Corresponding author: Panniyammakal Jeemon, Associate Professor, chronic disease epidemiology, Public Health Foundation of India, New Delhi, India; moc.liamg@nomeejp.
Introduction
Despite declining rates of age-standardized cardiovascular disease (CVD) mortality in high-income countries (HICs) over the past three decades, CVD remains the leading cause of death worldwide (GBD 2013 Mortality and Causes of Death Collaborators 2013). The estimated global cost of CVD in 2010 was US$863 billion, and this cost is expected to rise to US$1,044 billion by 2030 (World Economic Forum 2011). A large proportion of global CVD deaths (about 80 percent) occur in low- and middle-income countries (LMICs). CVD deaths are declining in HICs mainly because of a significant reduction in coronary heart disease (CHD) and in stroke mortality. This decline is largely attributable to changes in population-level risk factors and specific blood pressure (BP) and cholesterol treatments (Björck and others 2015; Davies, Smeeth, and Grundy 2007; Lewsey and others 2015). In this chapter, we discuss antihypertensive and cholesterol-lowering therapies and use of aspirin for primary prevention of CVD. Lifestyle measures such as reductions in smoking and improvements in diet and physical activity are covered in chapter 4 (Roy and others 2017), chapter 5 (Bull and others 2017), and chapter 7 (Malik and Hu 2017) in this volume. Similarly, therapies to treat ischemic heart disease, therapies to treat chronic heart failure, and therapies to reduce risk in patients with type 1 and type 2 diabetes are described, respectively, in chapter 8 (Dugani and others 2017), chapter 10 (Huffman and others 2017), and chapter 12 (Ali and others 2017) in this volume.
This chapter highlights new findings about the global burden of high BP and lipids. It discusses changing thresholds and targets for BP- and lipid-lowering therapies in the context of newly available evidence from randomized controlled trials (RCTs) and meta-analyses of RCTs. Attention is paid to the adverse effect on blood glucose associated with statin therapy and statin-induced diabetes, the role of ezetimibe in reducing low-density lipoprotein (LDL) cholesterol, and the uncertainty about the risks of aspirin in primary prevention of CVD. We also discuss the available evidence in the context of resource-poor settings and make recommendations.
Burden of High Blood Pressure
Globally, the population mean BP level has decreased marginally since 1980. From 1980 to 2008, global mean age-adjusted systolic blood pressure (SBP) declined from 130.5 millimeters of mercury (mmHg, a measure of pressure) to 128.1 mmHg in men and from 127.2 to 124.4 mmHg in women (Danaei and others 2011). Similarly, the global age-adjusted prevalence of uncontrolled hypertension decreased to 29 percent from 33 percent in men and to 25 percent from 29 percent in women. Despite these changes, high BP has gone from being the fourth-highest risk factor in 1990, as quantified by attributable disability-adjusted life years (DALYs), to the highest risk factor in 2010 (Murray and others 2013). This increase is primarily due to population growth and aging, especially in LMICs, and the consequent rise in the number of people worldwide with uncontrolled hypertension, that is, SBP ≥ 140 mmHg or diastolic blood pressure ≥ 90 mmHg. For example, the number of individuals with uncontrolled hypertension increased from 605 million to 978 million between 1980 and 2008 (Danaei and others 2011). SBP declined largely in HICs, while mean SBP rose in several regions, including East Africa, Oceania, and South and South-East Asia (Danaei and others 2011). Currently, high BP is one of the five leading risk factors of morbidity and mortality in all regions of the world, with the exception of Eastern Sub-Saharan Africa, Oceania, and Western Sub-Saharan Africa (Murray and others 2013).
Furthermore, raised BP (as opposed to hypertension) is among the leading global risk factors for mortality and is responsible for 9.4 million deaths annually (Lim and others 2012). It is independently attributable for at least 45 percent of deaths from ischemic heart disease (IHD) and 51 percent of deaths from stroke. Given this high burden and population aging, hypertension remains an issue of global concern. The estimated total direct and indirect cost of high BP in 2011 was US$46.4 billion and is expected to reach US$274 billion by 2030 (Mozaffarian and others 2015).
Burden of Hypercholesterolemia
Cholesterol is required to make hormones, vitamin D, and bile acids. Cholesterol also provides cell membrane support. Two kinds of lipoproteins carry cholesterol throughout the body: LDLs (known as bad cholesterol) and high-density lipoproteins (HDLs). A high LDL level often leads to a buildup of cholesterol in the walls of arteries. Globally, hypercholesterolemia, defined as total cholesterol ≥ 190 milligrams per deciliter or ≥ 5.0 millimoles per liter (mmol/L), causes an estimated 2.6 million deaths (4.5 percent of total deaths) and 29.7 million DALYs (2.0 percent of total DALYs) annually (Alwan 2011). More than one-fourth (29 percent) of DALYs from IHD can be attributed to high total cholesterol, which is the second-leading physiological risk factor for IHD after high BP (Lim and others 2012). Physiologically, LDL is critical to the generation of atherosclerosis.
Mean total serum cholesterol decreased marginally between 1980 and 2008 globally, falling less than 0.1 mmol/L per decade in men and women (Farzadfar and others 2011). The mean age-adjusted total cholesterol level decreased from 4.72 to 4.64 mmol/L (95 percent confidence interval [CI] 4.51–4.76 mmol/L) for men and from 4.83 to 4.76 mmol/L (95 percent CI 4.62–4.91 mmol/L) for women between 1980 and 2008.
In 1990, total cholesterol was ranked fourteenth as a risk factor, as quantified by DALYs, and remained little changed in 2010, when it was ranked fifteenth (Lim and others 2012). The prevalence of elevated total cholesterol was highest in the World Health Organization (WHO) European Region (54 percent for both sexes), followed by the Americas (48 percent for both sexes); the lowest percentages were in the Africa and South-East Asia regions (23 percent and 30 percent, respectively) (Alwan 2011).
Interventions for the Primary Prevention of Cardiovascular Disease
CVD encompasses a broad range of vascular conditions comprising IHD (including stable and unstable angina, nonfatal myocardial infarction, and coronary death); heart failure; cardiac arrest; ventricular arrhythmias; sudden cardiac death; rheumatic heart disease; transient ischemic attack; ischemic stroke; subarachnoid and intracerebral hemorrhage; abdominal aortic aneurysm; peripheral artery disease; and congenital heart disease. CHD accounts for the greatest proportion of CVD globally (Mozaffarian and others 2015). However, the incidence and prevalence of CHD vary greatly according to geographic region, gender, and ethnic background. After CHD, cerebrovascular disease or stroke is the second-highest cause of CVD mortality. We focus largely on these two conditions.
Over the past three to four decades, multiple longitudinal follow-up studies have provided valuable insights into the natural history and risk factors associated with the development of and prognosis for CVD (D’Agostino and others 2001; Klag and others 1993; Stamler, Stamler, and Neaton 1993; Vasan and others 2001). More recent data have updated and refined these findings (IOM 2010; Wong 2014). The results of these studies have laid a strong foundation for intervention studies and clinical trials aimed at primary prevention and have resulted in the evolution of hypertension and cholesterol management guidelines. Primary prevention focuses mainly on the modification of risk factors through lifestyle changes, and pharmacological treatment aims to reduce the lifetime risk of developing CHD and stroke. Effective treatments are available to control most cases of hypertension and hypercholesterolemia and thereby to reduce consequent CVD. Although cost-effective interventions are available globally for reducing cardiovascular (CV) risk by addressing hypertension and hypercholesterolemia, there are major gaps in the implementation of current evidence-based interventions, particularly in resource-constrained settings. This section discusses the interventions targeting elevated BP and dyslipidemia (abnormal levels of lipids) for the primary prevention of CVD on the basis of current evidence.
Pharmacological Control of Blood Pressure
Several guidelines on hypertension management have been published since 2013. All current guidelines are consistent and unanimous in recommending nonpharmacological measures to lower BP (for example, weight loss, reduction in alcohol and salt intake) and to reduce CVD risk (for example, smoking cessation), although there are some differences in the details of these recommendations (for example, reduction in caffeine consumption) (James and others 2014; NICE 2011; WHO 2013).
