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Feingold KR, Ahmed SF, Anawalt B, et al., editors. Endotext [Internet]. South Dartmouth (MA): MDText.com, Inc.; 2000-.

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Guidelines for the Management of High Blood Cholesterol

, MD.

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Last Update: March 27, 2025.

ABSTRACT

The LDL-C hypothesis holds that high blood LDL-C levels are a major risk factor for atherosclerosis cardiovascular disease (ASCVD) and lowering LDL-C levels will reduce the risk for ASCVD. This hypothesis is based on epidemiological evidence that both within and between populations higher LDL-C levels increase the risk for ASCVD, and conversely, randomized clinical trials (RCTs) demonstrating that lowering LDL-C levels will reduce ASCVD risk. LDL-C levels can be reduced by both lifestyle interventions and cholesterol-lowering drugs. Widely used LDL-C lowering drugs are statins, ezetimibe, bempedoic acid, and proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors. In this chapter we discuss the information provided in the two major guidelines on how to select and treat patients to lower LDL-C levels; the 2018 AHA/ACC/Multi-Society report and the European Society of Cardiology (ESC), the European Atherosclerosis Society (EAS), and representatives from other European organizations guidelines published in 2020. Additionally, we discuss the key principles that clinicians should utilize when deciding who to treat and how aggressively to treat hypercholesterolemia to lower the risk of ASCVD. Specifically, 1) the sooner one initiates LDL-C lowering therapy the greater the benefit, 2) the greater the decrease in LDL-C the greater the benefit, 3) the higher the LDL-C level the greater the benefit, and 4) the higher the absolute risk of ASCVD the greater the benefit. Following these general principles will help clinicians make informed decisions in deciding on their approach to lowering LDL-C levels and will facilitate discussions with patients on the benefits and risks of treatment. These decisions need to balance the benefits of treatment vs. the potential side effects and cost and the preferences of individual patients. For complete coverage of all related areas of Endocrinology, please visit our on-line FREE web-text, WWW.ENDOTEXT.ORG.

INTRODUCTION

Atherosclerotic cardiovascular disease (ASCVD) remains the foremost cause of death among chronic diseases. An aging population combined with an atherogenic lifestyle increases the risk of ASCVD. Even so, mortality from ASCVD has been declining in most developed countries. This decline comes from improvements in preventive measures and better clinical interventions. One of the most important advances in the cardiovascular field resulted from identifying risk factors for ASCVD. Risk factors directly or indirectly promote atherosclerosis, or they otherwise predispose to vascular events. The major risk factors are cigarette smoking, dyslipidemia, hypertension, hyperglycemia, and advancing age. Dyslipidemia consists of elevations of atherogenic lipoproteins (LDL, VLDL, Lp(a), and remnants) and low levels of HDL. Advancing age counts as a risk factor because it reflects the impact of all risk factors over the lifespan. Several other factors, called risk enhancing factors, associate with higher risk for ASCVD (1). Lifestyle factors (for example, overnutrition and physical inactivity) contribute importantly to both major and enhancing risk factors. Hereditary factors undoubtedly contribute to the identifiable risk factors; but genetic influences also affect ASCVD risk through other ways not yet understood (2).

THE CHOLESTEROL HYPOTHESIS AND CHOLESTEROL-LOWERING THERAPY

There is now indisputable evidence that elevated serum cholesterol levels increase the risk of ASCVD. The first evidence for a connection between serum cholesterol levels and atherosclerosis came from studies in laboratory animals (3). Feeding cholesterol to various animal species raises serum cholesterol and causes deposition of cholesterol in the arterial wall (3). The latter recapitulates the early stages of human atherosclerosis. Subsequently, in humans, severe hereditary hypercholesterolemia was observed to cause premature atherosclerosis and ASCVD (3). Later, population surveys uncovered a positive association between serum cholesterol levels and ASCVD (4,5). Finally, clinical trials with cholesterol-lowering agents documented that lowering serum cholesterol levels reduces the risk for ASCVD (6). These findings have convincing proven the cholesterol hypothesis. Moreover, the relationship between cholesterol levels and ASCVD risk is bidirectional; raising cholesterol levels increases risk, whereas reducing levels decreases risk (Figure 1).

Figure 1. . The Cholesterol Hypothesis.

Figure 1.

The Cholesterol Hypothesis. Between the years 1955 and 1985, many epidemiologic studies showed a positive relation between cholesterol levels and atherosclerotic cardiovascular disease (ASCVD) events. Over the next 30 years, a host of randomized controlled clinical trials have demonstrated that lowering cholesterol levels will reduce the risk for ASCVD. This bidirectional relationship between cholesterol levels and ASCVD provides ample support for the cholesterol hypothesis.

Epidemiological Evidence

A relationship between cholesterol levels and ASCVD risk is observed in both developing and developed countries (4,5). Populations with the lowest cholesterol levels and LDL-C levels have the lowest rates of ASCVD. Within populations, individuals with the lowest serum cholesterol or LDL-C levels carry the least risk. In other words, “the lower, the better” for cholesterol levels holds, both between populations and for individuals within specific populations.

Pre-Statin Clinical Trial Evidence

Several earlier randomized controlled trials (RCTs) tested whether reducing cholesterol levels through diet, bile acid sequestrants, or ileal exclusion operation reduced ASCVD events. A summary of the results of these trials is shown in table 1 (4).

Table 1.

Summary of Pre-Statin Clinical Trials of Cholesterol-Lowering Therapy

InterventionNo. trialsNo. treatedPerson-yearsMean cholesterol reduction (%)CHD incidence
(% change)
CHD Mortality
(%change)
Surgery14214,08422-43-30
Sequestrants31,99214,4919-21-32
Diet61,2006,35611-24-21

This table is derived from National Cholesterol Education Program Adult Treatment Panel III (4)

Statins and Clinical Trial Evidence

Statins were discovered in the 1970s by Endo of Japan (7). Seven statins have been approved for use in clinical practice by the FDA and they are now generic (for a detailed discussion of statins see the Endotext chapter on Cholesterol Lowering Drugs (8)). Statins inhibit HMG-CoA reductase decreasing cholesterol synthesis and increasing hepatic LDL receptors resulting in a decrease in LDL-C levels. Over the past three decades, a series of RCTs have been carried out that documents the efficacy and safety of statin therapy. In these RCTs, statin therapy has been shown to significantly reduce morbidity and mortality from ASCVD. Although individual RCTs produced significant results, the strongest evidence of benefit comes from meta-analysis. i.e., by combining data from all the trials (6).

Meta-analysis has shown that for every mmol/L (39 mg/dL) reduction in LDL-C with statin therapy there is an approximate 22% reduction in ASCVD events (6,9-12). Another report (13) showed that an almost identical relationship holds when several different kinds of LDL-lowering therapy were analyzed together. This response appears to be consistent throughout all levels of LDL-C. Individual statins vary in their intensity of cholesterol-lowering at a given dose (1,8) (Table 2). For example, per mg per day, rosuvastatin is twice as efficacious as atorvastatin, which in turn is twice as efficacious as simvastatin. Statins are best classified according to percentage reductions in LDL-C. As shown in Table 2, moderate- intensity statins reduce LDL-C by 30-49%, whereas high-intensity statins reduce LDL-C by ≥ 50%. Absolute reductions vary depending on baseline levels of LDL-C. For example, for a baseline LDL-C of 200 mg/dL, a 50% reduction in LDL-C equates to a 100 mg/dL (2.6 mmol/L) decline; this translates into a 59% reduction in 10-year risk for ASCVD events. In contrast, in a patient with a baseline LDL-C of 100 mg/dL, a 50% reduction in LDL-C equates to a 50 mg/dL (1.3 mmol/L) decline, which will reduce ASCVD risk by about 30%. Thus, at lower and lower levels of LDL-C, progressive reductions of LDL-C produce diminishing benefit from cholesterol-lowering therapy. This modifies the aphorism "lower is better". Whereas the statement is true, it must be kept in mind that there are diminishing benefits from intensifying cholesterol-lowering therapy when LDL-C levels are already very low. One needs to balance the benefits of further reducing LDL-C levels with the side effects and costs of additional therapy.

Table 2.

Categories of Intensities of Statins

DrugLow-Intensity
20-25% ↓ LDL-C
Moderate-Intensity
30-49%↓ LDL-C
High Intensity
≥50%↓ LDL-C
Lovastatin10-20 mg40-80 mg
Pravastatin10-20 mg40-80 mg
Simvastatin10 mg20-40 mg
Fluvastatin20-40 mg80 mg
Pitavastatin1-4 mg
Atorvastatin5 mg10-20 mg40-80 mg
Rosuvastatin5-10 mg20-40 mg

Non-Statin Cholesterol-Lowering Drugs

Other agents are currently available that lower LDL-C levels. Bile acid sequestrants inhibit intestinal absorption of bile acids, which like statins raise hepatic LDL receptors (8). They are moderately efficacious for reducing LDL-C concentrations. A large RCT showed that bile acid sequestrants significantly reduce risk for CHD in patients with baseline elevations in LDL-C (14). Theoretically, bile acid sequestrants could enhance risk reduction in patients with ASCVD who are treated with statins.

Ezetimibe blocks cholesterol absorption in the intestine and also raises hepatic LDL receptor activity (8). It moderately lowers LDL-C (15-25%). The combination of statin + ezetimibe is additive for LDL-C lowering (15). A clinical trial (16) demonstrated that adding ezetimibe to moderate intensity statins in very high-risk patients with ASCVD is beneficial showing that combination therapy reduced risk of cardiovascular events more than a statin alone (16). In this trial, the higher the risk, the greater was risk reduction (17). Ezetimibe is a generic drug and relatively inexpensive.

Proprotein convertase subtilisin/kexin type 9 (PCSK9) promotes degradation of LDL receptors and raises LDL-C levels (8). Inhibition of PCSK9 increases the number of hepatic LDL receptors and markedly lowers LDL-C concentrations (50-60% decrease) (8,18). Studies have shown that PCSK9 inhibitors reduce risk in ASCVD patients at very high risk when combined with statins (19,20). PCSK9 inhibitors are relatively expensive drugs.

Bempedoic acid is an adenosine triphosphate-citrate lyase (ACL) inhibitor and thereby inhibits cholesterol synthesis leading to an increase in LDL receptor activity (8,21). Bempedoic acid typically lowers LDL-C by 15-25% (8,21). A RCT has demonstrated that bempedoic acid reduces ASCVD in statin intolerant patients (22). Bempedoic acid is not generic and therefore is relatively expensive.

For additional information on cholesterol and triglyceride lowering drugs see the chapters in Endotext that address these topics (8,23).

PRIOR U.S. GUIDELINES FOR CHOLESTEROL MANAGEMENT

National Cholesterol Education Program (NCEP)

The early guidelines for cholesterol management in the United States have been those developed by the NECP. This program was sponsored by the National Heart, Lung and Blood Institute (NHLBI) and included many health-related organizations in the United States (24). Between 1987 and 2004, three major Adult Treatment Panel (ATP) reports (4,25,26) and one update were published (27) (Table 3). Over time the guidelines recommended more stringent LDL-C goals as the results of RCTs were published and added non-HDL-C levels as a goal.

Table 3.

National Cholesterol Education Program’s Adult Treatment Panel (ATP) Reports

GuidelineATP IATP IIATP IIIATP III Update
Year1987199420012004
ThrustPrimary preventionSecondary preventionHigh-risk primary preventionVery high risk
DrugsBile acid resins Nicotinic acid FibratesSame as ATPI +StatinsSame as ATP IISame as ATP III
Major TargetsLDL-C; HDL-CLDL-C; HDL-CLDL-C; Non-HDL-CLDL-C; Non-HDL-C
LDL-C goal
(mg/dL)
Low risk <190 Moderate risk <160 High risk < 130Low risk <160 Moderate risk <130 High risk <100Low risk <160 Moderate risk <130 Moderately high risk <130
High risk < 100
Low risk <160 Moderate risk <130
Moderately high risk <130 High risk < 100 Very high risk < 70

Transfer of NHLBI Guidelines to American Heart Association (AHA) and the American College of Cardiology (ACC)

In 2013, NHLBI made the decision to remove treatment guidelines from its agenda. This was done even though it had almost finished writing prevention guidelines. These included guidelines for high blood cholesterol, high blood pressure, obesity, and nutrition. Late in this process, the guideline process was transferred to the American Heart Association (AHA) and American College of Cardiology (ACC). Then in 2013 the NHLBI guidelines for high blood cholesterol were modified to fit the criteria for guideline development required by AHA/ACC. The 2013 cholesterol guidelines (28) adhered closely to the Institute of Medicine (National Academy of Medicine) recommendations for evidence-based guidelines (29). These recommendations advocated priority to randomized controlled trials (RCTs) as the foundation of evidence-based medicine. The NHLBI cholesterol committee carried out an extensive review of the literature and limited recommendations based largely on RCTs. Most acceptable RCTs had utilized statin therapy in middle-aged people. Therefore, the 2013 report committee did not include detailed recommendations for younger or older adults. Recommendations were largely limited to the age range 40-75 years. High-intensity statin therapy was recommended for patients with established ASCVD. For primary prevention, risk was stratified by use of a pool cohort equation (PCE), which was derived from five large population studies in the United States (30). The PCE was an extension of the Framingham Heart Study risk equations. 10-year risk for ASCVD was based on the following risk factors: age, gender, cigarette smoking, blood pressure, total cholesterol, HDL cholesterol, and presence or absence of diabetes. Although the PCE was validated in another large study (31), it has been criticized by some investigators as being imprecise for many individuals or specific groups (32-36).

