Primary Prevention of Coronary Heart Disease



Primary Prevention of Coronary Heart Disease





Primary prevention of coronary heart disease (CHD) represents one of the most important preventive tasks in primary care, given the prevalence of the condition, its leading role as a cause of death in modern society, and the significant reductions in morbidity and mortality achievable with control of its major risk factors. Top priority is assigned to identification and treatment of those risk factors that independently confer major cardiovascular morbidity and mortality risk and whose successful management is associated with significant reductions in such risk. These conditions include hypertension (see Chapters 14, 19, and 26), hypercholesterolemia (see Chapters 15 and 27), diabetes (see Chapter 102), smoking (see Chapter 54), and obesity (see Chapters 10 and 233). As important as these risk factors are—and they are extremely important—they do not account for all observed cardiovascular risk. This has led to searches for additional CHD risk factors, generating much interest, both within the profession and among the public, and sometimes deflecting attention from focusing on the major risk factors. Knowing which risk factors to concentrate on and which treatment modalities are most efficacious to prescribe are key tasks for all primary care professionals.


ESTIMATING CORONARY HEART DISEASE RISK (1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24 and 25)


Criteria for Use of a Parameter in CHD Risk Assessment

Identifying CHD risk factors for use in risk stratification requires more than simple demonstration of a statistical association with risk. Additional elements suggested by experts include ease and reliability of measurement, independent contribution to coronary risk, contribution to reclassification and change in preventive therapy (especially among intermediate-risk persons), and high numbers of persons with abnormal values among intermediate-risk persons. Associations between clinical, genetic, or epidemiologic factors and CHD risk are being reported all the time, but rather few meet all of these criteria, which are used by the U.S. Preventive Services Task Force in their recommendations for screening for CHD.


The Framingham Risk Score

This score, based on landmark epidemiologic work extending over 60 years, remains the principle evidence-based means of estimating CHD event risk (myocardial infarction and coronary death). It estimates and stratifies the greater part of a 10-year CHD risk for American adults aged 20 to 79 years, identifying several categories: “high risk,” greater than 20% probability; “moderately high risk,” 10% to 20%; “moderate risk,” 6% to 10%; and “low risk,” less than 6%. Modified slightly over the ensuing decades, its principle determinants are gender, age, systolic blood pressure, treatment for hypertension, HDL cholesterol, total or low-density lipoprotein (LDL) cholesterol, and cigarette smoking. Diabetes mellitus and clinical evidence of peripheral vascular disease are considered coronary artery disease equivalents and grounds for classification as high risk. Online risk calculators based on the original mathematical formulae are available (e.g., http://hp2010.nhlbihin.net/ATPiii/calculator.asp) as is a simplified paper-based point system (www.framinghamheartstudy. org/risk/hrdcoronary.html). Compared to the online version, the simplified point system underestimates risk in about 5% of instances and overestimates risk in about 10%. Many current national guidelines for preventive measures (e.g., cholesterol lowering, blood pressure control, prescribing of aspirin) use the Framingham model to guide patient selection, type, and intensity of therapy (see later discussion and also Chapters 26 and 27).

The Framingham Risk Score provides a relatively short-term estimate of risk. A meta-analysis using Framingham CHD risk determinants (blood pressure, total cholesterol, smoking status, diabetes status) to estimate “lifetime” (i.e., to age 80 years) risk of cardiovascular death found rates for men and women with optimal risk-factor profiles at age 55 years of 4.7% and 6.4%, respectively, compared to 29.6% for men and 20.5% for women with two or more major risk factors.

The elderly are underrepresented in the Framingham model, but make up an increasingly important target population for primary CHD prevention. Development of a coronary risk prediction model for older persons has been attempted, but found to be no more accurate for risk stratification than the Framingham model, even when additional determinants of risk were added, such as ankle-brachial index (ABI), C-reactive protein (CRP), and LVH on electrocardiogram (ECG).