The thresholds for initiating therapy are largely consistent across sets of guidelines (). The most common recommendation is a target of 140/90 mmHg with a few variations based on whether ambulatory BP measurement (ABPM) is used, the absolute estimated CV risk, and age group (James and others 2014; NICE 2011; WHO 2013). Similarly, targets are largely consistent (less than 140/90 mmHg), but again age range affects the recommended target in most guidelines. An exception is the Eighth Joint National Committee (JNC 8) recommendations, which are at odds with all other guidelines and which appear to lack sufficient support to merit compliance with them (James and others 2014).
Thresholds for Initiating Therapy. Blood pressure (mmHg), except where noted
Recent data from the SPRINT trial have given rise to the question of whether targets should fall further, but the atypical (although probably more robust) method of BP measurement used in that trial (automated unattended office blood pressure) probably exaggerates the benefits attributed to achieving SBP of less than 120 mmHg and more likely relates to SBP of less than 130 mmHg (SPRINT Research Group 2015). Meanwhile, several recent meta-analyses provide conflicting evidence on the merits of lowering BP targets (Thomopoulos, Parati, and Zanchetti 2014a, 2014b, 2014c, 2015; Weber and Lackland 2016; Zanchetti, Thomopoulos, and Parati 2015).
If nonpharmacological interventions have been insufficient to lower BP below the recommended thresholds, the agents recommended for lowering BP are largely restricted to seven drug classes—angiotensin-converting enzyme (ACE) inhibitors, angiotensin receptor blockers, beta blockers, alpha blockers, calcium channel blockers, diuretics, and mineralocorticoid receptor antagonists—with variably strong RCT-based evidence to support their use (). Recent statements and guidelines differ in their recommendations for the initial pharmacological treatment of hypertension and for which combinations of two drugs from distinct classes of drugs should be used. Some guidelines suggest initiating therapy with two drugs, particularly for persons with very high initial BP or high CV risk (AAFP 2014; Mancia and others 2013). However, initiating drugs from any of three drug classes—calcium channel blockers, diuretics, or renin-angiotensin system blockers—as first-line monotherapy or low-dose combinations of two drugs is more appropriate in low-resource settings for treating hypertension in general (Bronsert and others 2013).
Pharmacological Agents Available as Generics for Controlling Hypertension and Reducing Cardiovascular Risk in Many Countries.
Combination Therapy for Management of Hypertension
Population and trial-based evidence shows that the majority of patients with hypertension require at least two antihypertensive agents to control BP to currently recommended targets ().
Average Number of Antihypertensive Agents Used to Try to Reach Blood Pressure Goal in Several Hypertension Trials.
Limited RCT-based evidence is available with which to evaluate the best combination of two antihypertensive agents, as reflected in the inconsistent recommendations of recent hypertension guidelines (). However, most guidelines recommend at least one of the possible combinations of three classes: renin-angiotensin system blockers, calcium channel blockers, and diuretics (Weber and others 2014).
Recommended Two-Drug Combinations of Antihypertensive Drugs.
For several logical reasons, albeit not based on definitive RCT data, several sets of guidelines (James and others 2014; Mancia and others 2013) recommend initiating therapy with two drugs. The WHO list of essential medicines for antihypertensive drugs includes calcium channel blockers (amlodipine); beta blockers (atenolol, bisoprolol, carvedilol, metoprolol); ACE inhibitors (enalapril); hydrochlorothiazide; hydralazine; and methyldopa. The Sustainable Developmental Goals of the United Nations envisage making these essential medicines available in at least 80 percent of health care facilities by 2030. Similarly, when a combination of drugs is indicated, the use of single-pill combinations of drugs (frequently and often inaccurately described as fixed-dose combinations) is usually recommended in guidelines (AAFP 2014; WHO 2007) based on largely observational data and logic.
Antiplatelet Therapy
In the context of primary prevention, the RCT-based evidence regarding the level of CV risk at which aspirin (or other antiplatelet therapy) provides more good than harm remains uncertain. Trials with huge sample sizes and long-term follow-up are required to establish the evidence for aspirin in primary prevention. Halvorsen and others (2014) proposed a pragmatic step-wise approach for the use of aspirin in primary prevention. It includes assessing both short-term CV risk and bleeding risk simultaneously and then starting low-dose aspirin with caution if the CV risk is 10 percent to 20 percent. However, if there is no bleeding risk and the CV risk is more than 20 percent, aspirin should be started immediately. There is no need to start aspirin if the CV risk is less than 10 percent.
Pharmacotherapy for Lowering of Lipids
Extensive observational and experimental data have confirmed that elevated LDL cholesterol is not only an independent risk factor for the generation of atherosclerosis and major adverse CV events, but also the pivotal component of the atherosclerotic process (Libby 2000). Data are also compelling, but less consistent, in showing that low HDL cholesterol and high triglycerides are independent risk factors for the generation of major adverse CV events (Miller and others 2011; Toth 2005). Nevertheless, before the introduction of statin therapy in the 1990s, the benefits of lipid-lowering therapy were controversial and the use of lipid-lowering agents was not part of routine practice, except possibly for persons with familial hypercholesterolemia. However, since publication of the results of the Scandinavian Simvastatin Survival Study trial in 1994, which confirmed the significant benefits of lowering lipids with simvastatin for all-cause mortality (Olsson and others 1994), credible doubts about the benefits of statin use have largely disappeared.
The benefits of various statins have been clearly shown in the context of secondary and primary prevention—for strokes and CHD among men and women, persons of young and old age, persons with diabetes and hypertension, and irrespective of baseline CV risk or starting lipid levels (Baigent and others 2010). High-dose statin use has been shown to reduce intravascular atherosclerotic load. Meta-analyses suggest that for every 1.0 mmol/L reduction in LDL cholesterol, there is a 22 percent reduction in CHD mortality and a 29 percent reduction in nonfatal myocardial infarction, and no level below which benefits are not apparent (Baigent and others 2010).
The following lipid-lowering agents for clinical management are currently available:
Statins constitute the overwhelming majority of lipid-lowering agents in use and hence are the focus of this review.
Statins
The enzyme 3-hydroxy-3-methylglutaryl-coenzyme A (HMG-CoA) reductase is the rate-limiting enzyme for synthesizing cholesterol. HMG-CoA reductase inhibitors (statins) lower LDL cholesterol by, as their name suggests, intrahepatic inhibition of HMG-CoA reductase, which reduces cholesterol biosynthesis and leads to reduced blood levels of LDL cholesterol. Statins also induce small (about 5 percent) increases in serum HDL cholesterol levels and modest (about 20 percent) reductions in serum triglyceride levels.
Side effects (established in RCTs with more than 160,000 patients) include myopathy, rhabdomyolysis (breakdown of skeletal muscle), and increased rates of new-onset diabetes. On the basis of observational data, statin use has also been linked with several other side effects, including myalgia, cognitive impairment, erectile dysfunction, and cataract—none of which has been confirmed in the extensive RCT database. Nevertheless, the link between statin use and side effects has had an unfavorable and inappropriate impact on the use of statins (Schaffer and others 2015). In a review of 39 statin trials, stopping the use of statins as a result of perceived side effects was associated with a significant increase in CV and cerebrovascular events and death rates (Gomez Sandoval, Braganza, and Daskalopoulou 2011).
Statins are currently recommended for all patients with primary lipid disorders, established CVD, or diabetes and, in the context of primary prevention, persons at high levels of estimated absolute risk. The definition of high varies across guidelines but has been altered recently in both U.S. and U.K. guidelines to 10-year risk of 7.5 percent and 10 percent, respectively (Rabar and others 2014; Stone and others 2014). All guidelines recommend healthy diets and lifestyles to improve lipid profiles and reduce CV risk. However, guidelines differ in their recommendations regarding the pivotal lipid measurement—LDL cholesterol (Stone and others 2014) or non-HDL cholesterol (Rabar and others 2014)—and whether a target lipid level is appropriate for the use of statins (Stone and others 2014).
Other Lipid-Lowering Agents
Results of individual trials or meta-analyses have undermined the use of fish oils (Kwak and others 2012), fibrates (Katsiki and others 2013; Shipman, Strange, and Ramachandran 2016), CETP inhibitors (Nicholls and others 2011), and nicotinic acid (Kones and Rumana 2015; Tuteja and Rader 2014) for the treatment of dyslipidemia to prevent major adverse CV events. Fibrates, nicotinic acid, and fish oils remain in use by lipid specialists, but on a relatively tenuous basis, for subgroups of patients in whom low HDL cholesterol and high triglycerides predominate (Dierkes, Luley, and Westphal 2007; Shearer, Savinova, and Harris 2012; Zhao and others 2004).
