 1.14) | Moderate |
Human milk
No. of studies | Sample size |
Effect size (95%CI) | Quality |
---|---|---|---|
Human milk vs formula (OR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Hylander 1998) | 212 |
Adjusted OR 0.50 (0.25, 1.02) | Low |
Gender
No. of studies | Sample size |
Effect size (95%CI) | Quality |
---|---|---|---|
Female gender- singleton pregnancies (OR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Boghossian 2013) | 20038 |
Adjusted OR 0.89 (0.81, 0.98) | Moderate |
Male gender (OR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Babazono 2008) | 871 |
Adjusted OR 1.86 (1.04, 3.35) | Moderate |
Length of hospital stay
No. of studies | Sample size |
Effect size (95%CI) | Quality |
---|---|---|---|
Length of hospital stay, per day – singleton pregnancies (OR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Boghossian 2013) | 20038 |
Adjusted OR 1.003 (1.002, 1.004) | Moderate |
Length of hospital stay, per day – multiple pregnancies (OR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Boghossian 2013) | 20038 |
Adjusted OR 1.005 (1.002, 1.009) | Moderate |
Age when full feeds achieved
No. of studies | Sample size |
Effect size (95%CI) | Quality |
---|---|---|---|
Age when full feeds achieved (per day)- singleton pregnancies (OR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Boghossian 2013) | 20038 |
Adjusted OR 1.041 (1.037, 1.045) | Moderate |
Age when full feeds achieved (per days) - multiple pregnancies (OR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Boghossian 2013) | 20038 |
Adjusted OR 0.827 (0.789, 0.867) | Moderate |
Patent ductus arteriosus
No. of studies | Sample size |
Effect size (95%CI) | Quality |
---|---|---|---|
Patent ductus arteriosus – relates specifically to infections following catheter removal (OR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Garland 2017) | 2913 |
Adjusted OR 0.49 (0.27, 0.9) | Moderate |
1 (Stoll 1996) | 6911 | OR 2.03 (1.33, 2.3) | Moderate |
Surgical procedure required
No. of studies | Sample size |
Effect size (95%CI) | Quality |
---|---|---|---|
Surgical procedure required (HR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Leal 2012) | 11790 | HR 2.85 (1.49, 5.46) | Moderate |
Invasive medical procedure required
No. of studies | Sample size |
Effect size (95%CI) | Quality |
---|---|---|---|
Invasive medical procedure required (HR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Leal 2012) | 11790 | HR 2.07 (1.63, 2.62) | Moderate |
Enteral contrast in previous 48hrs
No. of studies | Sample size |
Effect size (95%CI) | Quality |
---|---|---|---|
Enteral contrast in previous 48hrs (OR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Padula 2014) | 409 | OR 9.58 (2.03, 45.2) | Moderate |
Congenital abnormality
No. of studies | Sample size |
Effect size (95%CI) | Quality |
---|---|---|---|
Congenital abnormality (HR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Sanderson 2017) | 3985 |
Adjusted HR 1.45 (1.11, 1.89) | Low |
Treatment with antenatal steroids
No. of studies | Sample size |
Effect size (95%CI) | Quality |
---|---|---|---|
Treatment with anti-natal steroids (OR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Troger 2016) | 5886 |
Adjusted OR 0.7 (0.53, 0.92) | Low |
German descendance
No. of studies | Sample size |
Effect size (95%CI) | Quality |
---|---|---|---|
German descendance (OR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Troger 2016) | 5886 |
Adjusted OR 0.76 (0.63, 0.91) | Low |
3.1.6.2. Signs and symptoms (diagnostic outcomes)
Assisted ventilation
No. of studies | Sample size |
Effect size (95%CI) | Quality |
---|---|---|---|
Need for mechanical ventilation (OR/HR/RR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Babanoza 2008) | 871 |
Adjusted OR 1.49 (0.82, 2.72) | Low |
1 (Leal 2012) | 11,790 |
Adjusted HR 1.60 (1.19, 2.40) | Moderate |
1 (Makhoul 2006) | 111 |
Adjusted RR 2.37 (1.36, 4.15) | Very low |
Intubation (OR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Stoll 1996) | 6911 | OR 1.52 (1.31, 1.78) | Moderate |
Duration of ventilation (per day) (OR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Yapicioglu 2011) | 378 | OR 0.96 (0.94, 0.99) | Moderate |
Duration of intubation (per week) (OR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Kim 2018) | 364 | OR 1.12 (1.05, 1.18) | Low |
Hood O2 Use (per day) OR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Yapicioglu 2011) | 378 | OR 1.13 (1.06, 1.2) | Moderate |
Altered behaviour or responsiveness
No. of studies | Sample size |
Effect size (95%CI) | Quality |
---|---|---|---|
Lethargy (OR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Bekhof 2013) | 142 |
Adjusted OR 2.61 (1.14, 6.01) | Moderate |
Capillary refill >2s
No. of studies | Sample size |
Effect size (95%CI) | Quality |
---|---|---|---|
Capillary refill >2 s (OR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Bekhof 2013) | 142 |
Adjusted OR 2.32 (1, 5.37) | Low |
Pallor/grey skin
No. of studies | Sample size |
Effect size (95%CI) | Quality |
---|---|---|---|
Pallor/grey skin (OR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Bekhof 2013) | 142 |
Adjusted OR 1.25 (0.52, 2.97) | Low |
Apgar score=<5
No. of studies | Sample size |
Effect size (95%CI) | Quality |
---|---|---|---|
Apgar score=<5 (HR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Leal 2012) | 11790 | HR 1.4 (1.19, 1.76) | Moderate |
Respiratory difficulties
No. of studies | Sample size |
Effect size (95%CI) | Quality |
---|---|---|---|
Apnoea (OR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Padula 2014) | 409 | OR 2.86 (1.43, 5.73) | Moderate |
Respiratory distress syndrome (OR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Stoll 1996) | 6911 | OR 1.52 (1.31, 1.78) | Moderate |
Bronchopulmonary dysplasia (OR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Stoll 1996) | 6911 | OR 2.2 (1.91, 2.55) | Moderate |
Steroids for bronchopulmonary dysplasia (OR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Stoll 1996) | 6911 | OR 1.59 (1.81, 2.48) | Moderate |
Necrotising enterocolitis
No. of studies | Sample size |
Effect size (95%CI) | Quality |
---|---|---|---|
NEC stage 2A or greater (OR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Stoll 1996) | 6911 | OR 4.58 (3.63, 5.66) | Moderate |
NEC stage 2B or greater at 23-26 weeks’ gestational age (OR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Kim 2018) | 364 | OR 3.38 (1.51, 7.55) | Low |
Hypotension
No. of studies | Sample size |
Effect size (95%CI) | Quality |
---|---|---|---|
Hypotension (OR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Padula 2014) | 409 | OR 2.64 (1.26, 5.5) | Moderate |
Intraventricular haemorrhage
No. of studies | Sample size |
Effect size (95%CI) | Quality |
---|---|---|---|
IVH grade 3/4 (OR >1 indicates risk factor of late-onset neonatal infection) | |||
1 (Stoll 1996) | 6911 | OR 1.27 (1.08, 1.52) | Moderate |
See appendix F for full GRADE tables.
3.1.7. Economic evidence
3.1.7.1. Included studies
A systematic review of the economic literature was conducted. 4,398 studies were retrieved by the search. No economic studies were identified which were applicable to this review question and no full-text copies of articles were requested.
3.1.8. Economic model
No economic modelling was undertaken for this review because of a lack of economic evidence and because the committee agreed that other topics were higher priorities for economic evaluation.
4.1. The committee’s discussion and interpretation of the evidence
4.1.1. The outcomes that matter most
The committee discussed the potential effects of true positive, true negative, false positive and false negative outcomes from tools designed to predict risk of late-onset neonatal infection. A model that correctly identifies all those with infection (true positives) would result in antibiotics being prescribed to all those who need treatment, reducing the serious harms associated with neonatal infection. If a model correctly identifies all those without infection (true negatives) then it will avoid over-prescribing of antibiotics. This is a particular concern when evaluating neonatal infection as it is difficult to diagnose and can therefore result in all, or most, babies being prescribed antibiotics to avoid any infections being missed and being left untreated.
If a model does not accurately predict true positives and true negatives, then there are a number of potential harms. False positive results will result in babies being given antibiotics unnecessarily, and admission to hospital will lead to separation of the mother and baby, potentially causing anxiety and distress to the family. False positive results will also incur the costs associated with a hospital stay and can contribute to the development of antibiotic resistance. However, a false negative result is the biggest concern for parents and clinicians as there can be serious consequences if neonatal infection is left untreated. The most serious consequence is death of the baby, but delayed treatment can also have long-term health consequences, such as neuro-disability, which can have both emotional and financial impacts on the family as well as downstream treatment costs for the healthcare system. Consequently, the committee prioritised negative likelihood ratios over positive likelihood ratios – the committee believed that it was important that negative test results were accurate, and that neonatal infection was not incorrectly ruled out.
Some studies only reported c-statistics and did not include data which allowed sensitivity, specificity or likelihood ratios to be calculated. The committee agreed that this outcome was less useful as it weighs false negatives and false positives as equally important, which the committee agreed was not appropriate.
No evidence was available on the sensitivity, specificity and likelihood ratios for risk factors and signs of infection. Instead, the committee decided that information about the associations between potential risk factors and infection was useful, provided it were from multivariate analyses that adjusted for potential confounding variables. Adjusted risk ratios, odds ratios and hazard ratios were therefore considered important.
4.1.2. The quality of the evidence
Eight studies investigated the use of clinical prediction models for late-onset neonatal infection, with quality the of the outcome measures ranging from high to very low quality. Most of the evidence was moderate or low quality, with outcomes most commonly downgraded for imprecision and for studies being at moderate risk of bias. Some of the results for the models had wide confidence intervals, raising questions over the imprecision of the results. Others, such as the demographics and heart rate model and the nearest neighbour model, reported very limited information on the statistical outcomes. These studies only reported c-statistics with no confidence intervals, and there was insufficient information to allow for the calculation of sensitivity or specificity. The models developed by Mani 2014 had low specificity, and had negative likelihood ratios that crossed 1, suggesting that a negative test outcome could indicate both a decrease and an increase in the probability of a baby having an infection. None of the studies were based in the UK and all but two of the models had only been evaluated by one study with no evidence of external validation. The committee still considered these relevant to the review and they were not downgraded for indirectness.
Two models (RALIS and NOSEP) did include evidence of external validation. However, the studies which investigated the use of the NOSEP model were published in 2000 and 2002, with no further evidence available since that time. Three studies published between 2014 and 2016 assessed the use of the RALIS model. However, the model does not appear to be available as a tool outside of the hospitals where it was evaluated. Given the age and location of some of the studies the committee agreed that any tool would need to be re-evaluated to reflect changes in clinical practice, and the differences in practice between the UK and the countries in which the research took place. The quality of outcomes from these studies were not downgraded, as they met the inclusion criteria for the protocol, but the committee decided that the issues with location and age of the research meant that the evidence was not sufficient for these models to be recommended. Instead it supported the need for a research recommendation to validate new or existing prognostic models for late-onset infection (Appendix K).
The majority of the evidence for the risk factors and signs of infection was of moderate or low quality. Evidence was sparse, with no information about some well-known clinical signs and symptoms of sepsis, such as abnormal heart rate, temperature abnormalities, and altered muscle tone. In addition, many of the studies only reported results when there was a significant association between sepsis and a risk factor or symptom of infection. The evidence base is therefore likely to be biased as evidence reporting no significant association between risk factors or symptoms and neonatal infection is likely to have been under-reported. Where studies reported limited information about the analysis methods, or did not report non-significant associations, their outcomes were downgraded for risk of bias. There was very limited evidence for maternal risk factors for late-onset infection, and although some of the studies reported diagnostic accuracy measures, such as sensitivity and specificity, much of this was low quality. The committee therefore focused on the risk factors and signs and symptoms in the baby when developing the recommendations.
The committee discussed the methodological limitations of the studies, as most reported limited or no information on the multivariate analysis, particularly which variables were adjusted for in the model. Most studies were therefore downgraded for risk of bias. Some studies did not report whether blood cultures were taken before or after babies were given antibiotics, and so these were also downgraded for risk of bias. The applicability of the studies was also discussed as many stated that they were investigating sepsis, late-onset infection or nosocomial infection but did not state a maximum age at which their definition of infection ended. It was therefore unclear whether the studies matched the definition in the protocol of infection up to 28 days of age. However, as the studies were based in neonatal units the committee decided that they were likely to be applicable to the research question. Studies were therefore not downgraded for indirectness.
Some of the studies had limited information about the risk factors that were investigated. This was a particular issue for the 3 studies that compared babies with a central venous catheter (CVC) to babies who were not given a catheter. Some of the studies did not specify whether the catheters inserted were umbilical arterial, umbilical venous or peripherally inserted central catheters (PICCs). The committee thought that this information was important as each type of catheter has a different use, is inserted at a different time, and can remain in place for different lengths of time. However, it decided that the evidence was sufficient to support current clinical consensus that the insertion of a central catheter can increase a baby’s risk of developing late-onset neonatal infection.
All of the evidence was based in neonatal units, meaning that it reflected some of the risk factors faced by babies who are being cared for in hospital. However, the committee highlighted that babies who are admitted to hospital from home are usually admitted to a paediatric, rather than neonatal ward. Consequently, there was no evidence available for the risk factors for a baby who is being cared for at home. The committee agreed that there is a big difference between an infection which occurs in hospital and infection in the community. Although some of the findings, such as those related to gestational age, could be applied to these group of babies, many were not relevant, supporting the need for a research recommendation (Appendix K).