Use of Framingham Risk Score determinants (hypertension, smoking, hypercholesterolemia, and diabetes) can also predict risk of developing clinically significant peripheral artery disease in men. When these risk factors are used in combination, they effectively risk-stratify and account for 75% of observed risk.



Other Proposed Measures of CHD Risk

Because the Framingham Risk Score does not account for all observed CHD events, additional risk determinants have been sought and examined for incorporation into risk-stratification models.


Family History of Premature Coronary Heart Disease

A family history of premature CHD—in a first-degree relative before age 55 years in men and before age 65 years in women—is a well-recognized predictor of CHD risk. Its use in major risk-stratification scoring systems has been limited due to inconsistent availability of the data; nonetheless, many clinicians routinely inquire about it. When collected systematically in randomized trial and added to the Framingham score, such family history reclassified 4.8% of patients from intermediate to high risk, supporting the view that the effort should be considered in CHD risk stratification. Compared to the cost of detecting other genetically identified CHD risk factors (see later discussion), systematic use of family history is likely to be much less expensive and potentially more cost-effective.


C-Reactive Protein

Interest in the CRP as a risk-factor determinant derives from the growing appreciation for the role chronic inflammation plays in the pathophysiology of atherosclerosis. Being a wellestablished marker of inflammation, CRP measurement has attracted considerable interest as an adjunct to the Framingham score. Using a highly sensitive CRP assay (hs-CRP), a level greater than 3.0 mg/L independently confers a relative CHD risk of 1.58 compared to persons with a level less than 3.0 mg/L. Levels less than 1 have been termed “low,” 1-3 “intermediate,” and greater than 3 “high.” Although meta-analytic study finds that hs-CRP measurement does not meet the criteria for routine use in CHD risk determination, its selective application in persons already deemed intermediate risk can improve risk stratification and identify persons in need of more intensive lipid-lowering therapy; however, the degree of benefit may be modest. In meta-analytic study, use of the hs-CRP yielded a net reclassification improvement of 1.52%, estimated to prevent one additional CHD event over 10 years for every 400 to 500 intermediate-risk persons screened. This benefit is considerably more modest than that initially suspected when hs-CRP was first identified as an independent risk factor. So far, there are insufficient data to indicate that lowering the CRP reduces coronary event risk.


Homocysteine

The observation that some persons with otherwise unexplained atherosclerotic disease had elevated serum homocysteine concentrations triggered a period of intense interest in its detection and treatment, especially among persons with coronary artery disease (see Chapter 30). High levels of homocysteine are thought to be injurious to arterial walls, and initial epidemiologic study suggested a strong independent relationship, perhaps accounting for risk in persons with otherwise unexplained coronary events. However, subsequent investigations found the increase in relative risk to be more modest (on the order of 9% to 18%). Moreover, although treatment (e.g., with pharmacologic doses of vitamins B6 and B12 and folic acid) significantly reduces homocysteine elevations, it has failed to demonstrate reduction in coronary event rates and might even exacerbate risk (see Chapters 18, 30 and 31). Consequently, enthusiasm for routine homocysteine measurement and treatment has waned, and these are not recommended for primary prevention.


Coronary Artery Calcium Score

Arterial calcification is thought to be an active consequence of the atherosclerotic process rather than a passive result of aging. Mediators of atherogenesis appear capable of transforming vascular smooth muscle cells into osteoblast-like cells. The degree of coronary artery calcification, as determined by multidetector computed tomography, appears to correlate with degree of atherosclerotic burden, stimulating interest in this measure as a useful determinant of coronary event risk. However, lack of standardization of results, scarcity of population-based data, and little evidence for impact on reclassification of CHD risk (except perhaps in persons at intermediate risk) limit any conclusions about its usefulness as a risk assessment tool. Its role as a risk-stratification tool is the subject of ongoing study and some debate (see Chapter 36).


