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1. Introduction
The assessment of patients with suspected heart valve disease begins with a comprehensive clinical assessment, comprising history taking and systematic physical examination including cardiac auscultation to detect murmurs and associated changes in the normal heart sounds. This initial clinical assessment can be performed in primary care, in hospital settings outside cardiology or within cardiology, it can increase or decrease the suspicion of existence of heart valve disease and it can provide indications of heart valve disease severity. However, the firm diagnosis of existence and of severity of heart valve disease is made with cardiac imaging, primarily with echocardiography.
There is access to echocardiography as a result of a referral from primary care or from hospital settings outside or within cardiology. However, if cardiac auscultation is reassuring, echocardiography may be unnecessary. The capacity for echocardiography is not unlimited and unnecessary assessments would both inconvenience the individual assessed and delay the essential assessment of another individual. Consequently, it is important to identify the symptoms and signs that indicate referral for echocardiography.
The clinical pathway comprising referral for echocardiography and subsequent assessment of the result to decide if referral to a specialist is needed, may introduce delay in the care of patients with severe symptoms due to potentially severe heart valve disease. Consequently, it is important to identify the symptoms and signs that indicate direct referral to a specialist to avoid delay. Specialist clinics offer one stop echocardiography or echocardiography prior to the clinic appointment, as such shortening the clinical pathway.
2. Signs and symptoms indicating echocardiography referral
2.1. In adults with suspected heart valve disease what symptoms and signs indicate referral (for example from primary care) for echocardiography?
2.1.2. 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 and the methods document.
Declarations of interest were recorded according to NICE’s conflicts of interest policy.
2.1.3. Diagnostic evidence
2.1.3.1. Included studies
A search was conducted for cross-sectional and prospective and retrospective cohort studies assessing the diagnostic test accuracy of murmur with or without other signs or symptoms (heart sounds and/or symptoms) to identify whether the condition is present (as indicated by the reference standard) in people under investigation for condition heart valve disease.
Diagnostic association studies that report data on the association between murmur with or without other signs or symptoms (heart sounds and/or symptoms) and diagnosis of heart valve disease were also considered for all populations and tests because the available diagnostic accuracy evidence was either mostly indirect or limited to small samples.
Thirty studies with diagnostic accuracy data or data that could be used to calculate diagnostic accuracy data were included in the review;5, 11, 16–19, 21–23, 27, 29, 34, 51, 72, 86, 97, 103, 109, 113, 117, 121, 132, 137, 139, 143, 163, 171, 174, 175, 230 these are summarised in Table 2 below. All of the studies reported cross-sectional diagnostic data. Evidence from these studies is summarised in the clinical evidence summary below in Tables 3–16.
Most of the studies investigated the accuracy of murmur alone for the diagnosis of heart valve disease, with the definition of the murmur and person conducting auscultation differing between studies. However, two studies23, 174 looked at murmur plus symptoms, three studies174,19,132 assessed murmur plus an absent or reduced second heart sound, and one study174 looked at murmur plus abnormal ECG.
The assessment of the evidence quality was conducted with emphasis on test sensitivity, as this was identified by the committee as the primary measure in guiding decision-making as the priority would be to avoid missing cases (false negatives) and not sending them for further testing as a result. The committee set clinical decision thresholds as sensitivity = 0.60.
Reference standards
Of the 30 studies included in the review, 25 used the preferred reference standard of echocardiography. However, a further 5 studies were included that used cardiac catheterisation as the method of confirming valve disease, as this was the preferred method confirming valve disease before echocardiography was available. This more invasive procedure was used in older studies, and these results were analysed separately to data using echocardiography as the reference standard.
Populations
Studies that involved screening for heart valve disease and murmurs in presumably healthy populations where there could be no reason for a suspicion of heart valve disease were excluded, for example, where screening was performed for everyone who experienced a hip fracture or in populations that were said to be healthy. However, studies where there was not necessarily a suspicion of heart valve disease but had some indication for either attendance at hospital or primary care, echocardiography or were experiencing cardiac symptoms were included, as there was limited evidence where the populations were defined as specifically being suspected of having heart valve disease.
Studies where the presence of a murmur was required for a participant to be included in a study were also included, despite the fact that this would mean all were already known to be index test positive before enrolment. Limited diagnostic accuracy data can be obtained from these studies, but it was agreed to include these given that murmur would be one of the main reasons for suspicion of heart valve disease and these studies could still provide information on the proportion of those with the murmur that actually had reference standard confirmed valve disease, in the form of the positive predictive ratio. The limitations of these studies were highlighted.
For further details of the review methods see section 2.1.6 Summary of the diagnostic evidence.
See also the study selection flow chart in Appendix C, and sensitivity and specificity forest plots in Appendix E, and study evidence tables in Appendix D.
2.1.3.2. Excluded studies
See the excluded studies list in Appendix I.
2.1.4. Summary of studies included in the diagnostic evidence
See Appendix D for full evidence.
2.1.5. Summary of the diagnostic evidence
The assessment of the evidence quality was conducted with emphasis on test sensitivity as this was identified by the committee as the primary measure in guiding decision-making. The committee set a clinical decision threshold of 0.6 for sensitivity.
The populations, target conditions and index tests used across the included studies were considered to be very broad and wide-ranging, and therefore no studies were pooled into a diagnostic meta-analysis. Sensitivity and specificity for each individual study is given below, separated into broad categories based on the population and also by whether the reference standard was echocardiography or cardiac catheterisation.
For studies where all of those included had to be positive for murmur with/without another characteristic (which was used as an index test in our review), sensitivity and specificity, as well as other measures, could not be calculated, and positive predictive values are instead presented.
Note that although all included studies detected heart valve disease as the target condition, the type of heart valve disease that was included in the studies varied. For example, some studies aimed to diagnose and report any type of valve disease (including aortic stenosis, aortic regurgitation, mitral stenosis, mitral regurgitation and tricuspid regurgitation), while others focused specifically on one or two types of valve disease, such as aortic stenosis or mitral stenosis and mitral regurgitation, or any type of regurgitation but not stenosis (i.e. aortic regurgitation, mitral regurgitation and tricuspid regurgitation). Where possible, results have been calculated for ‘any valve disease’; however, in many cases results are reported separately for each type of valve disease as it was not possible to determine how many may have had more than one type of valve disease at the same time to calculate diagnostic accuracy results for overall heart valve disease in each study.
Reference standard – echocardiography
2.1.6. Economic evidence
2.1.6.1. Included studies
No health economic studies were included.
2.1.6.2. Excluded studies
No relevant health economic studies were excluded due to assessment of limited applicability or methodological limitations.
See also the health economic study selection flow chart in Appendix F.
2.1.7. Summary of included economic evidence
None
2.1.8. Economic model
This area was not prioritised for new cost-effectiveness analysis.
2.1.9. Unit costs
Relevant unit costs are provided below to aid consideration of cost effectiveness.
3. Signs and symptoms indicating referral to a specialist
3.1. In adults with suspected heart valve disease, what symptoms and signs indicate direct referral (for example from primary care) to a specialist?
3.1.2. 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 and the methods document.
Declarations of interest were recorded according to NICE’s conflicts of interest policy.
3.1.3. Diagnostic evidence
3.1.3.1. Included studies
A search was conducted for cross-sectional and prospective and retrospective cohort studies assessing the diagnostic test accuracy of murmur with or without other signs or symptoms (heart sounds and/or symptoms) to identify whether the condition is present (as indicated by the reference standard) in people under investigation for condition severe heart valve disease.
Diagnostic association studies that report data on the association between murmur with or without other signs or symptoms (heart sounds and/or symptoms) and diagnosis of severe heart valve disease were also considered for all populations and tests because the available diagnostic accuracy evidence was either mostly indirect or limited to small samples.
Nineteen studies with diagnostic accuracy data or data that could be used to calculate diagnostic accuracy data were included in the review;3, 5, 16–19, 51, 63, 89, 109, 117, 121, 131, 132, 134, 163, 171, 174, 191 these are summarised in Table 19 below. All of the studies reported cross-sectional diagnostic data. Most of the studies investigated the accuracy of murmur alone for the diagnosis of severe heart valve disease, with the definition of the murmur and person conducting auscultation differing between studies. However, two studies174, 191 looked at murmur plus symptoms, three studies3, 132, 174 assessed murmur plus an absent or reduced second heart sound, and one study174 looked at murmur plus abnormal ECG.
One of these studies19 also provided diagnostic association data for a particular index test (murmur + diminished aortic closure sound) for the diagnosis of moderate or severe aortic stenosis.
Evidence from these studies is summarised in the clinical evidence summary below in Tables 20–32 below.
The assessment of the evidence quality was conducted with emphasis on test sensitivity, as this was identified by the committee as the primary measure in guiding decision-making as the priority would be to avoid missing cases (false negatives) and not sending them for further testing as a result. The committee set clinical decision thresholds as sensitivity = 0.60.
Reference standards
Only studies that had used echocardiography as a reference standard for confirming valve disease were included in this review as the older method of confirming valve disease (cardiac catheterisation) is not as good at assessing the severity of heart valve disease as the current gold standard of echocardiography is, and this review focuses on the diagnosis of severe heart valve disease, which may differ between cardiac catheterisation and echocardiography.
Populations
Studies that involved screening for heart valve disease and murmurs in presumably healthy populations where there could be no reason for a suspicion of heart valve disease were excluded, for example, where screening was performed for everyone who experienced a hip fracture or in populations that were said to be healthy. However, studies where there was not necessarily a suspicion of heart valve disease but had some indication for either attendance at hospital or primary care, echocardiography or were experiencing cardiac symptoms were included as indirect evidence, as there was limited evidence where the populations were defined as specifically being suspected of having heart valve disease. This were analysed separately to populations with suspected heart valve disease.
Studies where the presence of a murmur was required for a participant to be included in a study were also included, despite the fact that this would mean all were already known to be index test positive before enrolment. Limited diagnostic accuracy data can be obtained from these studies, but it was agreed to include these as indirect evidence given that murmur would be one of the main reasons for suspicion of heart valve disease and these studies could still provide information on the proportion of those with the murmur that actually had reference standard confirmed valve disease, in the form of the positive predictive ratio. The limitations of these studies were highlighted and they were analysed separately to other studies.
For further details of the review methods see section 3.1.6 Summary of the diagnostic evidence.
See also the study selection flow chart in Appendix C, sensitivity and specificity forest plots in Appendix E, and study evidence tables in Appendix D.
3.1.3.2. Excluded studies
See the excluded studies list in Appendix I.
3.1.4. Summary of studies included in the diagnostic evidence
See Appendix D for full evidence tables.
3.1.5. Summary of the diagnostic evidence
The populations, target conditions and index tests used across the included studies were considered to be very broad and wide-ranging, and therefore no studies were pooled into a diagnostic meta-analysis. Sensitivity and specificity for each individual study is given below, separated into broad categories based on the population.
For studies where all of those included had to be positive for murmur with/without another characteristic (which was used as an index test in our review), sensitivity and specificity, as well as other measures, could not be calculated, and positive predictive values are instead presented.
Note that although all included studies detected heart valve disease as the target condition, the type of heart valve disease that was included in the studies varied. For example, some studies aimed to diagnose and report any type of valve disease (including aortic stenosis, aortic regurgitation, mitral stenosis, mitral regurgitation and tricuspid regurgitation), while others focused specifically on one or two types of valve disease, such as aortic stenosis or mitral stenosis and mitral regurgitation, or any type of regurgitation but not stenosis (i.e. aortic regurgitation, mitral regurgitation and tricuspid regurgitation). Where possible, results have been calculated for ‘any valve disease’; however, in many cases results are reported separately for each type of valve disease as it was not possible to determine how many may have had more than one type of valve disease at the same time to calculate diagnostic accuracy results for overall heart valve disease in each study.
The assessment of the evidence quality was conducted with emphasis on test sensitivity as this was identified by the committee as the primary measure in guiding decision-making. The committee set a clinical decision threshold of 0.6 for sensitivity.
3.1.6. Economic evidence
3.1.6.1. Included studies
No health economic studies were included.
3.1.6.2. Excluded studies
No relevant health economic studies were excluded due to assessment of limited applicability or methodological limitations.
See also the health economic study selection flow chart in Appendix F.
3.1.7. Summary of included economic evidence
None
3.1.8. Economic model
This area was not prioritised for new cost-effectiveness analysis.