4.1.3. Benefits and harms
A tool that can accurately predict whether a baby is at high or low risk of late-onset neonatal infection would help to ensure that only babies who were likely to develop an infection would be given antibiotics. This would also reduce the adverse effects associated with unnecessary treatment for both the baby and the baby’s family as well as reducing the costs associated with treatment. A model based on clinical signs and symptoms would help to make this decision more quickly than current practice whereby babies are screened for infection and treated with antibiotics until culture results are available. However, although some of the models that have been investigated, such as the Celik models, showed high sensitivity and specificity and likelihood ratios that were beyond the clinical decision threshold, they also included factors that would require substantial changes to clinical practice, such as the need to run tests that are not currently part of routine practice. Using these models would therefore involve resource implications such as training for clinicians prior to their implementation. The committee also had concerns over the age of some of the studies and the reasons why some of the models, despite showing good sensitivity and specificity, had not been investigated in more recent studies. The risk factors for late-onset neonatal infection may have changed in the last 10 years, and so more recent studies are needed to ensure the safety of these models and allow a particular clinical prediction model to be recommended.
Given the limited evidence for prognostic models for late-onset infection, the committee decided that recommendations should be based on the risk factors and signs and symptoms of late-onset neonatal infection. Evidence was found on a small subset of the risk factors and signs and symptoms specified in the review protocol, and was limited to association studies, rather than studies reporting predictive accuracy. Consequently, the committee were unable to make specific recommendations about when late-onset infection should be suspected and investigated further. However, the committee agreed that it was important that clinicians were aware of the risk factors for infection. The signs identified in the clinical indicators table were thought to be useful for clinicians in both a specialist and non-specialist setting. Some were more relevant to babies being treated in a hospital, and these were stated as risk factors in a separate recommendation. Given the potentially serious consequences of late-onset neonatal infection, the committee agreed that it was important that more research into the factors associated with late-onset infection should take place. However, it decided that this should be in relation to prognostic models for late-onset neonatal infection as these consider a range of potential risk factors and use them to predict a baby’s risk of infection. This was considered more useful in clinical practice than a list of individual risk factors, and so a research recommendation was made in relation to the development and validation of prognostic models (Appendix K).
The evidence showed that late-onset infection was associated with lower gestational age. When comparing the results for gestational age, the committee noted that there was a variety of comparisons. Some of these were preterm compared to term babies, as stated in the protocol, but many comparisons were based on the number of weeks’ gestation (such as extremely preterm compared to very preterm babies). With this lack of consistency in comparisons, and the low or moderate quality of many of the outcomes, the committee could not be specific about which babies were most at risk of infection based on gestational age. However, it agreed that the results indicated that the more pre-term a baby is, the greater their risk of developing infection. This was therefore included as one of the additional risk factors in the recommendations.
There was some conflict in the results for the use of catheters. When results were reported for central venous catheters, with no specific type of catheter stated, they indicated that the presence of a catheter may increase the risk of infection. In contrast, results for umbilical catheters suggested there was no clear difference in the risk of infection compared to when a baby does not have a catheter. However, with no other evidence on specific types of central catheters, the committee decided that it should report central catheters as a risk factor without specifying which type is most associated with infection.
There were also conflicting results for the association between history of surgery and late-onset infection. While one study indicated that a history of surgery could increase a baby’s chance of infection the other suggested that surgery did not alter the risk of infection. The study which suggested history was a risk factory had a much larger sample size than the study which reported no clear effect on infection rates. This, in addition to the clinical experience of the committee, led them to include history of surgery as a potential risk factor for late-onset infection.
The evidence available on the signs and symptoms of late-onset infection was limited and likely to be biased, due to the limited reporting of non-significant outcomes in many of the studies. The amount of evidence available for many of the risk factors and signs and symptoms was also very limited. Many of the outcomes (such as lethargy, capillary refill time, Apgar scores, hypotension, intraventricular haemorrhage and various outcomes for respiratory difficulties) had only one study to evaluate whether they are a risk factor or sign of infection, and so the committee did not think this was sufficient to justify including them in the recommendations. The committee therefore did not use the evidence directly to formulate a list of clinical indicators of late-onset infection. However, the high-risk criteria listed in the NICE sepsis guideline (NG51 - Section 1.4, Table 3) matched those that the committee considered important based on clinical experience. All of the risk factors included in the high-risk criteria from the sepsis guideline were therefore used as the important indicators of infection, with the exception of ‘no response to social cues’. The sepsis guidelines are based on all children under 5 and the committee did not think that this factor was applicable to a neonate population. Instead, they replaced ‘no response to social cues’ with ‘parental or carer concern over changes in behaviour’. Concern over changes in behaviour was highlighted as an important indicator of infection for newborn babies in the community. This was consistent with the knowledge and experience of the committee, who agreed that late-onset infection should be considered whenever a baby (under 28 days, corrected age) presented with altered behaviour that was causing concern, particularly in a non-specialist setting where a baby would not already be undergoing monitoring. Four other factors were also added to the clinical indicators (alterations in feeding pattern, abdominal distension, seizures and bulging fontanelle). These factors are specific to neonates and so are not part of the sepsis guidelines for children under 5 years. However, the committee decided that these were important factors that need to be considered when deciding on whether a baby is at risk of late-onset infection. The committee noted that babies with late-onset infection often deteriorate quickly, so it is important for non-specialist clinicians to have a low threshold for suspecting late-onset infection, and to seek specialist advice quickly.
Given the limited evidence on the signs and symptoms of late-onset infection, the committee discussed a number of other potential clinical indicators that were not included in the recommendations. However, the committee were concerned about the risk of over-treatment if too many clinical indicators were listed in the recommendations, especially if some of those indicators could have causes other than neonatal infection. The committee decided that the signs included in the recommendation were those that were most likely to indicate infection and therefore the most important to consider when assessing whether a baby may need treatment.
A benefit of increasing awareness of the risk factors for late-onset neonatal infection in non-specialist settings is that babies at risk of infection may be identified sooner and receive early treatment to avoid the negative effects of infection. Increasing the number of babies receiving treatment could potentially increase the development of antibiotic resistance. However, the recommendations are not expected to cause a major change in practice and so this was not seen as a major concern.
4.1.4. Cost effectiveness and resource use
For risk factors and signs of infection, the committee agreed that, while there are good reasons to be judicious about prescribing antibiotics, the costs of the medicines themselves are negligible. In contrast, the costs and consequences associated with infection, including but not limited to death and lifelong morbidity, are potentially very high. The committee agreed that increasing awareness of the risk factors for late-onset neonatal infection may result in cases of late-onset neonatal infection being identified sooner and receiving treatment earlier. This could be important in decreasing hospital stays and is bound to be cost-saving at the population level.
4.1.5. Other factors the committee took into account
A key issue when discussing the prognostic models was the lack of general availability of the models. The committee agreed that it could not recommend a model that was based purely on statistical modelling and did not have a user-friendly design, such as a web-based tool, that could be easily used by clinicians in a neonatal unit.
When considering risk factors, the committee discussed the differences in knowledge between clinicians working in specialist (for example neonatal and paediatric units) and non-specialist (for example community settings and A&E) settings. For instance, while factors such as gestational age are commonly considered risk factors by people working in neonatal units, a baby who is born at a low gestational age would not necessarily be flagged as being at greater risk of infection to community workers, such as GPs. This supported the committee’s decision to include prematurity as a risk factor alongside other issues, such as mechanical ventilation and presence of a catheter, both of which were identified as risk factors from the evidence, that are primarily risk factors for babies who are already in hospital. The committee also decided to highlight that suspected or confirmed infection in another baby in the case of a multiple birth should be a reason to consider the possibility of infection in siblings. Although this is a rare event, the committee decided that it was important to include this in the recommendations as it is something that would not necessarily be considered when evaluating a baby for risk of infection.
The committee discussed whether there should be a recommendation to begin antibiotic treatment based on the presence of a particular number of risk factors and clinical indicators.
However, because of the low quality of evidence identified for this question and the lack of an appropriate prediction model, the committee agreed that a prescriptive recommendation for antibiotic treatment was not appropriate. Instead the committee specified risk factors and clinical indicators that clinicians should be aware of when considering late-onset neonatal infection. As there are high risks associated with delayed treatment of neonatal infection, the committee decided that clinicians should begin treatment if late-onset neonatal infection is suspected, based on clinical judgement. This is in line with current practice, where a baby will be given antibiotics until blood culture results are available, and so it was agreed that an additional recommendation for this was not required.
The committee considered also equality issues. It noted that the risk of having a premature baby was higher in some ethnic groups, such as people of Black African family origin (Puthussery et al. 2019). It also noted that the likelihood of having a baby who is preterm also increased with maternal age (Fuchs et al 2018. Prematurity is noted as a factor in table 1 that can increase the risk of neonatal infection that clinicians should be particularly aware of.
4.1.6. Recommendations supported by this evidence review
This evidence review supports recommendations 1.4.1-1.4.2 and the research recommendation on clinical prediction models for late-onset infection.
4.1.7. References – included studies
4.1.7.1. Clinical prediction models
- Celik, I H, Demirel, G, Sukhachev, D et al. (2013) Neutrophil volume, conductivity and scatter parameters with effective modeling of molecular activity statistical program gives better results in neonatal sepsis.. International journal of laboratory hematology 35(1): 82–7 [PubMed: 22938598]
- Griffin, M Pamela, O’Shea, T Michael, Bissonette, Eric A et al. (2003) Abnormal heart rate characteristics preceding neonatal sepsis and sepsis-like illness.. Pediatric research 53(6): 920–6 [PubMed: 12646726]
- Gur, Ilan, Markel, Gal, Nave, Yaron et al. (2014) A mathematical algorithm for detection of late-onset sepsis in very-low birth weight infants: a preliminary diagnostic test evaluation.. Indian pediatrics 51(8): 647–50 [PubMed: 25128999]
- Gur, Ilan, Riskin, Arieh, Markel, Gal et al. (2015) Pilot study of a new mathematical algorithm for early detection of late-onset sepsis in very low-birth-weight infants.. American journal of perinatology 32(4): 321–30 [PubMed: 25077471]