Serum 25-Hydroxyvitamin D and Other Measures of Mineral Metabolism

Some, but not all, epidemiologic and observational studies show an inverse relation between low 25-hydroxyvitamin D levels and CHD events. In those that do show a relationship, risk appears to diminish as serum levels approach low normal levels (20 to 30 ng/mL) and increase again at high vitamin D levels (>50 ng/mL). Evidence remains spotty for any CHD preventive benefit associated with vitamin D supplementation (except perhaps in persons with end-stage renal disease on dialysis). These inconsistent findings cause most experts to conclude that existing evidence is insufficient to prove a causal relationship between CHD events and vitamin D levels. Despite much interest in vitamin D, the absence of a well-defined causal relationship and a firmly established therapeutic benefit argue against measurement of 25-hydroxyvitamin D for CHD risk determination.

Associations between incidence of cardiovascular disease and other traditional markers of mineral metabolism (e.g., parathyroid hormone, phosphorus, and calcium-phosphorus product) have also been noted in epidemiologic studies. Newly discovered markers of mineral metabolism (e.g., fibroblast growth factor 23, fetuin-A, uncarboxylated matrix Gla protein) show promise in predicting risk of cardiovascular events in persons with end-stage renal disease and those with known cardiovascular disease.

Whether any of the markers of mineral metabolism will add predictive power for determining risk of primary coronary events and influence preventive efforts remains to be determined.


Lp(a) Lipoprotein

Lp(a) lipoprotein (also referred to as lipoprotein[a]) consists of an LDL particle bound to apolipoprotein(a). It is thought to transport proinflammatory oxidized phospholipids that contribute to atherosclerotic plaque formation. Serum levels appear to be genetically determined and correlate with coronary disease risk. Measurement does not require fasting, making its determination a potentially attractive alternative to standard lipid profiling for coronary risk determination. However, its use as a risk determinant remains uncertain at this time because of inadequate standardization of measurement, uncertain contribution to risk stratification, and limited data on efficacy of treatment.


Ankle-Brachial Index

Symptomatic peripheral vascular insufficiency is considered a marker of high risk for a CHD event, but evidence remains insufficient to indicate that the ABI (the systolic blood pressure at the dorsalis pedis pulse divided by the systolic blood pressure in the arm) confers independent predictive value for a CHD event or that it is useful in reclassification of intermediate-risk persons. The ABI does serve as a useful means of
detecting peripheral artery disease. A ratio of 0.9 or less suggests its presence; however, other major CHD risk factors (e.g., smoking, hypertension, hypercholesterolemia, diabetes) predict peripheral vascular disease with nearly equal accuracy.


Carotid Intima-Media Thickness

Ultrasound measurements of the intima-media thickness (IMT) in the common and internal carotid arteries commonly serve as surrogate indicators of atherosclerotic disease in research studies and have been examined as independent predictors of CHD events. The maximum thickness in the internal carotid is used as an indicator of plaque; the median thickness in the common carotid is viewed as an indicator of generalized atherosclerotic disease. While both have been found to be independent predictors of CHD events, only the maximum IMT of the internal carotid artery significantly improves the risk stratification provided by the Framingham score and does so only modestly (about 7% reclassified). Factors limiting its application are the modest contribution to reclassification, few data on the impact of such reclassification, and issues of standardization and technical difficulty of measurement.


Resting or Exercise Electrocardiography

Abnormal resting ECG findings (LVH, ST- and T-wave abnormalities) and abnormal exercise ECG findings (ST-segment depression, abnormal heart rate recovery, limited exercise tolerance) are associated with increased CHD risk (pooled hazard ratio estimates, 1.4 to 2.1) in asymptomatic persons; however, there are no data on improvement in outcomes or improvement in risk stratification over that provided by the Framingham score. Angiography rates were increased as a consequence of stress testing asymptomatic persons, with upward of 2.6% undergoing invasive investigation after exercise ECG.


Resting Heart Rate

An independent relationship between resting heart rate and risk of a CHD event has long been observed in epidemiologic studies as has a change in resting heart rate over time in a healthy population. In one large population study, a change in heart rate over 10 years from less than 70 beats/min to greater than 85 beats/min nearly doubled the CHD event risk compared to those whose rates never exceed 70 beats/min. As interesting as such findings are, there are no data on the efficacy of lowering the neither resting heart rate nor evidence that using the resting heart rate or change in resting heart rate over time enhances risk stratification.