3.1.9. Unit costs
4. The committee’s discussion of the evidence
4.1. Interpreting the evidence
4.1.1. The diagnostic measures that matter most
Symptoms and signs indicating referral for echocardiography and direct referral to a specialist
For decision-making, it was agreed that sensitivity should be the primary measure taken into account, as avoiding false negatives was considered to be the priority over avoiding false positives, to avoid sending many people away early without further testing. This was because missing potentially severe cases of heart valve disease that may require intervention at the time of evaluation or further down the line, or non-severe heart valve disease that may progress to severe disease and requires monitoring, may result in negative consequences for patients.
A threshold of ≥60% was selected to represent suitable sensitivity to consider recommending a symptom or sign as an indicator for echocardiography or specialist referral, as although this is fairly low for sensitivity, the committee considered this to be a reasonable threshold for the heart valve disease population, as sensitivity of symptoms and signs for heart valve disease in general was considered to be low.
The specificity was still considered to be important and was considered alongside sensitivity to ensure that any recommendations made would not lead to a large proportion of people without heart valve disease being referred and to avoid an unnecessary strain on echocardiography and specialist services.
In studies where the inclusion criteria required all participants to have a particular symptom or sign, for example all with a murmur, the positive predictive value was the only diagnostic accuracy measure that could be obtained and was equivalent to the prevalence of heart valve disease in the population (for example, the prevalence of heart valve disease in those that present with a murmur). This gave useful information on the proportion with a murmur that would actually have echocardiography-confirmed heart valve disease or severe heart valve disease and helped guide the decision on when echocardiography or specialist referral should be offered or considered, alongside specificity values from other studies. The committee noted that the prevalence of heart valve disease varied between different populations and not all were applicable to the UK setting.
Women of child-bearing age and pregnancy
The evidence is in the form of expert testimony and can be found in Appendix K. This testimony was further discussed at a committee meeting and used to inform recommendations in this area that were aimed at cardiologists. Expert testimony for recommendations in pregnant women or women considering pregnancy was agreed to be important by the committee across the guideline as it was a population where limited or no evidence was expected and identified depending on the individual review question and the committee did not feel able to make consensus recommendations for this population without expert testimony.
4.1.2. The quality of the evidence
The issues with the quality of the evidence were the same for both evidence reviews covered by this discussion document and are summarised below.
The characteristics of the included studies were very varied. The differences between the studies included:
- Different populations (e.g. some had to have a murmur to be included while others looked at a broader population of anyone that was referred for echocardiography evaluation)
- Type of heart valve disease they aimed to detect (e.g. some studies reported any detected heart valve disease while others were focused on a specific type, such as mitral regurgitation)
- The definition of symptoms and signs used (e.g. some studies defined murmur as any cardiac murmur while others focused on specific type of murmur, such as the high frequency diastolic decrescendo murmur beginning with A2 for the detection of aortic regurgitation)
- The type of clinician performing the clinical examination for the detection of the murmur (some were performed by the equivalent of primary care practitioners, but many were performed by experienced cardiologists)
The differences discussed above meant that for both reviews, no pooling of the studies was possible, and the committee had to consider each study separately, which made interpretation difficult.
In addition, the majority of the evidence for both reviews was of very low quality based on the assessment of risk of bias using the QUADAS-2 checklist, indirectness in relation to the protocols and a measure of imprecision for sensitivity and specificity.
- The main reasons that studies were downgraded for risk of bias were a lack of or no reporting of blinding between the index symptoms/signs and the reference standard used to confirm the presence of heart valve disease, as well as an unclear time interval between the two methods of evaluation.
- The main source of indirectness was the inclusion of people in whom heart valve disease may not have been suspected prior to the study.
- Studies where all had to have a particular symptom or sign to be included (e.g. murmur) were also downgraded for indirectness as this is not representative of the population presenting with suspected heart valve disease.
- A further issue with indirectness was the fact that in many of the studies the clinical examination for the detection of a murmur was performed by an experienced cardiologist rather than a primary care physician. The committee agreed that the experience of cardiologists means they should be able to determine whether a murmur is present, and whether it is pathological or not, with improved accuracy compared with primary care physicians. Therefore, the sensitivity and specificity values obtained from these studies may be indirect in relation to the protocols as both reviews are designed to cover the population that have not yet been referred to a cardiologist.
- Moderate or severe heart valve disease indirectness – direct referral to a specialist review: In addition to the factors described above, there was also indirectness for various studies included in the review on direct referral to a specialist, as some studies only gave information for the number of moderate or severe cases combined, rather than for only severe cases. This means that the sensitivity and specificity values obtained from these studies are indirect in relation to the protocol-defined diagnosis of severe heart valve disease.
The majority of the studies were considered to be small in size and many were not designed as diagnostic accuracy studies but had sufficient information available to be able to produce 2x2 tables and calculate sensitivity, specificity and other diagnostic accuracy measures.
Despite the limitations described above and the differences between the studies, the committee did feel able to make recommendations by carefully considering all the evidence presented and the impact any changes would have on current practice, while acknowledging the limitations associated with the evidence reviewed. These factors were also taken into account when deciding on the strength of recommendations.
4.1.3. Benefits and harms
The recommendations were based on evidence from both reviews listed above. Therefore, the discussion of the evidence from both reviews has been presented as single discussion document.
Referral for echocardiography
Murmur alone
The committee discussed that in current practice, not everyone with a murmur detected incidentally in primary care, in the absence of other symptoms or signs, would be referred for echocardiography. This is because murmurs can be pathological or innocent and in many cases primary care would not be able to distinguish between pathological and innocent murmurs based on clinical examination. Innocent murmurs are common in particular groups of people, for example in teenagers / young adults and during pregnancy. Referring anyone with a murmur in primary care would therefore include these groups with innocent murmurs and lead to a considerable proportion of those with innocent murmurs being referred for echocardiography. The committee agreed that in current practice those with a murmur and some suspicion of cardiac pathology would usually be referred for echocardiography.
On review of the evidence presented, the committee agreed that the sensitivity values obtained for the detection of heart valve disease of any severity varied substantially due to differences in study population, murmur definition, type of heart valve disease covered and the individual performing the clinical examination for detection of murmur. Most studies had a sensitivity value falling under the threshold of 60% specified in the protocol.
However, in general the specificity values reported across studies were reasonably good, with most being ≥80%. Despite these results suggesting that the presence of a murmur is a fairly specific indicator of heart valve disease being present, with a low proportion of false positives, results from studies where all had to have a murmur to be included reported a low prevalence of heart valve disease in those included in the study (all but one of the six studies reported prevalence <60%, including one study in pregnant women), suggesting that at least 40% of people with a murmur would not subsequently be confirmed to have heart valve disease on echocardiography.
Based on a discussion of sensitivity and specificity as described above, the committee agreed that in those that have a murmur alone and no other symptoms or signs, referral for echocardiography should be considered only if there is some suspicion that heart valve disease may be present, for example based on the nature of the murmur, family history or patient characteristics, such as age or medical history. This is because the evidence was not considered to be strong enough, as some studies suggested that a large proportion of false positives would be identified and sent for unnecessary further testing, to support referring everyone with a murmur for echocardiography, considering that this would represent a change in current practice and would increase pressure on echocardiography services. The committee also agreed that patient preferences should be taken into account regarding referral for echocardiography and future intervention. For example, it was highlighted that if a patient does not wish to undergo an intervention in the future then referring for echocardiography may not be necessary, but this should be discussed with the patient.
The committee noted that the aim was not to recommend screening for a murmur but that if a murmur was detected in those already presenting with suspected heart valve disease then echocardiography referral should be considered. The committee also acknowledged that, although the nature of the murmur may be the key factor that indicates a likely heart valve disease diagnosis, it may be difficult on auscultation to determine whether the nature of a murmur indicates heart valve disease. Typical examples of murmurs associated with heart valve disease are mid-systolic ejectional murmurs for aortic stenosis and holo-systolic (pan-systolic) regurgitant murmurs due to regurgitation of the mitral or tricuspid valve.
Systolic murmur with a reduced second heart sound
The committee agreed that there was evidence from two studies that few false positives are identified in terms of echocardiography-confirmed aortic stenosis when the presence of a systolic murmur + reduced second heart sound is detected, with one study reporting 100% specificity and the other reporting a positive likelihood ratio of 15.7. A recommendation involving this combination was therefore made. The recommendation specifies ejection systolic murmur as this combined with a reduced second heart sound is a classic indicator of aortic stenosis and is most often present in severe aortic stenosis. Although information on false positives was only available from two studies, the committee agreed that people with these features should be referred for echocardiography, in line with current practice, but based on the limitations of the evidence this was also limited to those in whom heart valve disease was considered to be a possible explanation of these signs. The committee noted that sensitivity values of systolic murmur + reduced second heart sound were poorer than when murmur alone was used. This was explained by the fact that a systolic murmur with a reduced second heart sound is usually a sign of severe aortic stenosis, meaning mild and moderate cases would not usually present with this sign. As the aim of the review focusing on referral for echocardiography was to diagnose heart valve disease of any severity, this observation added to the importance of a consider recommendation for those with suspected heart valve disease and only a murmur, as detailed above under ‘murmur alone’.
Murmur with other symptoms or signs
The definition of other symptoms and signs varied between studies but included abnormal ECG (atrial fibrillation or left ventricular hypertrophy) or symptoms such as angina, dyspnoea (breathlessness) or peripheral oedema. The committee agreed that based on the evidence presented, the specificity values for heart valve disease detection when murmur + other symptoms or signs (including atrial fibrillation or left ventricular hypertrophy on ECG, or symptoms or signs of heart failure such as angina, dyspnoea and peripheral oedema) was detected were generally higher than those for murmur alone, suggesting a stronger argument for echocardiography referral in this group of people. However, these observations were only based on a few studies. Therefore, a recommendation was made that echocardiography referral should be offered in individuals with a murmur and other symptoms or signs in line with current practice, but based on the limitations of the evidence this was also limited to those in whom heart valve disease was considered to be a possible explanation of these signs and symptoms. Peripheral oedema was recognised to be a very common presenting symptom in primary care that would not usually indicate the need for an echocardiogram, and so the recommendation specifies peripheral oedema consistent with heart failure. The committee noted that sensitivity values of murmur + other symptoms or signs for heart valve disease of any severity were poorer than when murmur alone was used, which added to the importance of a consider recommendation for those with suspected heart valve disease and only a murmur, as detailed above under ‘murmur alone’.
No murmur
Although the sensitivity of a murmur alone or with other symptoms or signs was poor for detection of heart valve disease of any severity in many of the studies included in the review (most <60% for murmur alone and <40% for murmur in combination with other symptoms or signs), the presence of other symptoms or signs alone, without a murmur being present, was not covered by the review protocol and therefore recommendations for those with symptoms and signs but no murmur could not be made. However, the committee agreed that for adults with breathlessness and suspected valve disease but no murmur, recommendations in the NICE guideline on chronic heart failure should be followed. The committee agreed not to prioritise this area for research recommendations due to the difficulties in carry this out.
Direct referral to a specialist
Further information to support echocardiography referral recommendations
The sensitivity values obtained for murmur alone or murmur with a reduced or absent second heart sound for the diagnosis of severe heart valve disease were generally higher compared with the same signs for the detection of any heart valve disease severity. This means that the poorer sensitivity values observed for any heart valve disease severity may partially be a result of mild or moderate heart valve disease not presenting with these signs, including murmur, and therefore being missed, and that more cases of severe heart valve disease do present with these signs and are likely to be referred for echocardiography based on the recommendations the committee made. This information obtained from the direct referral to a specialist review added to the evidence obtained from the echocardiography referral review and contributed to the recommendations the committee made on echocardiography referral for murmur alone and systolic murmur with a reduced or absent second heart sound.
Recommendations on direct specialist referral
Despite improved sensitivity values for the diagnosis of severe heart valve disease, specificity values were in general poorer compared with for the diagnosis of heart valve disease of any severity because the signs and symptoms were not only present in those with severe heart valve disease and some with mild and moderate cases of heart valve disease presented with the same signs or symptoms. This included when murmur alone was used as a sign and also combinations of murmur and other symptoms or signs, such as murmur + dyspnoea and murmur + abnormal ECG. Similarly, in those studies where all participants had to have a particular sign or combination of signs and symptoms to be included, such as murmur alone or murmur + another indication, the positive predictive values as a measure of prevalence of severe heart valve disease were poorer for severe heart valve disease than any severity of heart valve disease covered in the previous review.