- Mahieu LM, De Dooy JJ, Cossey VR et al. (2002) Internal and external validation of the NOSEP prediction score for nosocomial sepsis in neonates.. Critical care medicine 30(7): 1459–1466 [PubMed: 12130962]
- Mahieu LM, De Muynck AO, De Dooy JJ et al. (2000) Prediction of nosocomial sepsis in neonates by means of a computer-weighted bedside scoring system (NOSEP score). Critical care medicine 28(6): 2026–2033 [PubMed: 10890659]
- Mani, Subramani, Ozdas, Asli, Aliferis, Constantin et al. (2014) Medical decision support using machine learning for early detection of late-onset neonatal sepsis.. Journal of the American Medical Informatics Association : JAMIA 21(2): 326–36 [PMC free article: PMC3932458] [PubMed: 24043317]
- Mithal, Leena Bhattacharya, Yogev, Ram, Palac, Hannah et al. (2016) Computerized vital signs analysis and late onset infections in extremely low gestational age infants.. Journal of perinatal medicine 44(5): 491–7 [PubMed: 26845716]
- Xiao, Yuping, Griffin, M Pamela, Lake, Douglas E et al. (2010) Nearest-neighbor and logistic regression analyses of clinical and heart rate characteristics in the early diagnosis of neonatal sepsis.. Medical decision making : an international journal of the Society for Medical Decision Making 30(2): 258–66 [PMC free article: PMC2962439] [PubMed: 19541797]
4.1.7.2. Maternal risk factors
- Garcia-Munoz Rodrigo, Fermin, Galan Henriquez, Gloria, Figueras Aloy, Josep et al. (2014) Outcomes of very-low-birth-weight infants exposed to maternal clinical chorioamnionitis: a multicentre study. Neonatology 106(3): 229–34 [PubMed: 25011418]
- Lee, H.-S. and Kim, S.Y. (2019) Histological chorioamnionitis, antenatal steroids, and neonatal outcomes in very low birth weight infants: A nationwide study. PLoS ONE 14(10): e0224450 [PMC free article: PMC6818766] [PubMed: 31661511]
- Njagu, R., Adkins, L., Tucker, A. et al. (2020) Maternal weight gain and neonatal outcomes in women with class III obesity. Journal of Maternal-Fetal and Neonatal Medicine [PubMed: 32089032]
- Olivier, F, Bertelle, V, Shah, P S et al. (2016) Association between birth route and late-onset sepsis in very preterm neonates. Journal of perinatology : official journal of the California Perinatal Association 36(12): 1083–1087 [PubMed: 27583393]
- Ward, C. and Caughey, A.B. (2020) Does the presence of epidural analgesia reduce the risk of neonatal sepsis in the setting of an intrapartum fever?. Journal of Maternal-Fetal and Neonatal Medicine [PubMed: 32567418]
4.1.7.3. Neonatal risk factors
- Auriti, C, Maccallini, A, Di Liso, G et al. (2003) Risk factors for nosocomial infections in a neonatal intensive-care unit. The Journal of hospital infection 53(1): 25–30 [PubMed: 12495682]
- Babazono, Akira, Kitajima, Hiroyuki, Nishimaki, Shigeru et al. (2008) Risk factors for nosocomial infection in the neonatal intensive care unit by the Japanese Nosocomial Infection Surveillance (JANIS). Acta medica Okayama 62(4): 261–8 [PubMed: 18766209]
- Bekhof, Jolita, Reitsma, Johannes B, Kok, Joke H et al. (2013) Clinical signs to identify late-onset sepsis in preterm infants. European journal of pediatrics 172(4): 501–8 [PubMed: 23271492]
- Boghossian, Nansi S, Page, Grier P, Bell, Edward F et al. (2013) Late-onset sepsis in very low birth weight infants from singleton and multiple-gestation births. The Journal of pediatrics 162(6): 1120–1124e1 [PMC free article: PMC3633723] [PubMed: 23324523]
- Garland, J S, Kanneberg, S, Mayr, K A et al. (2017) Risk of morbidity following catheter removal among neonates with catheter associated bloodstream infection. Journal of neonatal-perinatal medicine 10(3): 291–299 [PubMed: 28854516]
Kim, J.K., Chang, Y.S., Sung, S. et al. (2018) Trends in the incidence and associated factors of late-onset sepsis associated with improved survival in extremely preterm infants born at 23-26 weeks’ gestation: A retrospective study. BMC Pediatrics 18(1): 172 [PMC free article: PMC5966853] [PubMed: 29792168] - Hylander, M A; Strobino, D M; Dhanireddy, R (1998) Human milk feedings and infection among very low birth weight infants. Pediatrics 102(3): e38 [PubMed: 9724686]
- Leal, Yelda A, Alvarez-Nemegyei, Jose, Velazquez, Juan R et al. (2012) Risk factors and prognosis for neonatal sepsis in southeastern Mexico: analysis of a four-year historic cohort follow-up. BMC pregnancy and childbirth 12: 48 [PMC free article: PMC3437209] [PubMed: 22691696]
- Makhoul, Imad R, Yacoub, Afeefi, Smolkin, Tatiana et al. (2006) Values of C-reactive protein, procalcitonin, and Staphylococcus-specific PCR in neonatal late-onset sepsis. Acta paediatrica (Oslo, Norway : 1992) 95(10): 1218–23 [PubMed: 16982493]
- Nayeri, Unzila Ali, Buhimschi, Catalin S, Zhao, Guomao et al. (2018) Components of the antepartum, intrapartum, and postpartum exposome impact on distinct short-term adverse neonatal outcomes of premature infants: A prospective cohort study. PloS one 13(12): e0207298 [PMC free article: PMC6281222] [PubMed: 30517142]
- Padula, Michael A, Dewan, Maya L, Shah, Samir S et al. (2014) Risk factors associated with laboratory-confirmed bloodstream infections in a tertiary neonatal intensive care unit. The Pediatric infectious disease journal 33(10): 1027–32 [PubMed: 24776516]
- Sanderson, E, Yeo, K T, Wang, A Y et al. (2017) Dwell time and risk of central-line-associated bloodstream infection in neonates. The Journal of hospital infection 97(3): 267–274 [PubMed: 28651859]
- Smith, P Brian, Benjamin, Daniel K Jr, Cotten, C Michael et al. (2008) Is an increased dwell time of a peripherally inserted catheter associated with an increased risk of bloodstream infection in infants?. Infection control and hospital epidemiology 29(8): 749–53 [PMC free article: PMC2768571] [PubMed: 18582196]
- Stoll, B J, Gordon, T, Korones, S B et al. (1996) Late-onset sepsis in very low birth weight neonates: a report from the National Institute of Child Health and Human Development Neonatal Research Network. The Journal of pediatrics 129(1): 63–71 [PubMed: 8757564]
- Troger, Birte, Gopel, Wolfgang, Faust, Kirstin et al. (2014) Risk for late-onset blood-culture proven sepsis in very-low-birth weight infants born small for gestational age: a large multicenter study from the German Neonatal Network. The Pediatric infectious disease journal 33(3): 238–43 [PubMed: 24030351]
- Yapicioglu, H., Ozcan, K., Sertdemir, Y. et al. (2011) Healthcare-associated infections in a Neonatal Intensive Care Unit in Turkey in 2008: Incidence and risk factors, a prospective study. Journal of Tropical Pediatrics 57(3): 157–16 [PubMed: 20601690]
4.3.2. Other citations
- Fuchs, F., Monet, B., Ducruet, T., Chaillet, N. and Audibert, F., 2018. Effect of maternal age on the risk of preterm birth: A large cohort study. PloS one, 13(1), p.e0191002. [PMC free article: PMC5791955] [PubMed: 29385154]
- Puthussery, S., Li, L., Tseng, P.C., Kilby, L., Kapadia, J., Puthusserry, T. and Thind, A., 2019. Ethnic variations in risk of preterm birth in an ethnically dense socially disadvantaged area in the UK: a retrospective cross-sectional study. BMJ open, 9(3), p.e023570. [PMC free article: PMC6429724] [PubMed: 30852531]
Appendices
Appendix A. Review protocols
A.1. Clinical prediction models – part A (prognostic accuracy studies) (PDF, 275K)
A.2. Clinical prediction models – part B (Test and treat RCTs) (PDF, 283K)
A.3. Maternal risk factors (PDF, 286K)
A.4. Neonatal risk factors (PDF, 281K)
Appendix B. Literature search strategies
B.1. Clinical search: Clinical prediction models
The search was conducted on 14th August 2019. Given the broad range of publication types included in the review protocol, no in-house publication type filters were used. The following databases were searched: Medline, Medline In Process, Medline E-pub Ahead of print, Embase, (all via the Ovid platform), Cochrane Database of Systematic Reviews, CENTRAL (all via the Wiley platform), and the DARE database (via the CRD platform).
Medline. Medline In Process, Medline E-pub
- exp Infant, Newborn/
- Term Birth/
- Infant Care/
- Perinatal Care/
- Intensive Care Units, Neonatal/
- Intensive Care, Neonatal/
- Infant Health/
- (newborn* or new born* or neonat* or neo-nat* or perinat* or peri-nat*).tw.
- ((premature or pre-mature* or preterm or pre-term) adj4 (child* or infant* or baby* or babies* or offspring)).tw.
- or/1-9
- exp Bacterial Infections/
- ((bacter* or strep* or staph* or GNB) adj4 (infect* or diseas* or contaminat* or mening* or pneumon* or nosocomial*)).tw.
- exp Sepsis/
- (sepsis or septic?emia* or py?emia* or pyho?emia*).tw.
- (septic* adj4 shock*).tw.
- or/11-15
- exp Streptococcus/
- exp Staphylococcus/
- (streptococc* or staphylococc*).tw.
- (GBS or MRSA or NRCS-A or MSSA).tw.
- (met?icillin-resistant adj3 aureus).tw.
- exp Escherichia coli/
- ((Escheric* or E) adj2 coli).tw.
- exp Listeria/
- listeria*.tw.
- exp Klebsiella/
- klebsiella*.tw.
- exp Pseudomonas/
- (pseudomonas or chryseomonas or flavimonas).tw.
- Enterobacteriaceae/
- (enterobact* or sodalis or paracolobactrum or ewingella or leclercia).tw.
- ((enteric or coliform) adj2 bac*).tw.
- exp Neisseria/
- neisseria*.tw.
- exp Haemophilus influenzae/
- ((h?emophil* or H or bacter* or bacill* or mycobacter* or coccobac*) adj2 (influenz* or pfeiffer* or meningitidis)).tw.
- exp Serratia/
- serratia*.tw.
- exp Cronobacter/
- (cronobact* or sakazaki* or malonatic*).tw.
- exp Acinetobacter/
- (acinetobact* or herellea* or mima or baumanni* or genomosp* or calcoacetic*).tw.
- exp Fusobacterium/
- (fusobact* or sphaerophor* or necrophorum or nucleatum).tw.
- exp Enterococcus/
- enterococc*.tw.
- or/17-46
- 16 or 47
- 10 and 48
- ((newborn* or new born* or neonat* or neo-nat* or perinat* or peri-nat*) adj4 infect*).tw.
- ((premature or pre-mature* or preterm or pre-term) adj4 (child* or infant* or baby* or babies* or offspring) adj4 infect*).tw.
- 50 or 51
- 49 or 52
- (bacter?emia* or bacill?emia*).tw.
- (blood* adj4 (infect* or contamin* or invas* or invad*)).tw.
- 54 or 55
- 10 and 56
- 53 or 57
- Risk Assessment/mt [Methods]
- ((risk* or predict* or probab* or prognos* or quantitativ*) adj2 (model* or tool* or algorithm* or rul*)).tw.
- (diagnos* adj2 (model* or algorithm*)).tw.
- ((sepsis* or septic* or Bayes* or EOS or LOS) adj4 calculator*).tw.
- (NEOSC or EOSCAL* or SRC).tw.
- (Kaiser adj2 Permanente).tw.
- (Kaiser adj10 calculator*).tw.
- ((sepsis or septic*) adj4 risk* adj4 scor*).tw.
- SRS.tw.
- ((sepsis* or septic*) adj4 (metascore* or meta-score*)).tw.
- Diagnosis, Computer-Assisted/
- Algorithms/
- ((computer* or vital signs* or math* or manag* or clinic* or medic* or stratif* or prevent* or therap*) adj4 algorithm*).tw.
- RALIS.tw.
- (computer* adj4 (analys* or template*)).tw.
- Decision Support Techniques/
- (decision* adj4 (aid* or analys* or support* or assist*)).tw.
- CDSS*.tw.
- or/59-76
- 58 and 77
- Animals/ not Humans/
- 78 not 79
- limit 80 to english language
Embase
- newborn/
- term birth/
- infant care/
- perinatal care/
- neonatal intensive care unit/
- newborn intensive care/
- child health/
- (newborn* or new born* or neonat* or neo-nat* or perinat* or peri-nat*).tw.
- ((premature or pre-mature* or preterm or pre-term) adj4 (child* or infant* or baby* or babies* or offspring)).tw.
- or/1-9
- exp bacterial infection/
- ((bacter* or strep* or staph* or GNB) adj4 (infect* or diseas* or contaminat* or mening* or pneumon* or nosocomial*)).tw.
- exp sepsis/
- (sepsis or septic?emia* or py?emia* or pyho?emia*).tw.
- (septic* adj4 shock*).tw.
- or/11-15
- exp Streptococcus/
- exp Staphylococcus/
- (streptococc* or staphylococc*).tw.
- (GBS or MRSA or NRCS-A or MSSA).tw.
- (met?icillin-resistant adj3 aureus).tw.
- exp Escherichia coli/
- ((Escheric* or E) adj2 coli).tw.
- exp Listeria/
- listeria*.tw.
- exp Klebsiella/
- klebsiella*.tw.
- exp Pseudomonas/
- (pseudomonas or chryseomonas or flavimonas).tw.
- Enterobacteriaceae/
- (enterobact* or sodalis or paracolobactrum or ewingella or leclercia).tw.
- ((enteric or coliform) adj2 bac*).tw.
- exp Neisseria/
- neisseria*.tw.
- exp Haemophilus influenzae/
- ((h?emophil* or H or bacter* or bacill* or mycobacter* or coccobac*) adj2 (influenz* or pfeiffer* or meningitidis)).tw.
- exp Serratia/
- serratia*.tw.
- exp cronobacter/
- (cronobact* or sakazaki* or malonatic*).tw.
- exp Acinetobacter/
- (acinetobact* or herellea* or mima or baumanni* or genomosp* or calcoacetic*).tw.
- exp Fusobacterium/
- (fusobact* or sphaerophor* or necrophorum or nucleatum).tw.
- exp Enterococcus/
- enterococc*.tw.
- or/17-46
- 16 or 47
- 10 and 48
- ((newborn* or new born* or neonat* or neo-nat* or perinat* or peri-nat*) adj4 infect*).tw.
- ((premature or pre-mature* or preterm or pre-term) adj4 (child* or infant* or baby* or babies* or offspring) adj4 infect*).tw.
- 50 or 51
- 49 or 52
- (bacter?emia* or bacill?emia*).tw.
- (blood* adj4 (infect* or contamin* or invas* or invad*)).tw.
- 54 or 55
- 10 and 56
- 53 or 57
- *risk assessment/
- ((risk* or predict* or probab* or prognos* or quantitativ*) adj2 (model* or tool* or algorithm* or rul*)).tw.
- (diagnos* adj2 (model* or algorithm*)).tw.
- ((sepsis* or septic* or Bayes* or EOS or LOS) adj4 calculator*).tw.
- (NEOSC or EOSCAL* or SRC).tw.
- (Kaiser adj2 Permanente).tw.
- (Kaiser adj10 calculator*).tw.
- ((sepsis or septic*) adj4 risk* adj4 scor*).tw.
- SRS.tw.
- ((sepsis* or septic*) adj4 (metascore* or meta-score*)).tw.
- computer assisted diagnosis/
- algorithm/
- ((computer* or vital signs* or math* or manag* or clinic* or medic* or stratif* or prevent* or therap*) adj4 algorithm*).tw.
- RALIS.tw.
- (computer* adj4 (analys* or template*)).tw.
- exp decision support system/
- (decision* adj4 (aid* or analys* or support* or assist*)).tw.
- CDSS*.tw.
- or/59-76
- 58 and 77
- nonhuman/ not human/
- 78 not 79
- limit 80 to english language
- limit 81 to (conference abstract or conference paper or “conference review”)
- 81 not 82
Cochrane Database of Systematic Reviews, CENTRAL
- #1.
MeSH descriptor: [Infant, Newborn] explode all trees
- #2.