For primary prevention, an effort was made to determine what level 10-year risk is associated with efficacy of reduction of ASCVD from statin RCTs. It was determined that statins are effective for risk reduction when 10-year risk for ASCVD is ≥ 7.5%. Most primary prevention trials employed moderate intensity statins, so these were recommended for most patients; but in one RCT (37), a high-intensity statin appeared to produce greater risk reduction than found with moderate-intensity statins. So high-intensity statins were considered a favorable option in patients at higher 10-year risk. Notably LDL-C goals were not emphasized. It was recognized that these recommendations may not be optimal for all patients; therefore, consideration should be given to any extenuating circumstances that could modify the translation of RCTs directly into clinical care. A clinician patient risk discussion thus was advocated for all patients to consider the pros and cons of statin therapy.

There are many guidelines discussing the management of LDL-C, but the 2 major guidelines are the 2018 AHA/ACC/Multi-Society report (1) and the European Society of Cardiology (ESC), the European Atherosclerosis Society (EAS), and representatives from other European organizations guidelines published in 2020 (38). In this chapter these two guidelines will be discussed.

2018 AHA/ACC/MULTI-SOCIETY REPORT

2013 cholesterol guidelines were revised by AHA/ACC in collaboration with multiple other societies concerned with preventive medicine (1). These guidelines extended those published in 2013. They expanded recommendations to include children, adolescents, young adults (20-39 years), and older patients (> 75 years). Although RCTs may be lacking in these categories, epidemiology and clinical studies indicate that high blood cholesterol is an important risk factor for future ASCVD in these age ranges. From the evidence acquired over many years related to the cholesterol hypothesis, it is reasonable to craft recommendations based on the totality of the evidence. These guidelines proposed a top 10 list of recommendations to highlight the key points. These key points will be examined.

Lifestyle Intervention

1) In all individuals emphasize a heart healthy lifestyle across the life-course.

There is widespread agreement in the cardiovascular field that lifestyle factors contribute to the risk for ASCVD. These factors include cigarette smoking, sedentary life habits, obesity, and an unhealthy eating pattern. The ACC/AHA strongly recommends that a healthy lifestyle be adopted throughout life. These recommendations are strongly supported by 2018 cholesterol guidelines. They are the foundation for cardiovascular prevention and should receive appropriate attention in clinical practice (39). For a detailed discussion of the effect of diet on lipid levels and atherosclerosis see the Endotext chapter The Effect of Diet on Cardiovascular Disease and Lipid and Lipoprotein Levels (40).

Secondary Prevention

2) In patients with clinical ASCVD reduce LDL-C with high-intensity statin or maximally tolerated statins to decrease ASCVD risk. The goal of therapy is to reduce LDL-C by 50% or greater. If necessary to achieve this goal consider adding ezetimibe to moderate statin therapy.

The strongest evidence for efficacy of statin therapy is a meta-analysis of RTCs carried out in patients with established ASCVD. As previously mentioned, the best fit line comparing percent ASCVD versus LDL-C in secondary prevention studies demonstrates that for every mmol/L (39mg/dL) reduction in LDL-C the risk for ASCVD is decreased by approximately 22% (9). High intensity statins typically reduce LDL-C by 50% or more; this percentage reduction occurs regardless of baseline levels of LDL-C. This explains why the guidelines set a goal for LDL-C secondary prevention to be a ≥ 50% reduction in levels. There are two options to achieve such reductions. RCTs give priority to the use of high-intensity statins. But, if high-intensity statins are not tolerated, similar LDL-C lowering can be attained by combining a moderate-intensity statin with ezetimibe (15,16). The RACING trial, a randomized trial that compared rosuvastatin 10 mg plus ezetimibe 10 mg vs. rosuvastatin 20 mg, demonstrated a similar effect on ASCVD events (41). An approach to lowering LDL-C in patients with ASCVD is shown in Figure 2.

Figure 2. . Secondary Prevention in Patients with Clinical ASCVD (1).

Figure 2.

Secondary Prevention in Patients with Clinical ASCVD (1).

VERY HIGH-RISK PATIENTS WITH ASCVD

3) In very high-risk patients with ASCVD first use a maximally tolerated statin +/- ezetimibe to achieve an LDL-C goal of < 70mg/dL (<1.8mMol/L). If this goal is not achieved consider adding a PCSK9 inhibitor.

2018 guidelines defined very high risk of future ASCVD events as a history of multiple ASCVD events or one major event plus multiple high-risk conditions (Table 4). This definition is based in large part on subgroup analysis of the IMPROVE-IT trial (16,17).

Table 4.

Very High Risk of Future ASCVD Events (1)


Major ASCVD Events
Recent ACS (within the past 12 months)
History of MI (other than recent acute coronary syndrome event listed above)
History of ischemic stroke
Symptomatic peripheral arterial disease (history of claudication with ABI <0.85, or previous revascularization or amputation)
High Risk Conditions
Age ≥65 y
Heterozygous familial hypercholesterolemia
History of prior coronary artery bypass surgery or percutaneous coronary intervention outside of the major ASCVD event(s)
Diabetes mellitus
Hypertension
CKD (eGFR 15-59 mL/min/1.73 m2)
Current smoking
Persistently elevated LDL-C (LDL-C ≥100 mg/dL [≥2.6 mmol/L]) despite maximally tolerated statin therapy and ezetimibe
History of congestive heart failure

ABI indicates ankle-brachial index; CKD indicates chronic kidney disease.

Recent RCTs have demonstrated that the addition of non-statins to statin therapy can enhance risk reduction. These RCTs (and their add-on drugs) were IMPROVE-IT (ezetimibe) (16), FOURIER (evolocumab) (19), and ODYSSEY OUTCOMES (alirocumab) (20). All RCTs were carried out in patients at very high-risk. For IMPROVE-IT, addition of ezetimibe to statin therapy produced an additional 6% reduction in ASCVD events. In this trial, baseline LDL-C on moderate-intensity statin alone averaged about 70 mg/dL; in spite of this low level, further LDL lowering with addition of ezetimibe enhanced risk reduction. RCTs with the two PCSK9 inhibitors (evolocumab and alirocumab) restricted recruitment to patients having LDL-C ≥ 70 mg/dL on maximally tolerated statin+ ezetimibe. In these RCTs, the duration of therapy was only about 3 years. A marked additional LDL lowering was achieved. In both trials, the risk for ASCVD events was reduced by 15%.

2018 guidelines allow consideration of PCSK9 inhibitor as an add-on drug if patients are at very high risk for future ASCVD events and have an LDL-C ≥ 70 mg/dL (or non-HDL-C > 100mg/dL) during treatment with maximally tolerated statin plus ezetimibe (Figure 3). This latter threshold LDL-C was chosen because it was a recruitment criterion for PCSK9 inhibitor therapy in reported RTCs (19,20)

An important question about the use of PCSK9 inhibitors is whether they are cost-effective. When they first became available, they were marketed at a very high cost, which was widely considered to be excessive. More recently, the cost of these drugs has declined considerably, and one can anticipate that the price will continue to decrease. An analysis of cost-effectiveness has shown that at current prices in very high-risk patients PCSK9 inhibitors can be cost-effective (42). Another analysis (43) of approximately 1 million patients with ASCVD in the Veterans Affairs system indicate that approximately 10% of patients will be classified as very high risk and having LDL-C ≥ 70 mg/dL while taking maximal statin therapy plus ezetimibe. These later patients are potential candidates for PCSK9 inhibitors.

Figure 3. . Secondary Prevention in Patients with Very High-Risk ASCVD (1).

Figure 3.

Secondary Prevention in Patients with Very High-Risk ASCVD (1).

Primary Prevention

SEVERE PRIMARY HYPERCHOLESTEROLEMIA

1.

In patients with severe primary hypercholesterolemia (LDL-C greater than 190mg/dL (>4.9mMol/L)) without concomitant ASCVD begin high-intensity statin therapy (or moderate intensity statin + ezetimibe) to achieve an LDL-C goal of < 100mg/dL; if this goal is not achieved consider adding a PCSK9 inhibitor in selected patients at higher risk. Measurement of 10-year risk for ASCVD is not necessary.

Patients with severe hypercholesterolemia are known to be at relatively high risk for developing ASCVD (44,45). In view of massive evidence that elevated LDL-C promotes atherosclerosis and predisposes to ASCVD, it stands to reason that such patients deserve intensive treatment with LDL-lowering drugs. RCTs with cholesterol-lowering drugs demonstrate benefit of statin therapy in patients with severe hypercholesterolemia (46,47). It is not necessary to calculate 10-year risk in such patients. Moreover, patients who have extreme elevations of LDL-C (e.g., heterozygous familial hypercholesterolemia) may be candidates for PCSK9 inhibitors if LDL-C cannot be lowered sufficiently with maximal statin therapy plus ezetimibe.

PATIENTS WITH DIABETES

2.

In patients with diabetes mellitus aged 40 to 75 years with an LDL-C ≥70 mg/dL (≥1.8 mmol/L), without concomitant ASCVD, begin moderate-intensity statin therapy. For older patients (≥ 50 years), consider using high-intensity statin therapy (or moderate intensity statin plus ezetimibe) to achieve a reduction in LDL-C of ≥ 50%. Measurement of 10-year risk for ASCVD is not necessary.

Middle-aged patients with diabetes have an elevated lifetime risk for ASCVD (48). The trajectory of risk is steeper in patients with diabetes than in those without. For this reason, estimation of 10-year risk for ASCVD with the pooled cohort equation (PCE) is not a reliable indicator of lifetime risk. Meta-analysis of RCTs in middle-aged patients with diabetes treated with moderate intensity statins therapy shows significant risk reduction (12). Hence, most middle-aged patients with diabetes deserve statin therapy. With progression of age and accumulation of multiple risk factors, increasing the intensity of statin therapy or adding ezetimibe seems prudent (Tables 5 and 6). It is not necessary to measure 10-year risk before initiation of statin therapy in these patients with diabetes.

Table 5.

Diabetes Specific Risk Enhancers That Are Independent of Other Risk Factors in Diabetes (1)

Long duration (≥10 years for type 2 diabetes mellitus or ≥20 years for type 1 diabetes mellitus
Albuminuria ≥30 mcg of albumin/mg creatinine
eGFR <60 mL/min/1.73 m2
Retinopathy
Neuropathy
ABI <0.9

ABI indicates ankle-brachial index.

Table 6.

ASCVD Risk Enhancers (1)

Family history of premature ASCVD
Persistently elevated LDL > 160mg/dl (>4.1mmol/L
Chronic kidney disease*
Metabolic syndrome**
History of preeclampsia
History of premature menopause
Inflammatory disease (especially rheumatoid arthritis, psoriasis, HIV)
Ethnicity (e.g., South Asian ancestry)
Persistently elevated triglycerides > 175mg/dl (>2.0mmol/L)
Hs-CRP > 2mg/L
Lp(a) > 50mg/dl or >125nmol/L
Apo B > 130mg/dl
Ankle-brachial index (ABI) < 0.9
*

Chronic kidney disease definition- eGFR 15–59 mL/min/1.73 m2 with or without albuminuria.

**

Metabolic syndrome definition- increased waist circumference, elevated triglycerides [>175 mg/dL], elevated blood pressure, elevated glucose, and low HDL-C [<40 mg/dL in men; <50 in women mg/dL] are factors; tally of 3 makes the diagnosis).

Other factors that can increase the risk of ASCVD include social deprivation, physical inactivity,

psychosocial stress, major psychiatric disorders, obstructive sleep apnea syndrome, and metabolic associated fatty liver disease (38).