As a result of this, and the limitations associated with the evidence presented, recommendations concerning urgent assessment were limited to those with severe symptoms that limit daily activities (angina: Canadian Cardiovascular Society score≥3 or breathlessness: NYHA class ≥3 or more on minimal exertion or at rest, or exertional syncope), a murmur and a suspicion of heart valve disease. These thresholds of ≥3 on the mentioned scales were based on committee experience as they were considered to represent severe angina and breathlessness, respectively. This was to avoid unnecessary referrals to specialists, as specificity of the signs and symptoms investigated for diagnosis of severe heart valve disease was lower than for any heart valve disease severity, and severe heart valve disease is an indication for specialist referral in current practice as it is likely that intervention may be required.
The committee recommended that in people with suspected heart valve disease, exertional syncope and a systolic murmur urgent specialist assessment or urgent echocardiogram should be offered as in some cases an echocardiogram may be faster than direct specialist referral and the decision between these should be made based on the opinion of the examiner. This was made based on consensus as although there was some evidence to suggest a good specificity (97%) for the combination of syncope with a murmur for echocardiography-confirmed ‘significant’ aortic stenosis (gradient ≥30 mmHg), the evidence for exertional syncope with a systolic murmur was more limited as sensitivity and specificity values could not be calculated; the positive predictive value from this study was available and suggested that a large proportion of those with this combination would not have echocardiography-confirmed severe aortic stenosis. The strong offer recommendation was made in this group because, based on committee experience, if exertional syncope is caused by severe aortic stenosis it represents a high risk for poor outcome. Therefore, the diagnosis needs to be made quickly to allow appropriate management, which would likely include intervention if severe aortic stenosis is confirmed. This was considered to be in line with current practice as usually anyone with a systolic murmur and exertional syncope is offered echocardiography or specialist review.
For people with suspected heart valve disease, severe angina or breathlessness (≥3 on Canadian Cardiovascular Society score or NYHA class, respectively) on minimal exertion or at rest and a murmur, urgent specialist assessment, which would include access to echocardiogram, should be considered. This was considered to be in line with current practice as this group of patients are usually referred for echocardiography first and then the urgency of a specialist review is decided upon.
The committee discussed whether the timeframe for urgent referral could be specified. The time frame of two weeks is consistent with current practice and should be before the disease progresses significantly. The committee noted that non-exertional syncope is covered by the transient loss of consciousness guideline in terms of referral to a specialist, and therefore cross referral to this guideline should be made.
Similar to the review on referral for echocardiography, the presence of other symptoms or signs alone, without a murmur being present, was not covered by the review protocol and therefore recommendations for those with symptoms and signs but no murmur could not be made. The sensitivity values for severe disease in this review when murmur alone was used as the sign appeared in general to be better than the sensitivity values when any severity of valve disease was being detected with this sign; however, fewer studies reported data for the severe heart valve disease which was the focus of this direct referral to a specialist review and sensitivity values for murmur with another sign or symptom were still poor in this review (most <50%). However, the committee highlighted that recommendations in the NICE guideline on chronic heart failure should be followed for adults with breathlessness and suspected valve disease but no murmur, as recommendations for those without a murmur could not be made as part of this guideline.
Women of childbearing age and pregnancy
Although recommendations in this specific population were made based on the discussion of expert testimony and consensus, some evidence in the evidence reviews was identified on the use of murmur as a sign of any heart valve disease (n=1 study) or tricuspid regurgitation in pregnant women (n=1 study). The latter study also provided results for severe tricuspid regurgitation as well as any severity of tricuspid regurgitation. The evidence from these studies was limited as in one study all of those included had a murmur, which meant only the sensitivity and specificity values could not be calculated. The other study allowed calculation of sensitivity and specificity for murmurs considered to be pathological by the senior cardiologist performing the assessment in terms of any valve disease confirmed on echocardiography, demonstrating good sensitivity (100%) and specificity values (82%). However, the committee noted that in practice assessments to detect valve disease would be done in primary care and not by senior cardiologists, meaning the evidence was too limited to base recommendations on. The committee noted that in their experience flow murmurs were common in many pregnant women that do not have echocardiography-confirmed valve disease, which was supported by the expert testimony discussed below.
As the evidence identified and discussed above was limited for this population, the committee made recommendations based on the discussion of the expert testimony. The committee recognised that the proportion of women who are pregnant and who have heart valve disease is small compared with the number of women of childbearing age who may be considering pregnancy. It was agreed that it was important that these women are given advice before making a treatment decision as they need to carefully consider the impact of treatment on any future pregnancy. It was noted that factors to consider should include the type of valve they receive if surgery is performed and that to inform this decision it may be appropriate for their clinician to seek specialist advice from a cardiologist with expertise in the care of pregnant women. A recommendation was therefore made to consider seeking specialist advice on the choice of replacement valve in women of childbearing potential. Examples of were advice might be needed include to discuss risk of pregnancy relative to the type and severity of valve disease the woman has at that moment in time, the need to postpone pregnancy up to when valve disease is managed in some cases, likelihood of development of symptoms during pregnancy and need for specific management and the suitability for spontaneous delivery or need for caesarean section.
The committee noted that women may be inappropriately advised against becoming pregnant by health professionals who lack specialist expertise. The committee agreed that some women diagnosed with heart valve disease who may wish to become pregnant or who are pregnant should be referred to a cardiologist with specialist expertise. The committee highlighted and recommended that it is only women with moderate or severe heart valve disease, bicuspid aortic valve disease with associated aortopathy or those with a mechanical valve that need to referred. This is because mild heart valve disease, for example, regurgitation secondary to mitral valve prolapse, is very common, haemodynamically insignificant and very unlikely to confer any additional risk or require any specific management in pregnancy. On balance the committee felt that these women could be safely and appropriately managed by general cardiology and obstetric services, though it should be emphasised that in any cases of doubt specialist advice should always be sought. The committee noted that there is no national accreditation for cardiologists with a specialist interest in pregnancy. The committee also acknowledged that an ejection systolic flow murmur is present in most pregnant women and is not a cause for concern. A recommendation highlighting that most women with valve disease can have a pregnancy without complications was made to acknowledge these points. However, it was also recommended that in women with severe valve disease, particularly aortic and mitral stenosis, advice on contraception and planned pregnancy should be offered to allow them to make informed decisions.
For guidance on intrapartum care in this population, the committee agreed to cross-refer to the NICE guideline on intrapartum care for women with existing medical conditions or obstetric complications and their babies.
4.1.4. Cost effectiveness and resource use
There was no published evidence of cost effectiveness. The committee were presented with unit costs for echocardiography and cardiology outpatient appointments. The cost effectiveness for specific symptoms for determining referral is uncertain. However, the recommendations do not represent a significant change from current practice and they imply that referral should not take place unless relevant symptoms are present.
4.1.5. Other factors the committee took into account
The committee noted that first degree relatives of people with a bicuspid aortic valve also have an approximately 10% chance of having a bicuspid valve and should be offered echocardiography.
The recommendations are consistent with the NHS long term plan which refers to greater access to echocardiography in primary care to improve the investigation of those with breathlessness, and the early detection of heart failure and heart valve disease.
The committee agreed that the recommendations drafted should apply to anyone with a suspicion of heart valve disease and the signs or symptoms specified, including pregnant women if there is still a suspicion that heart valve disease may be present. Therefore, no separate recommendation is needed for pregnant women, although mitral stenosis is known to be a particular concern in pregnancy.
The committee acknowledged that informing patients that they have a murmur but that no further investigations, such as echocardiography, are needed because there are no reasons to suspect heart valve disease can cause anxiety in some patients and confirming the absence of heart valve disease on echocardiography could relieve this anxiety. However, recommendations for echocardiography referral were focused on those where there may be a suspicion of heart valve disease to avoid overwhelming echocardiography services with referrals that would subsequently be negative on echocardiography for heart valve disease.
The committee also noted that even if no murmur is heard, heart valve disease could still be present, and referral may be appropriate if, for example, severe symptoms are present. A recommendation on this could not however be made as the review protocols focused on looking at murmur with or without other signs or symptoms and did not allow evidence on symptoms or signs on their own, without a murmur being present, to be included. As the evidence was not reviewed recommendations could not be made for those without a murmur.
The committee prioritised areas for research recommendations that were most practical to carry out.
4.2. Recommendations supported by this evidence review
This evidence review supports recommendations 1.1.1–1.1.5.
5. Women of child-bearing age and pregnancy
5.1. In women of child-bearing age and women who are pregnant what issues across the review questions need to be considered?
5.1.1. Introduction
More women with valvular heart disease are reaching child-bearing age and considering pregnancy. The need for pre-conception advice is an important component of supporting the person to make informed decisions but access is highly varied. In addition, many women with significant valve disease are often not aware of their diagnosis prior to pregnancy, and therefore do not have an opportunity for preconception advice and timely treatment before pregnancy.
Expert witness testimony was sought to inform recommendations in this population with heart valve disease as there was expected and confirmed to be a lack of evidence specifically in this population and there are important factors to be considered when managing heart valve disease in pregnant women or women of child-bearing age. The expert witness testimony can be found in Appendix K. An expert was invited to attend a committee meeting to provide evidence from their experience and specific expertise. They answered questions from committee members and were invited to present evidence in the form of expert testimony.
This expert testimony supports recommendations 1.1.8–1.1.11. A discussion of how this expert testimony was used to inform recommendations is provided in the benefits and harms section above, under ‘Women of child-bearing age and pregnancy’.
References
- 1.
- Abbasi AS, DeCristofaro D, Anabtawi J, Irwin L. Mitral valve prolapse: comparative value of m-mode, two-dimensional and doppler echocardiography. Journal of the American College of Cardiology. 1983; 2(6):1219–1223 [PubMed: 6630792]
- 2.
- Abdulla AM, Frank MJ, Erdin RA, Jr., Canedo MI. Clinical significance and hemodynamic correlates of the third heart sound gallop in aortic regurgitation. A guide to optimal timing of cardiac catheterization. Circulation. 1981; 64(3):464–471 [PubMed: 7261278]
- 3.
- Abe Y, Ito M, Tanaka C, Ito K, Naruko T, Itoh A et al. A novel and simple method using pocket-sized echocardiography to screen for aortic stenosis. Journal of the American Society of Echocardiography. 2013; 26(6):589–596 [PubMed: 23602166]
- 4.
- Abernethy M, Bass N, Sharpe N, Grant C, Neutze J, Clarkson P et al. Doppler echocardiography and the early diagnosis of carditis in acute rheumatic fever. Australian and New Zealand Journal of Medicine. 1994; 24(5):530–535 [PubMed: 7848157]
- 5.
- Aggarwal P, Kumar R, Kandpal SD, Gupta D, Rai T. ZargisCardioscanTM aided heart murmurs recognition has high negative predictive values when correlated and validated with echocardiography: A potential dawn for valvular heart disease prevalence studies in rural India. Nepal Journal of Epidemiology. 2014; 4(3):363–369
- 6.
- Ahlstrom C, Ask P, Rask P, Karlsson JE, Nylander E, Dahlstrom U et al. Assessment of suspected aortic stenosis by auto mutual information analysis of murmurs. Annual International Conference of the IEEE Engineering in Medicine & Biology Society. 2007; 2007:1945–1948 [PubMed: 18002364]
- 7.
- Ahlstrom C, Hult P, Rask P, Karlsson JE, Nylander E, Dahlstrom U et al. Feature extraction for systolic heart murmur classification. Annals of Biomedical Engineering. 2006; 34(11):1666–1677 [PubMed: 17019618]
- 8.
- Ahmad MS, Mir J, Ullah MO, Shahid MLUR, Syed MA. An efficient heart murmur recognition and cardiovascular disorders classification system. Australasian Physical and Engineering Sciences in Medicine. 2019; 42(3):733–743 [PubMed: 31313129]
- 9.
- Ahmed MI, Sanagala T, Denney T, Inusah S, McGiffin D, Knowlan D et al. Mitral valve prolapse with a late-systolic regurgitant murmur may be associated with significant hemodynamic consequences. American Journal of the Medical Sciences. 2009; 338(2):113–115 [PubMed: 19561453]
- 10.