MeSH descriptor: [Term Birth] this term only
- #3.
MeSH descriptor: [Infant Care] this term only
- #4.
MeSH descriptor: [Perinatal Care] this term only
- #5.
MeSH descriptor: [Intensive Care Units, Neonatal] this term only
- #6.
MeSH descriptor: [Intensive Care, Neonatal] this term only
- #7.
MeSH descriptor: [Infant Health] this term only
- #8.
((newborn* or new born* or new-born or neonat* or neo-nat* or perinat* or peri-nat*)):ti,ab,kw
- #9.
((premature or pre-mature* or preterm or pre-term) near/4 (child* or infant* or baby* or babies* or offspring)):ti,ab,kw
- #10.
{or #1-#9}
- #11.
MeSH descriptor: [Bacterial Infections] explode all trees
- #12.
((bacter* or strep* or staph* or GNB) near/4 (infect* or diseas* or contaminat* or mening* or pneumon* or nosocomial*)):ti,ab,kw
- #13.
MeSH descriptor: [Sepsis] explode all trees
- #14.
((sepsis or septic?emia* or py?emia* or pyho?emia*)):ti,ab,kw
- #15.
((septic* near/4 shock*)):ti,ab,kw
- #16.
{or #11-#15}
- #17.
MeSH descriptor: [Streptococcus] explode all trees
- #18.
MeSH descriptor: [Staphylococcus] explode all trees
- #19.
((streptococc* or staphylococc*)):ti,ab,kw
- #20.
((GBS or MRSA or NRCS-A or MSSA)):ti,ab,kw
- #21.
((met?icillin-resistant near/3 aureus)):ti,ab,kw
- #22.
MeSH descriptor: [Escherichia coli] explode all trees
- #23.
((Escheric* or E) near/2 (coli)):ti,ab,kw
- #24.
MeSH descriptor: [Listeria] explode all trees
- #25.
(Listeria*):ti,ab,kw
- #26.
MeSH descriptor: [Klebsiella] explode all trees
- #27.
(klebsiella*):ti,ab,kw
- #28.
MeSH descriptor: [Pseudomonas] explode all trees
- #29.
((pseudomonas or chryseomonas or flavimonas)):ti,ab,kw
- #30.
MeSH descriptor: [Enterobacteriaceae] this term only
- #31.
((enterobact* or sodalis or paracolobactrum or ewingella or leclercia)):ti,ab,kw
- #32.
((enteric or coliform) near/2 (bac*)):ti,ab,kw
- #33.
MeSH descriptor: [Neisseria] explode all trees
- #34.
(neisseria*):ti,ab,kw
- #35.
MeSH descriptor: [Haemophilus influenzae] explode all trees
- #36.
((h?emophil* or H or bacter* or bacill* or mycobacter* or coccobac*) near/2 (influenz* or pfeiffer* or meningitidis)):ti,ab,kw
- #37.
MeSH descriptor: [Serratia] explode all trees
- #38.
(serratia*):ti,ab,kw
- #39.
MeSH descriptor: [Cronobacter] explode all trees
- #40.
((cronobact* or sakazaki* or malonatic*)):ti,ab,kw
- #41.
MeSH descriptor: [Acinetobacter] explode all trees
- #42.
((acinetobact* or herellea* or mima or baumanni* or genomosp* or calcoacetic*)):ti,ab,kw
- #43.
MeSH descriptor: [Fusobacterium] explode all trees
- #44.
((fusobact* or sphaerophor* or necrophorum or nucleatum)):ti,ab,kw
- #45.
MeSH descriptor: [Enterococcus] explode all trees
- #46.
(enterococc*):ti,ab,kw
- #47.
{or #17-#46}
- #48.
#16 or #47
- #49.
#10 and #48
- #50.
((newborn* or new born* or new-born* or neonat* or neo-nat* or perinat* or peri-nat*) near/4 (infect*)):ti,ab,kw
- #51.
((premature or pre-mature* or preterm or pre-term) near/4 (child* or infant* or baby* or babies* or offspring) near/4 (infect*)):ti,ab,kw
- #52.
#50 or #51
- #53.
#49 or #52
- #54.
((bacter?emia* or bacill?emia*)):ti,ab,kw
- #55.
((blood*) near/4 (infect* or contamin* or invas* or invad*)):ti,ab,kw
- #56.
#54 or #55
- #57.
#10 and #56
- #58.
#53 or #57
- #59.
MeSH descriptor: [Risk Assessment] this term only and with qualifier(s): [methods - MT]
- #60.
((risk* or predict* or probab* or prognos* or quantitativ*) near/2 (model* or tool* or algorithm* or rul*)):ti,ab,kw
- #61.
((diagnos*) near/2 (model* or algorithm*)):ti,ab,kw
- #62.
((sepsis* or septic* or Bayes* or EOS or LOS) near/4 (calculator*)):ti,ab,kw
- #63.
((NEOSC or EOSCAL* or SRC)):ti,ab,kw
- #64.
((Kaiser) near/2 (Permanente)):ti,ab,kw
- #65.
((Kaiser) near/10 (calculator*)):ti,ab,kw
- #66.
((sepsis or septic*) near/4 (risk*) near/4 (scor*)):ti,ab,kw
- #67.
(SRS):ti,ab,kw
- #68.
((sepsis* or septic*) near/4 (metascore* or meta-score*)):ti,ab,kw
- #69.
MeSH descriptor: [Diagnosis, Computer-Assisted] this term only
- #70.
MeSH descriptor: [Algorithms] this term only
- #71.
((computer* or vital signs* or math* or manag* or clinic* or medic* or stratif* or prevent* or therap*) near/4 (algorithm*)):ti,ab,kw
- #72.
(RALIS):ti,ab,kw
- #73.
((computer*) near/4 (analys* or template*)):ti,ab,kw
- #74.
MeSH descriptor: [Decision Support Techniques] this term only
- #75.
((decision*) near/4 (aid* or analys* or support* or assist*)):ti,ab,kw
- #76.
(CDSS*):ti,ab,kw
- #77.
{or #59-#76}
- #78.
#58 and #77
- #79.
(conference):pt
- #80.
((clinicaltrials or trialsearch)):so
- #81.
#79 or #80
- #82.
#78 not #81
DARE
- MeSH DESCRIPTOR Infant, Newborn EXPLODE ALL TREES
- MeSH DESCRIPTOR Term Birth
- MeSH DESCRIPTOR Infant Care
- MeSH DESCRIPTOR Perinatal Care
- MeSH DESCRIPTOR Intensive Care Units, Neonatal
- MeSH DESCRIPTOR Intensive Care, Neonatal
- MeSH DESCRIPTOR Infant Health
- (((newborn* or new born* or neonat* or neo-nat* or perinat* or peri-nat*)))
- (((premature or pre-mature* or preterm or pre-term) NEAR4 (child* or infant* or baby* or babies* or offspring)))
- #1 OR #2 OR #3 OR #4 OR #5 OR #6 OR #7 OR #8 OR #9
- MeSH DESCRIPTOR Bacterial Infections EXPLODE ALL TREE
- (((bacter* or strep* or staph* or GNB) NEAR4 (infect* or diseas* or contaminat* or mening* or pneumon* or nosocomial*)))
- MeSH DESCRIPTOR Sepsis EXPLODE ALL TREES
- (((sepsis or septic?emia* or py?emia* or pyho?emia*)))
- (((septic* NEAR4 shock*)))
- #11 OR #12 OR #13 OR #14 OR #15
- MeSH DESCRIPTOR Streptococcus EXPLODE ALL TREES
- MeSH DESCRIPTOR Staphylococcus EXPLODE ALL TREES
- (((streptococc* or staphylococc*)))
- (((GBS or MRSA or NRCS-A or MSSA)))
- (((met?icillin-resistant NEAR3 aureus)))
- MeSH DESCRIPTOR Escherichia coli EXPLODE ALL TREES
- (((Escheric* or E) NEAR2 (coli)))
- MeSH DESCRIPTOR Listeria EXPLODE ALL TREES
- ((listeria*))
- MeSH DESCRIPTOR Klebsiella EXPLODE ALL TREES
- ((klebsiella*))
- MeSH DESCRIPTOR Pseudomonas EXPLODE ALL TREES
- ((pseudomonas or chryseomonas or flavimonas))
- MeSH DESCRIPTOR Enterobacteriaceae EXPLODE ALL TREES
- (enterobact* or sodalis or paracolobactrum or ewingella or leclercia)
- ((enteric or coliform) NEAR2 (bac*))
- MeSH DESCRIPTOR Neisseria EXPLODE ALL TREES
- (neisseria*)
- MeSH DESCRIPTOR Haemophilus influenzae EXPLODE ALL TREES
- ((h?emophil* or H or bacter* or bacill* or mycobacter* or coccobac*) NEAR2 (influenz* or pfeiffer* or meningitidis))
- MeSH DESCRIPTOR Serratia EXPLODE ALL TREES
- (serratia*)
- MeSH DESCRIPTOR Cronobacter EXPLODE ALL TREES
- (cronobact* or sakazaki* or malonatic*)
- MeSH DESCRIPTOR Acinetobacter EXPLODE ALL TREES
- ((acinetobact* or herellea* or mima or baumanni* or genomosp* or calcoacetic*))
- MeSH DESCRIPTOR Fusobacterium EXPLODE ALL TREES
- ((fusobact* or sphaerophor* or necrophorum or nucleatum))
- MeSH DESCRIPTOR Enterococcus EXPLODE ALL TREES
- (enterococc*)
- #17 OR #18 OR #19 OR #20 OR #21 OR #22 OR #23 OR #24 OR #25 OR #26 OR #27 OR #28 OR #29 OR #30 OR #31 OR #32 OR #33 OR #34 OR #35 OR #36 OR #37 OR #38 OR #39 OR #40 OR #41 OR #42 OR #43 OR #44 OR #45 OR #46
- #16 OR #47
- #10 AND #48
- ((newborn* or new born* or neonat* or neo-nat* or perinat* or peri-nat*) NEAR4 (infect*))
- ((premature or pre-mature* or preterm or pre-term) NEAR4 (child* or infant* or baby* or babies* or offspring) NEAR4 (infect*))
- #50 OR #51
- #49 OR #52
- ((bacter?emia* or bacill?emia*))
- ((blood*) NEAR4 (infect* or contamin* or invas* or invad*))
- #54 OR #55
- #10 AND #56
- #53 OR #57
- MeSH DESCRIPTOR Risk Assessment WITH QUALIFIER MT
- ((risk* or predict* or probab* or prognos* or quantitativ*) NEAR2 (model* or tool* or algorithm* or rul*))
- ((diagnos*) NEAR2 (model* or algorithm*))
- ((sepsis* or septic* or Bayes* or EOS or LOS) NEAR4 (calculator*))
- (NEOSC or EOSCAL* or SRC)
- ((Kaiser) NEAR2 (Permanente))
- ((Kaiser) NEAR10 (calculator*))
- ((sepsis or septic*) NEAR4 (risk*) NEAR4 (scor*))
- (SRS)
- ((sepsis* or septic*) NEAR4 (metascore* or meta-score*))
- MeSH DESCRIPTOR Diagnosis, Computer-Assisted
- MeSH DESCRIPTOR Algorithms
- ((computer* or vital signs* or math* or manag* or clinic* or medic* or stratif* or prevent* or therap*) NEAR4 (algorithm*))
- (RALIS)
- ((computer*) NEAR4 (analys* or template*))
- MeSH DESCRIPTOR Decision Support Techniques
- ((decision*) NEAR4 (aid* or analys* or support* or assist*))
- (CDSS)
- #59 OR #60 OR #61 OR #62 OR #63 OR #64 OR #65 OR #66 OR #67 OR #68 OR #69 OR #70 OR #71 OR #72 OR #73 OR #74 OR #75 OR #76
- #58 AND #77
- * IN DARE
- #78 AND #79
B.2. Clinical search: Maternal and neonatal risk factors
The search was conducted on 23rd September 2019. A single search strategy was developed for questions 5.1 and 5.2. The following databases were searched: Medline, Medline In Process, Medline E-pub Ahead of print, Embase, (all via the Ovid platform), Cochrane Database of Systematic Reviews, (via the Wiley platform), and the DARE database (via the CRD platform).
Population and risk factor terms
The search terms used to identify information on population and risk factors are reproduced below for all databases. The population and risk factor terms were combined as ‘And’ to identify papers that discussed both.
Medline, Medline in Process & Medline E-pub Ahead of Print
- exp Infant, Newborn/
- Term Birth/
- Infant Care/
- Perinatal Care/
- Intensive Care Units, Neonatal/
- Intensive Care, Neonatal/
- Infant Health/
- (newborn* or new born* or neonat* or neo-nat* or perinat* or peri-nat*).tw.
- ((premature* or pre-mature* or preterm* or pre-term*) adj4 (child* or infant* or baby* or babies* or offspring)).tw.
- or/1-9
- exp Bacterial Infections/
- ((bacter* or strep* or staph* or GNB) adj4 (infect* or diseas* or contaminat* or mening* or pneumon* or nosocomial*)).tw.
- exp Sepsis/
- (sepsis or septic?emia* or py?emia* or pyho?emia*).tw.
- (septic* adj4 shock*).tw.
- (bacter?emia* or bacill?emia*).tw.
- (blood* adj4 (infect* or contamin* or invas* or invad*)).tw.
- or/11-17
- exp Streptococcus/
- exp Staphylococcus/
- (streptococc* or staphylococc*).tw.
- (GBS or MRSA or NRCS-A or MSSA).tw.