Psychosocial Factors

Although many psychosocial and sociodemographic factors are associated with increased risk of CHD events, few have been formally studied for their ability to improve risk stratification and outcomes. Limitations include difficulty quantifying psychosocial factors, studying them in prospective systematic fashion, determining impact on risk stratification, and ability to successfully modify them. Among the psychosocial factors most rigorously studied are long working hours (>11 hours/day), which have been found to be additive to the predictive power of the Framingham score, but only modestly (4.7%); the measure improved risk stratification, but only for low-risk patients; no data are available on the impact of reducing work hours. Among other potentially important risk factors under intense study is access to health insurance.


Thyroid Parameters

Estimates of the relative risk associated with subclinical hypothyroidism (as determined by TSH and thyroid hormone indices) range from 1.08 to 1.20, slightly higher for persons less

than 65 years of age. Similar degrees of risk have been noted with subclinical hyperthyroidism. There are no data on use of thyroid indices for CHD risk stratification and few randomized prospective data on treatment of asymptomatic persons with regard to effect on CHD event rates.


Novel Biomarkers

A host of biomarkers have been examined in addition to those noted earlier (e.g., hsCRP). These include chromosome 9p21 genomic markers, constellations of single nucleotide polymorphisms, B-type natriuretic peptide, and cystatin C. Gains in predictive power appear minimal at most, infrequently resulting in reclassification.


Direct-to-Consumer Testing

Direct-to-consumer programs for assessment of cardiovascular risk are increasingly common and unregulated. They include carotid artery ultrasound, ABI, abdominal ultrasound for aortic aneurysm, CT for coronary calcium scoring, lipid profiling, and measurement of CRP. The above-noted limitations of many of these potentially useful studies, not to mention poor quality control and lack of standardization, make such screening outside the context of a comprehensive professional medical evaluation fraught with risks for false alarms and false reassurances. Even more egregious and potentially harmful are offerings of studies that lack any evidence base, such as use of an ultrasound ejection fraction determination for assessment of cardiac sudden death risk, or use of a “brachial artery elasticity” measurement for calculation of cardiovascular event risk. Patients and the public should be warned against making use of such testing absent standards setting, regulatory oversight, and consumer education regarding the limitations and potential harms of such testing.



APPROACHES TO PRIMARY PREVENTION (26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70 and 71)

The determination of a person’s CHD risk score provides basic risk stratification and helps inform the selection and intensity of primary preventive measures. Given the high prevalence of coronary risk factors, coronary disease, and coronary events in modern society, there is great interest and enthusiasm for primary preventive measures. While many preventive measures are solidly evidence based in terms of demonstrated effect on CHD morbidity and mortality (e.g., treatment of hypertension, diabetes, hyperlipidemia, smoking), a host of other popular or trendy recommendations are often promoted on a less sound
basis. Knowing the evidence base for available preventive measures can help prioritize the CHD primary prevention effort and help persons avoid those measures that are of little proven value or even potentially harmful. The latter goal is becoming increasingly important as evidence emerges of adverse effects for less established measures that were previously viewed as harmless and therefore worth trying.


Treatment of Major CHD Risk Factors (Hypertension, Hypercholesterolemia, Diabetes, Smoking)

Top priority is assigned to the treatment of hypertension (see Chapter 26), hypercholesterolemia (see Chapter 27), diabetes (see Chapter 102), and smoking (see Chapter 58). Effective management of these conditions provides the greatest degree of proven CHD risk reduction. Pharmacologic interventions in conjunction with behavioral and lifestyle changes can make for very significant decreases in rates of myocardial infarction and cardiac death, with reductions in relative risk in the range of 2.0 to 3.0 when treated intensively (see Chapter 26, 27, 58, and 102).