- Ahuja IM. Functional systolic murmurs. Indian Heart Journal. 1982; 34(4):241–244 [PubMed: 7141453]
- 11.
- Amano K, Sakamoto T, Hada Y, Takahashi H, Hasegawa I, Takahashi T et al. Clinical significance of early or mid-systolic apical murmurs: analysis by phonocardiography, two-dimensional echocardiography and pulsed Doppler echocardiography. Journal of Cardiography - Supplement. 1986; 16(2):433–443 [PubMed: 3585069]
- 12.
- Anjorin FI, Julian DG. A clinical and electrocardiographic method of assessing the severity of aortic stenosis. Transactions of the Royal Society of Tropical Medicine and Hygiene. 1984; 78(1):69–72 [PubMed: 6710577]
- 13.
- Ansari A. M-mode echocardiography in supine and standing position in control subjects and patients with auscultatory evidence of mitral valve prolapse but negative supine echocardiography: does sensitivity improve? Clinical Cardiology. 1985; 8(11):591–596 [PubMed: 4064383]
- 14.
- Ari S, Kumar P, Saha G. A robust heart sound segmentation algorithm for commonly occurring heart valve diseases. Journal of Medical Engineering and Technology. 2008; 32(6):456–465 [PubMed: 18663636]
- 15.
- Ari S, Sensharma K, Saha G. DSP implementation of a heart valve disorder detection system from a phonocardiogram signal. Journal of Medical Engineering and Technology. 2008; 32(2):122–132 [PubMed: 18297503]
- 16.
- Aronow WS, Kronzon I. Correlation of prevalence and severity of aortic regurgitation detected by pulsed Doppler echocardiography with the murmur of aortic regurgitation in elderly patients in a long-term health care facility. American Journal of Cardiology. 1989; 63(1):128–129 [PubMed: 2491772]
- 17.
- Aronow WS, Kronzon I. Correlation of prevalence and severity of valvular aortic stenosis determined by continuous-wave Doppler echocardiography with physical signs of aortic stenosis in patients aged 62 to 100 years with aortic systolic ejection murmurs. American Journal of Cardiology. 1987; 60(4):399–401 [PubMed: 3497570]
- 18.
- Aronow WS, Kronzon I. Prevalence and severity of valvular aortic stenosis determined by Doppler echocardiography and its association with echocardiographic and electrocardiographic left ventricular hypertrophy and physical signs of aortic stenosis in elderly patients. American Journal of Cardiology. 1991; 67(8):776–777 [PubMed: 1826070]
- 19.
- Attenhofer Jost CH, Turina J, Mayer K, Seifert B, Amann FW, Buechi M et al. Echocardiography in the evaluation of systolic murmurs of unknown cause. American Journal of Medicine. 2000; 108(8):614–620 [PubMed: 10856408]
- 20.
- Babaei S, Geranmayeh A. Heart sound reproduction based on neural network classification of cardiac valve disorders using wavelet transforms of PCG signals. Computers in Biology and Medicine. 2009; 39(1):8–15 [PubMed: 19081085]
- 21.
- Barron JT, Manrose DL, Liebson PR. Comparison of auscultation with two-dimensional and Doppler echocardiography in patients with suspected mitral valve prolapse. Clinical Cardiology. 1988; 11(6):401–406 [PubMed: 3396240]
- 22.
- Barzilai B, Gessler C, Jr., Perez JE, Schaab C, Jaffe AS. Significance of Doppler-detected mitral regurgitation in acute myocardial infarction. American Journal of Cardiology. 1988; 61(4):220–223 [PubMed: 3341197]
- 23.
- Baur LH, Veenstra L, Lenderink T, der Bolt CL, Winkens RA, Soomers FL et al. Open access echocardiography is feasible in the Netherlands. Netherlands Heart Journal. 2006; 14(11):361–365 [PMC free article: PMC2557303] [PubMed: 25696570]
- 24.
- Betriu A, Wigle ED, Felderhof CH, McLoughlin MJ. Prolapse of the posterior leaflet of the mitral valve associated with secundum atrial septal defect. American Journal of Cardiology. 1975; 35(3):363–369 [PubMed: 1114994]
- 25.
- Bloch A, Crittin J, Jaussi A. Should functional cardiac murmurs be diagnosed by auscultation or by Doppler echocardiography? Clinical Cardiology. 2001; 24(12):767–769 [PMC free article: PMC6655241] [PubMed: 11768739]
- 26.
- Bodegard J, Skretteberg PT, Gjesdal K, Pyorala K, Kjeldsen SE, Liestol K et al. Low-grade systolic murmurs in healthy middle-aged individuals: innocent or clinically significant? A 35-year follow-up study of 2014 Norwegian men. Journal of Internal Medicine. 2012; 271(6):581–588 [PubMed: 22061296]
- 27.
- Breisblatt WM, Cerqueira M, Francis CK, Plankey M, Zaret BL, Berger HJ. Left ventricular function in ischemic mitral regurgitation--a precatheterization assessment. American Heart Journal. 1988; 115(1 Pt 1):77–82 [PubMed: 3336988]
- 28.
- Brusco M, Nazeran H. Development of an Intelligent PDA-based Wearable Digital Phonocardiograph. Annual International Conference of the IEEE Engineering in Medicine & Biology Society. 2005; 4:3506–3509 [PubMed: 17280980]
- 29.
- Cantley PM, Hardwick DJ, Norris CA. Stand-alone Doppler echocardiography in the assessment of elderly patients with possible aortic stenosis. Cardiology in the Elderly. 1995; 3(3):213–216
- 30.
- Cha SD, Gooch AS, Maranhao V. Intracardiac phonocardiography in tricuspid regurgitation: relation to clinical and angiographic findings. American Journal of Cardiology. 1981; 48(3):578–583 [PubMed: 7270464]
- 31.
- Chabchoub S, Mansouri S, Ben Salah R. Detection of valvular heart diseases using impedance cardiography ICG. Biocybernetics and Biomedical Engineering. 2018; 38(2):251–261
- 32.
- Chambers J, Kabir S, Cajeat E. Detection of heart disease by open access echocardiography: a retrospective analysis of general practice referrals. British Journal of General Practice. 2014; 64(619):e105–111 [PMC free article: PMC3905412] [PubMed: 24567615]
- 33.
- Chen Y, Wang S, Shen CH, Choy FK. Matrix decomposition based feature extraction for murmur classification. Medical Engineering and Physics. 2012; 34(6):756–761 [PubMed: 22001643]
- 34.
- Chin JGJ, Van Herpen G, Vermarien H, Wang J, Koops J, Scheerlinck R et al. Mitral valve prolapse: A comparative study with two-dimensional and Doppler echocardiography, auscultation, conventional and esophageal phonocardiography. American Journal of Noninvasive Cardiology. 1992; 6(3):147–153
- 35.
- Choi S, Cho SH, Park CW, Shin JH. A novel cardiac spectral envelope extraction algorithm using a single-degree-of-freedom vibration model. Biomedical Signal Processing and Control. 2015; 18:169–173
- 36.
- Choi S, Jiang Z. Cardiac sound murmurs classification with autoregressive spectral analysis and multi-support vector machine technique. Computers in Biology and Medicine. 2010; 40(1):8–20 [PubMed: 19926081]
- 37.
- Choudhry NK, Etchells EE. Does this patient have aortic regurgitation? JAMA. 1999; 281(23):2231–2238 [PubMed: 10376577]
- 38.
- Cohen IS. Two-dimensional echocardiographic mitral valve prolapse: evidence for a relationship of echocardiographic morphology to clinical findings and to mitral annular size. American Heart Journal. 1987; 113(4):859–868 [PubMed: 3565237]
- 39.
- Cohen MV, Shah PK, Spindola-Franco H. Angiographic-echocardiographic correlation in mitral valve prolapse. American Heart Journal. 1979; 97(1):43–52 [PubMed: 758744]
- 40.
- Cohen MV, Spindola-Franco H. Correlation between left ventriculography, auscultation, and M-mode and two-dimensional echocardiography in mitral valve prolapse. Herz. 1988; 13(5):293–308 [PubMed: 3053382]
- 41.
- Comak E, Arslan A. A biomedical decision support system using LS-SVM classifier with an efficient and new parameter regularization procedure for diagnosis of heart valve diseases. Journal of Medical Systems. 2012; 36(2):549–556 [PubMed: 20703696]
- 42.
- Comak E, Arslan A, Turkoglu I. A decision support system based on support vector machines for diagnosis of the heart valve diseases. Computers in Biology and Medicine. 2007; 37(1):21–27 [PubMed: 16426598]
- 43.
- Come PC, Fortuin NJ, White RI, Jr., McKusick VA. Echocardiographic assessment of cardiovascular abnormalities in the Marfan syndrome. Comparison with clinical findings and with roentgenographic estimation of aortic root size. American Journal of Medicine. 1983; 74(3):465–474 [PubMed: 6829592]
- 44.
- Come PC, Riley MF, Carl LV, Nakao S. Pulsed Doppler echocardiographic evaluation of valvular regurgitation in patients with mitral valve prolapse: comparison with normal subjects. Journal of the American College of Cardiology. 1986; 8(6):1355–1364 [PubMed: 3537060]
- 45.
- Danielsen R, Nordrehaug JE, Vik-Mo H. Clinical and haemodynamic features in relation to severity of aortic stenosis in adults. European Heart Journal. 1991; 12(7):791–795 [PubMed: 1889444]
- 46.
- Darsee JR, Mikolich JR, Nicoloff NB, Lesser LE. Prevalence of mitral valve prolapse in presumably healthy young men. Circulation. 1979; 59(4):619–622 [PubMed: 421301]
- 47.
- Das P, Pocock C, Chambers J. The patient with a systolic murmur: severe aortic stenosis may be missed during cardiovascular examination. QJM. 2000; 93(10):685–688 [PubMed: 11029480]
- 48.
- Das R, Turkoglu I, Sengur A. Diagnosis of valvular heart disease through neural networks ensembles. Computer Methods and Programs in Biomedicine. 2009; 93(2):185–191 [PubMed: 18951649]
- 49.
- De Panfilis S, Moroni C, Peccianti M, Chiru OM, Vashkevich V, Parisi G et al. Multi-point accelerometric detection and principal component analysis of heart sounds. Physiological Measurement. 2013; 34(3):L1–9 [PubMed: 23400007]
- 50.
- Debbal SM, Bereksi-Reguig F. Time-frequency analysis of the second cardiac sound in phonocardiogram signals. Medical Physics. 2005; 32(9):2911–2917 [PubMed: 16266105]
- 51.
- Decoodt P, Peperstraete B, Kacenelenbogen R, Verbeet T, Bar JP, Telerman M. The spectrum of mitral regurgitation in idiopathic mitral valve prolapse: a color Doppler study. International Journal of Cardiac Imaging. 1990; 6(1):47–56 [PubMed: 2286773]
- 52.
- Deng YB, Takenaka K, Sakamoto T, Hada Y, Suzuki J, Shiota T et al. Follow-up in mitral valve prolapse by phonocardiography, M-mode and two-dimensional echocardiography and Doppler echocardiography. American Journal of Cardiology. 1990; 65(5):349–354 [PubMed: 2301263]
- 53.
- Denham MJ, Pomerance A, Hodkinson HM. Pathological validation of auscultation of the elderly heart. Postgraduate Medical Journal. 1977; 53(616):66–68 [PMC free article: PMC2496628] [PubMed: 876924]
- 54.
- Desjardins VA, Enriquez-Sarano M, Tajik AJ, Bailey KR, Seward JB. Intensity of murmurs correlates with severity of valvular regurgitation. American Journal of Medicine. 1996; 100(2):149–156 [PubMed: 8629648]
- 55.
- Devereux RB, Kramer-Fox R, Brown WT, Shear MK, Hartman N, Kligfield P et al. Relation between clinical features of the mitral prolapse syndrome and echocardiographically documented mitral valve prolapse. Journal of the American College of Cardiology. 1986; 8(4):763–772 [PubMed: 3760352]
- 56.
- Devereux RB, Kramer-Fox R, Kligfield P. Mitral valve prolapse: causes, clinical manifestations, and management. Annals of Internal Medicine. 1989; 111(4):305–317 [PubMed: 2667419]
- 57.