- (met?icillin-resistant adj3 aureus).tw.
- exp Escherichia coli/
- ((Escheric* or E) adj2 coli).tw.
- exp Listeria/
- listeria*.tw.
- exp Klebsiella/
- klebsiella*.tw.
- exp Pseudomonas/
- (pseudomonas or chryseomonas or flavimonas).tw.
- Enterobacteriaceae/
- (enterobact* or sodalis or paracolobactrum or ewingella or leclercia).tw.
- ((enteric or coliform) adj2 bac*).tw.
- exp Neisseria/
- neisseria*.tw.
- exp Haemophilus influenzae/
- ((h?emophil* or H or bacter* or bacill* or mycobacter* or coccobac*) adj2 (influenz* or pfeiffer* or meningitidis)).tw.
- exp Serratia/
- serratia*.tw.
- exp Cronobacter/
- (cronobact* or sakazaki* or malonatic*).tw.
- exp Acinetobacter/
- (acinetobact* or herellea* or mima or baumanni* or genomosp* or calcoacetic*).tw.
- exp Fusobacterium/
- (fusobact* or sphaerophor* or necrophorum or nucleatum).tw.
- exp Enterococcus/
- enterococc*.tw.
- or/19-48
- 18 or 49
- 10 and 50
- ((newborn* or new born* or neonat* or neo-nat* or perinat* or peri-nat*) adj4 infect*).tw.
- ((premature or pre-mature* or preterm or pre-term) adj4 (child* or infant* or baby* or babies* or offspring) adj4 infect*).tw.
- 52 or 53
- 51 or 54
- ((previous or preceding or earlier or prior or antecedent) adj4 (child* or infant* or baby* or babies* or offspring or delivery or deliveries)).tw.
- ((later or next or succeeding) adj4 (child* or infant* or baby* or babies* or offspring or delivery or deliveries)).tw.
- (Infectious Disease Transmission, Vertical/ or Carrier State/) and (Streptococcal Infections/ or Methicillin-Resistant Staphylococcus aureus/)
- ((vertical* or maternal* or mother* or mum* or mom* or parental* or fetomaternal* or feto-maternal* or woman* or women* or pregnan* or gestat* or parturition* or birth* or childbirth* or labo?r*) adj4 (GBS* or group B* or MRSA* or met?icillin-resist*) adj4 (transmission* or transmit* or transfer* or infect* or diseas* or contaminat* or coloni?ation* or contagio* or bacteriuria* or carrier* or carriage or heterozygo*)).tw.
- exp Pregnancy, Multiple/
- ((multiple or twin or triplet or quadruplet or quintuplet or superfetation) adj4 (pregnan* or gestat* or parturition* or birth* or childbirth* or labo?r* or delivery or deliveries)).tw.
- Wound Infection/
- (wound* adj4 (infect* or diseas* or contaminat* or coloni?ation* or contagio* or sepsis)).tw.
- Postpartum Period/
- (postpartum or post-partum or puerperium or puerperal).tw.
- ((perineal or perineum) adj4 (infect* or diseas* or contaminat* or coloni?ation* or contagio*)).tw.
- exp Obesity/
- ((obesity or obese or overweight or over-weight) adj8 risk*).tw.
- exp Hygiene/
- exp Sanitation/
- (hygien* or saniti?e* or sanitation* or sanitary*).tw.
- exp Maternal Behavior/
- ((behavio?r* or attitud*) adj4 (factor* or aspect* or consider* or circumstanc* or component* or influenc* or feature*)).tw.
- Illness Behavior/
- ((alter* or chang* or illness*) adj4 (behavio?r* or respons* or feedback*) adj8 risk*).tw.
- Muscle Hypotonia/
- (flop* or flaccid* or hypoton* or hypomyotoni*).tw.
- ((alter* or chang* or poor* or decreas* or atonic* or feeble or insuffic* or meag* or weak* or unsatisfact* or imperfect* or impair* or declin* or reduc* or diminish*) adj4 musc*).tw.
- Feeding Behavior/
- ((feed* or bottle* or breast*) adj4 (behavio?r* or difficult* or refus* or intoleran* or declin* or ignor* or withdraw* or problem*)).tw.
- exp Vomiting/
- (vomit* or emesis*).tw.
- ((gastric* or nasogastric* or naso-gastric*) adj4 (aspirat* or suction*)).tw.
- (abdom?n* adj4 disten*).tw.
- Arrhythmias, Cardiac/ or Atrial Fibrillation/ or Atrial Flutter/ or Cardiac Complexes, Premature/ or Parasystole/ or Ventricular Fibrillation/ or Ventricular Flutter/
- (arr?ythmia* or dysrhythmia*).tw.
- ((abnormal* or anomal* or atypical* or irregular* or uncommon* or unexpect*) adj4 (heart* or cardiac* or vascular*) adj2 (rate* or pace* or measure* or rhythm* or beat*)).tw.
- Bradycardia/ or Tachycardia/
- (bradycardia* or bradyarrhythmia* or tachycardia* or tachyarrhythmia*).tw.
- Respiratory Distress Syndrome, Newborn/
- ((respirat* or breath*) adj4 (distres* or troubl* or discomfort*)).tw.
- exp Hypoxia/
- (hypoxia* or hypoxic* or hypoxem* or anoxia* or anoxem*).tw.
- (oxygen* adj4 (deficien* or reduc* or suturat* or concentrat* or measur*)).tw.
- exp Cyanosis/
- exp Oximetry/
- (cyanos?s* or cyanotic* or oximet*).tw.
- exp Jaundice, Neonatal/
- (jaundice* or icterus*).tw.
- exp Apnea/
- apn?ea*.tw.
- Seizures/
- ((seizure* or convuls* or paroxysm*) adj8 risk*).tw.
- exp Cardiopulmonary Resuscitation/
- (((cardiopulmon* or cardio-pulmon* or mouth-to-mouth*) adj4 resuscitat*) or CPR).tw.
- exp Respiration, Artificial/
- ((artificial* or mechanic* or automat* or machine* or control*) adj4 (respirat* or ventilat* or breath* or oxygenat*)).tw.
- exp Body Temperature/
- ((body* or organ* or skin* or high* or low* or excess* or reduc*) adj4 temperat*).tw.
- ((“36*” or “38*”) adj2 (C or celsius)).tw.
- ((“96*” or “100*”) adj2 (F or fahrenheit)).tw.
- exp Shock/
- (shock not (septic or sepsis)).tw.
- (circulat* adj4 (collaps* or fail*)).tw.
- ((pale* or cold* or clammy or chill* or blanch*) adj4 skin*).tw.
- Sweat/ or Sweating/
- (sweat* or perspir*).tw.
- ((rapid* or shallow* or accelarat* or hollow* or flat*) adj4 (breath* or respirat*)).tw.
- (weakness* or fragilit*).tw.
- Dizziness/
- (dizz* or orthostas* or lighthead* or light-head*).tw.
- Thirst/
- thirst*.tw.
- Yawning/
- (yawn* or sigh or sighs).tw.
- exp Hemorrhage/
- (bleed* or h?emorrhag*).tw.
- (blood* adj4 (loss or effus* or excess*)).tw.
- exp Thrombocytopenia/
- (thrombocytop?enia* or thrombop?enia*).tw.
- Blood Coagulation/
- ((coagulat* or clot or clott*) adj8 risk*).tw.
- Oliguria/
- oliguria*.tw.
- ((decreas* or diminish* or dwindl* or reduc* or wane) adj4 urin*).tw.
- Homeostasis/
- (homeostas* or homeostat* or autoregulat* or auto-regulat*).tw.
- exp Hypoglycemia/
- exp Hyperglycemia/
- (hypoglyc?emi* or hyperglyc?emi*).tw.
- ((low* or high*) adj4 blood* adj4 (sugar* or glucose*)).tw.
- exp Acidosis/
- acidos?s*.tw.
- ((local* or region* or limit*) adj4 (infect* or contamin* or invas*)).tw.
- ((previous* or preced* or earlier or prior* or anteceden* or histor* or past*) adj4 (surg* or operat*)).tw.
- exp Catheters/ or Catheterization/ or Catheterization, Central Venous/ or exp Catheterization, Peripheral/
- ((catheter* or cannula*) adj4 (present* or presence* or exist* or attend* or current*)).tw.
- ((indwell* or in-dwell*) adj4 (devic* or apparat* or applianc* or equip* or gadget* or machine* or mechanism*)).tw.
- (prematur* adj8 risk*).tw.
- ((newborn* or new born* or neonat* or neo-nat* or perinat* or peri-nat*) adj4 (admiss* or admit*)).tw.
- ((previous* or preced* or earlier or prior* or anteceden* or histor* or past*) adj4 (GBS* or group B*) adj4 (infect* or contamin* or invas*)).tw.
- ((newborn* or new born* or neonat* or neo-nat* or perinat* or peri-nat* or infant* or baby* or babies*) adj4 (GBS* or group B* or MRSA* or met?icillin-resist*) adj4 (contaminat* or coloni?ation* or contagio*)).tw.
- or/56-152
- 55 and 153
- Animals/ not Humans/
- 154 not 155
- limit 156 to english language
Embase
- newborn/
- term birth/
- infant care/
- perinatal care/
- neonatal intensive care unit/
- newborn intensive care/
- child health/
- (newborn* or new born* or neonat* or neo-nat* or perinat* or peri-nat*).tw.
- ((premature* or pre-mature* or preterm* or pre-term*) adj4 (child* or infant* or baby* or babies* or offspring)).tw.
- or/1-9
- exp bacterial infection/
- ((bacter* or strep* or staph* or GNB) adj4 (infect* or diseas* or contaminat* or mening* or pneumon* or nosocomial*)).tw.
- exp sepsis/
- (sepsis or septic?emia* or py?emia* or pyho?emia*).tw.
- (septic* adj4 shock*).tw.
- (bacter?emia* or bacill?emia*).tw.
- (blood* adj4 (infect* or contamin* or invas* or invad*)).tw.
- or/11-17
- exp Streptococcus/
- exp Staphylococcus/
- (streptococc* or staphylococc*).tw.
- (GBS or MRSA or NRCS-A or MSSA).tw.
- (met?icillin-resistant adj3 aureus).tw.
- exp Escherichia coli/
- ((Escheric* or E) adj2 coli).tw.
- exp Listeria/
- listeria*.tw.
- exp Klebsiella/
- klebsiella*.tw.
- exp Pseudomonas/
- (pseudomonas or chryseomonas or flavimonas).tw.
- Enterobacteriaceae/
- (enterobact* or sodalis or paracolobactrum or ewingella or leclercia).tw.
- ((enteric or coliform) adj2 bac*).tw.
- exp Neisseria/
- neisseria*.tw.
- exp Haemophilus influenzae/
- ((h?emophil* or H or bacter* or bacill* or mycobacter* or coccobac*) adj2 (influenz* or pfeiffer* or meningitidis)).tw.
- exp Serratia/
- serratia*.tw.
- exp cronobacter/
- (cronobact* or sakazaki* or malonatic*).tw.
- exp Acinetobacter/
- (acinetobact* or herellea* or mima or baumanni* or genomosp* or calcoacetic*).tw
- exp Fusobacterium/
- (fusobact* or sphaerophor* or necrophorum or nucleatum).tw.
- exp Enterococcus/
- enterococc*.tw.
- or/19-48
- 18 or 49
- 10 and 50
- ((newborn* or new born* or neonat* or neo-nat* or perinat* or peri-nat*) adj4 infect*).tw.
- ((premature or pre-mature* or preterm or pre-term) adj4 (child* or infant* or baby* or babies* or offspring) adj4 infect*).tw.
- 52 or 53
- 51 or 54
- ((previous or preceding or earlier or prior or antecedent) adj4 (child* or infant* or baby* or babies* or offspring or delivery or deliveries)).tw.
- ((later or next or succeeding) adj4 (child* or infant* or baby* or babies* or offspring or delivery or deliveries)).tw.
- (vertical transmission/ or heterozygote/) and (exp group B streptococcal infection/ or methicillin resistant Staphylococcus aureus/)
- ((vertical* or maternal* or mother* or mum* or mom* or parental* or fetomaternal* or feto-maternal* or woman* or women* or pregnan* or gestat* or parturition* or birth* or childbirth* or labo?r*) adj4 (GBS* or group B* or MRSA* or met?icillin-resist*) adj4 (transmission* or transmit* or transfer* or infect* or diseas* or contaminat* or coloni?ation* or contagio* or bacteriuria* or carrier* or carriage or heterozygo*)).tw.
- exp multiple pregnancy/
- ((multiple or twin or triplet or quadruplet or quintuplet or superfetation) adj4 (pregnan* or gestat* or parturition* or birth* or childbirth* or labo?r* or delivery or deliveries)).tw.
- wound infection/
- (wound* adj4 (infect* or diseas* or contaminat* or coloni?ation* or contagio* or sepsis)).tw.
- puerperium/
- (postpartum or post-partum or puerperium or puerperal).tw.
- ((perineal or perineum) adj4 (infect* or diseas* or contaminat* or coloni?ation* or contagio*)).tw.
- exp obesity/
- ((obesity or obese or overweight or over-weight) adj8 risk*).tw.
- exp hygiene/
- exp sanitation/
- (hygien* or saniti?e* or sanitation* or sanitary*).tw.
- maternal behavior/
- ((behavio?r* or attitud*) adj4 (factor* or aspect* or consider* or circumstanc* or component* or influenc* or feature*)).tw.