PRIMARY PREVENTION PATIENT WITHOUT OTHER FACTORS

4) Initiation of primary prevention should begin with a clinician-patient risk discussion.

This discussion is necessary to put a patient’s total risk status in perspective. The risk discussion should always begin with a review of the critical importance of lifestyle intervention. This is true for all age groups. Beyond the issue of lifestyle, the discussion can further consider the potential benefit of a cholesterol-lowering drug, especially statin therapy. When the latter may be beneficial, the provider should next review major risk factors and estimated 10-year risk for ASCVD derived from the pooled cohort equation (PCE) risk calculator (49) (https://tools.acc.org/ASCVD-Risk-Estimator-Plus/#!/calculate/estimate/). Estimation of lifetime risk is also useful, particularly in younger individuals who often have a low 10-year risk but a high lifetime risk. All major risk factors (e.g., cigarette smoking, elevated blood pressure, LDL-C, hemoglobin A1C [if indicated]), should be discussed.

In patients 40-75 years, the 10-year risk estimate is most useful. In these patients, four categories of 10-year risk for ASCVD are recognized: low risk (<5%); borderline risk (5-7.4%); intermediate risk (7.5-19.9%), and high risk (≥ 20%). Estimates of lifetime risk for patients 20-39 years also are available (https://www.acc.org/guidelines/hubs/blood-cholesterol or https://qrisk.org/lifetime/index.php) and should be obtained in younger individuals. Three other components of the risk discussion are: risk enhancing factors (see #8), possible measurement of coronary artery calcium (CAC) (see #9), and a review of extenuating life circumstances (issues of cost and safety considerations, as well as patient motivation and preferences). The decision to initiate statin therapy should be shared between the clinician and patient. All of these factors deserve a full discussion in view of the fact that statin therapy represents a lifetime commitment to taking a cholesterol-lowering drug.

Patients should also recognize that atherosclerosis begins early in life and progresses overtime before manifesting as clinical disease. The cumulative LDL-C levels (“LDL-C years”) strongly influence the timing of clinical manifestations (figure 4). In patients with high LDL-C levels (homozygous and heterozygous familial hypercholesterolemia) ASCVD can occur early in life whereas in patients with loss of function mutations in PCSK9 and low LDL-C level have a reduced occurrence of ASCVD.

Figure 4. . Relationship between cumulative LDL-C exposure, age, and the development of the clinical manifestations of ASCVD.

Figure 4.

Relationship between cumulative LDL-C exposure, age, and the development of the clinical manifestations of ASCVD. Figure from reference (50).

Additionally, patients should be appraised of comparisons of the reduction in ASCVD events in individuals with genetic variations resulting in life-long reductions in LDL-C levels vs. individuals treated with statins to lower LDL-C later in life. Variants in the HMG-CoA reductase, NPC1L1, PCSK9, ATP citrate lyase, and LDL receptor genes result in a lifelong decrease in LDL-C and a 10mg/dL decrease in LDL-C with any of these genetic variants was associated with a 16-18% decrease in ASCVD events (51). As noted above, a 39mg/dL decrease in LDL-C in the statin trials resulted in a 22% decrease in ASCVD events. Thus, a life-long decrease in LDL-C levels results in a decrease in ASCVD events that is three to four times as great as that seen with short-term LDL-C lowering with drugs later in life suggesting that the sooner the LDL-C level is lowered the better the prevention of cardiovascular events.

5) In adults 40 to 75 years of age without diabetes and LDL-C ≥70 mg/dL (≥1.8 mmol/L), RTC's show that moderate intensity statin therapy is efficacious when 10-year risk for developing ASCVD is ≥ 7.5%. Therefore, initiating statin therapy should be considered in the risk discussion.

A 10-year risk ≥ 7.5% does not mandate statin therapy but indicates that moderate-intensity statins can reduce risk by 30-40% with a minimum of side effects (52). This fact alone can justify moderate intensity statin therapy, but only if other considerations noted above (#6) are taken into account in the risk discussion. An approach to lipid lowering in primary prevention patients is shown in figure 5.

Figure 5. . Approach to Primary Prevention in Patients without LDL-C >190mg/dl or Diabetes (1).

Figure 5.

Approach to Primary Prevention in Patients without LDL-C >190mg/dl or Diabetes (1).

6) Determine presence of risk-enhancing factors in adults 40 to 75 years of age to inform the decision regarding initiation of statin therapy.

If risk assessment based on PCE is equivocal or ambiguous, the presence of risk enhancing factors in patients at intermediate risk (10-year risk 7.5 to 19.9%), can tip the balance in favor of statin therapy. Risk enhancing factors are shown in Table 6.

7) IF A DECISION ABOUT STATIN THERAPY IS UNCERTAIN IN ADULTS 40 TO 75 YEARS OF AGE WITHOUT DIABETES MELLITUS, WITH LDL-C LEVELS ≥ 70 MG/DL, AND WITH A 10 YEAR ASCVD RISK OF ≥ 7.5% TO 19.9% (INTERMEDIATE RISK) CONSIDER MEASURING Coronary Artery Calcium (CAC).

CAC measurements are a safe and inexpensive method to assess severity of coronary atherosclerosis. CAC scores generally reflect lifetime exposure to coronary risk factors and therefore in young individuals (men < 40 years of age; women < 50 years of age) the long-term predictive value is limited because the CAC score is often 0. Studies show that CAC accumulation is a strong predictor of probability of ASCVD events (53). A CAC core of zero generally is accompanied by few if any ASCVD events over the subsequent decade. Reevaluation in 5-10 years is indicated. A CAC score of 1-100 Agatston units is associated with relatively low rates of ASCVD, both in middle-aged and older patients. In contrast, a CAC >100 Agatston units carries a risk well into the statin-benefit zone. CAC > 300-400 is equivalent to clinical ASCVD. Data such as these led to the following recommendation of 2018 guidelines for patients at intermediate risk by PCE.

a. If CAC is zero, treatment with statin therapy may be withheld or delayed, except in cigarette smokers, those with diabetes mellitus, those with a strong family history of premature ASCVD, and possibly chronic inflammatory conditions such as HIV.

b. A CAC score of 1 to 99 Agatston units favors statin therapy in intermediate-risk patients ≥55 years of age, whereas benefit in 40-54 years is marginal (note this focuses on 10-year risk and a CAC score in this range in a younger individual is predictive of an increased long-term risk (54)).

c. A CAC score ≥100 Agatston units (or ≥75th percentile), strongly favors statin therapy, unless otherwise countermanded by clinician–patient risk discussion.

Monitoring

8) Assess adherence and percentage response to LDL-C lowering medications and/or lifestyle changes with repeat lipid measurement 4 to 12 weeks after statin initiation or dose adjustment and every 3-12 months as needed.

Remember that the LDL-C goal for patients with ASCVD or severe hypercholesterolemia is a ≥ 50% reduction in LDL-C. For most such patients, this goal can be achieved by high-intensity statin therapy + ezetimibe. In ASCVD patients at very high risk, the goal is an LDL-C lowering >50% and an LDL-C < 70 mg/dL. To achieve these goals, it may be necessary to combine a PCSK9 inhibitor with maximal statin therapy + ezetimibe. For statin therapy in primary prevention, the goal is a lowering of ≥ 35%. This goal can be achieved in most patients with a moderate intensity statin + ezetimibe.

2018 guidelines did not set a precise on-treatment LDL-C target of therapy, but instead, offer percent reductions as goals of therapy. Baseline levels of LDL-C can be obtained either by chart review or withholding statin therapy for about two weeks. In addition, on-treatment LDL-C can provide useful information about efficacy of treatment (Figure 6). This figure shows expected LDL-C levels for 50% or 35% reductions at different baseline levels of LDL-C. For example, in secondary prevention, an on-treatment LDL-C of <70 mg/dL can be considered adequate treatment regardless of baseline LDL-C. On-treatment levels in the range of 70-100 mg/dL are adequate if baseline-LDL C is known to be in the range of 140- 200 mg/dL; if there is uncertainty about baseline levels, reevaluation of statin adherence and reinforcement of treatment regimen is needed. For optimal treatment, on-treatment levels in this range warrant consideration of adding ezetimibe to maximal statin therapy. If on treatment LDL-C is ≥ 100 mg/dL, the treatment regimen is probably inadequate, and intensification of therapy is needed. For primary prevention, the LDL-C goal is a reduction ≥ 35%, and a similar scheme for evaluating efficacy of therapy can be used.

Figure 6. . Predicted on-treatment LDL-C compared to baseline LDL-C and suggested actions for each category of on-treatment LDL-C in secondary and primary prevention.

Figure 6.

Predicted on-treatment LDL-C compared to baseline LDL-C and suggested actions for each category of on-treatment LDL-C in secondary and primary prevention.

Other Issues

OTHER AGE GROUPS

2018 guidelines offered suggestions for management of high blood cholesterol in children, adolescents, young adults (20-39 years), and elderly patients > 75 years. There is no strong RCT evidence to underline cholesterol management in these populations. Instead, treatment suggestions depend largely on epidemiologic data. Lifestyle intervention is a primary method for cholesterol treatment in these age groups. However, under certain circumstances LDL-lowering drugs may be indicated. This is particularly the case for patients with familial hypercholesterolemia or similar forms of very high LDL-C. In young adults, particularly those with other risk factors, LDL lowering drug therapy (statin or ezetimibe) may be reasonable when LDL-C levels are in the range of 160-189 mg/dL or if the lifetime risk is high. Older adults who have concomitant risk factors are potential candidates for initiation of statins or continuation of existing statin therapy. In all cases, clinical estimation of risk status is critical in a decision to initiate statins.

For details on the approach to treating hypercholesterolemia in older adults see the Endotext chapter entitled “Management of Dyslipidemia in the Elderly” (55). For details on the approach to treating hypercholesterolemia children and adolescence see the Endotext section on Pediatric Lipidology.

STATIN NON-ADHERENCE

In spite of proven benefit of statin therapy in high-risk patients, there is a relatively high prevalence of nonadherence to the prescribed drug (56). Some studies suggest that up to 50% of patients discontinue use of prescribed statins over the long run (57-60). This finding creates a major challenge to the health care system for prevention of ASCVD. Table 7 lists several factors that may contribute to a high prevalence of nonadherence.

Table 7.

Factors Associated with Statin Nonadherence

Healthcare system factors
Accompanying medical care costs
Lack of medical oversight and follow-up (provider therapeutic inertia)
Provider concern for side effects
Patient factors
Uncertainty of benefit
Lack of health consciousness
Lack of motivation
Lack of perceived benefit
Perceived side effects
Nocebo effects
Myalgias
Myopathy
“Brain fog”
Misattributed symptoms or syndromes (arthritis, spondylosis, neuropathy, insomnia, mental confusion and memory loss, fibromyalgia, gastrointestinal symptoms, liver dysfunction, cataract; cancer).

When a decision is made to initiate statin therapy, the presumption is that statins are a lifetime treatment. Their use is similar to other medications, such as antihypertensive drugs, which are expected to be taken for the rest of one’s life. Such treatments imply indefinite participation in the healthcare system. This means regular ongoing visits to a prescribing clinic. Even for those with medical insurance there are usually co-pays for the visit, not to mention the cost of transportation to and from the clinic. All of these cost-related issues can be an impediment to long-term statin usage. Provider therapeutic inertia (56) can result from lack of provider education, excessive workload, and concerns about statin side effects.

From the patient’s point of view, common issues are lack of understanding of the potential benefits of therapy and lack of health consciousness and motivation. A related problem is the expectation of side effects because of preconditioning by information received from the news media, package inserts, Internet, family, and friends. This expectation can discourage individuals from continuation of statin therapy (nocebo effect) (61). The most common symptoms attributed to statin therapy are muscle pain and tenderness (myalgias) (8). A complaint of statin intolerance is registered in about 5-15% of patients. If myalgias attributed to statins are due to actual pathological changes, the character of the changes is yet to be determined. In almost all cases, serum creatine kinase (CK) levels are not increased. Still, in rare cases, especially when blood levels of statins are raised, severe myopathy (rhabdomyolysis) can occur. This proves that statins can be myotoxic. Table 8 lists conditions associated with statin-induced severe myopathy (62,63). In most such cases, severe myopathy is reversible. If the cause can be identified and eliminated, a statin can be cautiously reinstituted. Alternatively, a non-statin LDL-lowering drug (e.g., ezetimibe, bempedoic acid, or PCSK9 inhibitor) can be substituted for the offending statin (8,64). For a detailed discussion of statin side effects and the management of patients with statin intolerance see the Endotext chapter on cholesterol lowering drugs (8).

Table 8.