- Devereux RB, Kramer-Fox R, Shear MK, Kligfield P. Relation of panic attacks and midsystolic murmurs to over-diagnosis of mitral valve prolapse. Cardiovascular Reviews and Reports. 1994; 15(4):11–15
- 58.
- Dittmann H, Karsch KR, Seipel L. Diagnosis and quantification of aortic regurgitation by pulsed Doppler echocardiography in patients with mitral valve disease. European Heart Journal. 1987; 8 (Suppl C):53–57 [PubMed: 3678247]
- 59.
- Draper J, Subbiah S, Bailey R, Chambers JB. Murmur clinic: validation of a new model for detecting heart valve disease. Heart. 2019; 105(1):56–59 [PMC free article: PMC6317436] [PubMed: 30049836]
- 60.
- Ellison RC, Wagner HR, Weidman WH, Miettinen OS. Congenital valvular aortic stenosis: clinical detection of small pressure gradient. Prepared for the joint study on the joint study on the natural history of congenital heart defects. American Journal of Cardiology. 1976; 37(5):757–761 [PubMed: 1266742]
- 61.
- Esper RJ. Detection of mild aortic regurgitation by range-gated pulsed Doppler echocardiograhy. American Journal of Cardiology. 1982; 50(5):1037–1043 [PubMed: 7137029]
- 62.
- Etchells E, Bell C, Robb K. Does this patient have an abnormal systolic murmur? JAMA. 1997; 277(7):564–571 [PubMed: 9032164]
- 63.
- Etchells E, Glenns V, Shadowitz S, Bell C, Siu S. A bedside clinical prediction rule for detecting moderate or severe aortic stenosis. Journal of General Internal Medicine. 1998; 13(10):699–704 [PMC free article: PMC1500900] [PubMed: 9798818]
- 64.
- Fabich NC, Harrar H, Chambers JB. ‘Quick-scan’ cardiac ultrasound in a high-risk general practice population. British Journal of Cardiology. 2016; 23(1)
- 65.
- Fahad HM, Ghani Khan MU, Saba T, Rehman A, Iqbal S. Microscopic abnormality classification of cardiac murmurs using ANFIS and HMM. Microscopy Research and Technique. 2018; 81(5):449–457 [PubMed: 29363219]
- 66.
- Figueroa FE, Valdes P, Carrion F, Valdes F, Soledad Fernandez M, Wilson C et al. Prospective comparison of clinical and echocardiographic diagnosis of rheumatic carditis: Long term follow up of patients with subclinical disease. Heart. 2001; 85(4):407–410 [PMC free article: PMC1729708] [PubMed: 11250966]
- 67.
- Fink JC, Schmid CH, Selker HP. A decision aid for referring patients with systolic murmurs for echocardiography. Journal of General Internal Medicine. 1994; 9(9):479–484 [PubMed: 7996289]
- 68.
- Forssell G, Jonasson R, Orinius E. Identifying severe aortic valvular stenosis by bedside examination. Acta Medica Scandinavica. 1985; 218(4):397–400 [PubMed: 4083081]
- 69.
- Fukuda N, Oki T, Iuchi A, Tabata T, Manabe K, Kageji Y et al. Predisposing factors for severe mitral regurgitation in idiopathic mitral valve prolapse. American Journal of Cardiology. 1995; 76(7):503–507 [PubMed: 7653453]
- 70.
- Gahl K, Sutton R, Pearson M, Caspari P, Lairet A, McDonald L. Mitral regurgitation in coronary heart disease. British Heart Journal. 1977; 39(1):13–18 [PMC free article: PMC483187] [PubMed: 137731]
- 71.
- Gamaza-Chulian S, Serrano-Munoz B, Diaz-Retamino E, Giraldez A, Leon J, Carmona R et al. Physical examination in aortic stenosis. Correlation with echocardiographic and peripheral Doppler echocardiography findings. REC: CardioClinics. 2020; 55(3):139–146
- 72.
- Gardezi SKM, Myerson SG, Chambers J, Coffey S, d’Arcy J, Hobbs FDR et al. Cardiac auscultation poorly predicts the presence of valvular heart disease in asymptomatic primary care patients. Heart. 2018; 104(22):1832–1835 [PubMed: 29794244]
- 73.
- Gardin JM, Isner JM, Ronan JA, Jr., Fox SM, 3rd. Pseudoischemic “false positive” S-T segment changes induced by hyperventilation in patients with mitral valve prolapse. American Journal of Cardiology. 1980; 45(5):952–958 [PubMed: 7369145]
- 74.
- Gharehbaghi A, Borga M, Sjoberg BJ, Ask P. A novel method for discrimination between innocent and pathological heart murmurs. Medical Engineering and Physics. 2015; 37(7):674–682 [PubMed: 26003286]
- 75.
- Goli VD, Teague SM, Jamidar H, Prasad R, Thadani U. Acute aortic regurgitation in critically III patients: Importance of echo-Doppler studies. American Journal of Noninvasive Cardiology. 1993; 7(3):160–167
- 76.
- Grayburn PA, Smith MD, Handshoe R, Friedman BJ, DeMaria AN. Detection of aortic insufficiency by standard echocardiography, pulsed Doppler echocardiography, and auscultation. A comparison of accuracies. Annals of Internal Medicine. 1986; 104(5):599–605 [PubMed: 3963660]
- 77.
- Griffiths RA, Sheldon MG. The clinical significance of systolic murmurs in the elderly. Age and Ageing. 1975; 4(2):99–104 [PubMed: 1146671]
- 78.
- Guillermo JE, Ricalde Castellanos LJ, Sanchez EN, Alanis AY. Detection of heart murmurs based on radial wavelet neural network with Kalman learning. Neurocomputing. 2015; 164:307–317
- 79.
- Haikal M, Alpert MA, Whiting RB, Ahmad M, Kelly D. Sensitivity and specificity of M mode echocardiographic signs of mitral valve prolapse. American Journal of Cardiology. 1982; 50(1):185–190 [PubMed: 7091000]
- 80.
- Heidenreich PA, Schnittger I, Hancock SL, Atwood JE. A systolic murmur is a common presentation of aortic regurgitation detected by echocardiography. Clinical Cardiology. 2004; 27(9):502–506 [PMC free article: PMC6654102] [PubMed: 15471160]
- 81.
- Herold J, Schroeder R, Nasticzky F, Baier V, Mix A, Huebner T et al. Diagnosing aortic valve stenosis by correlation analysis of wavelet filtered heart sounds. Medical and Biological Engineering and Computing. 2005; 43(4):451–456 [PubMed: 16255426]
- 82.
- Hershman WY, Balady GJ, Moskowitz MA. Relationship between clinical and echocardiographic criteria for mitral valve prolapse: reevaluation employing the parasternal long-axis view1. American Journal of Noninvasive Cardiology. 1990; 4(2):91–96
- 83.
- Higuchi K, Sato K, Makuuchi H, Furuse A, Takamoto S, Takeda H. Automated diagnosis of heart disease in patients with heart murmurs: application of a neural network technique. Journal of Medical Engineering and Technology. 2006; 30(2):61–68 [PubMed: 16531343]
- 84.
- Hirata K, Triposkiadis F, Sparks E, Bowen J, Boudoulas H, Wooley CF. The Marfan syndrome: cardiovascular physical findings and diagnostic correlates. American Heart Journal. 1992; 123(3):743–752 [PubMed: 1539526]
- 85.
- Hoagland PM, Cook EF, Wynne J, Goldman L. Value of noninvasive testing in adults with suspected aortic stenosis. American Journal of Medicine. 1986; 80(6):1041–1050 [PubMed: 3728503]
- 86.
- Hoffmann A, Burckhardt D. Evaluation of systolic murmurs by Doppler ultrasonography. British Heart Journal. 1983; 50(4):337–342 [PMC free article: PMC481421] [PubMed: 6626396]
- 87.
- Homaeinezhad MR, Atyabi SA, Daneshvar E, Ghaffari A, Tahmasebi M. Discrete wavelet-aided delineation of PCG signal events via analysis of an area curve length-based decision statistic. Cardiovascular Engineering. 2010; 10(4):218–234 [PubMed: 21181267]
- 88.
- Ilmurzynska K. The protomesosystolic murmur as a sign of mitral incompetence. Polish Medical Science & History Bulletin. 1966; 9(4):167–169 [PubMed: 5920138]
- 89.
- Iversen K, Nielsen OW, Kirk V, Bay M, Hassager C, Boesgaard S et al. Heart murmur and N-terminal pro-brain natriuretic peptide as predictors of death in 2977 consecutive hospitalized patients. American Journal of the Medical Sciences. 2008; 335(6):444–450 [PubMed: 18552574]
- 90.
- Iversen K, Sogaard Teisner A, Dalsgaard M, Greibe R, Timm HB, Skovgaard LT et al. Effect of teaching and type of stethoscope on cardiac auscultatory performance. American Heart Journal. 2006; 152(1):85.e81–87 [PubMed: 16824835]
- 91.
- Jaffe WM, Roche AH, Coverdale HA, McAlister HF, Ormiston JA, Greene ER. Clinical evaluation versus Doppler echocardiography in the quantitative assessment of valvular heart disease. Circulation. 1988; 78(2):267–275 [PubMed: 3396165]
- 92.
- Jeyaseelan S, Goudie BM, Pringle SD, Donnan PT, Sullivan FM, Struthers AD. A critical re-appraisal of different ways of selecting ambulatory patients with suspected heart failure for echocardiography. European Journal of Heart Failure. 2007; 9(1):55–61 [PubMed: 16859991]
- 93.
- Jick H, Vasilakis C, Weinrauch LA, Meier CR, Jick SS, Derby LE. A population-based study of appetite-suppressant drugs and the risk of cardiac-valve regurgitation. New England Journal of Medicine. 1998; 339(11):719–724 [PubMed: 9731087]
- 94.
- Johnson GL, Humphries LL, Shirley PB, Mazzoleni A, Noonan JA. Mitral valve prolapse in patients with anorexia nervosa and bulimia. Archives of Internal Medicine. 1986; 146(8):1525–1529 [PubMed: 3460535]
- 95.
- Johnson GR, Adolph RJ, Campbell DJ. Estimation of the severity of aortic valve stenosis by frequency analysis of the murmur. Journal of the American College of Cardiology. 1983; 1(5):1315–1323 [PubMed: 6833671]
- 96.
- Johnson GR, Myers GS, Lees RS. Evaluation of aortic stenosis by spectral analysis of the murmur. Journal of the American College of Cardiology. 1985; 6(1):55–65 [PubMed: 4008788]
- 97.
- Kalinauskiene E, Razvadauskas H, Morse DJ, Maxey GE, Naudziunas A. A comparison of electronic and traditional stethoscopes in the heart auscultation of obese patients. Medicina. 2019; 55:94 [PMC free article: PMC6524010] [PubMed: 30959832]
- 98.
- Kambe T, Tada H, Miwa A, Nishimura K, Arakawa T, Fukui Y et al. Clinical study on the acoustic phenomena in coronary venous system with intracardiac phonocardiography. Japanese Heart Journal. 1977; 18(6):789–797 [PubMed: 564412]
- 99.
- Karar ME, El-Khafif SH, El-Brawany MA. Automated diagnosis of heart sounds using rule-based classification tree. Journal of Medical Systems. 2017; 41(4):60 [PubMed: 28247307]
- 100.
- Kavalier MA, Stewart J, Tavel ME. The apical A wave versus the fourth heart sound in assessing the severity of aortic stenosis. Circulation. 1975; 51(2):324–327 [PubMed: 1112012]
- 101.
- Kay E, Agarwal A. DropConnected neural networks trained on time-frequency and inter-beat features for classifying heart sounds. Physiological Measurement. 2017; 38(8):1645–1657 [PubMed: 28758641]
- 102.
- Kim D, Tavel ME. Assessment of severity of aortic stenosis through time-frequency analysis of murmur. Chest. 2003; 124(5):1638–1644 [PubMed: 14605028]
- 103.
- Kinney EL. Causes of false-negative auscultation of regurgitant lesions: a Doppler echocardiographic study of 294 patients. Journal of General Internal Medicine. 1988; 3(5):429–434 [PubMed: 2971789]
- 104.
- Kinney EL, Wright RJ. The natural history of unexpected Doppler mitral regurgitation. Angiology. 1989; 40(5):484–488 [PubMed: 2705650]
- 105.