The significant beneficial effect of ezetimibe versus placebo when added to a statin has established this agent as the only evidence-based add-on therapy to statins that helps prevent major adverse CV events in the context of secondary prevention.
In the near future, the first PCSK9 inhibitor to be used in addition to routine high-dose statin therapy may become readily available for secondary prevention purposes (Stoekenbroek, Kastelein, and Huijgen 2015; Yang 2015). The role of these agents in primary prevention where statins are insufficient or not tolerated remains to be established.
Polypills
The most cost-effective way to prevent major adverse CV events is to acknowledge the frequent coexistence of major risk factors—which has a critical impact on absolute risk of a CV event—and therefore to target persons at highest estimated CV risk. Hence, risk assessment is a routine component of the management of risk factors such as raised BP and, particularly, lipid levels (NICE 2011; Räber and others 2015; Stone and others 2014).
Some of the major determinants of CV risk, such as age and sex, are not “treatable,” and lipid levels may not be abnormal in a person with mild hypertension. However, if the person is older (for example, 69 years) and a male with mild hypertension, the estimated risk levels may be sufficient (for example, 20 percent risk in the next 10 years) to merit intervention with a statin. Indeed, British guidance recommends using a statin for almost all persons with treated hypertension or diabetes. This routine use of two or more agents has given rise to increased interest in the use of multicomponent pills (polypills). These formulations of two or more agents have been shown to increase compliance and to thereby generate better control of individual risk factors (Castellano and others 2014).
The polypill concept first received attention in an article by Wald and Law (2003). This article proposed the idea of a population-based approach to preventing CVD by giving a single polypill that included six components to all middle-aged persons, with the expectation of preventing 80 percent of heart attacks. The proposed components were a statin, aspirin, folate, and three low doses of BP-lowering agents: a diuretic, an ACE inhibitor, and a beta blocker. Since then, several trials have yielded strong evidence that the use of polypills improves adherence (Webster and others 2013). Additionally, improved adherence was found to be directly associated with a reduction in targeted risk factors. None of these initial trials was designed to detect a difference in outcomes, and no differences in fatal or nonfatal events were demonstrated. In a nested case control analysis of 13,029 patients with IHD in the United Kingdom, however, combinations of drugs such as a statin, aspirin, and a beta blocker rather than single agents decreased mortality in patients with known CVD (Hippisley-Cox and Coupland 2005).
Screening
CVDs are characterized by the commonality and presence of a wide overlap of modifiable and nonmodifiable risk factors. This section focuses on screening for potentially modifiable CVD risk factors, subclinical disease in asymptomatic persons, and clinical disease. Novel or emerging risk factors are not discussed. Screening approaches are guided by simplicity, wide availability, relatively low cost, applicability in resource-limited settings, noninvasiveness, and cost-effectiveness of selected tools; are supported by evidence when available; and are guided by detailed history and thorough clinical examinations whenever applicable.
Screening programs rely on several prerequisites. First, the condition being identified must be serious or lead to serious clinical outcomes; second, preclinical conditions should be common and asymptomatic; and third, early treatment of the condition detected through screening should have proven benefit (Wilson and Jungner 1968). Unfortunately, the inherent imperfection of clinical diagnostic tests introduces uncertainty into their interpretation. The magnitude of diagnostic uncertainty after any test may be quantified by information theory. However, understanding the theory of conditional probability (Bayes’s theorem) may not be necessary for applying a screening program effectively in asymptomatic individuals and in medical decision making.
Blood Pressure Screening
BP is a powerful, consistent, independent, and continuous risk factor for CVD and for cerebrovascular and renal diseases (Lewington and others 2002). Observational studies involving more than 1 million individuals have indicated that the number of deaths from CHD and stroke increases progressively and linearly from BP levels as low as 115 mmHg systolic and 75 mmHg diastolic upward in persons of all ages from 40 years to 89 years (Lewington and others 2002). Overall, mortality from CHD and stroke doubles for every 20 mmHg increase in systolic pressure and 10 mmHg increase in diastolic pressure (Franco, Oparil, and Carretero 2004). Correct measurement and interpretation of BP is therefore essential in the accurate diagnosis of hypertension. The use of properly calibrated and validated BP measurement devices with appropriate cuff sizes is essential.
Despite several limitations, office-based BP measurement (OBPM) is the most practical and frequently used method, but home (out-of-office) BP measurement (HBPM) and ABPM are increasingly used and are more valid measurement strategies (Breaux-Shropshire and others 2005). The British National Institute for Health and Care Excellence (NICE) guidelines recommend the use of ABPM to confirm the diagnosis of hypertension if OBPM is elevated, and HBPM when ABPM is unavailable or unaffordable (Krause and others 2011). However, in low-resource settings, the feasible approach currently remains OBPM.
The difference between systolic and diastolic BP (pulse pressure) is a measure of arterial stiffness. Pulse pressure is a significant predictive factor for CVD and chronic kidney disease (Franklin and others 1999; Malone and Reddan 2010). Estimation of pulse pressure is a simple and practical determinant of CV risk, provided that BP measurements have followed standardized approaches.
Lipid Screening
Lipids are perfect targets for CV screening programs, given their central role in atherosclerotic disorders leading to CHD and ischemic stroke. Furthermore, the relationship between atherogenic lipid fractions and subfractions and CHD is continuous, graded, and powerful, with lower thresholds in persons with diabetes mellitus. However, the decision to treat lipids should be guided not by lipid levels alone, but also by the overall CV risk, which is primarily influenced by age, sex, hypertension, smoking, and family history of premature CHD (that is, first-degree male relative with CHD before age 55 years or first-degree female relative with CHD before age 65 years) (Grundy and others 2004).
The most cost-effective method for predicting CHD is measuring the ratio of total cholesterol to HDL cholesterol (Lemieux and others 2001). This test is widely available, well standardized, and comparatively inexpensive and requires no prior fasting. The ratio of total cholesterol to HDL cholesterol is also widely validated in most CHD risk scores. Non-HDL cholesterol, derived by subtracting HDL cholesterol from total cholesterol, is a better predictor than LDL cholesterol. LDL cholesterol is calculated using the Friedewald equation (LDL cholesterol = total cholesterol minus HDL minus triglycerides times 0.2), which applies only to the fasting state and is affected by hypertriglyceridemia (Fukuyama and others 2008). Direct measurement of LDL cholesterol is technically more challenging and not sufficiently standardized. Besides, different subfractions of LDL cholesterol have different atherogenic potential but have not been shown to have sufficient incremental value to traditional risk factor assessments to merit routine adoption. It is doubtful whether the marginal improvements in CVD prediction gained by including combinations of apolipoprotien B and A1 justify the application of these tools for screening purposes (Di Angelantonio and others 2012). Triglycerides also appear to have relatively smaller predictive power once total cholesterol and HDL cholesterol have been measured and hence do not form a major component of most risk prediction models.
Various guidelines have given wide-ranging target age groups for lipid screening in men and women (NICE 2014; U.S. Preventive Services Task Force 2014). Overall, in low-resource settings, it appears rational to screen all persons for total cholesterol and HDL cholesterol in nonfasting state after age 40 years, but there is evidence to support screening of men and women who are at high risk of CHD starting at age 20 years. Repeat lipid measurements are recommended every three years in persons with atherogenic lipid profiles on prior measurement, but repeat measurement may be every five years in persons with initial lipid levels below the threshold for treatment.
Diabetes Mellitus, Prediabetes, and Gestational Diabetes Screening
Diabetes mellitus fulfills all of the requisites for screening. The methods of measuring glucose both for screening and diagnosing and for managing diabetes are identical. Blood glucose values span a continuum in any population, but there is a threshold above which the risk of potential adverse events is substantial. This threshold is discussed in chapter 12 in this volume (Ali and others 2017). Other methods of screening are listed in .
Screening for Subclinical Cardiovascular Disease and Other Conditions.