Factors Associated with Statin - Induced Rhabdomyolysis

Advanced age (>80 y)
Small body frame and fragility
Female sex
Asian ethnicity
Pre-existing neuromuscular condition
Known history of myopathy or family history of myopathy syndrome
Pre-existing liver disease, kidney disease, hypothyroidism
Certain rare genetic polymorphisms
High-dose statin
Postoperative periods
Excessive alcohol intake
Drug interactions (gemfibrozil, antipsychotics, amiodarone, verapamil, cyclosporine, macrolide antibiotics, azole antifungals, protease inhibitors)

EUROPEAN GUIDELINES FOR CHOLESTEROL MANAGEMENT

The most influential of European guidelines for management of cholesterol and dyslipidemia are those developed by the European Society of Cardiology (ESC), the European Atherosclerosis Society (EAS), and representatives from other European organizations (65). A task force appointed by these organizations have published an update on dyslipidemia management (38). The recommendations of this report resemble in many ways those of the 2018 AHA/ACC guidelines (1). But notable differences can be identified for specific recommendations. A review of these differences may help to identify gaps in knowledge needed to format best recommendations. In the following, recommendations proposed by AHA/ACC and by ESC/EAS will be compared. These comparisons should illuminate areas of uncertainty where more information is needed for definitive recommendations. At the same time, it is important to emphasize that in many critical areas the two sets of guidelines are in strong agreement. These will be noted first.

Agreement Between AHA/ACC and ESC/EAS Guidelines

There is agreement that elevated LDL-C is the major atherogenic lipoprotein and that LDL-C is the primary target of treatment. Likewise, both guidelines agree that the intensity of LDL-C lowering therapy should depend on absolute risk to patients. In other words, patients who have the highest risk should receive the most intensive cholesterol reduction. Both guidelines emphasize therapeutic lifestyle intervention as the foundation of risk reduction, both for elevated cholesterol and for other risk factors. The highest risk patients are those with ASCVD and are potential candidates for combined drug therapy for LDL-C lowering. For primary prevention, the intensity of treatment depends on absolute risk as determined by population-based algorithms. For drug therapy, statins are first-line treatment, but in highest risk patients, consideration can be given to adding non-statin drugs (e.g., ezetimibe and PCSK9 inhibitors). Beyond population-based algorithms for primary prevention, measurement of other dyslipidemia markers, or other higher risk conditions can be used as risk- enhancing factors to modify intensity of lipid-lowering therapy.

Differences Between AHA/ACC and ESC/EAS Guidelines

DEFINITION OF VERY HIGH RISK

This definition is important because it sets the stage for considering intensive LDL-C lowering and the use of combined drug therapy for LDL-C lowering. AHA/ACC defines very high risk as a history of multiple ASCVD events or of one event + multiple high-risk conditions. This limits the definition of very high risk to the highest risk patients among those with ASCVD. In contrast, ESC/EAS considers all patients with clinical ASCVD or ASCVD on imaging as very high risk. Additionally, ESC/EAS allows extension of the definition to highest risk patients in primary prevention, that is, to patients with multiple risk factors and/or subclinical atherosclerosis (table 9). Overall, more patients will be identified as being at very high risk by ESC/EAS guidelines. This could enlarge the usage of PCSK9 inhibitors. AHA/ACC limits the use of PCSK9 inhibitors to patients at highest risk, because of their high cost. One recent study (43) showed that only about 10% of patients with established ASCVD will be eligible for PCSK9 inhibitors by AHA/ACC recommendations.

Table 9.

ESC/EAS Cardiovascular Risk Categories

Very High-Risk
ASCVD, either clinical or unequivocal on imaging
DM with target organ damage or at least three major risk factors or T1DM of long duration (>20 years)
Severe CKD (eGFR <30 mL/min/1.73 m2)
A calculated SCORE >10% for 10-year risk of fatal CVD.
FH with ASCVD or with another major risk factor
High-Risk
Markedly elevated single risk factors, in particular Total Cholesterol >8 mmol/L (>310mg/dL), LDL-C >4.9 mmol/L (>190 mg/dL), or BP >180/110 mmHg.
Patients with FH without other major risk factors.
Patients with DM without target organ damage, with DM duration > 10 years or another additional risk factor.
Moderate CKD (eGFR 30-59 mL/min/1.73 m2).
A calculated SCORE >5% and <10% for 10-year risk of fatal CVD.
Moderate Risk
Young patients (T1DM <35 years; T2DM <50 years) with DM duration <10 years, without other risk factors.
Calculated SCORE >1% and <5% for 10-year risk of fatal CVD*.
Low Risk
Calculated SCORE <1% for 10-year risk of fatal CVD

SCORE= Systematic Coronary Risk Estimation. * Total CVD event risk is approximately three times higher than the risk of fatal CVD.

GOALS FOR LDL-C

In 2013, the AHA/ACC eliminated specific numerical goals for LDL-C in both primary and secondary prevention. Recommendations for LDL-C lowering therapy were based exclusively on RCTs of statin therapy. These recommendations have been criticized for lacking a means to evaluate the efficacy of statin therapy. In 2018, AHA/ACC identified 2 goals for LDL-C lowering, namely, ≥ 50% LDL-C reduction in secondary prevention and ≥ 35% reduction in primary prevention. These values are based on the expected reductions achieved by high-intensity statins for secondary prevention and by moderate-intensity statins for primary prevention. Again, no numerical targets are identified. The only exception was the recognition of an LDL-C threshold goal of 1.8 mmol/L (70 mg/dL) for consideration of PCSK9 inhibitors in very high-risk patients on maximal statin therapy + ezetimibe.

ESC/EAS supports the 50% reduction of LDL-C in high-risk patients but also includes a goal of <1.8 mmol/L (70 mg/dL) (table 10). This goal applies to all high-risk patients, whether in primary or secondary prevention. For very high-risk patients, the goal is an LDL-C of < 1.4 mmol/L (55 mg/dL). For moderate-risk patients in primary prevention, the goal is LDL-C <2.6 mmol/L (100 mg/dL). The guideline task force presumably believed that having defined LDL-C goals facilitates cholesterol-lowering therapy in clinical practice. Additionally, following the ESC/EAS LDL-C goals will most likely result in lower LDL-C levels in many patients.

Table 10.

ESC/EAS LDL Cholesterol Goals

Very High RiskLDL-C reduction of >50% from baseline and an LDL-C goal of <1.4 mmol/L (<55 mg/dL) is recommended
High RiskLDL-C reduction of >50% from baseline and an LDL-C goal of <1.8 mmol/L (<70 mg/dL) is recommended
Moderate RiskLDL-C goal of <2.6 mmol/L (<100 mg/dL) should be considered
Low RiskLDL-C goal <3.0 mmol/L (<116 mg/dL) may be considered.

In patients with ASCVD who experience a second vascular event within 2 years while on maximally tolerated statin therapy an LDL-C goal of < 1mMol/L (40mg/dL) may be considered.

In addition, the ESC/EAS also provided goals for non-HDL-C and apolipoprotein B (table 11).

Table 11.

ESC/EAS Goals of Therapy

Non-HDL-CApo B
Very High Risk<85mg/d;<65mg/dL
High Risk<100mg/dL<80mg/dL
Moderate Risk<130mg/dL<100mg/dL

Figure 7 provides an overview of the ESC/EAS recommended treatment based on risk and baseline LDL-C levels.

Figure 7. . ESC/EAS treatment recommendations based on risk and baseline LDL-C levels.

Figure 7.

ESC/EAS treatment recommendations based on risk and baseline LDL-C levels.

RISK ESTIMATION FOR PRIMARY PREVENTION

AHA/ACC employed a pooled cohort equation (PCE) developed from five large population groups in the USA to estimate 10-year risk (and lifetime risk) for ASCVD events. ESC/EAS for several years has employed a SCORE algorithm based on risk for ASCVD mortality in European populations. Both PCE and SCORE are used to define “statin eligibility” for primary prevention. A study suggests that more people are “eligible” for statin therapy using PCE compared to SCORE (66). If this finding can be confirmed, it suggests that ESC/EAS guidelines are less aggressive for reducing LDL-C in lower risk individuals (compared to AHA/ACC guidelines). In contrast, ESC/EAS appears to be more aggressive in use of non-statins for LDL lowering in higher risk patients than is AHA/ACC.

RISK ENHANCING FACTORS

AHA/ACC proposed that several risk enhancing factors favor the decision to use statin therapy in patients at intermediate risk. The European guidelines provide a similar list of factors that should be considered in determining risk and modifying the SCORE result. Notable among risk enhancing factors were apolipoprotein B (apoB) and lipoprotein (a) (Lp[a]).

SUBCLINICAL ATHEROSCLEROSIS

AHA/ACC propose that CAC measurement can assist in deciding whether to use statin therapy in patients at intermediate risk. AHA/ACC in particular noted that the absence of CAC justifies delaying statin therapy. No other modalities of measurement of subclinical atherosclerosis were advocated by AHA/ACC. In contrast, ESC/EAS supported use of both CAC and carotid or femoral plaque burden on ultrasonography to determine risk. These guidelines suggest that the finding of substantial subclinical atherosclerosis in any arterial bed elevates a patient’s risk to the category of established ASCVD and can justify adding non-statin therapy to statins in such patients.

GUIDELINE SPECIFICITY

AHA/ACC guidelines place great emphasis on data from RCTs to justify its recommendations. However, RTC’s related to specific questions typically are limited in number. AHA/ACC recommendations are highly codified and kept to a minimum. ESC/EAS in contrast bases its recommendations both on clinical trials and other types of evidence. It explores available evidence in greater detail, and many of its recommendations are more nuanced. This approach to guideline development has its advantages and disadvantages. For example, it gives the reader a broader base of information to assist in clinical decisions. On the other hand, many of its recommendations are made outside of an RCT-evidence base. Without doubt, cholesterol management in all age and gender groups with various risk factor profiles is complex. The ESC/EAS attempts to provide a rationale for management of this complexity. The AHA/ACC, on the other hand, simplifies management as much as possible; it is written specifically for the general practitioner, and leaves the complexities of management to a lipid specialist. ESC/EAS delves into the complexities in more detail so that its recommendations are applicable to both the general practitioner and specialist.

IMPORTANT CHANGES SINCE THESE GUIDELINES WERE PUBLISHED

Risk Calculators

PREVENT RISK CACULATOR

In the US there is a new risk calculator called PREVENT (67). The PREVENT risk calculator is based on a much larger and more contemporary sample than the pooled cohort equation (PCE) risk calculator (68). Prevent is based on data from more than 6 million individuals from 46 datasets, including both population research studies and health system electronic medical records. In contrast, PCE was derived from approximately 25,000 individuals from 5 research datasets.

There are several notable differences between the PREVENT and PCE risk calculators.

1) PREVENT calculates risk in patients age 30-79 whereas PCE calculates risk in patients age 40-75.

2) The PCE calculator uses age, gender, white or African American, total cholesterol, HDL-C, systolic BP, whether on treatment for BP, whether diabetic, and whether smoker as the variables to calculate risk. PREVENT uses age, gender, total cholesterol, HDL-C, systolic BP, BMI, eGFR, whether on BP or lipid lowering medications (i.e., statins), whether diabetic, and whether a current smoker to calculate risk. In addition, PREVENT allows for the use of optional variables, HbA1c, urine albumin/creatinine ratio, and Zip Code (for estimating social deprivation index) for further personalization of risk assessment. Note that PREVENT does not use race or ethnicity but does include variables related to glucose metabolism, renal disease, and obesity and can be used in patients taking statins .

3) The main result for the PCE calculator is the 10-year risk of cardiovascular disease. The main result of the PREVENT calculator is both the 10-year and 30-year risk (if <60 years of age) of cardiovascular disease, ASCVD only, and heart failure only.

It should be noted that fewer patients will be identified as eligible for statin therapy using the PREVENT calculator compared to the PCE calculator. A study found that 18.8% of patients eligible for statin therapy using the PCE calculator would not be identified using the PREVENT calculator (69). Another study found that using the PREVENT calculator would reclassify approximately half of US adults to lower risk categories compared to the PCE calculator (70). Additionally, studies have shown that the mean estimated 10-year ASCVD risk is approximately 50% lower with the PREVENT calculator compared to the PCE calculator (71,72).

The current recommendations for treatment were based on the PCE risk estimates and thus, there are concerns that using the PREVENT calculator may result in not treating as many patients. New AHA/ACC guidelines are being developed, and it is possible that the new recommendations will be adjusted to compensate for the differences in the risk calculated using the PCE and PREVENT calculators. Some experts recommend using the PCE calculator when deciding on treatment if one is following the current AHA/ACC guidelines.