- Koegelenberg S, Scheffer C, Blanckenberg MM, Doubell AF. Application of laser doppler vibrometery for human heart auscultation. Annual International Conference of the IEEE Engineering in Medicine & Biology Society. 2014; 2014:4479–4482 [PubMed: 25570986]
- 106.
- Kolibash AJ, Bush CA, Fontana MB, Ryan JM, Kilman J, Wooley CF. Mitral valve prolapse syndrome: analysis of 62 patients aged 60 years and older. American Journal of Cardiology. 1983; 52(5):534–539 [PubMed: 6613875]
- 107.
- Krivokapich J, Child JS, Dadourian BJ, Perloff JK. Reassessment of echocardiographic criteria for diagnosis of mitral valve prolapse. American Journal of Cardiology. 1988; 61(1):131–135 [PubMed: 3337001]
- 108.
- Kumar D, Carvalho P, Antunes M, Henriques J, Sa e Melo A, Habetha J. Heart murmur recognition and segmentation by complexity signatures. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 2008; 2008:2128–2132 [PubMed: 19163117]
- 109.
- Labovitz AJ, Nelson JG, Windhorst DM, Kennedy HL, Williams GA. Frequency of mitral valve dysfunction from mitral anular calcium as detected by Doppler echocardiography. American Journal of Cardiology. 1985; 55(1):133–137 [PubMed: 3966372]
- 110.
- Landau DA, Grossman A, Sherer Y, Harpaz D, Azaria B, Carter D et al. Physical examination and ECG screening in relation to echocardiography findings in young healthy adults. Cardiology. 2008; 109(3):202–207 [PubMed: 17726322]
- 111.
- Lee D, Chen CH, Hsu TL, Chiang CE, Wang SP, Chang MS. Reappraisal of cardiac murmurs related to aortic regurgitation. Chinese Medical Journal. 1995; 56(3):152–158 [PubMed: 8854436]
- 112.
- Leech G, Mills P, Leatham A. The diagnosis of a non-stenotic bicuspid aortic valve. British Heart Journal. 1978; 40(9):941–950 [PMC free article: PMC483514] [PubMed: 708534]
- 113.
- Lehmann KG, Francis CK, Dodge HT. Mitral regurgitation in early myocardial infarction. Incidence, clinical detection, and prognostic implications. TIMI Study Group. Annals of Internal Medicine. 1992; 117(1):10–17 [PubMed: 1596042]
- 114.
- Lembo NJ, Dell’Italia LJ, Crawford MH, O’Rourke RA. Bedside diagnosis of systolic murmurs. New England Journal of Medicine. 1988; 318(24):1572–1578 [PubMed: 2897627]
- 115.
- Liberfarb RM, Goldblatt A. Prevalence of mitral-valve prolapse in the Stickler syndrome. American Journal of Medical Genetics. 1986; 24(3):387–392 [PubMed: 3728560]
- 116.
- Liberthson R, Sheehan DV, King ME, Weyman AE. The prevalence of mitral valve prolapse in patients with panic disorders. American Journal of Psychiatry. 1986; 143(4):511–515 [PubMed: 3953893]
- 117.
- Limacher MC, Ware JA, O’Meara ME, Fernandez GC, Young JB. Tricuspid regurgitation during pregnancy: two-dimensional and pulsed Doppler echocardiographic observations. American Journal of Cardiology. 1985; 55(8):1059–1062 [PubMed: 3984867]
- 118.
- Lingamneni R, Cha SD, Maranhao V, Gooch AS, Goldberg H. Tricuspid regurgitation: clinical and angiographic assessment. Catheterization and Cardiovascular Diagnosis. 1979; 5(1):7–17 [PubMed: 455430]
- 119.
- Lippman SM, Ginzton LE, Thigpen T, Tanaka KR, Laks MM. Mitral valve prolapse in sickle cell disease. Presumptive evidence for a linked connective tissue disorder. Archives of Internal Medicine. 1985; 145(3):435–438 [PubMed: 3977511]
- 120.
- Lockhart PB, Crist D, Stone PH. The reliability of the medical history in the identification of patients at risk for infective endocarditis. Journal of the American Dental Association. 1989; 119(3):417–418, 421–412 [PubMed: 2527900]
- 121.
- Loperfido F, Biasucci LM, Pennestri F, Laurenzi F, Gimigliano F, Vigna C et al. Pulsed doppler echocardiographic analysis of mitral regurgitation after myocardial infarction. American Journal of Cardiology. 1986; 58(9):692–697 [PubMed: 3766410]
- 122.
- Lopez JF, Hanson S, Orchard RC, Tan L. Quantification of mitral valvular incompetence. Catheterization and Cardiovascular Diagnosis. 1985; 11(2):139–152 [PubMed: 3886155]
- 123.
- Loxdale SJ, Sneyd JR, Donovan A, Werrett G, Viira DJ. The role of routine pre-operative bedside echocardiography in detecting aortic stenosis in patients with a hip fracture. Anaesthesia. 2012; 67(1):51–54 [PubMed: 22023667]
- 124.
- Luisada AA, Portaluppi F, Knighten V. Evaluation of aortic systolic murmurs in the aged. Practical Cardiology. 1980; 6(11):61–68
- 125.
- Maglogiannis I, Loukis E, Zafiropoulos E, Stasis A. Support Vectors Machine-based identification of heart valve diseases using heart sounds. Computer Methods and Programs in Biomedicine. 2009; 95(1):47–61 [PubMed: 19269056]
- 126.
- Maisel AS, Atwood JE, Goldberger AL. Hepatojugular reflux: useful in the bedside diagnosis of tricuspid regurgitation. Annals of Internal Medicine. 1984; 101(6):781–782 [PubMed: 6497192]
- 127.
- Markiewicz W, Stoner J, London E, Hunt SA, Popp RL. Mitral valve prolapse in one hundred presumably healthy young females. Circulation. 1976; 53(3):464–473 [PubMed: 1248078]
- 128.
- Marsalese DL, Moodie DS, Vacante M, Lytle BW, Gill CC, Sterba R et al. Marfan’s syndrome: natural history and long-term follow-up of cardiovascular involvement. Journal of the American College of Cardiology. 1989; 14(2):422–428; discussion 429–431 [PubMed: 2526834]
- 129.
- Martin LD, Howell EE, Ziegelstein RC, Martire C, Whiting-O’Keefe QE, Shapiro EP et al. Hand-carried ultrasound performed by hospitalists: does it improve the cardiac physical examination? American Journal of Medicine. 2009; 122(1):35–41 [PubMed: 19114170]
- 130.
- McBrien ME, Heyburn G, Stevenson M, McDonald S, Johnston NJ, Elliott JR et al. Previously undiagnosed aortic stenosis revealed by auscultation in the hip fracture population--echocardiographic findings, management and outcome. Anaesthesia. 2009; 64(8):863–870 [PubMed: 19604190]
- 131.
- McClelland I, Mor-Avi V, Lang RM, Ward RP. Prevalence of clinically important abnormalities found on transthoracic echocardiography ordered for indication of heart murmur found on physical examination. Journal of the American Society of Echocardiography. 2020; 33(7):900–901 [PMC free article: PMC7924957] [PubMed: 32305176]
- 132.
- McGee S. Etiology and diagnosis of systolic murmurs in adults. American Journal of Medicine. 2010; 123(10):913–921.e911 [PubMed: 20920693]
- 133.
- McGee S. Physical examination and classification of murmur findings into patterns improved diagnosis of systolic murmurs in adult inpatients. Annals of Internal Medicine. 2011; 154(6):JC3–12 [PubMed: 21403063]
- 134.
- McKillop GM, Stewart DA, Burns JM, Ballantyne D. Doppler echocardiography in elderly patients with ejection systolic murmurs. Postgraduate Medical Journal. 1991; 67(794):1059–1061 [PMC free article: PMC2399202] [PubMed: 1800964]
- 135.
- Mehta M, Jacobson T, Peters D, Le E, Chadderdon S, Allen AJ et al. Handheld ultrasound versus physical examination in patients referred for transthoracic echocardiography for a suspected cardiac condition. JACC: Cardiovascular Imaging. 2014; 7(10):983–990 [PubMed: 25240450]
- 136.
- Menahem S, Johns JA, del Torso S, Goh TH, Venables AW. Evaluation of aortic valve prolapse in ventricular septal defect. British Heart Journal. 1986; 56(3):242–249 [PMC free article: PMC1236849] [PubMed: 3756041]
- 137.
- Meyers DG, McCall D, Sears TD, Olson TS, Felix GL. Duplex pulsed Doppler echocardiography in mitral regurgitation. Journal of Clinical Ultrasound. 1986; 14(2):117–121 [PubMed: 3081582]
- 138.
- Meyers DG, Olson TS, Hansen DA. Auscultation, M-mode echocardiography and pulsed Doppler echocardiography compared with angiography for diagnosis of chronic aortic regurgitation. American Journal of Cardiology. 1985; 56(12):811–812 [PubMed: 4061312]
- 139.
- Meyers DG, Sagar KB, Ingram RF, Paulsen WJ, Romhilt DW. Diagnosis of aortic insufficiency: comparison of auscultation and M-mode echocardiography to angiography. Southern Medical Journal. 1982; 75(10):1192–1194 [PubMed: 7123285]
- 140.
- Meziani F, Debbal SM. The packet wavelet transform in the analysis of phonocardiogram’s signals (aortic stenosis and mitral stenosis). International Journal of Medical Engineering and Informatics. 2018; 10(2):103–134
- 141.
- Meziani F, Debbal SM, Atbi A. Analysis of the pathological severity degree of aortic stenosis (AS) and mitral stenosis (MS) using the discrete wavelet transform (DWT). Journal of Medical Engineering and Technology. 2013; 37(1):61–74 [PubMed: 23173773]
- 142.
- Minich LL, Tani LY, Pagotto LT, Shaddy RE, Veasy LG. Doppler echocardiography distinguishes between physiologic and pathologic “silent” mitral regurgitation in patients with rheumatic fever. Clinical Cardiology. 1997; 20(11):924–926 [PMC free article: PMC6656070] [PubMed: 9383585]
- 143.
- Mishra M, Chambers JB, Jackson G. Murmurs in pregnancy: an audit of echocardiography. BMJ. 1992; 304(6839):1413–1414 [PMC free article: PMC1882173] [PubMed: 1628016]
- 144.
- Missri J, Agnarsson U, Sverrisson J. The clinical spectrum of tricuspid regurgitation detected by pulsed Doppler echocardiography. Angiology. 1985; 36(10):746–753 [PubMed: 3904535]
- 145.
- Movahed MR, Ebrahimi R. The prevalence of valvular abnormalities in patients who were referred for echocardiographic examination with a primary diagnosis of “heart murmur”. Echocardiography. 2007; 24(5):447–451 [PubMed: 17456061]
- 146.
- Munt B, Legget ME, Kraft CD, Miyake-Hull CY, Fujioka M, Otto CM. Physical examination in valvular aortic stenosis: correlation with stenosis severity and prediction of clinical outcome. American Heart Journal. 1999; 137(2):298–306 [PubMed: 9924164]
- 147.
- Nakamura T, Hultgren HN, Shettigar UR, Fowles RE. Noninvasive evaluation of the severity of aortic stenosis in adult patients. American Heart Journal. 1984; 107(5 Pt 1):959–966 [PubMed: 6232839]
- 148.
- Naseri H, Homaeinezhad MR. Detection and boundary identification of phonocardiogram sounds using an expert frequency-energy based metric. Annals of Biomedical Engineering. 2013; 41(2):279–292 [PubMed: 22956159]
- 149.
- National Institute for Health and Care Excellence. Developing NICE guidelines: the manual [updated 2020]. London. National Institute for Health and Care Excellence, 2014. Available from: http://www
.nice.org.uk /article/PMG20/chapter /1%20Introduction%20and%20overview [PubMed: 26677490] - 150.
- NHS England and NHS Improvement. 2018/19 National Cost Collection data. 2020. Available from: https://www
.england.nhs .uk/national-cost-collection/#ncc1819 Last accessed: 01/12/2020. - 151.
- NHS Improvement. 2017/18 Reference costs and guidance. 2018. Available from: https://improvement
.nhs .uk/resources/reference-costs/ Last accessed: 01/12/2020. - 152.