- illness behavior/
- ((alter* or chang* or illness*) adj4 (behavio?r* or respons* or feedback*) adj8 risk*).tw.
- exp muscle hypotonia/
- (flop* or flaccid* or hypoton* or hypomyotoni*).tw.
- ((alter* or chang* or poor* or decreas* or atonic* or feeble or insuffic* or meag* or weak* or unsatisfact* or imperfect* or impair* or declin* or reduc* or diminish*) adj4 musc*).tw.
- feeding behavior/
- ((feed* or bottle* or breast*) adj4 (behavio?r* or difficult* or refus* or intoleran* or declin* or ignor* or withdraw* or problem*)).tw.
- exp vomiting/
- (vomit* or emesis*).tw.
- gastric suction/
- ((gastric* or nasogastric* or naso-gastric*) adj4 (aspirat* or suction*)).tw.
- abdominal distension/
- (abdom?n* adj4 disten*).tw.
- heart arrhythmia/ or heart atrium arrhythmia/ or heart fibrillation/ or heart palpitation/ or heart proarrhythmia/ or heart ventricle arrhythmia/ or parasystole/
- (arr?ythmia* or dysrhythmia*).tw.
- ((abnormal* or anomal* or atypical* or irregular* or uncommon* or unexpect*) adj4 (heart* or cardiac* or vascular*) adj2 (rate* or pace* or measure* or rhythm* or beat*)).tw.
- exp bradycardia/ or exp tachycardia/
- (bradycardia* or bradyarrhythmia* or tachycardia* or tachyarrhythmia*).tw.
- neonatal respiratory distress syndrome/
- ((respirat* or breath*) adj4 (distres* or troubl* or discomfort*)).tw.
- exp hypoxia/
- (hypoxia* or hypoxic* or hypoxem* or anoxia* or anoxem*).tw.
- (oxygen* adj4 (deficien* or suturat* or concentrat* or measur* or reduc*)).tw.
- exp cyanosis/
- exp oximetry/
- (cyanos?s* or cyanotic* or oximet*).tw.
- newborn jaundice/
- (jaundice* or icterus*).tw.
- exp apnea/
- apn?ea*.tw.
- exp seizure/
- ((seizure* or convuls* or paroxysm*) adj8 risk*).tw.
- resuscitation/
- (((cardiopulmon* or cardio-pulmon* or mouth-to-mouth*) adj4 resuscitat*) or CPR).tw.
- exp artificial ventilation/
- ((artificial* or mechanic* or automat* or machine* or control*) adj4 (respirat* or ventilat* or breath* or oxygenat*)).tw.
- exp body temperature/
- skin temperature/
- ((body* or organ* or skin* or high* or low* or excess* or reduc*) adj4 temperat*).tw.
- ((“36*” or “38*”) adj2 (C or celsius)).tw.
- ((“96*” or “100*”) adj2 (F or fahrenheit)).tw.
- exp shock/
- (shock not (septic or sepsis)).tw.
- (circulat* adj4 (collaps* or fail*)).tw.
- ((pale* or cold* or clammy or chill* or blanch*) adj4 skin*).tw.
- Sweat/ or exp Sweating/
- (sweat* or perspir*).tw.
- ((rapid* or shallow* or accelarat* or hollow* or flat*) adj4 (breath* or respirat*)).tw.
- (weakness* or fragilit*).tw.
- dizziness/
- (dizz* or orthostas* or lighthead* or light-head*).tw.
- thirst/
- thirst*.tw.
- yawning/
- (yawn* or sigh or sighs).tw.
- exp bleeding/
- (bleed* or h?emorrhag*).tw.
- (blood* adj4 (loss or effus* or excess*)).tw.
- exp thrombocytopenia/
- (thrombocytop?enia* or thrombop?enia*).tw.
- exp blood clotting/
- ((coagulat* or clot or clott*) adj8 risk*).tw.
- oliguria/
- oliguria*.tw.
- ((decreas* or diminish* or dwindl* or reduc* or wane) adj4 urin*).tw.
- homeostasis/
- (homeostas* or homeostat* or autoregulat* or auto-regulat*).tw.
- exp hypoglycemia/
- exp hyperglycemia/
- (hypoglyc?emi* or hyperglyc?emi*).tw.
- ((low* or high*) adj4 blood* adj4 (sugar* or glucose*)).tw.
- exp acidosis/
- acidos?s*.tw.
- ((local* or region* or limit*) adj4 (infect* or contamin* or invas*)).tw.
- ((previous* or preced* or earlier or prior* or anteceden* or histor* or past*) adj4 (surg* or operat*)).tw.
- catheter/ or exp indwelling catheter/ or catheterization/ or central venous catheterization/
- ((catheter* or cannula*) adj4 (present* or presence* or exist* or attend* or current*)).tw.
- ((indwell* or in-dwell*) adj4 (devic* or apparat* or applianc* or equip* or gadget* or machine* or mechanism*)).tw.
- (prematur* adj8 risk*).tw.
- ((newborn* or new born* or neonat* or neo-nat* or perinat* or peri-nat*) adj4 (admiss* or admit*)).tw.
- ((previous* or preced* or earlier or prior* or anteceden* or histor* or past*) adj4 (GBS* or group B*) adj4 (infect* or contamin* or invas*)).tw.
- ((newborn* or new born* or neonat* or neo-nat* or perinat* or peri-nat* or infant* or baby* or babies*) adj4 (GBS* or group B* or MRSA* or met?icillin-resist*) adj4 (contaminat* or coloni?ation* or contagio*)).tw.
- or/56-155
- 55 and 156
- nonhuman/ not human/
- 157 not 158
- limit 159 to english language
CDSR
- #1.
MeSH descriptor: [Infant, Newborn] explode all trees
- #2.
MeSH descriptor: [Term Birth] this term only
- #3.
MeSH descriptor: [Infant Care] this term only
- #4.
MeSH descriptor: [Perinatal Care] this term only
- #5.
MeSH descriptor: [Intensive Care Units, Neonatal] this term only
- #6.
MeSH descriptor: [Intensive Care, Neonatal] this term only
- #7.
MeSH descriptor: [Infant Health] this term only
- #8.
((newborn* or new born* or neonat* or neo-nat* or perinat* or peri-nat*)):ti,ab,kw
- #9.
((premature* or pre-mature* or preterm* or pre-term*) near/4 (child* or infant* or baby* or babies* or offspring)):ti,ab,kw
- #10.
{or #1-#9}
- #11.
MeSH descriptor: [Bacterial Infections] explode all trees
- #12.
((bacter* or strep* or staph* or GNB) near/4 (infect* or diseas* or contaminat* or mening* or pneumon* or nosocomial*)):ti,ab,kw
- #13.
MeSH descriptor: [Sepsis] explode all trees
- #14.
(sepsis or septic?emia* or py?emia* or pyho?emia*):ti,ab,kw
- #15.
(septic* near/4 shock*):ti,ab,kw
- #16.
(bacter?emia* or bacill?emia*):ti,ab,kw
- #17.
((blood*) near/4 (infect* or contamin* or invas* or invad*)):ti,ab,kw
- #18.
{or #11-#17}
- #19.
MeSH descriptor: [Streptococcus] explode all trees
- #20.
MeSH descriptor: [Staphylococcus] explode all trees
- #21.
(streptococc* or staphylococc*):ti,ab,kw
- #22.
(GBS or MRSA or NRCS-A or MSSA):ti,ab,kw
- #23.
(met?icillin-resistant near/3 aureus):ti,ab,kw
- #24.
MeSH descriptor: [Escherichia coli] explode all trees
- #25.
((Escheric* or E) near/2 (coli)):ti,ab,kw
- #26.
MeSH descriptor: [Listeria] explode all trees
- #27.
(listeria*):ti,ab,kw
- #28.
MeSH descriptor: [Klebsiella] explode all trees
- #29.
(klebsiella*):ti,ab,kw
- #30.
MeSH descriptor: [Pseudomonas] explode all trees
- #31.
(pseudomonas or chryseomonas or flavimonas):ti,ab,kw
- #32.
MeSH descriptor: [Enterobacteriaceae] explode all trees
- #33.
(enterobact* or sodalis or paracolobactrum or ewingella or leclercia):ti,ab,kw
- #34.
((enteric or coliform) near/2 (bac*)):ti,ab,kw
- #35.
MeSH descriptor: [Neisseria] explode all trees
- #36.
(neisseria*):ti,ab,kw
- #37.
MeSH descriptor: [Haemophilus influenzae] explode all trees
- #38.
((h?emophil* or H or bacter* or bacill* or mycobacter* or coccobac*) near/2 (influenz* or pfeiffer* or meningitidis)):ti,ab,kw
- #39.
MeSH descriptor: [Serratia] explode all trees
- #40.
(serratia*):ti,ab,kw
- #41.
MeSH descriptor: [Cronobacter] explode all trees
- #42.
(cronobact* or sakazaki* or malonatic*):ti,ab,kw
- #43.
MeSH descriptor: [Acinetobacter] explode all trees
- #44.
(acinetobact* or herellea* or mima or baumanni* or genomosp* or calcoacetic*):ti,ab,kw
- #45.
MeSH descriptor: [Fusobacterium] explode all trees
- #46.
(fusobact* or sphaerophor* or necrophorum or nucleatum):ti,ab,kw
- #47.
MeSH descriptor: [Enterococcus] explode all trees
- #48.
(enterococc*):ti,ab,kw
- #49.
{or #19-#48}
- #50.
#18 or #49
- #51.
#10 and #50
- #52.
((newborn* or new born* or neonat* or neo-nat* or perinat* or peri-nat*) near/4 (infect*)):ti,ab,kw
- #53.
((premature or pre-mature* or “preterm” or “pre-term”) near/4 (child* or infant* or baby* or babies* or offspring) near/4 (infect*)):ti,ab,kw
- #54.
#52 or #53
- #55.
#51 or #54
- #56.
((previous or preceding or earlier or prior or antecedent) near/4 (child* or infant* or baby* or babies* or offspring or delivery or deliveries)):ti,ab,kw
- #57.
((later or “next” or succeeding) near/4 (child* or infant* or baby* or babies* or offspring or delivery or deliveries)):ti,ab,kw
- #58.
MeSH descriptor: [Infectious Disease Transmission, Vertical] this term only
- #59.
MeSH descriptor: [Carrier State] this term only
- #60.
((vertical* or maternal* or mother* or mum* or mom* or parental* or fetomaternal* or feto-maternal* or woman* or women* or pregnan* or gestat* or parturition* or birth* or childbirth* or labo?r*) near/4 (GBS* or group B* or MRSA* or met?icillin-resist*) near/4 (transmission* or transmit* or transfer* or infect* or diseas* or contaminat* or coloni?ation* or contagio* or bacteriuria* or carrier* or carriage or heterozygo*)):ti,ab,kw
- #61.
MeSH descriptor: [Pregnancy, Multiple] explode all trees
- #62.
((multiple or twin or triplet or quadruplet or quintuplet or superfetation) near/4 (pregnan* or gestat* or parturition* or birth* or childbirth* or labo?r* or delivery or deliveries)):ti,ab,kw
- #63.
MeSH descriptor: [Wound Infection] this term only
- #64.
((wound*) near/4 (infect* or diseas* or contaminat* or coloni?ation* or contagio* or sepsis)):ti,ab,kw
- #65.
MeSH descriptor: [Postpartum Period] this term only
- #66.
(postpartum or post-partum or puerperium or puerperal):ti,ab,kw
- #67.
((perineal or perineum) near/4 (infect* or diseas* or contaminat* or coloni?ation* or contagio*)):ti,ab,kw
- #68.
MeSH descriptor: [Obesity] explode all trees
- #69.
((obesity or obese or overweight or over-weight) near/8 (risk*)):ti,ab,kw
- #70.
MeSH descriptor: [Hygiene] explode all trees
- #71.
MeSH descriptor: [Sanitation] explode all trees
- #72.
(hygien* or saniti?e* or sanitation* or sanitary*):ti,ab,kw
- #73.
MeSH descriptor: [Maternal Behavior] explode all trees
- #74.
((behavio?r* or attitud*) near/4 (factor* or aspect* or consider* or circumstanc* or component* or influenc* or feature*)):ti,ab,kw
- #75.
MeSH descriptor: [Illness Behavior] this term only
- #76.
((alter* or chang* or illness*) near/4 (behavio?r* or respons* or feedback*) near/8 (risk*)):ti,ab,kw
- #77.
MeSH descriptor: [Muscle Hypotonia] this term only
- #78.
(flop* or flaccid* or hypoton* or hypomyotoni*):ti,ab,kw
- #79.
((alter* or chang* or poor* or decreas* or atonic* or feeble or insuffic* or meag* or weak* or unsatisfact* or imperfect* or impair* or declin* or reduc* or diminish*) near/4 (musc*)):ti,ab,kw
- #80.
MeSH descriptor: [Feeding Behavior] this term only
- #81.
((feed* or bottle* or breast*) near/4 (behavio?r* or difficult* or refus* or intoleran* or declin* or ignor* or withdraw* or problem)):ti,ab,kw
- #82.
MeSH descriptor: [Vomiting] explode all trees
- #83.
(vomit* or emesis*):ti,ab,kw
- #84.
((gastric* or nasogastric* or naso-gastric*) near/4 (aspirat* or suction*)):ti,ab,kw
- #85.
((abdom?n* near/4 disten*)):ti,ab,kw
- #86.
MeSH descriptor: [Arrhythmias, Cardiac] explode all trees
- #87.