SCORE2 RISK CALCULATOR

The SCORE risk calculator was developed in 2003 to determine the 10-year cardiovascular mortality in healthy individuals (73). In 2021 SCORE was replaced by SCORE2, which updated the risk prediction algorithms and in instead of determining cardiovascular mortality determines cardiovascular disease which includes cardiovascular mortality and non-fatal myocardial function and stroke endpoints (74). The prediction model in SCORE2 was based on 45 cohorts with 677,684 individuals from 13 countries. In addition, SCORE2-OP estimates cardiovascular risk in individuals greater than 70 years of age or older and SCORE2-Diabetes estimates cardiovascular risk in patients with type 2 diabetes (75,76) (https://www.escardio.org/Education/ESC-Prevention-of-CVD-Programme/Risk-assessment/esc-cvd-risk-calculation-app)

The variables used in SCORE2 to calculate risk are age (40-69), sex, smoking, systolic BP, total cholesterol, HDL-C, and whether they live in a low, moderate, high, or very high-risk region (see below). SCORE2 provides an estimate of the 10-year risk of cardiovascular disease. Low-risk countries: Belgium, Denmark, France, Israel, Luxembourg, Norway, Spain, Switzerland, the Netherlands, and the United Kingdom (UK). Moderate-risk countries: Austria, Cyprus, Finland, Germany, Greece, Iceland, Ireland, Italy, Malta, Portugal, San Marino, Slovenia, and Sweden. High-risk countries: Albania, Bosnia and Herzegovina, Croatia, Czech Republic, Estonia, Hungary, Kazakhstan, Poland, Slovakia, and Turkey. Very high-risk countries: Algeria, Armenia, Azerbaijan, Belarus, Bulgaria, Egypt, Georgia, Kyrgyzstan, Latvia, Lebanon, Libya, Lithuania, Montenegro, Morocco, Republic of Moldova, Romania, Russian Federation, Serbia, Syria, The Former Yugoslav Republic (Macedonia), Tunisia, Ukraine, and Uzbekistan.

In individuals 70 years of age or older one should use the SCORE2-OP calculator and for individuals with type 2 diabetes one should use the SCORE2-Diabetes calculator. SCORE2-OP uses the same variables as SCORE2, but SCORE2-Diabetes includes HbA1c, age at diagnosis of diabetes, and eGFR. Both provide an estimate of the 10-year risk of cardiovascular disease.

In conjunction with the development of SCORE2 the European Society of Cardiology developed guidelines for healthy individuals (77). The conversion of 10-year risk to CVD risk categories for healthy individuals is shown in Table 12 and LDL-C goals for these CVD risk categories are shown in table 13. Note that the use of very high risk and high risk is not equivalent to the use of these terms in the ESC/EAS lipid guidelines discussed above.

Table 12.

Cardiovascular Disease Risk Categories Based on SCORE2 and SCORE2-OP in Healthy Individuals

<50 years50–69 years≥70 years
Low-to-moderate CVD risk: risk factor treatment generally not recommended<2.5%<5%<7.5%
High CVD risk: risk factor treatment should be considered2.5 to <7.5%5 to <10%7.5 to <15%
Very high CVD risk: risk factor treatment generally recommended≥7.5%≥10%≥15%

Table 13.

LDL-C Goal Less Than 100mg/dL

AgeLow-to-moderate CVD riskHigh CVD riskVery high CVD risk
< 50Usually not indicatedConsiderRecommended
50-69Usually not indicatedConsiderRecommended
>70Usually not indicatedConsiderRecommended

In all age groups, consideration of risk modifiers, lifetime CVD risk, treatment benefit, comorbidities, frailty, and patient preferences may further guide treatment decisions.

KEY PRINCIPLES

There are certain key principles that clinicians should utilize when deciding who to treat and how aggressively to treat hypercholesterolemia. Understanding these principles will allow clinicians to help their patients decide on the best approach to LDL-C lowering.

The Sooner the Better

It is widely recognized that atherosclerosis begins early in life and slowly progresses ultimately resulting in clinical manifestations later in life (78). Several studies have demonstrated the presence of atherosclerosis in young individuals (79-83). The extent of the atherosclerotic lesions correlates positively with total cholesterol and LDL-C and negatively with HDL-C levels (79,80,83-90). These studies clearly demonstrate that atherosclerosis begins early in life with the prevalence increasing with age and the extent and onset of lesions is influenced by total cholesterol and LDL-C levels. Moreover, an increased total cholesterol early in life also predicted an increased risk of developing cardiovascular disease later in life (91-93).

Genetic studies have further illustrated the key role of exposure to total cholesterol and LDL-C in determining the time when clinical manifestations of ASCVD occur. In patients with homozygous familial hypercholesterolemia (FH), LDL-C are markedly elevated, and cardiovascular events can occur early in life. Greater than 50% of untreated patients with homozygous FH develop clinically significant ASCVD by the age of 30 and cardiovascular events can occur before age 10 in some patients (45). In patients with heterozygous FH LDL-C levels are elevated but not to the levels seen with homozygous FH and cardiovascular events occur later in life but still at a relatively younger age. Untreated males with heterozygous FH have a 50% risk for a fatal or non-fatal myocardial infarction by 50 years of age whereas untreated females have a 30% chance by age 60 (45). Conversely, individuals with genetic variants in PCSK9, HMG-CoA reductase, LDL receptor, NPC1L1, or ATP citrate lyase that lead to a decrease in LDL-C levels have a reduced risk of developing cardiovascular events (50,51). The relationship between genetic disorders that alter LDL-C levels and the time to develop clinical cardiovascular events is illustrated in figure 4. The figure clearly illustrates that the age when one clinically manifests ASCVD depends on the level of LDL-C. With very high LDL-C levels clinical events occur early in life and with low LDL-C levels events will occur at an older age leading to the concept of LDL years.

Of major importance is that the reduction in ASCVD events is much greater in individuals with lifelong decreases in LDL-C compared to the reductions in ASCVD events seen with statin treatment (Table 14). A lifelong 10mg/dL decrease in LDL-C due to polymorphisms in genes that affect LDL-C is associated with a 16-18% decrease in ASCVD events (51). In contrast, a decrease in LDL-C of 39mg/dL over 4-5 years with statin therapy results in only a 22% decrease in ASCVD events (6,9). Thus, a life-long decrease in LDL-C levels results in a decrease in cardiovascular events that is three to four times as great as that seen with short-term LDL-C lowering with drugs. Figure 8 illustrates the benefits of early treatment in reducing LDL-C years and delaying the development of ASCVD.

Table 14.

Effect of Reduction in LDL-C by Genetic Variants on the Risk of ASCVD

GeneOdds ratio for ASCVD events per 10mg/dL decrease in LDL-C
(95% CI)
ATP citrate lyase0.82 (0.78–0.87)
HMG CoA reductase0.84 (0.82–0.87)
NPC1L10.84 (0.79–0.89)
PCSK90.83 (0.80–0.87)
LDL receptor0.83 (0.80–0.87)

Statin treatment decreases ASCVD by approximately 22% per 39mg/dL decrease in LDL-C.

Figure 8. . The effect of early lowering of LDL-C on the development of ASCVD.

Figure 8.

The effect of early lowering of LDL-C on the development of ASCVD.

In addition to calculating the 10-year risk of ASCVD events it is important to calculate either the lifetime or 30-year risk. This is particularly important in younger individuals where the 10-year risk of ASCVD events may be relatively low, but the long-term risk may be high. In the discussion of therapy with patients they need to be aware of their long-term risk and the potential advantages of early treatment.

Lowering LDL-C levels by lifestyle changes early in life will have long-term benefits. Additionally, in selected individuals initiating drug therapy sooner rather than latter will reduce ASCVD events later in life.

The Lower the Better

A variety of different types of studies have clearly demonstrated that more robust lowering of LDL-C results in an increased decrease in ASCVD events.

1) Statin trials have demonstrated that ASCVD events are decreased even in patients with low LDL-C levels (10). In patients with an LDL-C less than 70mg/dL, statin treatment resulted in a 37% decrease in ASCVD events despite the patients having a low LDL-C.

2) Intensive statin therapy results in a greater decrease in LDL-C levels compared to moderate statin therapy. Moreover, intensive therapy also results in a greater decrease in ASCVD events (10).

3) Adding ezetimibe to statin therapy resulted in a lower LDL-C than statin therapy alone and furthermore decreased ASCVD events (16).

4) Adding a PCSK9 inhibitor to statin therapy decreases LDL-C levels and results in a greater reduction in ASCVD events than statins alone (19,20).

Taken together these studies clearly demonstrate that the lower the LDL-C level the greater the decrease in ASCVD events. However, there may be a threshold where further lowering of LDL-C does not result in further benefits. In the ODYSSEY trial using the PCSK9 inhibitor alirocumab, the decrease in ASCVD events was similar in patients with an LDL-C less than 25mg/dL and those with an LDL-C between 25-50mg/dL (94). Future studies are required to define if there is a threshold where further LDL-C lowering is not beneficial.

Clinicians need to balance the benefits of more aggressively lowering LDL-C levels with the risks and costs of high dose or additional drug therapy. Both statins and ezetimibe are generic drugs and very inexpensive. Thus, in many patients the use of the combination of a statin (either high intensity or moderate intensity) and ezetimibe will maximize the decrease in LDL-C and more effectively reduce ASCVD events, with minimal risk and at low cost. In contrast, PCSK9 inhibitors and bempedoic acid are relatively expensive and clinicians will need to balance the benefits and the increased costs.

The Higher the LDL-C the Greater the Benefit

The percent decrease in LDL-C levels that occurs with statin treatment or the use of other LDL-C lowering drugs is similar regardless of the baseline LDL-C level. However, the absolute decrease in LDL-C will be greater if the starting LDL-C is higher. As discussed earlier, the Cholesterol Treatment Trialists demonstrated that the relative risk reduction in cardiovascular events per 39mg/dL (1mmol/L) decrease in LDL-C is similar in patients with a low or high baseline LDL-C level. Thus, as shown in table 15 the treatment of patients with high baseline LDL-C levels will result in greater decreases in ASCVD events. A meta-analysis of 34 trials with 270,288 individuals found that LDL-C lowering was associated with a progressively greater relative risk reduction in ASCVD events in patients with increased baseline LDL-C levels (95).

Table 15.

The Higher the Baseline LDL-C the Greater the Reduction in ASCVD

Baseline LDL-C 80mg/dLBaseline LDL-C 160mg/dL
Atorvastatin 80mg reduces LDL-C by 50% to 40mg/dl (40mg/dL decrease)Atorvastatin 80mg reduces LDL-C by 50% to 80mg/dl (80mg/dL decrease)
A 40mg/dL decrease in LDL-C will result in an approximate 22% decrease in ASCVD eventsAn 80mg/dL decrease in LDL-C will result in an approximate 44% decrease in ASCVD events

The Greater the Risk of ASCVD the Greater the Benefit

Analysis by the Cholesterol Treatment Trialists found that the relative risk reduction was similar regardless of the underlying ASCVD risk (9). However, the absolute risk reduction was much greater in patients with a high risk of ASCVD (table 16) (9). Additionally, studies have shown that in patients with a high polygenic risk score for ASCVD events statin therapy reduces ASCVD events to a greater extent again indicating the higher the risk the greater the benefit of lowering LDL-C (96,97).

Table 16.

Risk of Cardiovascular Events in High and Low Risk Patients

5-year event riskRelative Risk (CI) per 39mg/dL reduction in LDL-CAbsolute Decrease in Events per Annum*
<10%0.68 (0.62-0.74)0.3%
10-20%0.79 (0.75-0.84)0.5%
20-30%0.81 (0.78-0.851.1%
>30%0.79 (0.75-0.832.2%
*

Percent of patients on placebo having an event minus percent of patients on statin therapy having an event. Data from Cholesterol Treatment Trialists (9).

In the IMPROVE-IT trial lowering LDL-C with ezetimibe and the ODYSSEY and FOURIER trials using PCSK9 inhibitors a greater reduction in ASCVD events was observed in high risk patients (see reference (98) for discussion of these studies). Table 17 provides a list of indicators of high risk.

Table 17.

High Risk Indicators for ASCVD Events

Diabetes
Atherosclerosis in multiple sites (peripheral arterial disease, cerebral vascular disease, coronary arteries)
History of prior coronary artery bypass graft surgery
Acute coronary syndrome
Multiple MIs
Recent ASCVD events
Genetic lipid disorders
High polygenic risk score

Following these general principles will help clinicians make informed decisions in deciding on their approach to lowering LDL-C levels and will facilitate discussions with patients on the benefits and risks of treatment. For an in-depth discussion of these key principles see the following references (98,99).