- Nienaber CA, von Kodolitsch Y, Nicolas V, Siglow V, Piepho A, Brockhoff C et al. The diagnosis of thoracic aortic dissection by noninvasive imaging procedures. New England Journal of Medicine. 1993; 328(1):1–9 [PubMed: 8416265]
- 153.
- Nitta M, Nakamura T, Hultgren HN, Bilisoly J, Marquess B. Noninvasive evaluation of the severity of aortic stenosis in adults. Chest. 1987; 91(5):682–687 [PubMed: 3568771]
- 154.
- Noah MS, Alharthy SS, Joharjy IA, Alsedairy RM. Prevalence of mitral valve prolapse in healthy Saudi women. International Journal of Cardiology. 1987; 14(1):65–69 [PubMed: 3804506]
- 155.
- Noble LM, Dabestani A, Child JS, Krivokapich J. Mitral valve prolapse. Cross sectional and provocative M-mode echocardiography. Chest. 1982; 82(2):158–163 [PubMed: 6124370]
- 156.
- Nygaard H, Thuesen L, Hasenkam JM, Pedersen EM, Paulsen PK. Assessing the severity of aortic valve stenosis by spectral analysis of cardiac murmurs (spectral vibrocardiography). Part I: Technical aspects. Journal of Heart Valve Disease. 1993; 2(4):454–467 [PubMed: 8269149]
- 157.
- Nygaard H, Thuesen L, Terp K, Hasenkam JM, Paulsens PK. Assessing the severity of aortic valve stenosis by spectral analysis of cardiac murmurs (spectral vibrocardiography). Part II: Clinical aspects. Journal of Heart Valve Disease. 1993; 2(4):468–475 [PubMed: 8269150]
- 158.
- Nylander E, Ekman I, Marklund T, Sinnerstad B, Karlsson E, Wranne B. Severe aortic stenosis in elderly patients. British Heart Journal. 1986; 55(5):480–487 [PMC free article: PMC1216385] [PubMed: 3707789]
- 159.
- Oh SL, Jahmunah V, Ooi CP, Tan RS, Ciaccio EJ, Yamakawa T et al. Classification of heart sound signals using a novel deep WaveNet model. Computer Methods and Programs in Biomedicine. 2020; 196:105604 [PubMed: 32593061]
- 160.
- Oladapo OO, Falase AO. Prevalence of mitral valve prolapse in healthy adult Nigerians as diagnosed by echocardiography. African Journal of Medicine and Medical Sciences. 2001; 30(1–2):13–16 [PubMed: 14510142]
- 161.
- Olive KE, Grassman ED. Mitral valve prolapse: comparison of diagnosis by physical examination and echocardiography. Southern Medical Journal. 1990; 83(11):1266–1269 [PubMed: 2237552]
- 162.
- Oweis RJ, Hamad H, Shammout M. Heart sounds segmentation utilizing teager energy operator. Journal of Medical Imaging and Health Informatics. 2014; 4(4):488–499
- 163.
- Panidis IP, McAllister M, Ross J, Mintz GS. Prevalence and severity of mitral regurgitation in the mitral valve prolapse syndrome: a Doppler echocardiographic study of 80 patients. Journal of the American College of Cardiology. 1986; 7(5):975–981 [PubMed: 3958380]
- 164.
- Papadaniil CD, Hadjileontiadis LJ. Efficient heart sound segmentation and extraction using ensemble empirical mode decomposition and kurtosis features. IEEE Journal of Biomedical & Health Informatics. 2014; 18(4):1138–1152 [PubMed: 25014929]
- 165.
- Parras JI, Escalante JM, Lange JM. Diagnostic ability of physical examination in aortic valve stenosis. Revista Argentina de Cardiología. 2015; 83(3):204–209
- 166.
- Patel A, Tomar NS, Bharani A. Utility of physical examination and comparison to echocardiography for cardiac diagnosis. Indian Heart Journal. 2017; 69(2):141–145 [PMC free article: PMC5414939] [PubMed: 28460759]
- 167.
- Patidar S, Pachori RB. Segmentation of cardiac sound signals by removing murmurs using constrained tunable-Q wavelet transform. Biomedical Signal Processing and Control. 2013; 8(6):559–567
- 168.
- Patnaik AN. The diastolic murmurs. Indian Journal of Cardiovascular Disease in Women - WINCARS. 2019; 4(4):228–232
- 169.
- Phoon CK. Estimation of pressure gradients by auscultation: an innovative and accurate physical examination technique. American Heart Journal. 2001; 141(3):500–506 [PubMed: 11231450]
- 170.
- Procacci PM, Savran SV, Schreiter SL, Bryson AL. Prevalence of clinical mitral-valve prolapse in 1169 young women. New England Journal of Medicine. 1976; 294(20):1086–1088 [PubMed: 1256525]
- 171.
- Rahko PS. Prevalence of regurgitant murmurs in patients with valvular regurgitation detected by Doppler echocardiography. Annals of Internal Medicine. 1989; 111(6):466–472 [PubMed: 2774371]
- 172.
- Rama BN, Mohiuddin SM, Esterbrooks DJ, Lynch JD, Holmberg MJ, Mooss AN et al. Correlation of intensity of aortic stenosis murmur by auscultation with echocardiographically determined transvalvular gradients and valve area. Journal of Noninvasive Cardiology. 1999; 3(1):25–31
- 173.
- Ranganathan N, Silver MD, Robinson TI, Wilson JK. Idiopathic prolapsed mitral leaflet syndrome. Angiographic-clinical correlations. Circulation. 1976; 54(5):707–716 [PubMed: 975464]
- 174.
- Reardon M, Hyland CM, Twomey C. The significance of basal systolic murmurs in the elderly. Irish Medical Journal. 1996; 89(6):230–231 [PubMed: 8996958]
- 175.
- Reichlin S, Dieterle T, Camli C, Leimenstoll B, Schoenenberger RA, Martina B. Initial clinical evaluation of cardiac systolic murmurs in the ED by noncardiologists. American Journal of Emergency Medicine. 2004; 22(2):71–75 [PubMed: 15011216]
- 176.
- Rispler S, Rinkevich D, Markiewicz W, Reisner SA. Missed diagnosis of severe symptomatic aortic stenosis. American Journal of Cardiology. 1995; 76(10):728–730 [PubMed: 7572638]
- 177.
- Roldan CA, Crawford MH. How valuable is the physical examination for detecting valvular heart disease? Cardiology Review. 1997; 14(4):51–54
- 178.
- Roldan CA, Gill EA, Shively BK. Prevalence and diagnostic value of precordial murmurs for valvular regurgitation in obese patients treated with dexfenfluramine. American Journal of Cardiology. 2000; 86(5):535–539 [PubMed: 11009272]
- 179.
- Roldan CA, Shively BK, Crawford MH. Value of the cardiovascular physical examination for detecting valvular heart disease in asymptomatic subjects. American Journal of Cardiology. 1996; 77(15):1327–1331 [PubMed: 8677874]
- 180.
- Rouhani M, Abdoli R. A comparison of different feature extraction methods for diagnosis of valvular heart diseases using PCG signals. Journal of Medical Engineering and Technology. 2012; 36(1):42–49 [PubMed: 22149293]
- 181.
- Rueda B, Arvan S. The relationship between clinical and echocardiographic findings in mitral valve prolapse. Herz. 1988; 13(5):277–283 [PubMed: 3053380]
- 182.
- Rujoie A, Fallah A, Rashidi S, Rafiei Khoshnood E, Seifi Ala T. Classification and evaluation of the severity of tricuspid regurgitation using phonocardiogram. Biomedical Signal Processing and Control. 2020; 57:101688
- 183.
- Saal AK, Gross BW, Franklin DW, Pearlman AS. Noninvasive detection of aortic insufficiency in patients with mitral stenosis by pulsed Doppler echocardiography. Journal of the American College of Cardiology. 1985; 5(1):176–181 [PubMed: 3964803]
- 184.
- Saeidi A, Almasganj F. Cardiac valves disorder classification based on active valves appearance periodic sequences tree of murmurs. Biomedical Signal Processing and Control. 2020; 57:101775
- 185.
- Saeidi A, Almasganj F, Shojaeifard M. Automatic cardiac phase detection of mitral and aortic valves stenosis and regurgitation via localization of active valves. Biomedical Signal Processing and Control. 2017; 36:11–19
- 186.
- Safara F. Cumulant-based trapezoidal basis selection for heart sound classification. Medical and Biological Engineering and Computing. 2015; 53(11):1153–1164 [PubMed: 26403300]
- 187.
- Safara F, Doraisamy S, Azman A, Jantan A, Abdullah Ramaiah AR. Multi-level basis selection of wavelet packet decomposition tree for heart sound classification. Computers in Biology and Medicine. 2013; 43(10):1407–1414 [PubMed: 24034732]
- 188.
- Safara F, Doraisamy S, Azman A, Jantan A, Ranga S. Wavelet packet entropy for heart murmurs classification. Advances in Bioinformatics Print. 2012; 2012:327269 [PMC free article: PMC3512213] [PubMed: 23227043]
- 189.
- Salah IB, De la Rosa R, Ouni K, Salah RB. Automatic diagnosis of valvular heart diseases by impedance cardiography signal processing. Biomedical Signal Processing and Control. 2020; 57:101758
- 190.
- Saraf K, Baek CI, Wasko MH, Zhang X, Zheng Y, Borgstrom PH et al. Fully-automated diagnosis of aortic stenosis using phonocardiogram-based features. Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine & Biology Society. 2019; 2019:6673–6676 [PubMed: 31947372]
- 191.
- Sarasin FP, Junod AF, Carballo D, Slama S, Unger PF, Louis-Simonet M. Role of echocardiography in the evaluation of syncope: a prospective study. Heart. 2002; 88(4):363–367 [PMC free article: PMC1767372] [PubMed: 12231593]
- 192.
- Sathesh K, Rajkumar S, Goyal NK. Least Mean Square (LMS) based neural design and metric evaluation for auscultation signal separation. Biomedical Signal Processing and Control. 2020; 59(101784)
- 193.
- Sbarbaro JA, Mehlman DJ, Wu L, Brooks HL. A prospective study of mitral valvular prolapse in young men. Chest. 1979; 75(5):555–559 [PubMed: 436482]
- 194.
- Schnittger I, Appleton CP, Hatle LK, Popp RL. Diastolic mitral and tricuspid regurgitation by Doppler echocardiography in patients with atrioventricular block: new insight into the mechanism of atrioventricular valve closure. Journal of the American College of Cardiology. 1988; 11(1):83–88 [PubMed: 3335709]
- 195.
- Sengur A. An expert system based on principal component analysis, artificial immune system and fuzzy k-NN for diagnosis of valvular heart diseases. Computers in Biology and Medicine. 2008; 38(3):329–338 [PubMed: 18177849]
- 196.
- Shry EA, Smithers MA, Mascette AM. Auscultation versus echocardiography in a healthy population with precordial murmur. American Journal of Cardiology. 2001; 87(12):1428–1430 [PubMed: 11397373]
- 197.
- Shub C. Echocardiography or auscultation? How to evaluate systolic murmurs. Canadian Family Physician. 2003; 49(FEB.):163–167 [PMC free article: PMC2214179] [PubMed: 12619738]
- 198.
- Sinha RK, Aggarwal Y, Das BN. Backpropagation artificial neural network classifier to detect changes in heart sound due to mitral valve regurgitation. Journal of Medical Systems. 2007; 31(3):205–209 [PubMed: 17622023]
- 199.
- Smith ER, Fraser DB, Purdy JW, Anderson RN. Angiographic diagnosis of mitral valve prolapse: correlation with echocardiography. American Journal of Cardiology. 1977; 40(2):165–170 [PubMed: 879021]
- 200.
- Spencer KT, Anderson AS, Bhargava A, Bales AC, Sorrentino M, Furlong K et al. Physician-performed point-of-care echocardiography using a laptop platform compared with physical examination in the cardiovascular patient. Journal of the American College of Cardiology. 2001; 37(8):2013–2018 [PubMed: 11419879]
- 201.
- Stanger D, Wan D, Moghaddam N, Elahi N, Argulian E, Narula J et al. Insonation versus auscultation in valvular disorders: Is aortic stenosis the exception? A systematic review. Annals of Global Health. 2019; 85(1):11 [PMC free article: PMC6634326] [PubMed: 31298821]
- 202.