(arr?ythmia* or dysrhythmia*):ti,ab,kw
- #88.
((abnormal* or anomal* or atypical* or irregular* or uncommon* or unexpect*) near/4 (heart* or cardiac* or vascular*) near/2 (rate* or pace* or measure* or rhythm* or beat*)):ti,ab,kw
- #89.
(bradycardia* or bradyarrhythmia* or tachycardia* or tachyarrhythmia*):ti,ab,kw
- #90.
MeSH descriptor: [Respiratory Distress Syndrome, Newborn] this term only
- #91.
((respirat* or breath*) near/4 (distres* or troubl* or discomfort*)):ti,ab,kw
- #92.
MeSH descriptor: [Hypoxia] explode all trees
- #93.
(hypoxia* or hypoxic* or hypoxem* or anoxia* or anoxem*):ti,ab,kw
- #94.
((oxygen*) near/4 (deficien* or reduc* or suturat* or concentrat* or measur*)):ti,ab,kw
- #95.
MeSH descriptor: [Cyanosis] explode all trees
- #96.
MeSH descriptor: [Oximetry] explode all trees
- #97.
(cyanos?s* or cyanotic* or oximet*):ti,ab,kw
- #98.
MeSH descriptor: [Jaundice, Neonatal] explode all trees
- #99.
(jaundice* or icterus*):ti,ab,kw
- #100.
MeSH descriptor: [Apnea] explode all trees
- #101.
(apn?ea*):ti,ab,kw
- #102.
MeSH descriptor: [Seizures] this term only
- #103.
((seizure* or convuls* or paroxysm*) near/8 (risk*)):ti,ab,kw 647
- #104.
MeSH descriptor: [Cardiopulmonary Resuscitation] explode all trees
- #105.
((cardiopulmon* or cardio-pulmon* or mouth-to-mouth*) near/4 (resuscitat*)):ti,ab,kw
- #106.
(CPR):ti,ab,kw
- #107.
MeSH descriptor: [Respiration, Artificial] explode all trees
- #108.
((artificial* or mechanic* or automat* or machine* or control*) near/4 (respirat* or ventilat* or breath* or oxygenat*)):ti,ab,kw
- #109.
MeSH descriptor: [Body Temperature] explode all trees
- #110.
((body* or organ* or skin* or high* or low* or excess* or reduc*) near/4 (temperat*)):ti,ab,kw
- #111.
((“36*” or “38*”) near/2 (C or celsius)):ti,ab,kw
- #112.
((“96*” or “100*”) near/2 (F or fahrenheit)):ti,ab,kw
- #113.
MeSH descriptor: [Shock] explode all trees
- #114.
((shock) not (septic or sepsis)):ti,ab,kw
- #115.
((circulat*) near/4 (collaps* or fail*)):ti,ab,kw
- #116.
((pale* or cold* or clammy or chill* or blanch*) near/4 (skin*)):ti,ab,kw
- #117.
MeSH descriptor: [Sweat] this term only
- #118.
MeSH descriptor: [Sweating] this term only
- #119.
(sweat* or perspir*):ti,ab,kw
- #120.
((rapid* or shallow* or accelarat* or hollow* or flat*) near/4 (breath* or respirat*)):ti,ab,kw
- #121.
(weakness* or fragilit*):ti,ab,kw
- #122.
MeSH descriptor: [Dizziness] this term only
- #123.
(dizz* or orthostas* or lighthead* or light-head*):ti,ab,kw
- #124.
MeSH descriptor: [Thirst] this term only
- #125.
(thirst*):ti,ab,kw
- #126.
MeSH descriptor: [Yawning] this term only
- #127.
(yawn* or sigh or sighs):ti,ab,kw
- #128.
MeSH descriptor: [Hemorrhage] explode all trees
- #129.
(bleed* or h?emorrhag*):ti,ab,kw
- #130.
((blood*) near/4 (loss or effus* or excess*)):ti,ab,kw
- #131.
MeSH descriptor: [Thrombocytopenia] explode all trees
- #132.
(thrombocytop?enia* or thrombop?enia*):ti,ab,kw
- #133.
MeSH descriptor: [Blood Coagulation] this term only
- #134.
((coagulat* or clot or clott*) near/8 (risk*)):ti,ab,kw
- #135.
MeSH descriptor: [Oliguria] this term only
- #136.
(oliguria*):ti,ab,kw
- #137.
((decreas* or diminish* or dwindl* or reduc* or wane) near/4 (urin*)):ti,ab,kw
- #138.
MeSH descriptor: [Homeostasis] this term only
- #139.
(homeostas* or homeostat* or autoregulat* or auto-regulat*):ti,ab,kw
- #140.
MeSH descriptor: [Hypoglycemia] explode all trees
- #141.
MeSH descriptor: [Hyperglycemia] explode all trees
- #142.
(hypoglyc?emi* or hyperglyc?emi*):ti,ab,kw
- #143.
((low* or high*) near/4 (blood*) near/4 (sugar* or glucose*)):ti,ab,kw
- #144.
MeSH descriptor: [Acidosis] explode all trees
- #145.
(acidos?s*):ti,ab,kw
- #146.
((local* or region* or limit*) near/4 (infect* or contamin* or invas*)):ti,ab,kw
- #147.
((previous* or preced* or earlier or prior* or anteceden* or histor* or past*) near/4 (surg* or operat*)):ti,ab,kw
- #148.
MeSH descriptor: [Catheters] explode all trees
- #149.
MeSH descriptor: [Catheterization] this term only
- #150.
MeSH descriptor: [Catheterization, Central Venous] this term only
- #151.
MeSH descriptor: [Catheterization, Peripheral] explode all trees
- #152.
((catheter* or cannula*) near/4 (present* or presence* or exist* or attend* or current*)):ti,ab,kw
- #153.
((indwell* or in-dwell*) near/4 (devic* or apparat* or applianc* or equip* or gadget* or machine* or mechanism*)):ti,ab,kw
- #154.
(prematur* near/8 risk*):ti,ab,kw
- #155.
((newborn* or new born* or neonat* or neo-nat* or perinat* or peri-nat*) near/4 (admiss* or admit*)):ti,ab,kw
- #156.
((previous* or preced* or earlier or prior* or anteceden* or histor* or past*) near/4 (GBS* or group B*) near/4 (infect* or contamin* or invas*)):ti,ab,kw
- #157.
((newborn* or new born* or neonat* or neo-nat* or perinat* or peri-nat* or infant* or baby* or babies*) near/4 (GBS* or group B* or MRSA* or met?icillin-resist*) near/4 (contaminat* or coloni?ation* or contagio*)):ti,ab,kw
- #158.
{or #56-#157}
- #159.
#55 and #158
DARE
- MeSH DESCRIPTOR Infant, Newborn EXPLODE ALL TREES
- MeSH DESCRIPTOR Term Birth
- MeSH DESCRIPTOR Infant Care
- MeSH DESCRIPTOR Perinatal Care
- MeSH DESCRIPTOR Intensive Care Units, Neonatal
- MeSH DESCRIPTOR Intensive Care, Neonatal
- MeSH DESCRIPTOR Infant Health
- (newborn* or new born* or neonat* or neo-nat* or perinat* or peri-nat*)
- ((premature or pre-mature* or preterm or pre-term) NEAR4 (child* or infant* or baby* or babies* or offspring))
- #1 OR #2 OR #3 OR #4 OR #5 OR #6 OR #7 OR #8 OR #9
- MeSH DESCRIPTOR Bacterial Infections EXPLODE ALL TREES
- ((bacter* or strep* or staph* or GNB) NEAR4 (infect* or diseas* or contaminat* or mening* or pneumon* or nosocomial*))
- MeSH DESCRIPTOR Sepsis EXPLODE ALL TREES
- (sepsis or septic?emia* or py?emia* or pyho?emia*)
- ((septic* NEAR4 shock*))
- (bacter?emia* or bacill?emia)
- ((blood*) NEAR4 (infect* or contamin* or invas* or invad*))
- #11 OR #12 OR #13 OR #14 OR #15 OR #16 OR #17
- MeSH DESCRIPTOR Streptococcus EXPLODE ALL TREES
- MeSH DESCRIPTOR Staphylococcus EXPLODE ALL TREES
- (streptococc* or staphylococc*)
- (GBS or MRSA or NRCS-A or MSSA)
- ((met?icillin-resistant NEAR3 aureus))
- MeSH DESCRIPTOR Escherichia coli EXPLODE ALL TREES
- ((Escheric* or E) NEAR2 (coli))
- MeSH DESCRIPTOR Listeria EXPLODE ALL TREES
- (listeria*)
- MeSH DESCRIPTOR Klebsiella EXPLODE ALL TREES
- (klebsiella*)
- MeSH DESCRIPTOR Pseudomonas EXPLODE ALL TREES
- (pseudomonas or chryseomonas or flavimonas)
- MeSH DESCRIPTOR Enterobacteriaceae EXPLODE ALL TREES
- (enterobact* or sodalis or paracolobactrum or ewingella or leclercia)
- ((enteric or coliform) NEAR2 (bac*))
- MeSH DESCRIPTOR Neisseria EXPLODE ALL TREES
- (neisseria*)
- MeSH DESCRIPTOR Haemophilus influenzae EXPLODE ALL TREES
- ((h?emophil* or H or bacter* or bacill* or mycobacter* or coccobac*) NEAR2 (influenz* or pfeiffer* or meningitidis))
- MeSH DESCRIPTOR Serratia EXPLODE ALL TREES
- (serratia*)
- MeSH DESCRIPTOR Cronobacter EXPLODE ALL TREES
- (cronobact* or sakazaki* or malonatic*)
- MeSH DESCRIPTOR Acinetobacter EXPLODE ALL TREES
- ((acinetobact* or herellea* or mima or baumanni* or genomosp* or calcoacetic*))
- MeSH DESCRIPTOR Fusobacterium EXPLODE ALL TREES
- (fusobact* or sphaerophor* or necrophorum or nucleatum)
- MeSH DESCRIPTOR Enterococcus EXPLODE ALL TREES
- (enterococc*)
- #19 OR #20 OR #21 OR #22 OR #23 OR #24 OR #25 OR #26 OR #27 OR #28 OR #29 OR #30 OR #31 OR #32 OR #33 OR #34 OR #35 OR #36 OR #37 OR #38 OR #39 OR #40 OR #41 OR #42 OR #43 OR #44 OR #45 OR #46 OR #47 OR #48
- #18 OR #49
- #10 AND #50
- ((newborn* or new born* or neonat* or neo-nat* or perinat* or peri-nat*) NEAR4 (infect*))
- ((premature or pre-mature* or preterm or pre-term) NEAR4 (child* or infant* or baby* or babies* or offspring) NEAR4 (infect*))
- #52 OR #53
- #51 OR #54
- ((previous or preceding or earlier or prior or antecedent) NEAR4 (child* or infant* or baby* or babies* or offspring or delivery or deliveries))
- ((later or ‘next’ or succeeding) NEAR4 (child* or infant* or baby* or babies* or offspring or delivery or deliveries))
- MeSH DESCRIPTOR Infectious Disease Transmission, Vertical EXPLODE ALL TREES
- MeSH DESCRIPTOR Carrier State EXPLODE ALL TREES
- ((vertical* or maternal* or mother* or mum* or mom* or parental* or fetomaternal* or feto-maternal* or woman* or women* or pregnan* or gestat* or parturition* or birth* or childbirth* or labo?r*) NEAR4 (GBS* or group B* or MRSA* or met?icillin-resist*) NEAR4 (transmission* or transmit* or transfer* or infect* or diseas* or contaminat* or coloni?ation* or contagio* or bacteriuria* or carrier* or carriage or heterozygo))
- MeSH DESCRIPTOR Pregnancy, Multiple EXPLODE ALL TREES
- ((multiple or twin or triplet or quadruplet or quintuplet or superfetation) NEAR4 (pregnan* or gestat* or parturition* or birth* or childbirth* or labo?r* or delivery or deliveries)
- MeSH DESCRIPTOR Wound Infection
- ((wound*) NEAR4 (infect* or diseas* or contaminat* or coloni?ation* or contagio* or sepsis))
- MeSH DESCRIPTOR Postpartum Period
- (postpartum or post-partum or puerperium or puerperal)
- ((perineal or perineum) NEAR4 (infect* or diseas* or contaminat* or coloni?ation* or contagio*))
- MeSH DESCRIPTOR Obesity EXPLODE ALL TREES
- ((obesity or obese or overweight or over-weight) NEAR8 (risk*))
- MeSH DESCRIPTOR Hygiene EXPLODE ALL TREES
- MeSH DESCRIPTOR Sanitation EXPLODE ALL TREES
- (hygien* or saniti?e* or sanitation* or sanitary*)
- MeSH DESCRIPTOR Maternal Behavior EXPLODE ALL TREES
- ((behavio?r* or attitud*) NEAR4 (factor* or aspect* or consider* or circumstanc* or component* or influenc* or feature*))
- MeSH DESCRIPTOR Illness Behavior
- ((alter* or chang* or illness*) NEAR4 (behavio?r* or respons* or feedback*) NEAR8 (risk*))
- MeSH DESCRIPTOR Muscle Hypotonia
- (flop* or flaccid* or hypoton* or hypomyotoni*)
- ((alter* or chang* or poor* or decreas* or atonic* or feeble or insuffic* or meag* or weak* or unsatisfact* or imperfect* or impair* or declin* or reduc* or diminish*) NEAR4 (musc*))
- MeSH DESCRIPTOR Feeding Behavior
- ((feed* or bottle* or breast*) NEAR4 (behavio?r* or difficult* or refus* or intoleran* or declin* or ignor* or withdraw* or problem*))
- MeSH DESCRIPTOR Vomiting EXPLODE ALL TREES
- (vomit* or emesis*)
- ((gastric* or nasogastric* or naso-gastric*) NEAR4 (aspirat* or suction*)
- ((abdom?n* NEAR4 disten*))
- MeSH DESCRIPTOR Arrhythmias, Cardiac EXPLODE ALL TREES
- (arr?ythmia* or dysrhythmia*) 566 Delete
- ((abnormal* or anomal* or atypical* or irregular* or uncommon* or unexpect*) NEAR4 (heart* or cardiac* or vascular*) NEAR2 (rate* or pace* or measure* or rhythm* or beat*)
- (bradycardia* or bradyarrhythmia* or tachycardia* or tachyarrhythmia*)
- MeSH DESCRIPTOR Respiratory Distress Syndrome, Newborn
- ((respirat* or breath*) NEAR4 (distres* or troubl* or discomfort*))
- MeSH DESCRIPTOR Hypoxia EXPLODE ALL TREES
- (hypoxia* or hypoxic* or hypoxem* or anoxia* or anoxem*)