To manage CVD in low-resource settings, the WHO has developed a cost-effective package based on expert opinion (WHO 2002). The proposed strategy starts with CV risk screening by nonphysician health care workers using hypertension as an entry point, with the additional option for using diabetes or smoking as an entry point. This pragmatic approach to managing CVD in low-resource settings reduces absolute CV risk by targeting multiple risk factors at the same time. The potential improvement in health outcomes is manifold compared with the identification and treatment of individual risk factors.
Cost and Cost-Effectiveness of Interventions
Control of risk factors is paramount to the primary prevention of CVD and a major focus of primary health care. BP control has been a cornerstone of the reduction of stroke, IHD, and peripheral vascular disease for more than 50 years. Its cost-effectiveness is well accepted in all regions (Murray and others 2003; Rosendaal and others 2016; Rubinstein and others 2010; Wang and others 2001). Issues regarding the cost-effectiveness of such interventions have focused more recently on ways to improve the efficiency of identifying who most benefits from treatment, how to improve access to medications, how to improve adherence to medications, and how best to deliver medications. One trend has been to evaluate the overall risk of a patient compared with a single risk factor such as BP. Several studies have shown that it is more cost-effective to choose whom to treat for BP on the basis of the overall CVD risk rather than on the basis of BP or cholesterol level alone (Gaziano and others 2005; Lim and others 2007; Rosendaal and others 2016; Rubinstein and others 2010). Similar analyses have been done for cholesterol treatment, with guidelines in Europe, the United States, and the WHO moving to global risk-based assessments for recommendations regarding when to initiate statin-based medications. Work by Murray and others (2003) showed that efforts to lower cholesterol were cost-effective for persons at high cardiovascular risk (absolute risk more than 35 percent). Efforts to improve adherence to statins by writing longer prescriptions have also been shown to be cost saving and highly cost-effective in South Africa (Gaziano, Cho, and others 2015).
Another way to address the availability and affordability of medications for hypertension and dyslipidemia is to use a combination of generic CVD medications or a polypill for all adults with significant risk for CVD (Wald and Law 2003). This single intervention could reduce IHD events by as much as 50 percent. The potential advantages of a polypill for primary prevention include reduced need for dose titrations (Lonn and others 2010), improved adherence (Thom and others 2014), and availability of cheap generics in a single formulation.
Although several studies have shown reductions in risk factors such as BP and cholesterol (Yusuf and others 2009) and improvement in adherence in association with use of a polypill, no published study has shown reductions in IHD or stroke endpoints, although several studies are under way (Eguzo and Camazine 2013; Lonn and others 2010; Yusuf and others 2009). The use of combination therapy was shown to be cost-effective in LMICs for both primary and secondary prevention, with the best cost-effectiveness ratio for secondary prevention (Gaziano and others 2005; Lim and others 2007).
Although preventive treatment is available in many LMICs, less than 10 percent of the population receives the recommended care for primary prevention (Mendis and others 2005). Major barriers to improving care include crowded primary health centers with long wait times, scarcity of professional health staff, and high costs of traditional screening programs. In a community study in Bangladesh, Guatemala, Mexico, and South Africa, shifting the responsibility for screening to community health workers (CHWs) using a simple nonlaboratory screening tool was shown to be equally effective when screening for CVD risk as using nurses or physicians (Gaziano, Abrahams-Gessel, Denman, and others 2015). CHWs using the same tool in a mobile phone application could save an estimated 15,000–110,000 lives in Guatemala, Mexico, or South Africa at very cost-effective ratios. Using CHWs to screen for CVD using a simple tool is much more cost-effective when the primary health system is prepared and equipped to treat persons identified as high risk (Gaziano, Abrahams-Gessel, Surka, and others 2015). In countries such as South Africa, where at least half of persons identified as high risk get medications, the screening intervention was cost saving. Even in settings such as Guatemala, where fewer than 5 percent of eligible patients receive statins, the intervention was still attractive at US$565 per quality-adjusted life year (QALY). In Mexico, with initiation rates of 36 percent for hypertension medications and half that for statins, the incremental cost-effectiveness ratio for screening by CHWs was less than US$4 per QALY.
In general, population-based interventions (such as policies to increase excise taxes on tobacco, salt, and trans-fatty acids) are highly cost-effective even in resource-constrained settings because the price elasticity is higher in such settings than in high-income regions (Gaziano and Pagidipati 2013). Multidrug regimens for secondary prevention of CVD are cost-effective even in LMICs, according to WHO standards (Gaziano and Pagidipati 2013). Application of mHealth (mobile health) strategies and involvement of CHWs in CVD screening are considered to be scalable and cost-effective in LMIC settings (Gaziano, Abrahams-Gessel, Surka, and others 2015).
Research and Development
Box 22.1 summarizes important research gaps in the area of BP management, as proposed in two recent sets of guidelines.
Unresolved Issues in the Management of Hypertension Requiring Further Evidence from Randomized Controlled Trials.
In the area of lipids, given the outstanding benefits associated with the use of statins, future research and development should focus on what can be done for persons who are intolerant of statins and who require additional therapy when statins are inadequate to provide optimal control of dyslipidemia. While modest, albeit significant, benefits have been associated with the addition of ezetimibe to statin therapy (Cannon and others 2015), the results of trials of PCSK9 inhibitors are keenly awaited in this regard because of their large beneficial impact on LDL reduction.
Recommendations for Resource-Poor Settings
The World Heart Federation has outlined key strategies for controlling hypertension (Adler and others 2015). A key challenge in the management of hypertension and dyslipidemia is that both conditions are largely asymptomatic for a prolonged period leading up to a cardiovascular event. Therefore, to prevent primary CVD events, an effective screening program is crucial, although screening should be undertaken only when treatment is possible.
Screening for hypertension is simple and costs relatively little. At a minimum, patients attending clinics for any reason should be screened at least once a year (opportunistic screening); screening can also be undertaken opportunistically as part of antenatal care, in the workplace, or in mobile units specifically set up for the purpose. To avoid false positives, screening should ideally involve 24-hour or home-based methods, but in many low-resource settings these methods are not feasible. In low-resource settings, the minimum screening should be serial paired BP readings. In these cases, if the first measurement is normal, a second reading is unnecessary. If the difference between the two readings is greater than 10 mmHg, a third reading should be made and the mean of the last two used. In cases in which the average is greater than 160 mmHg, the patient should be treated immediately (Adler and others 2015). If the patient presents with other extreme conditions (for example, pain), caution should be used in interpreting high BP.
Cholesterol screening is more difficult because it requires the drawing of a blood sample for biochemical evaluation. Given the escalation of CV risk factors, especially after age 35 in men and age 45 in women, screening for lipid disorders is recommended in these groups. However, young men and women should be screened if they are at increased risk of CHD. In low-resource settings, screening should follow a cost-effective, benefit-based, tailored treatment strategy of lowering total cardiovascular risk.
Another long-term barrier to optimizing CVD prevention, given the asymptomatic nature of hypertension and dyslipidemia, is medication adherence. Health care professionals and patients need to understand that BP and cholesterol medications are nearly always required for life and generally should be continued even after achieving target BP and cholesterol levels. Health care professionals and patients need to be educated on nonpharmacological (including heart-healthy diet, weight control, moderate alcohol use, and physical activity) and locally appropriate pharmacological BP control methods. Health care professionals need to be educated on guidelines and, where appropriate, be trained in decision support systems (Anchala and others 2012).
Conclusions
Elevated BP and total cholesterol levels are leading physiological risk factors for IHD and stroke. Although proven, cost-effective, and acceptable medical and lifestyle interventions exist to prevent and treat hypertension and dyslipidemia, uptake is still unacceptably low in all countries, particularly in resource-poor settings. Guidelines for BP control recommend nonpharmacological measures to lower BP (including salt reduction and weight loss) and to reduce overall CVD risk (including smoking cessation and cholesterol lowering).
The pharmacological interventions recommended for lowering BP include seven drug classes—ACE inhibitors, angiotensin-receptor blockers, alpha blockers, beta blockers, calcium channel blockers, diuretics, and mineralocorticoid receptor antagonists. Although different guidelines make varying recommendations, lowering BP is most important; the means by which this is accomplished are secondary. Many guidelines suggest initiating therapy with two drugs, particularly for persons with high initial BP or high overall risk; this guideline is of particular importance in low-resource settings where it may be difficult to get patients to return for follow-up appointments.