SUMMARY

Advances in the drug therapy of elevated cholesterol levels offer great potential for reducing both new-onset ASCVD and recurrent ASCVD events in those with established disease. This benefit can be enhanced by judicious use of lifestyle intervention. But among drugs, statins are first-line therapy. They are generally safe and inexpensive. They have been shown to reduce ASCVD events in both secondary and primary prevention. Ezetimibe has about half the LDL-lowering efficacy of statins; it too is generally safe and is a relatively inexpensive genetic drug. Ezetimibe can be used as an add-on drug to moderate intensity statins, especially for those who do not tolerate a high-intensity statin or in combination with high intensity statins to markedly decrease LDL-C levels. PCSK9 inhibitors are powerful LDL-lowering drugs, and they appear to be safe. The major drawback is cost. If the cost of these inhibitors can be reduced, they too have the potential for wide usage, especially in patients who are “statin intolerant”. Bempedoic acid has been shown to reduce ASCVD events in statin intolerant patients and in combination with ezetimibe can result in significant decreases in LDL-C levels. A major challenge for use of cholesterol-lowering drugs is the problem of long-term non-adherence.

ACKNOWLEDGEMENTS

Dr. Scott Grundy who recently died was the original author of this chapter and this chapter is an update of his chapter. This chapter is dedicated to Dr. Grundy who has been an inspiration to lipidologists worldwide.

This work was supported by grants from the Northern California Institute for Research and Education.