- ((oxygen*) NEAR4 (deficien* or reduc* or suturat* or concentrat* or measur*))
- MeSH DESCRIPTOR Cyanosis EXPLODE ALL TREES
- MeSH DESCRIPTOR Oximetry EXPLODE ALL TREES
- (cyanos?s* or cyanotic* or oximet*)
- MeSH DESCRIPTOR Jaundice, Neonatal EXPLODE ALL TREES
- (jaundice* or icterus*)
- MeSH DESCRIPTOR Apnea EXPLODE ALL TREES
- (apn?ea*)
- MeSH DESCRIPTOR Seizures
- ((seizure* or convuls* or paroxysm*) NEAR8 (risk*))
- MeSH DESCRIPTOR Cardiopulmonary Resuscitation EXPLODE ALL TREES
- ((cardiopulmon* or cardio-pulmon* or mouth-to-mouth*) NEAR4 (resuscitat*))
- (CPR) 133
- MeSH DESCRIPTOR Respiration, Artificial EXPLODE ALL TREES
- ((artificial* or mechanic* or automat* or machine* or control*) NEAR4 (respirat* or ventilat* or breath* or oxygenat*))
- MeSH DESCRIPTOR Body Temperature EXPLODE ALL TREES
- ((body* or organ* or skin* or high* or low* or excess* or reduc*) NEAR4 (temperat*))
- ((‘36*’ or ‘38*’) NEAR2 (C or celsius))
- ((‘96*’ or ‘100*’) NEAR2 (F or fahrenheit))
- MeSH DESCRIPTOR Shock EXPLODE ALL TREES
- ((shock) NOT (septic or sepsis))
- ((circulat*) NEAR4 (collaps* or fail*))
- ((pale* or cold* or clammy or chill* or blanch*) NEAR4 (skin*))
- MeSH DESCRIPTOR Sweat
- MeSH DESCRIPTOR Sweating
- (sweat* or perspir*)
- ((rapid* or shallow* or accelarat* or hollow* or flat*) NEAR4 (breath* or respirat*))
- (weakness* or fragilit*)
- MeSH DESCRIPTOR Dizziness
- (dizz* or orthostas* or lighthead* or light-head*)
- MeSH DESCRIPTOR Thirst
- (thirst*)
- MeSH DESCRIPTOR Yawning
- (yawn* or sigh or sighs)
- MeSH DESCRIPTOR Hemorrhage EXPLODE ALL TREES
- (bleed* or hemorrhag*)
- ((blood*) NEAR4 (loss or effus* or excess*))
- MeSH DESCRIPTOR Thrombocytopenia EXPLODE ALL TREES
- (thrombocytop?enia* or thrombop?enia*)
- MeSH DESCRIPTOR Blood Coagulation
- ((coagulat* or clot or clott*) NEAR8 (risk*))
- MeSH DESCRIPTOR Oliguria
- (oliguria*)
- ((decreas* or diminish* or dwindl* or reduc* or wane) NEAR4 (urin*))
- MeSH DESCRIPTOR Homeostasis
- (homeostas* or homeostat* or autoregulat* or auto-regulat*)
- MeSH DESCRIPTOR Hypoglycemia EXPLODE ALL TREES
- MeSH DESCRIPTOR Hyperglycemia EXPLODE ALL TREES
- (hypoglyc?emi* or hyperglyc?emi*)
- MeSH DESCRIPTOR Acidosis EXPlODE ALL TREES
- (acidos?s*)
- ((local* or region* or limit*) NEAR4 (infect* or contamin* or invas*))
- ((previous* or preced* or earlier or prior* or anteceden* or histor* or past*) NEAR4 (surg* or operat*))
- MeSH DESCRIPTOR Catheters EXPLODE ALL TREES
- MeSH DESCRIPTOR Catheterization
- MeSH DESCRIPTOR Catheterization, Central Venous
- MeSH DESCRIPTOR Catheterization, Peripheral EXPLODE ALL TREES
- ((catheter* or cannula*) NEAR4 (present* or presence* or exist* or attend* or current*))
- ((indwell* or in-dwell*) NEAR4 (devic* or apparat* or applianc* or equip* or gadget* or machine* or mechanism*))
- ((prematur* NEAR8 risk*))
- ((newborn* or new born* or neonat* or neo-nat* or perinat* or peri-nat*) NEAR4 (admiss* or admit*))
- ((previous* or preced* or earlier or prior* or anteceden* or histor* or past*) NEAR4 (GBS* or group B*) NEAR4 (infect* or contamin* or invas*))
- ((newborn* or new born* or neonat* or neo-nat* or perinat* or peri-nat* or infant* or baby* or babies*) NEAR4 (GBS* or group B* or MRSA* or met?icillin-resist*) NEAR4 (contaminat* or coloni?ation* or contagio*))
- #56 OR #57 OR #58 OR #59 OR #60 OR #61 OR #62 OR #63 OR #64 OR #65 OR #66 OR #67 OR #68 OR #69 OR #70 OR #71 OR #72 OR #73 OR #74 OR #75 OR #76 OR #77 OR #78 OR #79 OR #80 OR #81 OR #82 OR #83 OR #84 OR #85 OR #86 OR #87 OR #88 OR #89 OR #90 OR #91 OR #92 OR #93 OR #94 OR #95 OR #96 OR #97 OR #98 OR #99 OR #100 OR #101 OR #102 OR #103 OR #104 OR #105 OR #106 OR #107 OR #108 OR #109 OR #110 OR #111 OR #112 OR #113 OR #114 OR #115 OR #116 OR #117 OR #118 OR #119 OR #120 OR #121 OR #122 OR #123 OR #124 OR #125 OR #126 OR #127 OR #128 OR #129 OR #130 OR #131 OR #132 OR #133 OR #134 OR #135 OR #136 OR #137 OR #138 OR #139 OR #140 OR #141 OR #142 OR #143 OR #144 OR #145 OR #146 OR #147 OR #148 OR #149 OR #150 OR #151 OR #152 OR #153 OR #154 OR #155 OR #156
- #55 AND #157
Search Filters
The following search filters were combined as ‘And’ with the population and risk factor terms for the Medline databases and Embase. CDSR and DARE are systematic review databases so did not require the addition of a filter.
The Medline versions of the filters are reproduced below. Embase has validated translations of these that were used in the search.
Systematic Review
- MEDLINE or pubmed).tw.
- systematic review.tw.
- systematic review.pt.
- meta-analysis.pt.
- intervention$.ti.
- or/1-5
Observational studies
The in-house observational studies filter was adapted to focus on cross-sectional studies this was then supplemented with the McMaster diagnostic and prognostic filters.
- Cohort Studies/
- Prospective Studies/
- Retrospective Studies/
- Cross-Sectional Studies/
- cohort:.mp.
- predictor:.tw.
- cross sectional.tw.
- prospective*.tw.
- retrospective*.tw.
- sensitiv:.mp.
- predictive value:.mp.
- accurac:.tw.
- prognosis.sh.
- diagnosed.tw.
- death.tw.
- exp models, statistical/
- or/1-16
Risk terms
Following combination of population, risk factor and filter terms (if an appropriate database) the number of results were still considered too high. Additional risk terms were combined as ‘And’ with the other sections of the search strategy to reduce numbers.
The Medline risk terms are listed below. These were translated across all databases used in the search:
- exp Risk/
- exp Risk Management/
- Pregnancy, High Risk/
- risk*.tw.
- exp Health Status Indicators/
- ((health* or illness* or wellness* or wellbeing* or well-being*) adj4 (indicat* or index* or indices* or apprais* or barometer* or gaug* or mark* or warn* or ratio or ratios)).tw.
- (sever* adj4 illness*).tw.
- exp “Signs and Symptoms”/
- ((symptom* or sign or signs or manifest* or phenomenon*) adj8 (infect* or diseas* or contaminat* or mening* or pneumon* or nosocomial*)).tw.
- or/1-9
Virus terms
The following terms were combined as ‘Not’ with the other sections of the search strategy to remove any papers focused on viral illness.
The Medline virus terms are listed below. These were translated across all databases used in the search:
- exp Virus Diseases/
- exp Viruses/
- (virus* or viral* or retrovir* or arbovir* or lentivir* or deltaretrovir*).tw.
- HIV*.tw.
- (cytomegalovir* or CMV*).tw.
- herpes*.tw.
- (papillomavir* or HPV*).tw.
- ((hepatitis* or hepatitid*) adj2 (A or B or C or D or E)).tw.
- (parechovir* or echovir*).tw.
- (yellow* adj2 fever*).tw.
- rhinovir*.tw.
- (coronavir* or deltacoronavir*).tw.
- rotavir*.tw.
- (enterovir* or coxsackie*).tw.
- exp Malaria/
- (malaria* or paludism*).tw.
- exp Syphilis/
- (syphili* or neurosyphili* or neuro-syphili*).tw.
- or/1-18
B.3. Economics search: Health Economics literature search strategy
Download PDF (351K)
Appendix C. Prognostic and diagnostic evidence study selection
C.1. Clinical prediction models (PDF, 152K)
C.2. Maternal and neonatal risk factors (PDF, 138K)
Appendix D. Prognostic and diagnostic evidence
D.1. Clinical prediction models (PDF, 613K)
D.2. Maternal risk factors (PDF, 373K)
D.3. Neonatal risk factors (PDF, 621K)
Appendix E. Forest plots and ROC curves
Download PDF (408K)
Appendix F. GRADE tables
Download PDF (314K)
F.2. Maternal factors (PDF, 185K)
F.3. Neonatal factors (PDF, 549K)
Appendix G. Economic evidence study selection
Download PDF (135K)
Appendix H. Economic evidence tables
No economic evidence is available as none of the studies in the economic search results were found to be relevant.
Appendix I. Health economic model
This question was not prioritised for original economic analysis.
Appendix J. Excluded studies
J.1. Clinical prediction models (PDF, 254K)
J.2. Maternal and neonatal risk factors (PDF, 412K)
Appendix K. Research recommendations – full details
K.1.1. Research recommendation
What is the accuracy of new or existing clinical prediction models for late-onset neonatal infection in the UK and what is their effectiveness in guiding management?
- for babies already on a neonatal unit
- for babies admitted from home
K.1.2. Why this is important
Eight studies were identified which evaluated the accuracy of clinical prediction models for late-onset neonatal infection, none of which were based in the UK and none which provided evidence of external validation. There was no evidence for the use of clinical prediction models for babies who were admitted to hospital from home.
Further research is needed using a robust study design such as prospective cohort studies, parallel RCTs or cluster RCTs to either examine the effectiveness of existing clinical prediction models for late-onset neonatal infection, or to develop new clinical prediction models designed for use in UK clinical practice. Research in this area is essential to help develop accurate methods of identifying babies most at risk of developing late-onset neonatal infection whilst avoiding over-prescribing of antibiotics.
K.1.3. Rationale for research recommendation
Download PDF (184K)
K.1.4. Modified PICO table (Part A – prognostic accuracy)
Download PDF (185K)
K.1.5. Modified PICO table (Part B – clinical effectiveness)
Download PDF (139K)
Final
Evidence reviews underpinning recommendations 1.4.1-1.4.2 and research recommendations in the NICE guideline
These evidence reviews were developed by NICE Guideline Updates Team
Disclaimer: The recommendations in this guideline represent the view of NICE, arrived at after careful consideration of the evidence available. When exercising their judgement, professionals are expected to take this guideline fully into account, alongside the individual needs, preferences and values of their patients or service users. The recommendations in this guideline are not mandatory and the guideline does not override the responsibility of healthcare professionals to make decisions appropriate to the circumstances of the individual patient, in consultation with the patient and/or their carer or guardian.
Local commissioners and/or providers have a responsibility to enable the guideline to be applied when individual health professionals and their patients or service users wish to use it. They should do so in the context of local and national priorities for funding and developing services, and in light of their duties to have due regard to the need to eliminate unlawful discrimination, to advance equality of opportunity and to reduce health inequalities. Nothing in this guideline should be interpreted in a way that would be inconsistent with compliance with those duties.
NICE guidelines cover health and care in England. Decisions on how they apply in other UK countries are made by ministers in the Welsh Government, Scottish Government, and Northern Ireland Executive. All NICE guidance is subject to regular review and may be updated or withdrawn.
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