Exercise (26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42 and 43)

Among the nonpharmacologic preventive measures, exercise is one of the most popular and best studied. When performed regularly and properly, exercise has a powerful protective effect against CHD, both for primary and secondary preventions, either directly or by its effect on such major risk factors as hypertension, hyperlipidemia, obesity, and type 2 diabetes (see Chapters 26, 27, 102, and 233). Despite these benefits, only about 22% of US adults exercise at recommended levels. Sedentary living imposes a relative risk of dying from coronary artery disease of 1.9. The magnitude of this excess relative risk approaches that of smoking (2.5), elevated cholesterol (2.4), and hypertension (2.1). Because sedentary living is two to three times more prevalent than any of these other risk factors, it can be argued that physical inactivity is the single largest contributor to the epidemic of coronary artery disease. About 250,000 excess deaths in the United States each year can be attributed to lack of exercise.

The primary care physician can have a powerful motivating effect on individual patients by educating them about the benefits and approaches to exercise. The U.S. Preventive Services Task Force does not currently recommend routine behavioral counseling for exercise for all adults due to a lack of evidence for a population-wide mortality benefit, but does encourage physicians to consider it on an individual basis, especially for those at increased CHD risk. In designing the exercise program, one also needs to identify those patients at risk for exercise-induced complications and prescribe a personalized exercise program that is both safe and effective (see Appendix 18-1-18-18 and Table 18-1).


Effects on Cardiovascular Morbidity and Mortality

Simply maintaining a physically active lifestyle can be expected to reduce the cardiovascular risk by as much as 35% to 70%. Light to moderate exercise (defined below) can reduce all-cause mortality by 45%, even after adjusting for potential confounders; gardening for more than 60 minutes a week is associated with a 68% lower risk of primary cardiac arrests. Whereas exercise is most effective when commenced early in life, physical activity also confers benefit if initiated later in life. The elderly benefit in terms of survival despite the small risk associated with sudden physical or sexual activity, a risk markedly blunted by habitual physical activity. Among elderly men, walking more than 2 miles a day reduces the mortality rate by nearly 50% compared with those who walk less than 1 mile a day; similar benefits are found among elderly women, though the benefit appears more limited in those older than 75 years, especially those with poor health status. Exercise-related CHD risk reduction from exercise applies in high-risk persons as well as those with lesser degrees of risk. Patients with established CHD (secondary prevention; see 31) experience a 20% to 25% decrease in overall mortality, with reductions in fatal reinfarction and total cardiovascular deaths, but interestingly, not in nonfatal reinfarctions. Risk of sudden death from arrhythmias decreases.








TABLE 18-1 Approximate Metabolic Expenditures Associated with Selected Activities: the Duke Activity Status Index
















































Activity


(METS)


Can you…


Walk indoors, such as around your house?


1.75


Do light work around the house, such as dusting or washing dishes?


2.70


Take care of yourself (i.e., eating, dressing, bathing, using the toilet)?


2.75


Walk a block or two on level ground?


2.75


Do moderate work around the house such as vacuuming, sweeping floors, or carrying in groceries?


3.50


Do yard work such as raking leaves, weeding, or pushing a power mower?


4.50


Have sexual relations?


5.25


Climb a flight of stairs or walk up a hill?


5.50


Participate in moderate recreational activities, such as golf, bowling, dancing, doubles tennis?


6.00


Participate in strenuous sports, such as swimming, singles tennis, football, basketball, or skiing?


7.50


Do heavy work around the house, such as scrubbing floors or lifting or moving heavy furniture?


8.00


Run a short distance?


8.00


METS, estimated metabolic cost of each activity.


Reproduced from Hlatky MA, Boineau RE, Higginbotham MB, et al. A brief self-administered questionnaire to determine functional capacity (the Duke Activity Status Index). Am J Cardiol 1989;64(10):651-654, with permission. Copyright © 1989, Elsevier.


Aug 23, 2016 | Posted by in CRITICAL CARE | Comments Off on Primary Prevention of Coronary Heart Disease

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