- Strauss RH, Stevenson LW, Dadourian BA, Child JS. Predictability of mitral regurgitation detected by Doppler echocardiography in patients referred for cardiac transplantation. American Journal of Cardiology. 1987; 59(8):892–894 [PubMed: 3548306]
- 203.
- Streib EW, Meyers DG, Sun SF. Mitral valve prolapse in myotonic dystrophy. Muscle and Nerve. 1985; 8(8):650–653 [PubMed: 4058472]
- 204.
- Sun Z, Poh KK, Ling LH, Hong GS, Chew CH. Acoustic diagnosis of aortic stenosis. Journal of Heart Valve Disease. 2005; 14(2):186–194 [PubMed: 15792178]
- 205.
- Sztajzel JM, Picard-Kossovsky M, Lerch R, Vuille C, Sarasin FP. Accuracy of cardiac auscultation in the era of Doppler-echocardiography: A comparison between cardiologists and internists. International Journal of Cardiology. 2010; 138(3):308–310 [PubMed: 18762344]
- 206.
- Thiyagaraja SR, Dantu R, Shrestha PL, Chitnis A, Thompson MA, Anumandla PT et al. A novel heart-mobile interface for detection and classification of heart sounds. Biomedical Signal Processing and Control. 2018; 45:313–324
- 207.
- Thomas F, Flint N, Setareh-Shenas S, Rader F, Kobal SL, Siegel RJ. Accuracy and efficacy of hand-held echocardiography in diagnosing valve disease: A systematic review. American Journal of Medicine. 2018; 131(10):1155–1160 [PubMed: 29856962]
- 208.
- Thomas R, Ling Lieng H, Soh Cheong B, Gunawan E. Classification of severity of mitral regurgitation patients using multifractal analysis. Annual International Conference of the IEEE Engineering in Medicine & Biology Society. 2016; 2016:6226–6229 [PubMed: 28269674]
- 209.
- Thompson WR, Hayek CS, Tuchinda C, Telford JK, Lombardo JS. Automated cardiac auscultation for detection of pathologic heart murmurs. Pediatric Cardiology. 2001; 22(5):373–379 [PubMed: 11526409]
- 210.
- Thompson WR, Reinisch AJ, Unterberger MJ, Schriefl AJ. Artificial intelligence-assisted auscultation of heart murmurs: Validation by virtual clinical trial. Pediatric Cardiology. 2019; 40(3):623–629 [PubMed: 30542919]
- 211.
- Tofler OB, Tofler GH. Use of auscultation to follow patients with mitral systolic clicks and murmurs. American Journal of Cardiology. 1990; 66(19):1355–1358 [PubMed: 2244567]
- 212.
- Tokuda Y, Matayoshi T, Nakama Y, Kurihara M, Suzuki T, Kitahara Y et al. Cardiac auscultation skills among junior doctors: effects of sound simulation lesson. International Journal of Medical Education. 2020; 11:107–110 [PMC free article: PMC7246109] [PubMed: 32434152]
- 213.
- Tribouilloy CM, Enriquez-Sarano M, Mohty D, Horn RA, Bailey KR, Seward JB et al. Pathophysiologic determinants of third heart sounds: a prospective clinical and Doppler echocardiographic study. American Journal of Medicine. 2001; 111(2):96–102 [PubMed: 11498061]
- 214.
- Turkoglu I, Arslan A, Ilkay E. An intelligent system for diagnosis of the heart valve diseases with wavelet packet neural networks. Computers in Biology and Medicine. 2003; 33(4):319–331 [PubMed: 12791405]
- 215.
- Tutar HE, Ozcelik N, Atalay S, Derelli E, Ekici F, Imamoglu A. Clinical and echocardiography correlations in rheumatic fever: Evaluation of the diagnostic role of auscultation. Turk Kardiyoloji Dernegi Arsivi. 2005; 33(8):460–466
- 216.
- Uguz H. A biomedical system based on artificial neural network and principal component analysis for diagnosis of the heart valve diseases. Journal of Medical Systems. 2012; 36(1):61–72 [PubMed: 20703748]
- 217.
- Uretsky BF. Does mitral valve prolapse cause nonspecific symptoms? International Journal of Cardiology. 1982; 1(5–6):435–442 [PubMed: 7118310]
- 218.
- van Klei WA, Kalkman CJ, Tolsma M, Rutten CL, Moons KG. Pre-operative detection of valvular heart disease by anaesthetists. Anaesthesia. 2006; 61(2):127–132 [PubMed: 16430564]
- 219.
- Varadarajan P, Sharma S, Heywood JT, Pai RG. High prevalence of clinically silent severe mitral regurgitation in patients with heart failure: role for echocardiography. Journal of the American Society of Echocardiography. 2006; 19(12):1458–1461 [PubMed: 17138029]
- 220.
- Vargas-Barron J, Bialostozky D, Attie F, Pop G, Keirns C, Gil-Moreno M et al. Differential diagnosis of various causes of systolic-diastolic murmurs using pulsed Doppler echocardiography. American Heart Journal. 1984; 108(6):1507–1513 [PubMed: 6507244]
- 221.
- Voelkel AG, Kendrick M, Pietro DA, Parisi AF, Voelkel V, Greenfield D et al. Noninvasive tests to evaluate the severity of aortic stenosis. Limitations and reliability. Chest. 1980; 77(2):155–160 [PubMed: 7353408]
- 222.
- Voss A, Mix A, Hubner T. Diagnosing aortic valve stenosis by parameter extraction of heart sound signals. Annals of Biomedical Engineering. 2005; 33(9):1167–1174 [PubMed: 16133924]
- 223.
- Vourvouri EC, Poldermans D, Deckers JW, Parharidis GE, Roelandt JR. Evaluation of a hand carried cardiac ultrasound device in an outpatient cardiology clinic. Heart. 2005; 91(2):171–176 [PMC free article: PMC1768718] [PubMed: 15657226]
- 224.
- Wang WQ, Zhu HS, Yo GF. A noninvasive diagnostic method for aortic regurgitation by detecting carotid blood flow with bidirectional Doppler ultrasound. Ultrasound in Medicine and Biology. 1984; 10(5):597–600 [PubMed: 6241757]
- 225.
- Wann LS, Grove JR, Hess TR, Glisch L, Ptacin MJ, Hughes CV et al. Prevalence of mitral prolapse by two dimensional echocardiography in healthy young women. British Heart Journal. 1983; 49(4):334–340 [PMC free article: PMC481309] [PubMed: 6830667]
- 226.
- Ward JM, Baker DW, Rubenstein SA, Johnson SL. Detection of aortic insufficiency by pulse Doppler echocardiography. Journal of Clinical Ultrasound. 1977; 5(1):5–10 [PubMed: 138690]
- 227.
- Weis AJ, Salcedo EE, Stewart WJ, Lever HM, Klein AL, Thomas JD. Anatomic explanation of mobile systolic clicks: implications for the clinical and echocardiographic diagnosis of mitral valve prolapse. American Heart Journal. 1995; 129(2):314–320 [PubMed: 7832105]
- 228.
- Wong M, Tei C, Shah PM. Degenerative calcific valvular disease and systolic murmurs in the elderly. Journal of the American Geriatrics Society. 1983; 31(3):156–163 [PubMed: 6827016]
- 229.
- Xu M, McHaffie DJ. Nonspecific systolic murmurs: an audit of the clinical value of echocardiography. New Zealand Medical Journal. 1993; 106(950):54–56 [PubMed: 8437760]
- 230.
- Yamashita S, Tokushima M, Nakashima T, Katsuki NE, Tago M, Yamashita SI. Clinical status quo of infective endocarditis in a university hospital in Japan: A single-hospital-based retrospective cohort study. Internal Medicine. 2020; 59(12):1497–1507 [PMC free article: PMC7364241] [PubMed: 32536676]
Appendices
Appendix A. Review protocols
Review protocol for symptoms and signs indicating echocardiography referral (PDF, 270K)
Review protocol for symptoms and signs indicating direct referral to a specialist (PDF, 279K)
Table 34. Health economic review protocol (PDF, 195K)
Appendix B. Literature search strategies
Heart valve disease – search strategy 1 – signs and symptoms
This literature search strategy was used for the following review questions:
- In adults with suspected heart valve disease what symptoms and signs indicate referral (for example from primary care) for echocardiography?
- In adults with suspected heart valve disease, what symptoms and signs indicate direct referral (for example from primary care) to a specialist?
The literature searches for this review are detailed below and complied with the methodology outlined in Developing NICE guidelines: the manual.149
For more information, please see the Methodology review published as part of the accompanying documents for this guideline.
B.1. Clinical search literature search strategy (PDF, 271K)
B.2. Health Economics literature search strategy (PDF, 284K)
Appendix C. Diagnostic evidence study selection
Appendix D. Diagnostic evidence
D.1. Symptoms and signs indicating echocardiography referral (PDF, 1.1M)
D.2. Symptoms and signs indicating direct referral to a specialist (PDF, 743K)
Appendix E. Forest plots
E.1. Symptoms and signs for echocardiography referral (PDF, 260K)
E.2. Symptoms and signs for direct referral to a specialist (PDF, 230K)
Appendix F. Economic evidence study selection
Download PDF (257K)
Appendix G. Economic evidence tables
None.
Appendix H. Health economic model
No original economic modelling was undertaken.
Appendix I. Excluded studies
I.1. Symptoms and signs indicating echocardiography referral (PDF, 293K)
I.2. Symptoms and signs indicating direct referral to a specialist (PDF, 292K)
Appendix J. Research recommendations – full details
None
Appendix K. Expert witness testimony
Download PDF (150K)
Final
Evidence reviews underpinning recommendations 1.1.1 to 1.1.5 and 1.1.8 to 1.1.11 in the NICE guideline
These evidence reviews were developed by the National Guideline Centre, hosted by the Royal College of Physicians
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.
- Impact of telemedicine on the practice of pediatric cardiology in community hospitals.[Pediatrics. 2002]Impact of telemedicine on the practice of pediatric cardiology in community hospitals.Sable CA, Cummings SD, Pearson GD, Schratz LM, Cross RC, Quivers ES, Rudra H, Martin GR. Pediatrics. 2002 Jan; 109(1):E3.
- Employment of color Doppler echocardiographic video clips in a cardiac auscultation class with a cardiology patient simulator: discrepancy between students' satisfaction and learning.[BMC Med Educ. 2021]Employment of color Doppler echocardiographic video clips in a cardiac auscultation class with a cardiology patient simulator: discrepancy between students' satisfaction and learning.Kagaya Y, Tabata M, Arata Y, Kameoka J, Ishii S. BMC Med Educ. 2021 Dec 6; 21(1):600. Epub 2021 Dec 6.
- Should functional cardiac murmurs be diagnosed by auscultation or by Doppler echocardiography?[Clin Cardiol. 2001]Should functional cardiac murmurs be diagnosed by auscultation or by Doppler echocardiography?Bloch A, Crittin J, Jaussi A. Clin Cardiol. 2001 Dec; 24(12):767-9.
- Review Cardiac Murmurs in Children: A Challenge For The Primary Care Physician.[Curr Pediatr Rev. 2019]Review Cardiac Murmurs in Children: A Challenge For The Primary Care Physician.Kostopoulou E, Dimitriou G, Karatza A. Curr Pediatr Rev. 2019; 15(3):131-138.
- Review European Association of Cardiovascular Imaging/Cardiovascular Imaging Department of the Brazilian Society of Cardiology recommendations for the use of cardiac imaging to assess and follow patients after heart transplantation.[Eur Heart J Cardiovasc Imaging...]Review European Association of Cardiovascular Imaging/Cardiovascular Imaging Department of the Brazilian Society of Cardiology recommendations for the use of cardiac imaging to assess and follow patients after heart transplantation.Badano LP, Miglioranza MH, Edvardsen T, Colafranceschi AS, Muraru D, Bacal F, Nieman K, Zoppellaro G, Marcondes Braga FG, Binder T, et al. Eur Heart J Cardiovasc Imaging. 2015 Sep; 16(9):919-48. Epub 2015 Jul 2.
- Evidence review for symptoms and signs indicating need for echocardiography or d...Evidence review for symptoms and signs indicating need for echocardiography or direct referral to a specialist
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