Initiating pharmacological interventions in lipid management should be based not only on the absolute level of lipids but also on the level of total CV risk. It is important to adopt a more cost-effective, benefit-based treatment strategy of lowering total CV risk that is tailored to the individual. Pharmacological interventions recommended for high cholesterol include statins that are off patent, available in generic forms, effective, and safe (Macedo and others 2014).
Notes
The authors would like to acknowledge the contributions of Shuchi Anand and Debarati Mukherjee in drafting and editing this chapter.
World Bank Income Classifications as of July 2014 are as follows, based on estimates of gross national income (GNI) per capita for 2013:
Low-income countries (LICs) = US$1,045 or less
Middle-income countries (MICs) are subdivided:
lower-middle-income = US$1,046 to US$4,125
upper-middle-income (UMICs) = US$4,126 to US$12,745
High-income countries (HICs) = US$12,746 or more.
References
AAFP (American Academy of Family Physicians). 2014. “Practice Guidelines: JNC 8 Guidelines for the Management of Hypertension in Adults.”
American Family Physician
90 (7): 503–4. [
PubMed: 25369633]
Adler A J, Prabhakaran D, Bovet P, Kazi D S, Mancia G., and others. 2015. “Reducing Cardiovascular Mortality through Prevention and Management of Raised Blood Pressure: A World Heart Federation Roadmap.”
Global Heart
10 (2): 111–22. [
PubMed: 26213298]
Ali M K, Siegel K R, Chandrasekar F, Tandon N, Aschner P., and others. 2017. “Diabetes: An Update on the Pandemic and Potential Solutions.” In Disease Control Priorities, Cardiovascular, Respiratory, and Related Disorders (third edition): Volume 5, edited by Prabhakaran D, Anand S, Gaziano T A, Mbanya J C, Wu Y, Nugent R, editors.
Washington, DC: World Bank.
Alwan A.
2011. Global Status Report on Noncommunicable Diseases 2010. Geneva: World Health Organization.
Anchala R, Pinto M P, Shroufi A, Chowdhury R, Sanderson J., and others. 2012. “The Role of Decision Support System (DSS) in Prevention of Cardiovascular Disease: A Systematic Review and Meta-Analysis.”
PLoS One
7 (10): e47064. [
PMC free article: PMC3468543] [
PubMed: 23071713]
Baigent C, Blackwell L, Emberson J, Holland L E, Reith C., and others. 2010. “Efficacy and Safety of More Intensive Lowering of LDL Cholesterol: A Meta-Analysis of Data from 170,000 Participants in 26 Randomised Trials.”
The Lancet
376 (9753): 1670–81. [
PMC free article: PMC2988224] [
PubMed: 21067804]
Bakris G L.
2004. “The Importance of Blood Pressure Control in the Patient with Diabetes.”
American Journal of Medicine
116 (Suppl 5A): 30S–38S. [
PubMed: 15019861]
Björck L, Capewell S, O’Flaherty M, Lappas G, Bennett K., and others. 2015. “Decline in Coronary Mortality in Sweden between 1986 and 2002: Comparing Contributions from Primary and Secondary Prevention.”
PLoS One
10 (5): e0124769. [
PMC free article: PMC4420282] [
PubMed: 25942424]
Blood Pressure Lowering Treatment Trialists’ Collaboration. 2000. “Effects of ACE Inhibitors, Calcium Antagonists, and Other Blood-Pressure-Lowering Drugs: Results of Prospectively Designed Overviews of Randomised Trials.”
The Lancet
356 (9246): 1955–64. [
PubMed: 11130523]
Breaux-Shropshire T L, Judd E, Vucovich L A, Shropshire T S, Singh S.
2005. “Does Home Blood Pressure Monitoring Improve Patient Outcomes? A Systematic Review Comparing Home and Ambulatory Blood Pressure Monitoring on Blood Pressure Control and Patient Outcomes.”
Integrated Blood Pressure Control
8 (July
3): 43–49. [
PMC free article: PMC4498728] [
PubMed: 26170715]
Bronsert M R, Henderson W G, Valuck R, Hosokawa P, Hammermeister K.
2013. “Comparative Effectiveness of Antihypertensive Therapeutic Classes and Treatment Strategies in the Initiation of Therapy in Primary Care Patients: A Distributed Ambulatory Research in Therapeutics Network (DARTNet) Study.”
Journal of the American Board of Family Medicine
26 (5): 529–38. [
PMC free article: PMC3918237] [
PubMed: 24004705]
Brunström M, Carlberg B.
2016. “Effect of Antihypertensive Treatment at Different Blood Pressure Levels in Patients with Diabetes Mellitus: Systematic Review and Meta-Analyses.”
BMJ
352 (February): i717. [
PMC free article: PMC4770818] [
PubMed: 26920333]
Bull F, Goenka S, Lambert V, Pratt M.
2017. “Physical Activity for the Prevention of Cardiometabolic Disease.” In Disease Control Priorities, Cardiovascular, Respiratory, and Related Disorders (third edition): Volume 5, edited by Prabhakaran D, Anand S, Gaziano T A, Mbanya J C, Wu Y, Nugent R, editors.
Washington, DC: World Bank.
Cannon C P, Blazing M A, Giugliano R P, McCagg A, White J A., and others. 2015. “Ezetimibe Added to Statin Therapy after Acute Coronary Syndromes.”
New England Journal of Medicine
372 (25): 2387–97. [
PubMed: 26039521]
Castellano J M, Sanz G, Peñalvo J L, Bansilal S, Fernández-Ortiz A., and others. 2014. “A Polypill Strategy to Improve Adherence.”
Journal of the American College of Cardiology
64 (20): 2071–82. [
PubMed: 25193393]
Chow C K, Teo K K, Rangarajan S, Islam S, Gupta R., and others. 2013. “Prevalence, Awareness, Treatment, and Control of Hypertension in Rural and Urban Communities in High-, Middle-, and Low-Income Countries.”
Journal of the American Medical Association
310 (9): 959–68. [
PubMed: 24002282]
D’Agostino R B Sr, Grundy S, Sullivan L M, Wilson P, CHD Risk Prediction Group. 2001. “Validation of the Framingham Coronary Heart Disease Prediction Scores: Results of a Multiple Ethnic Groups Investigation.”
Journal of the American Medical Association
286 (2): 180–87. [
PubMed: 11448281]
Dahlöf, B, Sever P S, Poulter N R, Wedel H, Beevers D G., and others. 2005. “Prevention of Cardiovascular Events with an Antihypertensive Regimen of Amlodipine Adding Perindopril as Required versus Atenolol Adding Bendroflumethiazide as Required, in the Anglo-Scandinavian Cardiac Outcomes Trial–Blood Pressure Lowering Arm (ASCOT-BPLA): A Multicentre Randomised Controlled Trial.”
The Lancet
366 (9489): 895–906. [
PubMed: 16154016]
Danaei G, Finucane M M, Lin J K, Singh G M, Paciorek C J., and others. 2011. “National, Regional, and Global Trends in Systolic Blood Pressure since 1980: Systematic Analysis of Health Examination Surveys and Epidemiological Studies with 786 Country-Years and 5.4 Million Participants.”
The Lancet
377 (9765): 568–77. [
PubMed: 21295844]
Davies A R, Smeeth L, Grundy E M D.
2007. “Contribution of Changes in Incidence and Mortality to Trends in the Prevalence of Coronary Heart Disease in the U.K.: 1996–2005.”
European Heart Journal
28 (17): 2142–47. [
PubMed: 17636307]
Di Angelantonio E, Gao P, Pennells L, Kaptoge S, Caslake M., and others. 2012. “Lipid-Related Markers and Cardiovascular Disease Prediction.”
Journal of the American Medical Association
307 (23): 2499–506. [
PMC free article: PMC4211641] [
PubMed: 22797450]
Dierkes J, Luley C, Westphal S.
2007. “Effect of Lipid-Lowering and Anti-Hypertensive Drugs on Plasma Homocysteine Levels.”
Vascular Health Risk Management
3 (1): 99–108. [
PMC free article: PMC1994037] [
PubMed: 17583180]
Dugani S B, Moran A E, Bonow R O, Gaziano T A.