REFERENCES

1.
Grundy SM, Stone NJ, Bailey AL, Beam C, Birtcher KK, Blumenthal RS, Braun LT, de Ferranti S, Faiella-Tommasino J, Forman DE, Goldberg R, Heidenreich PA, Hlatky MA, Jones DW, Lloyd-Jones D, Lopez-Pajares N, Ndumele CE, Orringer CE, Peralta CA, Saseen JJ, Smith SC, Sperling L, Virani SS, Yeboah J. 2018 AHA/ACC/AACVPR/AAPA/ABC/ACPM/ADA/AGS/APhA/ASPC/NLA/PCNA Guideline on the Management of Blood Cholesterol: Executive Summary: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation 2019; 139:e1082-e1143 [PMC free article: PMC7403606] [PubMed: 30586774]
2.
Aragam KG, Natarajan P. Polygenic Scores to Assess Atherosclerotic Cardiovascular Disease Risk: Clinical Perspectives and Basic Implications. Circ Res 2020; 126:1159-1177 [PMC free article: PMC7926201] [PubMed: 32324503]
3.
Goldstein JL, Brown MS. A century of cholesterol and coronaries: from plaques to genes to statins. Cell 2015; 161:161-172 [PMC free article: PMC4525717] [PubMed: 25815993]
4.
Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) Final Report. Circulation 2002; 106:3143-3421 [PubMed: 12485966]
5.
Law MR, Wald NJ, Thompson SG. By how much and how quickly does reduction in serum cholesterol concentration lower risk of ischaemic heart disease? BMJ 1994; 308:367-372 [PMC free article: PMC2539460] [PubMed: 8043072]
6.
Cholesterol Treatment Trialists Collaboration, Mihaylova B, Emberson J, Blackwell L, Keech A, Simes J, Barnes EH, Voysey M, Gray A, Collins R, Baigent C. The effects of lowering LDL cholesterol with statin therapy in people at low risk of vascular disease: meta-analysis of individual data from 27 randomised trials. Lancet 2012; 380:581-590 [PMC free article: PMC3437972] [PubMed: 22607822]
7.
Endo A. The discovery and development of HMG-CoA reductase inhibitors. Journal of Lipid Research 1992; 33:1569-1582 [PubMed: 1464741]
8.
Feingold KR. Cholesterol Lowering Drugs. In: Feingold KR, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrère B, Levy M, McGee EA, McLachlan R, Muzumdar R, Purnell J, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, DP W, eds. Endotext. South Dartmouth (MA)2024.
9.
Cholesterol Treatment Trialists Collaboration, Fulcher J, O'Connell R, Voysey M, Emberson J, Blackwell L, Mihaylova B, Simes J, Collins R, Kirby A, Colhoun H, Braunwald E, La Rosa J, Pedersen TR, Tonkin A, Davis B, Sleight P, Franzosi MG, Baigent C, Keech A. Efficacy and safety of LDL-lowering therapy among men and women: meta-analysis of individual data from 174,000 participants in 27 randomised trials. Lancet 2015; 385:1397-1405 [PubMed: 25579834]
10.
Cholesterol Treatment Trialists’ C, Baigent Collaboration, Blackwell L, Emberson J, Holland LE, Reith C, Bhala N, Peto R, Barnes EH, Keech A, Simes J, Collins R. Efficacy and safety of more intensive lowering of LDL cholesterol: a meta-analysis of data from 170,000 participants in 26 randomised trials. Lancet 2010; 376:1670-1681 [PMC free article: PMC2988224] [PubMed: 21067804]
11.
Cholesterol Treatment Trialists Collaboration. Efficacy and safety of statin therapy in older people: a meta-analysis of individual participant data from 28 randomised controlled trials. Lancet 2019; 393:407-415 [PMC free article: PMC6429627] [PubMed: 30712900]
12.
Cholesterol Treatment Trialists Collaboration, Kearney PM, Blackwell L, Collins R, Keech A, Simes J, Peto R, Armitage J, Baigent C. Efficacy of cholesterol-lowering therapy in 18,686 people with diabetes in 14 randomised trials of statins: a meta-analysis. Lancet 2008; 371:117-125 [PubMed: 18191683]
13.
Silverman MG, Ference BA, Im K, Wiviott SD, Giugliano RP, Grundy SM, Braunwald E, Sabatine MS. Association Between Lowering LDL-C and Cardiovascular Risk Reduction Among Different Therapeutic Interventions. JAMA 2016; 316:1289-1297 [PubMed: 27673306]
14.
The Lipid Research Clinics Coronary Primary Prevention Trial Results. JAMA 1984; 251:351-364 [PubMed: 6361299]
15.
Lakoski SG, Xu F, Vega GL, Grundy SM, Chandalia M, Lam C, Lowe RS, Stepanavage ME, Musliner TA, Cohen JC, Hobbs HH. Indices of cholesterol metabolism and relative responsiveness to ezetimibe and simvastatin. J Clin Endocrinol Metab 2010; 95:800-809 [PMC free article: PMC3079219] [PubMed: 19965915]
16.
Cannon CP, Blazing MA, Giugliano RP, McCagg A, White JA, Theroux P, Darius H, Lewis BS, Ophuis TO, Jukema JW, De Ferrari GM, Ruzyllo W, De Lucca P, Im K, Bohula EA, Reist C, Wiviott SD, Tershakovec AM, Musliner TA, Braunwald E, Califf RM. Ezetimibe Added to Statin Therapy after Acute Coronary Syndromes. New England Journal of Medicine 2015; 372:2387-2397 [PubMed: 26039521]
17.
Bohula EA, Morrow DA, Giugliano RP, Blazing MA, He P, Park J-G, Murphy SA, White JA, Kesaniemi YA, Pedersen TR, Brady AJ, Mitchel Y, Cannon CP, Braunwald E. Atherothrombotic Risk Stratification and Ezetimibe for Secondary Prevention. Journal of the American College of Cardiology 2017; 69:911-921 [PubMed: 28231942]
18.
Lo Surdo P, Bottomley MJ, Calzetta A, Settembre EC, Cirillo A, Pandit S, Ni YG, Hubbard B, Sitlani A, Carfí A. Mechanistic implications for LDL receptor degradation from the PCSK9/LDLR structure at neutral pH. EMBO Rep 2011; 12:1300-1305 [PMC free article: PMC3245695] [PubMed: 22081141]
19.
Sabatine MS, Giugliano RP, Keech AC, Honarpour N, Wiviott SD, Murphy SA, Kuder JF, Wang H, Liu T, Wasserman SM, Sever PS, Pedersen TR. Evolocumab and Clinical Outcomes in Patients with Cardiovascular Disease. New England Journal of Medicine 2017; 376:1713-1722 [PubMed: 28304224]
20.
Schwartz GG, Steg PG, Szarek M, Bhatt DL, Bittner VA, Diaz R, Edelberg JM, Goodman SG, Hanotin C, Harrington RA, Jukema JW, Lecorps G, Mahaffey KW, Moryusef A, Pordy R, Quintero K, Roe MT, Sasiela WJ, Tamby J-F, Tricoci P, White HD, Zeiher AM. Alirocumab and Cardiovascular Outcomes after Acute Coronary Syndrome. New England Journal of Medicine 2018; 379:2097-2107 [PubMed: 30403574]
21.
Burke AC, Telford DE, Huff MW. Bempedoic acid: effects on lipoprotein metabolism and atherosclerosis. Curr Opin Lipidol 2019; 30:1-9 [PubMed: 30586346]
22.
Nissen SE, Menon V, Nicholls SJ, Brennan D, Laffin L, Ridker P, Ray KK, Mason D, Kastelein JJP, Cho L, Libby P, Li N, Foody J, Louie MJ, Lincoff AM. Bempedoic Acid for Primary Prevention of Cardiovascular Events in Statin-Intolerant Patients. JAMA 2023; 330:131-140 [PMC free article: PMC10336623] [PubMed: 37354546]
23.
Feingold KR. Triglyceride Lowering Drugs. In: Feingold KR, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrère B, Levy M, McGee EA, McLachlan R, Muzumdar R, Purnell J, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, DP W, eds. Endotext. South Dartmouth (MA)2024.
24.
Cleeman JI, Lenfant C. New guidelines for the treatment of high blood cholesterol in adults from the National Cholesterol Education Program. From controversy to consensus. Circulation 1987; 76:960-962 [PubMed: 3308167]
25.
Report of the National Cholesterol Education Program Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults. The Expert Panel. Archives of Internal Medicine 1988; 148:36-69 [PubMed: 3422148]
26.
National Cholesterol Education Program. Second Report of the Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel II). Circulation 1994; 89:1333-1445 [PubMed: 8124825]
27.
Grundy SM, Cleeman JI, Bairey Merz CN, Brewer HB, Clark LT, Hunninghake DB, Pasternak RC, Smith SC, Stone NJ. Implications of Recent Clinical Trials for the National Cholesterol Education Program Adult Treatment Panel III Guidelines. Journal of the American College of Cardiology 2004; 44:720-732 [PubMed: 15358046]
28.
Stone NJ, Robinson JG, Lichtenstein AH, Bairey Merz CN, Blum CB, Eckel RH, Goldberg AC, Gordon D, Levy D, Lloyd-Jones DM, McBride P, Schwartz JS, Shero ST, Smith SC, Watson K, Wilson PWF. 2013 ACC/AHA Guideline on the Treatment of Blood Cholesterol to Reduce Atherosclerotic Cardiovascular Risk in Adults. Journal of the American College of Cardiology 2014; 63:2889-2934 [PubMed: 24239923]
29.
Institute of Medicine Committee on Standards for Developing Trustworthy Clinical Practice Guidelines. In: Graham R MM, Miller Wolman D, Greenfield S, Steinberg E, eds. Clinical Practice Guidelines We Can Trust. National Academies Press; 2011. [PubMed: 24983061]
30.
Goff DC, Jr., Lloyd-Jones DM, Bennett G, Coady S, D'Agostino RB, Sr., Gibbons R, Greenland P, Lackland DT, Levy D, O'Donnell CJ, Robinson JG, Schwartz JS, Shero ST, Smith SC, Jr., Sorlie P, Stone NJ, Wilson PWF. 2013 ACC/AHA guideline on the assessment of cardiovascular risk: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. Journal of the American College of Cardiology 2014; 63:2935-2959 [PMC free article: PMC4700825] [PubMed: 24239921]
31.
Muntner P, Colantonio LD, Cushman M, Goff DC, Jr., Howard G, Howard VJ, Kissela B, Levitan EB, Lloyd-Jones DM, Safford MM. Validation of the atherosclerotic cardiovascular disease Pooled Cohort risk equations. JAMA 2014; 311:1406-1415 [PMC free article: PMC4189930] [PubMed: 24682252]
32.
Ridker PM, Cook NR. Statins: new American guidelines for prevention of cardiovascular disease. The Lancet 2013; 382:1762-1765 [PubMed: 24268611]
33.
Kavousi M, Leening MJG, Nanchen D, Greenland P, Graham IM, Steyerberg EW, Ikram MA, Stricker BH, Hofman A, Franco OH. Comparison of Application of the ACC/AHA Guidelines, Adult Treatment Panel III Guidelines, and European Society of Cardiology Guidelines for Cardiovascular Disease Prevention in a European Cohort. JAMA 2014; 311:1416-1423 [PubMed: 24681960]
34.
DeFilippis AP, Young R, Carrubba CJ, McEvoy JW, Budoff MJ, Blumenthal RS, Kronmal RA, McClelland RL, Nasir K, Blaha MJ. An analysis of calibration and discrimination among multiple cardiovascular risk scores in a modern multiethnic cohort. Ann Intern Med 2015; 162:266-275 [PMC free article: PMC4414494] [PubMed: 25686167]
35.
Damen JA, Pajouheshnia R, Heus P, Moons KGM, Reitsma JB, Scholten RJPM, Hooft L, Debray TPA. Performance of the Framingham risk models and pooled cohort equations for predicting 10-year risk of cardiovascular disease: a systematic review and meta-analysis. BMC Med 2019; 17:109-109 [PMC free article: PMC6563379] [PubMed: 31189462]
36.
Rana JS, Tabada GH, Solomon MD, Lo JC, Jaffe MG, Sung SH, Ballantyne CM, Go AS. Accuracy of the Atherosclerotic Cardiovascular Risk Equation in a Large Contemporary, Multiethnic Population. Journal of the American College of Cardiology 2016; 67:2118-2130 [PMC free article: PMC5097466] [PubMed: 27151343]
37.
Ridker PM, Danielson E, Fonseca FAH, Genest J, Gotto AM, Kastelein JJP, Koenig W, Libby P, Lorenzatti AJ, MacFadyen JG, Nordestgaard BG, Shepherd J, Willerson JT, Glynn RJ. Rosuvastatin to Prevent Vascular Events in Men and Women with Elevated C-Reactive Protein. New England Journal of Medicine 2008; 359:2195-2207 [PubMed: 18997196]
38.
Mach F, Baigent C, Catapano AL, Koskinas KC, Casula M, Badimon L, Chapman MJ, De Backer GG, Delgado V, Ference BA, Graham IM, Halliday A, Landmesser U, Mihaylova B, Pedersen TR, Riccardi G, Richter DJ, Sabatine MS, Taskinen MR, Tokgozoglu L, Wiklund O, ESCSD Group. 2019 ESC/EAS Guidelines for the management of dyslipidaemias: lipid modification to reduce cardiovascular risk. Eur Heart J 2020; 41:111-188 [PubMed: 31504418]
39.
Arnett DK, Blumenthal RS, Albert MA, Buroker AB, Goldberger ZD, Hahn EJ, Himmelfarb CD, Khera A, Lloyd-Jones D, McEvoy JW, Michos ED, Miedema MD, Muñoz D, Smith SC, Jr., Virani SS, Williams KA, Sr., Yeboah J, Ziaeian B. 2019 ACC/AHA Guideline on the Primary Prevention of Cardiovascular Disease: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation 2019; 140:e596-e646 [PMC free article: PMC7734661] [PubMed: 30879355]
40.
Feingold KR. The Effect of Diet on Cardiovascular Disease and Lipid and Lipoprotein Levels. In: Feingold KR, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrère B, Levy M, McGee EA, McLachlan R, Muzumdar R, Purnell J, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, DP W, eds. Endotext. South Dartmouth (MA)2024.
41.
Kim BK, Hong SJ, Lee YJ, Hong SJ, Yun KH, Hong BK, Heo JH, Rha SW, Cho YH, Lee SJ, Ahn CM, Kim JS, Ko YG, Choi D, Jang Y, Hong MK, Racing investigators. Long-term efficacy and safety of moderate-intensity statin with ezetimibe combination therapy versus high-intensity statin monotherapy in patients with atherosclerotic cardiovascular disease (RACING): a randomised, open-label, non-inferiority trial. Lancet 2022; 400:380-390 [PubMed: 35863366]
42.
Fonarow GC, Keech AC, Pedersen TR, Giugliano RP, Sever PS, Lindgren P, van Hout B, Villa G, Qian Y, Somaratne R, Sabatine MS. Cost-effectiveness of Evolocumab Therapy for Reducing Cardiovascular Events in Patients With Atherosclerotic Cardiovascular Disease. JAMA Cardiol 2017; 2:1069-1078 [PMC free article: PMC5710446] [PubMed: 28832867]
43.
Virani SS, Akeroyd JM, Smith SC, Al-Mallah M, Maddox TM, Morris PB, Petersen LA, Ballantyne CM, Grundy SM, Stone NJ. Very High-Risk ASCVD and Eligibility for Nonstatin Therapies Based on the 2018 AHA/ACC Cholesterol Guidelines. Journal of the American College of Cardiology 2019; 74:712-714 [PubMed: 31370962]
44.
Khera AV, Won H-H, Peloso GM, Lawson KS, Bartz TM, Deng X, van Leeuwen EM, Natarajan P, Emdin CA, Bick AG, Morrison AC, Brody JA, Gupta N, Nomura A, Kessler T, Duga S, Bis JC, van Duijn CM, Cupples LA, Psaty B, Rader DJ, Danesh J, Schunkert H, McPherson R, Farrall M, Watkins H, Lander E, Wilson JG, Correa A, Boerwinkle E, Merlini PA, Ardissino D, Saleheen D, Gabriel S, Kathiresan S. Diagnostic Yield and Clinical Utility of Sequencing Familial Hypercholesterolemia Genes in Patients With Severe Hypercholesterolemia. Journal of the American College of Cardiology 2016; 67:2578-2589 [PMC free article: PMC5405769] [PubMed: 27050191]
45.
Warden BA, Fazio S, Shapiro MD. Familial Hypercholesterolemia: Genes and Beyond. In: Feingold KR, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrère B, Levy M, McGee EA, McLachlan R, Muzumdar R, Purnell J, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, DP W, eds. Endotext. South Dartmouth (MA)2024.
46.
Randomised trial of cholesterol lowering in 4444 patients with coronary heart disease: the Scandinavian Simvastatin Survival Study (4S). The Lancet 1994; 344:1383-1389 [PubMed: 7968073]
47.
Kashef MA, Giugliano G. Legacy effect of statins: 20-year follow up of the West of Scotland Coronary Prevention Study (WOSCOPS). Glob Cardiol Sci Pract 2016; 2016:e201635-e201635 [PMC free article: PMC5624184] [PubMed: 28979904]
48.
Feingold KR. Role of Glucose and Lipids in the Atherosclerotic Cardiovascular Disease of Patients with Diabetes. In: Feingold KR, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrère B, Levy M, McGee EA, McLachlan R, Muzumdar R, Purnell J, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, DP W, eds. Endotext. South Dartmouth (MA)2023.
49.
Lloyd-Jones DM, Braun LT, Ndumele CE, Smith SC, Sperling LS, Virani SS, Blumenthal RS. Use of Risk Assessment Tools to Guide Decision-Making in the Primary Prevention of Atherosclerotic Cardiovascular Disease: A Special Report From the American Heart Association and American College of Cardiology. Circulation 2019; 139:e1162-1177 [PubMed: 30586766]