2017. “Ischemic Heart Disease: Cost-Effective Management and Secondary Prevention.” In Disease Control Priorities, Cardiovascular, Respiratory, and Related Disorders (third edition): Volume 5 edited by Prabhakaran D, Anand S, Gaziano T A, Mbanya J C, Wu Y, Nugent R, editors.
Washington, DC: World Bank.
Eguzo K, Camazine B.
2013. “Beyond Limitations: Practical Strategies for Improving Cancer Care in Nigeria.”
Asian Pacific Journal of Cancer Prevention
14 (5): 3363–68. [
PubMed: 23803130]
Ettehad D, Emdin C A, Kiran A, Anderson S G, Callender T., and others. 2016. “Blood Pressure Lowering for Prevention of Cardiovascular Disease and Death: A Systematic Review and Meta-Analysis.”
The Lancet
387 (10022): 957–67. [
PubMed: 26724178]
Farzadfar F, Finucane M M, Danaei G, Pelizzari P M, Cowan M J., and others. 2011. “National, Regional, and Global Trends in Serum Total Cholesterol since 1980: Systematic Analysis of Health Examination Surveys and Epidemiological Studies with 321 Country-Years and 3.0 Million Participants.”
The Lancet
377 (9765): 578–86. [
PubMed: 21295847]
Franco V, Oparil S, Carretero O A.
2004. “Hypertensive Therapy: Part I.”
American Heart Association Journal
109 (24): 2953–58. [
PubMed: 15210612]
Franklin S S, Khan S A, Wong N D, Larson M G, Levy D.
1999. “Is Pulse Pressure Useful in Predicting Risk for Coronary Heart Disease? The Framingham Heart Study.”
Circulation
100 (4): 354–60. [
PubMed: 10421594]
Fukuyama N, Homma K, Wakana N, Kudo K, Suyama A., and others. 2008. “Validation of the Friedewald Equation for Evaluation of Plasma LDL-Cholesterol.”
Journal of Clinical Biochemistry and Nutrition
43 (1): 1–5. [
PMC free article: PMC2459246] [
PubMed: 18648653]
Gaziano T A, Abrahams-Gessel S, Denman C A, Montano C M, Khanam M., and others. 2015. “An Assessment of Community Health Workers’ Ability to Screen for Cardiovascular Disease Risk with a Simple, Non-Invasive Risk Assessment Instrument in Bangladesh, Guatemala, Mexico, and South Africa: An Observational Study.”
The Lancet Global Health
3 (9): e556–63. [
PMC free article: PMC4795807] [
PubMed: 26187361]
Gaziano T A, Abrahams-Gessel S, Surka S, Sy S, Pandya A., and others. 2015. “Cardiovascular Disease Screening by Community Health Workers Can Be Cost-Effective in Low-Resource Countries.”
Health Affairs
34 (9): 1538–45. [
PMC free article: PMC4795815] [
PubMed: 26355056]
Gaziano T A, Cho S, Sy S, Pandya A, Levitt N S., and others. 2015. “Increasing Prescription Length Could Cut Cardiovascular Disease Burden and Produce Savings in South Africa.”
Health Affairs
34 (9): 1578–85. [
PMC free article: PMC4816639] [
PubMed: 26355061]
Gaziano T A, Pagidipati N.
2013. “Scaling Up Chronic Disease Prevention Interventions in Lower- and Middle-Income Countries.”
Annual Review of Public Health
34 (January
7): 317–35. [
PMC free article: PMC3686269] [
PubMed: 23297660]
Gaziano T A, Steyn K, Cohen D J, Weinstein M C, Opie L H.
2005. “Cost-Effectiveness Analysis of Hypertension Guidelines in South Africa: Absolute Risk versus Blood Pressure Level.”
Circulation
112 (23): 3569–76. [
PubMed: 16330698]
GBD 2013 Mortality and Causes of Death Collaborators. 2013. “Global, Regional, and National Age–Sex Specific All-Cause and Cause-Specific Mortality for 240 Causes of Death, 1990–2013: A Systematic Analysis for the Global Burden of Disease Study 2013.”
The Lancet
385 (9963): 117–71. [
PMC free article: PMC4340604] [
PubMed: 25530442]
Gomez Sandoval Y-H, Braganza M V, Daskalopoulou S S.
2011. “Statin Discontinuation in High-Risk Patients: A Systematic Review of the Evidence.”
Current Pharmaceutical Design
17 (33): 3669–89. [
PubMed: 22074437]
Grundy S M, Cleeman J I, Merz C N, Brewer B, Clark H B L T. and others. 2004. “Implications of Recent Clinical Trials for the National Cholesterol Education Program Adult Treatment Panel III Guidelines.”
Circulation
110 (2): 104–6.
Halvorsenten S, Andreotti F, Berg J M, Cattaneo M, Coccheri S., and others. 2014. “Aspirin Therapy in Primary Cardiovascular Disease Prevention: A Position Paper of the European Society of Cardiology Working Group on Thrombosis.”
Journal of the American College of Cardiology
64 (3): 319–27. [
PubMed: 25034070]
Hippisley-Cox J, Coupland C.
2005. “Effect of Combinations of Drugs on All Cause Mortality in Patients with Ischaemic Heart Disease: Nested Case-Control Analysis.”
BMJ
330 (7499): 1059–63. [
PMC free article: PMC557227] [
PubMed: 15879390]
Huffman M D, Roth G A, Sliwa K, Yancy C W, Prabhakaran D.
2017. “Heart Failure.” In Disease Control Priorities, Cardiovascular, Respiratory, and Related Disorders (third edition): Volume 5, edited by Prabhakaran D, Anand S, Gaziano T A, Mbanya J C, Wu Y, Nugent R, editors.
Washington, DC: World Bank.
IOM (Institute of Medicine). 2010. Promoting Cardiovascular Health in the Developing World: A Critical Challenge to Achieve Global Health. Washington, DC: National Academies Press. [
PubMed: 20945571]
James P A, Oparil S, Carter B L, Cushman W C, Dennison-Himmelfarb C., and others. 2014. “Evidence-Based Guideline for the Management of High Blood Pressure in Adults: Report from the Panel Members Appointed to the Eighth Joint National Committee (JNC 8).”
Journal of the American Medical Association
311 (5): 507–20. [
PubMed: 24352797]
Katsiki N, Nikolic D, Montalto G, Banach M, Mikhailidis D P., and others. 2013. “The Role of Fibrate Treatment in Dyslipidemia: An Overview.”
Current Pharmaceutical Design
19 (17): 3124–31. [
PubMed: 23317397]
Klag M J, Ford D E, Mead L A, He J, Whelton P K., and others. 1993. “Serum Cholesterol in Young Men and Subsequent Cardiovascular Disease.”
New England Journal of Medicine
328 (5): 313–18. [
PubMed: 8419817]
Kones R, Rumana U.
2015. “Current Treatment of Dyslipidemia: Evolving Roles of Non-Statin and Newer Drugs.”
Drugs
75 (11): 1201–28. [
PubMed: 26169307]
Krause T, Lovibond K, Caulfield M, McCormack T, Williams B.
2011. “Management of Hypertension: Summary of NICE Guidance.”
BMJ
343 (August
25): d4891. [
PubMed: 21868454]
Kwak S M, Myung S-K, Lee Y J, Seo H G.
2012. “Efficacy of Omega-3 Fatty Acid Supplements (Eicosapentaenoic Acid and Docosahexaenoic Acid) in the Secondary Prevention of Cardiovascular Disease: A Meta-Analysis of Randomized, Double-Blind, Placebo-Controlled Trials.”
Archives of Internal Medicine
172 (9): 686–94. [
PubMed: 22493407]
Lemieux I, Lamarche B, Couillard C, Pascot A, Cantin B., and others. 2001. “Total Cholesterol/HDL Cholesterol Ratio vs. LDL Cholesterol/HDL Cholesterol Ratio as Indices of Ischemic Heart Disease Risk in Men.”
Archives of Internal Medicine
161 (22): 2685. [
PubMed: 11732933]
Lewington S, Clarke R, Qizilbash N, Peto R, Collins R.
2002. “Age-Specific Relevance of Usual Blood Pressure to Vascular Mortality: A Meta-Analysis of Individual Data for One Million Adults in 61 Prospective Studies.”
The Lancet
360 (9349): 1903–13. [
PubMed: 12493255]
Lewsey J D, Lawson K D, Ford I, Fox K A A, Ritchie L D., and others. 2015. “A Cardiovascular Disease Policy Model That Predicts Life Expectancy Taking into Account Socioeconomic Deprivation.”
Heart
101 (3): 201–8. [
PMC free article: PMC4316925] [
PubMed: 25324535]
Libby P.
2000. “Changing Concepts of Atherogenesis.”
Journal of Internal Medicine
247 (3): 349–58. [
PubMed: 10762452]
Lim S S, Gaziano T A, Gakidou E, Reddy K S, Farzadfar F., and others. 2007. “Prevention of Cardiovascular Disease in High-Risk Individuals in Low-Income and Middle-Income Countries: Health Effects and Costs.”
The Lancet
370 (9604): 2054–62. [
PubMed: 18063025]
Lim S S, Vos T, Flaxman A D D, Danaei G, Shibuya K., and others. 2012. “A Comparative Risk Assessment of Burden of Disease and Injury Attributable to 67 Risk Factors and Risk Factor Clusters in 21 Regions, 1990–2010: A Systematic Analysis for the Global Burden of Disease Study 2010.”
The Lancet
380 (9859): 2224–60. [
PMC free article: PMC4156511] [
PubMed: 23245609]
Lonn E M, Bosch J, López-Jaramillo P, Zhu J, Liu L., and others. 2016. “Blood-Pressure Lowering in Intermediate-Risk Persons without Cardiovascular Disease.”
New England Journal of Medicine
374 (21): 2009–20. [
PubMed: 27041480]
Lonn E, Bosch J, Teo K K, Pais P, Xavier D., and others. 2010. “The Polypill in the Prevention of Cardiovascular Diseases: Key Concepts, Current Status, Challenges, and Future Directions.”
Circulation
122 (20): 2078–88. [
PubMed: 21098469]
Macedo A F, Taylor F C, Casas J P, Adler A, Prieto-Merino D., and others. 2014. “Unintended Effects of Statins from Observational Studies in the General Population: Systematic Review and Meta-Analysis.”
BMC Medicine
12 (March): 51. [
PMC free article: PMC3998050] [
PubMed: 24655568]
Malik V, Hu F.
2017. “Weight Management.” In Disease Control Priorities, Cardiovascular, Respiratory, and Related Disorders (third edition): Volume 5 edited by Prabhakaran D, Anand S, Gaziano T A, Mbanya J C, Wu Y, Nugent R, editors.
Washington, DC: World Bank.
Malone A F, Reddan D N.
2010. “Pulse Pressure: Why Is It Important?”
Peritoneal Dialysis International
30 (3): 265–68. [
PubMed: 20424194]
Mancia G, Fagard R, Narkiewicz K, Redon J, Zanchetti A., and others. 2013. “ESH/ESC Guidelines for the Management of Arterial Hypertension: The Task Force for the Management of Arterial Hypertension of the European Society of Hypertension (ESH) and of the European Society of Cardiology (ESC).”
European Heart Journal
34 (28): 2159–219. [
PubMed: 23771844]
Marso S P, Daniels G H, Brown-Frandsen K, Kristensen P, Mann J F E. and others. 2016. “Liraglutide and Cardiovascular Outcomes in Type 2 Diabetes.”
New England Journal of Medicine
375 (4): 311–22. [
PMC free article: PMC4985288] [
PubMed: 27295427]
Mendis S, Abegunde D, Yusuf S, Ebrahim S, Shaper G., and others. 2005. “WHO Study on Prevention of REcurrences of Myocardial Infarction and StrokE (WHO-PREMISE).”
Bulletin of the World Health Organization
83 (11): 820–28. [
PMC free article: PMC2626468] [
PubMed: 16302038]
Miller M, Stone N J, Ballantyne C, Bittner V, Criqui M H., and others. 2011. “Triglycerides and Cardiovascular Disease: A Scientific Statement from the American Heart Association.”
Circulation
123 (20): 2292–333. [
PubMed: 21502576]
Mozaffarian D, Benjamin E J, Go A S, Arnett D K, Blaha M J., and others. 2015. “Heart Disease and Stroke Statistics—2015 Update: A Report from the American Heart Association.”
Circulation
131 (4): e29–322. [
PubMed: 25520374]
Murray C J L, Lauer J A, Hutubessy R C W, Niessen L, Tomijima N., and others. 2003. “Effectiveness and Costs of Interventions to Lower Systolic Blood Pressure and Cholesterol: A Global and Regional Analysis on Reduction of Cardiovascular-Disease Risk.”
The Lancet
361 (9359): 717–25. [
PubMed: 12620735]
Murray C J L, Vos T, Lozano R, Naghavi M, Flaxman A D., and others. 2013. “Disability-Adjusted Life Years (DALYs) for 291 Diseases and Injuries in 21 Regions, 1990–2010: A Systematic Analysis for the Global Burden of Disease Study 2010.”
The Lancet
380 (9859): 2197–23. [
PubMed: 23245608]
NICE (National Institute for Health and Care Excellence). 2011. “Hypertension in Adults: Diagnosis and Management.”
NICE, London.
NICE (National Institute for Health and Care Excellence). 2014. “Cardiovascular Disease: Risk Assessment and Reduction, Including Lipid Modification.”
NICE, London.
Nicholls S J, Brewer H B, Kastelein J J P, Krueger-Wang K A M D. and others. 2011. “Effects of the CETP Inhibitor Evacetrapib Administered as Monotherapy or in Combination with Statins on HDL and LDL Cholesterol: A Randomized Controlled Trial.”
Journal of the American Medical Association
306 (19): 2099–109. [
PubMed: 22089718]
Olsson A G, McMurray J, Thorgeirsson G, Spaulding C, Slattery J., and others. 1994. “Randomised Trial of Cholesterol Lowering in 4444 Patients with Coronary Heart Disease: The Scandinavian Simvastatin Survival Study (4S).”
The Lancet
344 (8934): 1383–89.
Rabar S, Harker M, O’Flynn N, Wierzbicki A S.
2014. “Lipid Modification and Cardiovascular Risk Assessment for the Primary and Secondary Prevention of Cardiovascular Disease: Summary of Updated NICE Guidance.”
BMJ
349 (July): g4356. [
PubMed: 25035388]
Räber L, Taniwaki M, Zaugg S, Kelbæk H, Roffi M. and others. 2015. “Effect of High-Intensity Statin Therapy on Atherosclerosis in Non-Infarct-Related Coronary Arteries (IBIS-4): A Serial Intravascular Ultrasonography Study.”
European Heart Journal
36 (8): 490–500. [
PubMed: 25182248]
Rosendaal N T A, Hendriks M E, Verhagen M D, Bolarinwa O A, Sanya E O., and others. 2016. “Costs and Cost-Effectiveness of Hypertension Screening and Treatment in Adults with Hypertension in Rural Nigeria in the Context of a Health Insurance Program.”
PLoS One
11 (6): e0157925. [
PMC free article: PMC4922631] [
PubMed: 27348310]
Roy A, Rawal I, Jabbour S, Prabhakaran D.
2017. “Tobacco and Cardiovascular Disease: A Summary of Evidence.” In Disease Control Priorities, Cardiovascular, Respiratory, and Related Disorders (third edition): Volume 5, edited by Prabhakaran D, Anand S, Gaziano T A, Mbanya J C, Wu Y, Nugent R, editors.
Washington, DC: World Bank.
Rubinstein A, Colantonio L, Bardach A, Caporale J, Martí S G., and others. 2010. “Estimation of the Burden of Cardiovascular Disease Attributable to Modifiable Risk Factors and Cost-Effectiveness Analysis of Preventative Interventions to Reduce This Burden in Argentina.”
BMC Public Health
10 (1): 627. [
PMC free article: PMC2970607] [
PubMed: 20961456]
Schaffer A L, Buckley N A, Dobbins T A, Banks E, Pearson S A.
2015. “The Crux of the Matter: Did the ABC’s Catalyst Program Change Statin Use in Australia?”
Medical Journal of Australia
202 (11): 591–94. [
PubMed: 26068693]
Staessen J A, Wang J-G, Thijs L, Casiglia E, Spolaore P., and others. 2001. “Cardiovascular Protection and Blood Pressure Reduction: A Meta-Analysis.”
The Lancet
358 (9290): 1305–15. [
PubMed: 11684211]
Stamler J, Stamler R, Neaton J D.