50.
Horton JD, Cohen JC, Hobbs HH. PCSK9: a convertase that coordinates LDL catabolism. J Lipid Res 2009; 50 Suppl:S172-177 [PMC free article: PMC2674748] [PubMed: 19020338]
51.
Ference BA, Ray KK, Catapano AL, Ference TB, Burgess S, Neff DR, Oliver-Williams C, Wood AM, Butterworth AS, Di Angelantonio E, Danesh J, Kastelein JJP, Nicholls SJ. Mendelian Randomization Study of ACLY and Cardiovascular Disease. N Engl J Med 2019; 380:1033-1042 [PMC free article: PMC7612927] [PubMed: 30865797]
52.
Yebyo HG, Aschmann HE, Kaufmann M, Puhan MA. Comparative effectiveness and safety of statins as a class and of specific statins for primary prevention of cardiovascular disease: A systematic review, meta-analysis, and network meta-analysis of randomized trials with 94,283 participants. American Heart Journal 2019; 210:18-28 [PubMed: 30716508]
53.
Tota-Maharaj R, Blaha MJ, Blankstein R, Silverman MG, Eng J, Shaw LJ, Blumenthal RS, Budoff MJ, Nasir K. Association of coronary artery calcium and coronary heart disease events in young and elderly participants in the multi-ethnic study of atherosclerosis: a secondary analysis of a prospective, population-based cohort. Mayo Clin Proc 2014; 89:1350-1359 [PMC free article: PMC4424047] [PubMed: 25236430]
54.
Stone NJ, Smith SC, Jr., Orringer CE, Rigotti NA, Navar AM, Khan SS, Jones DW, Goldberg R, Mora S, Blaha M, Pencina MJ, Grundy SM. Managing Atherosclerotic Cardiovascular Risk in Young Adults: JACC State-of-the-Art Review. J Am Coll Cardiol 2022; 79:819-836 [PubMed: 35210038]
55.
Streja E, Feingold KR. Evaluation and Treatment of Dyslipidemia in the Elderly. In: Feingold KR, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, Muzumdar R, Purnell J, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA)2024.
56.
Banach M, Stulc T, Dent R, Toth PP. Statin non-adherence and residual cardiovascular risk: There is need for substantial improvement. International Journal of Cardiology 2016; 225:184-196 [PubMed: 27728862]
57.
Avorn J, Monette J, Lacour A, Bohn RL, Monane M, Mogun H, LeLorier J. Persistence of Use of Lipid-Lowering Medications. JAMA 1998; 279:1458 [PubMed: 9600480]
58.
Simons LA, Levis G, Simons J. Apparent discontinuation rates in patients prescribed lipid‐lowering drugs. Medical Journal of Australia 1996; 164:208-211 [PubMed: 8604188]
59.
Gamboa CM, Safford MM, Levitan EB, Mann DM, Yun H, Glasser SP, Woolley JM, Rosenson R, Farkouh M, Muntner P. Statin underuse and low prevalence of LDL-C control among U.S. adults at high risk of coronary heart disease. Am J Med Sci 2014; 348:108-114 [PMC free article: PMC4108514] [PubMed: 24892511]
60.
Blackburn DF, Dobson RT, Blackburn JL, Wilson TW, Stang MR, Semchuk WM. Adherence to statins, beta-blockers and angiotensin-converting enzyme inhibitors following a first cardiovascular event: a retrospective cohort study. Can J Cardiol 2005; 21:485-488 [PubMed: 15917876]
61.
Tobert JA, Newman CB. The nocebo effect in the context of statin intolerance. Journal of Clinical Lipidology 2016; 10:739-747 [PubMed: 27578103]
62.
Fitchett DH, Hegele RA, Verma S. Statin Intolerance. Circulation 2015; 131:e389-391 [PubMed: 25825402]
63.
Pasternak RC, Smith SC, Jr., Bairey-Merz CN, Grundy SM, Cleeman JI, Lenfant C, American College of Cardiology, American Heart Association, National Heart Lung, Blood Institute. ACC/AHA/NHLBI Clinical Advisory on the Use and Safety of Statins. Circulation 2002; 106:1024-1028 [PubMed: 12186811]
64.
Nissen SE, Stroes E, Dent-Acosta RE, Rosenson RS, Lehman SJ, Sattar N, Preiss D, Bruckert E, Ceška R, Lepor N, Ballantyne CM, Gouni-Berthold I, Elliott M, Brennan DM, Wasserman SM, Somaratne R, Scott R, Stein EA. Efficacy and Tolerability of Evolocumab vs Ezetimibe in Patients With Muscle-Related Statin Intolerance. JAMA 2016; 315:1580-1590 [PubMed: 27039291]
65.
Catapano AL, Graham I, De Backer G, Wiklund O, Chapman MJ, Drexel H, Hoes AW, Jennings CS, Landmesser U, Pedersen TR, Reiner Ž, Riccardi G, Taskinen M-R, Tokgozoglu L, Verschuren WMM, Vlachopoulos C, Wood DA, Zamorano JL. 2016 ESC/EAS Guidelines for the Management of Dyslipidaemias. European Heart Journal 2016; 37:2999-3058 [PubMed: 27567407]
66.
Lee JC, Zdrojewski T, Pencina MJ, Wyszomirski A, Lachacz M, Opolski G, Bandosz P, Rutkowski M, Gaciong Z, Wyrzykowski B, Navar AM. Population Effect of Differences in Cholesterol Guidelines in Eastern Europe and the United States. JAMA Cardiol 2016; 1:700-707 [PMC free article: PMC5803077] [PubMed: 27434662]
67.
Khan SS, Matsushita K, Sang Y, Ballew SH, Grams ME, Surapaneni A, Blaha MJ, Carson AP, Chang AR, Ciemins E, Go AS, Gutierrez OM, Hwang SJ, Jassal SK, Kovesdy CP, Lloyd-Jones DM, Shlipak MG, Palaniappan LP, Sperling L, Virani SS, Tuttle K, Neeland IJ, Chow SL, Rangaswami J, Pencina MJ, Ndumele CE, Coresh J, Chronic Kidney Disease Prognosis Consortium, the American Heart Association Cardiovascular-Kidney-Metabolic Science Advisory Group. Development and Validation of the American Heart Association's PREVENT Equations. Circulation 2024; 149:430-449 [PMC free article: PMC10910659] [PubMed: 37947085]
68.
Goff DC, Jr., Lloyd-Jones DM, Bennett G, Coady S, D'Agostino RB, Gibbons R, Greenland P, Lackland DT, Levy D, O'Donnell CJ, Robinson JG, Schwartz JS, Shero ST, Smith SC, Jr., Sorlie P, Stone NJ, Wilson PW, Jordan HS, Nevo L, Wnek J, Anderson JL, Halperin JL, Albert NM, Bozkurt B, Brindis RG, Curtis LH, DeMets D, Hochman JS, Kovacs RJ, Ohman EM, Pressler SJ, Sellke FW, Shen WK, Smith SC, Jr., Tomaselli GF, American College of Cardiology/American Heart Association Task Force on Practice Guidelines. 2013 ACC/AHA guideline on the assessment of cardiovascular risk: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. Circulation 2014; 129:S49-73 [PubMed: 24222018]
69.
Heaton J, Alshami A, Imburgio S, Upadhyaya V, Saybolt M, Apolito R, Hansalia R, Selan J, Almendral J, Sealove B. Comparison of pooled cohort equation and PREVENT risk calculator for statin treatment allocation. Atherosclerosis 2024; 399:118626 [PubMed: 39447456]
70.
Diao JA, Shi I, Murthy VL, Buckley TA, Patel CJ, Pierson E, Yeh RW, Kazi DS, Wadhera RK, Manrai AK. Projected Changes in Statin and Antihypertensive Therapy Eligibility With the AHA PREVENT Cardiovascular Risk Equations. JAMA 2024; 332:989-1000 [PMC free article: PMC11287447] [PubMed: 39073797]
71.
Anderson TS, Wilson LM, Sussman JB. Atherosclerotic Cardiovascular Disease Risk Estimates Using the Predicting Risk of Cardiovascular Disease Events Equations. JAMA Intern Med 2024; 184:963-970 [PMC free article: PMC11165411] [PubMed: 38856978]
72.
Carrillo-Larco RM. Cardiovascular predicted risk: A population-based comparison of the pooled cohorts equation and PREVENT. Int J Cardiol 2024; 414:132423 [PubMed: 39102945]
73.
Conroy RM, Pyorala K, Fitzgerald AP, Sans S, Menotti A, De Backer G, De Bacquer D, Ducimetiere P, Jousilahti P, Keil U, Njolstad I, Oganov RG, Thomsen T, Tunstall-Pedoe H, Tverdal A, Wedel H, Whincup P, Wilhelmsen L, Graham IM, SCORE Project Group. Estimation of ten-year risk of fatal cardiovascular disease in Europe: the SCORE project. Eur Heart J 2003; 24:987-1003 [PubMed: 12788299]
74.
Score working group, E. S. C. Cardiovascular risk collaboration. SCORE2 risk prediction algorithms: new models to estimate 10-year risk of cardiovascular disease in Europe. Eur Heart J 2021; 42:2439-2454 [PMC free article: PMC8248998] [PubMed: 34120177]
75.
Score Op working group, E. S. C. Cardiovascular risk collaboration. SCORE2-OP risk prediction algorithms: estimating incident cardiovascular event risk in older persons in four geographical risk regions. Eur Heart J 2021; 42:2455-2467 [PMC free article: PMC8248997] [PubMed: 34120185]
76.
S. CORE2-Diabetes Working Group, the E. S. C. Cardiovascular Risk Collaboration. SCORE2-Diabetes: 10-year cardiovascular risk estimation in type 2 diabetes in Europe. Eur Heart J 2023; 44:2544-2556 [PMC free article: PMC10361012] [PubMed: 37247330]
77.
Visseren FLJ, Mach F, Smulders YM, Carballo D, Koskinas KC, Back M, Benetos A, Biffi A, Boavida JM, Capodanno D, Cosyns B, Crawford C, Davos CH, Desormais I, Di Angelantonio E, Franco OH, Halvorsen S, Hobbs FDR, Hollander M, Jankowska EA, Michal M, Sacco S, Sattar N, Tokgozoglu L, Tonstad S, Tsioufis KP, van Dis I, van Gelder IC, Wanner C, Williams B, E. S. C. National Cardiac Societies, E. S. C. Scientific Document Group. 2021 ESC Guidelines on cardiovascular disease prevention in clinical practice. Eur Heart J 2021; 42:3227-3337 [PubMed: 34458905]
78.
Wilson DP. Is Atherosclerosis a Pediatric Disease? In: Feingold KR, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, Muzumdar R, Purnell J, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA)2020.
79.
Berenson GS, Srinivasan SR, Bao W, Newman WP, 3rd, Tracy RE, Wattigney WA. Association between multiple cardiovascular risk factors and atherosclerosis in children and young adults. The Bogalusa Heart Study. N Engl J Med 1998; 338:1650-1656 [PubMed: 9614255]
80.
McGill HC, Jr., McMahan CA, Malcom GT, Oalmann MC, Strong JP. Effects of serum lipoproteins and smoking on atherosclerosis in young men and women. The PDAY Research Group. Pathobiological Determinants of Atherosclerosis in Youth. Arterioscler Thromb Vasc Biol 1997; 17:95-106 [PubMed: 9012643]
81.
Tuzcu EM, Kapadia SR, Tutar E, Ziada KM, Hobbs RE, McCarthy PM, Young JB, Nissen SE. High prevalence of coronary atherosclerosis in asymptomatic teenagers and young adults: evidence from intravascular ultrasound. Circulation 2001; 103:2705-2710 [PubMed: 11390341]
82.
McNamara JJ, Molot MA, Stremple JF, Cutting RT. Coronary artery disease in combat casualties in Vietnam. JAMA 1971; 216:1185-1187 [PubMed: 5108403]
83.
Webber BJ, Seguin PG, Burnett DG, Clark LL, Otto JL. Prevalence of and risk factors for autopsy-determined atherosclerosis among US service members, 2001-2011. JAMA 2012; 308:2577-2583 [PubMed: 23268516]
84.
Newman WP, 3rd, Freedman DS, Voors AW, Gard PD, Srinivasan SR, Cresanta JL, Williamson GD, Webber LS, Berenson GS. Relation of serum lipoprotein levels and systolic blood pressure to early atherosclerosis. The Bogalusa Heart Study. N Engl J Med 1986; 314:138-144 [PubMed: 3455748]
85.
McGill HC, Jr., McMahan CA. Determinants of atherosclerosis in the young. Pathobiological Determinants of Atherosclerosis in Youth (PDAY) Research Group. Am J Cardiol 1998; 82:30T-36T [PubMed: 9860371]
86.
Davis PH, Dawson JD, Riley WA, Lauer RM. Carotid intimal-medial thickness is related to cardiovascular risk factors measured from childhood through middle age: The Muscatine Study. Circulation 2001; 104:2815-2819 [PubMed: 11733400]
87.
Juonala M, Magnussen CG, Venn A, Dwyer T, Burns TL, Davis PH, Chen W, Srinivasan SR, Daniels SR, Kahonen M, Laitinen T, Taittonen L, Berenson GS, Viikari JS, Raitakari OT. Influence of age on associations between childhood risk factors and carotid intima-media thickness in adulthood: the Cardiovascular Risk in Young Finns Study, the Childhood Determinants of Adult Health Study, the Bogalusa Heart Study, and the Muscatine Study for the International Childhood Cardiovascular Cohort (i3C) Consortium. Circulation 2010; 122:2514-2520 [PubMed: 21126976]
88.
Li S, Chen W, Srinivasan SR, Bond MG, Tang R, Urbina EM, Berenson GS. Childhood cardiovascular risk factors and carotid vascular changes in adulthood: the Bogalusa Heart Study. JAMA 2003; 290:2271-2276 [PubMed: 14600185]
89.
Magnussen CG, Venn A, Thomson R, Juonala M, Srinivasan SR, Viikari JS, Berenson GS, Dwyer T, Raitakari OT. The association of pediatric low- and high-density lipoprotein cholesterol dyslipidemia classifications and change in dyslipidemia status with carotid intima-media thickness in adulthood evidence from the cardiovascular risk in Young Finns study, the Bogalusa Heart study, and the CDAH (Childhood Determinants of Adult Health) study. J Am Coll Cardiol 2009; 53:860-869 [PMC free article: PMC2759186] [PubMed: 19264243]
90.
Raitakari OT, Juonala M, Kahonen M, Taittonen L, Laitinen T, Maki-Torkko N, Jarvisalo MJ, Uhari M, Jokinen E, Ronnemaa T, Akerblom HK, Viikari JS. Cardiovascular risk factors in childhood and carotid artery intima-media thickness in adulthood: the Cardiovascular Risk in Young Finns Study. JAMA 2003; 290:2277-2283 [PubMed: 14600186]
91.
Klag MJ, Ford DE, Mead LA, He J, Whelton PK, Liang KY, Levine DM. Serum cholesterol in young men and subsequent cardiovascular disease. N Engl J Med 1993; 328:313-318 [PubMed: 8419817]
92.
Pletcher MJ, Vittinghoff E, Thanataveerat A, Bibbins-Domingo K, Moran AE. Young Adult Exposure to Cardiovascular Risk Factors and Risk of Events Later in Life: The Framingham Offspring Study. PLoS One 2016; 11:e0154288 [PMC free article: PMC4854462] [PubMed: 27138014]
93.
Stamler J, Daviglus ML, Garside DB, Dyer AR, Greenland P, Neaton JD. Relationship of baseline serum cholesterol levels in 3 large cohorts of younger men to long-term coronary, cardiovascular, and all-cause mortality and to longevity. JAMA 2000; 284:311-318 [PubMed: 10891962]
94.
Schwartz GG, Gabriel Steg P, Bhatt DL, Bittner VA, Diaz R, Goodman SG, Jukema JW, Kim YU, Li QH, Manvelian G, Pordy R, Sourdille T, White HD, Szarek M, Odyssey Outcomes Committees Investigators. Clinical Efficacy and Safety of Alirocumab After Acute Coronary Syndrome According to Achieved Level of Low-Density Lipoprotein Cholesterol: A Propensity Score-Matched Analysis of the ODYSSEY OUTCOMES Trial. Circulation 2021; 143:1109-1122 [PMC free article: PMC7969166] [PubMed: 33438437]
95.
Navarese EP, Robinson JG, Kowalewski M, Kolodziejczak M, Andreotti F, Bliden K, Tantry U, Kubica J, Raggi P, Gurbel PA. Association Between Baseline LDL-C Level and Total and Cardiovascular Mortality After LDL-C Lowering: A Systematic Review and Meta-analysis. JAMA 2018; 319:1566-1579 [PMC free article: PMC5933331] [PubMed: 29677301]
96.
Mega JL, Stitziel NO, Smith JG, Chasman DI, Caulfield M, Devlin JJ, Nordio F, Hyde C, Cannon CP, Sacks F, Poulter N, Sever P, Ridker PM, Braunwald E, Melander O, Kathiresan S, Sabatine MS. Genetic risk, coronary heart disease events, and the clinical benefit of statin therapy: an analysis of primary and secondary prevention trials. Lancet 2015; 385:2264-2271 [PMC free article: PMC4608367] [PubMed: 25748612]
97.
Natarajan P, Young R, Stitziel NO, Padmanabhan S, Baber U, Mehran R, Sartori S, Fuster V, Reilly DF, Butterworth A, Rader DJ, Ford I, Sattar N, Kathiresan S. Polygenic Risk Score Identifies Subgroup With Higher Burden of Atherosclerosis and Greater Relative Benefit From Statin Therapy in the Primary Prevention Setting. Circulation 2017; 135:2091-2101 [PMC free article: PMC5484076] [PubMed: 28223407]
98.
Feingold KR, Chait A. Approach to patients with elevated low-density lipoprotein cholesterol levels. Best Pract Res Clin Endocrinol Metab 2022:101658 [PubMed: 35487874]
99.
Feingold KR. Maximizing the benefits of cholesterol-lowering drugs. Curr Opin Lipidol 2019; 30:388-394 [PubMed: 31335331]
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