1993. “Blood Pressure, Systolic and Diastolic, and Cardiovascular Risks: U.S. Population Data.”
Archives of Internal Medicine
153 (5): 598–615. [
PubMed: 8439223]
Stone N J, Robinson J, Lichtenstein A H, Bairey C N, Lloyd-Jones Merz D M., and others. 2014. “2013 ACC/AHA Guideline on the Treatment of Blood Cholesterol to Reduce Atherosclerotic Cardiovascular Risk in Adults: A Report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines.”
Journal of the American College of Cardiology
129 (25, Suppl 2): S1–S45. [
PubMed: 24222016]
Thom S, Field J, Poulter N, Patel A, Prabhakaran D., and others. 2014. “Use of a Multidrug Pill in Reducing Cardiovascular Events (UMPIRE): Rationale and Design of a Randomised Controlled Trial of a Cardiovascular Preventive Polypill-Based Strategy in India and Europe.”
European Journal of Preventive Cardiology
21 (2): 252–61. [
PubMed: 23038750]
Thomopoulos C, Parati G, Zanchetti A.
2014a. “Effects of Blood Pressure Lowering on Outcome Incidence in Hypertension: 1; Overview, Meta-Analyses, and Meta-Regression Analyses of Randomized Trials.”
Journal of Hypertension
32 (12): 2285–95. [
PubMed: 25255397]
Thomopoulos C, Parati G, Zanchetti A. 2014b. “Effects of Blood Pressure Lowering on Outcome Incidence in Hypertension: 2; Effects at Different Baseline and Achieved Blood Pressure Levels—Overview and Meta-Analyses of Randomized Trials.”
Journal of Hypertension
32 (12): 2296–304. [
PubMed: 25259547]
Thomopoulos C, Parati G, Zanchetti A. 2014c. “Effects of Blood Pressure Lowering on Outcome Incidence in Hypertension: 3; Effects in Patients at Different Levels of Cardiovascular Risk—Overview and Meta-Analyses of Randomized Trials.”
Journal of Hypertension
32 (12): 2305–14. [
PubMed: 25259548]
Thomopoulos C, Parati G, Zanchetti A. 2015. “Effects of Blood Pressure Lowering on Outcome Incidence in Hypertension: 4; Effects of Various Classes of Antihypertensive Drugs—Overview and Meta-Analyses.”
Journal of Hypertension
33 (2): 195–211. [
PubMed: 25485720]
Toth P P.
2005. “Cardiology Patient Page: The Good Cholesterol, High-Density Lipoprotein.”
Circulation
111 (5): e89–e91. [
PubMed: 15699268]
Turnbull F, the Blood Pressure Lowering Treatment Trialists’ Collaboration. 2003. “Effects of Different Blood-Pressure-Lowering Regimens on Major Cardiovascular Events: Results of Prospectively-Designed Overviews of Randomised Trials.”
The Lancet
362 (9395): 1527–35. [
PubMed: 14615107]
Tuteja S, Rader D J.
2014. “Dyslipidaemia: Cardiovascular Prevention—End of the Road for Niacin?”
Nature Reviews Endocrinology
10 (11): 646–47. [
PubMed: 25178730]
U.S. Preventive Services Task Force. 2014. “Lipid Disorders in Adults (Cholesterol, Dyslipidemia): Screening.”
U.S. Preventive Services Task Force, Rockville, MD.
Vasan R S, Larson M G, Leip E P, Evans J C, O’Donnell C J., and others. 2001. “Impact of High-Normal Blood Pressure on the Risk of Cardiovascular Disease.”
New England Journal of Medicine
345 (18): 1291–97. [
PubMed: 11794147]
Wang Y C, Cheung A M, Bibbins-Domingo K, Prosser L A, Cook N R., and others. 2001. “Effectiveness and Cost-Effectiveness of Blood Pressure Screening in Adolescents in the United States.”
Journal of Pediatrics
158 (2): 257–64
e1–7. [
PMC free article: PMC4007283] [
PubMed: 20850759]
Weber M A, Lackland D T.
2016. “Hypertension: Cardiovascular Benefits of Lowering Blood Pressure.”
National Reviews Nephrology
12 (4): 202–4. [
PubMed: 26923205]
Weber M A, Schiffrin E L, White W B, Mann S, Lindholm L H., and others. 2014. “Clinical Practice Guidelines for the Management of Hypertension in the Community: A Statement by the American Society of Hypertension and the International Society of Hypertension.”
Journal of Hypertension
32 (1): 3–15. [
PubMed: 24270181]
Webster R, Patel A, Billot L, Cass A, Burch C., and others. 2013. “Prospective Meta-Analysis of Trials Comparing Fixed-Dose Combination-Based Care with Usual Care in Individuals at High Cardiovascular Risk: The SPACE Collaboration.”
International Journal of Cardiology
170 (1): 30–35. [
PubMed: 24144927]
WHO (World Health Organization). 2002. “WHO CVD-Risk Management Package for Low- and Medium-Resource Settings.”
WHO, Geneva.
WHO (World Health Organization). 2007. Prevention of Cardiovascular Disease: Guidelines for Assessment and Management of Cardiovascular Risk. Geneva: WHO.
WHO (World Health Organization). 2013. “A Global Brief on Hypertension: Silent Killer, Global Public Health Crisis.”
WHO, Geneva.
Williams B, MacDonald T M, Morant S, Webb D J, Sever P., and others. 2015. “Spironolactone versus Placebo, Bisoprolol, and Doxazosin to Determine the Optimal Treatment for Drug-Resistant Hypertension (PATHWAY-2): A Randomised, Double-Blind, Crossover Trial.”
The Lancet
386 (10008): 2059–68. [
PMC free article: PMC4655321] [
PubMed: 26414968]
Wilson J, Jungner Y.
1968. “Principles and Practice of Screening for Disease.”
Public Health Paper, WHO, Geneva.
Wong N D.
2014. “Epidemiological Studies of CHD and the Evolution of Preventive Cardiology.”
Nature Reviews Cardiology
11 (5): 276–89. [
PubMed: 24663092]
World Economic Forum. 2011. The Global Economic Burden of Non-Communicable Diseases. Geneva: World Economic Forum.
Wright J T, Williamson J D, Whelton P K, Snyder J K, Sink K M., and others. 2015. “A Randomized Trial of Intensive versus Standard Blood-Pressure Control.”
New England Journal of Medicine
373 (22): 2103–16. [
PMC free article: PMC4689591] [
PubMed: 26551272]
Xie X, Atkins E, Lv J, Bennett A, Neal B., and others. 2016. “Effects of Intensive Blood Pressure Lowering on Cardiovascular and Renal Outcomes: Updated Systematic Review and Meta-Analysis.”
The Lancet
387 (10017): 435–43. [
PubMed: 26559744]
Yang E.
2015. “PCSK9 Inhibitors: Are We on the Verge of a Breakthrough?”
Clinical Pharmacology and Therapeutics
98 (6): 590–601. [
PubMed: 26369501]
Yusuf S, Pais P, Afzal R, Xavier D, Teo K., and others. 2009. “Effects of a Polypill (Polycap) on Risk Factors in Middle-Aged Individuals without Cardiovascular Disease (TIPS): A Phase II, Double-Blind, Randomised Trial.”
The Lancet
373 (9672): 1341–51. [
PubMed: 19339045]
Zanchetti A, Thomopoulos C, Parati G.
2015. “Randomized Controlled Trials of Blood Pressure Lowering in Hypertension: A Critical Reappraisal.”
Circulation Research
116 (6): 1058–73. [
PubMed: 25767290]
Zhao X Q, Morse J S, Dowdy A A, Heise N, Deangelis D., and others. 2004. “Safety and Tolerability of Simvastatin Plus Niacin in Patients with Coronary Artery Disease and Low High-Density Lipoprotein Cholesterol (the HDL Atherosclerosis Treatment Study).”
American Journal of Cardiology
93 (3): 307–12. [
PubMed: 14759379]
Zinman B, Wanner C, Lachin J M, Fitchett D, Bluhmki E., and others. 2015. “Empagliflozin, Cardiovascular Outcomes, and Mortality in Type 2 Diabetes.”
New England Journal of Medicine
373 (22): 1–12. [
PubMed: 26378978]