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Biomarker Testing in Risk Assessment and Management of Cardiovascular Disease

Policy Number: MP-567

Latest Review Date: December 2024

Category: Laboratory                                                            

POLICY:

Effective for dates of service on and after February 16, 2024:

Measurement of novel lipid and non-lipid biomarkers (i.e., apolipoprotein B, apolipoprotein AI, apolipoprotein E, low-density lipoprotein subclass, high-density lipoprotein subclass, lipoprotein [a], B-type natriuretic peptide, fibrinogen, leptin) is considered investigational as an adjunct to low-density lipoprotein cholesterol in the risk assessment and management of cardiovascular disease.

Effective for dates of service prior to February 16, 2024:

Measurement of novel lipid and non-lipid biomarkers (i.e., apolipoprotein B, apolipoprotein AI, apolipoprotein E, low-density lipoprotein subclass, high-density lipoprotein subclass, lipoprotein [a], B-type natriuretic peptide, cystatin C, fibrinogen, leptin) is considered investigational as an adjunct to low-density lipoprotein cholesterol in the risk assessment and management of cardiovascular disease.

DESCRIPTION OF PROCEDURE OR SERVICE:

Numerous lipid and non-lipid biomarkers have been proposed as potential risk markers for cardiovascular disease. The biomarkers assessed here are those that have the most evidence in support of their use in clinical care. The biomarkers assessed here are apolipoprotein B, apolipoprotein A1 (apo A1), apolipoprotein E (apo E), B-type natriuretic peptide, fibrinogen, high-density lipoprotein (HDL) subclass, leptin, low-density lipoprotein (LDL) subclass, and lipoprotein A. These biomarkers have been studied as an alternative or addition to standard lipid panels for risk stratification in cardiovascular disease or as treatment targets for lipid-lowering therapy.

Low Density Lipoproteins and Cardiovascular Disease

Low-density lipoproteins (LDLs) have been identified as the major atherogenic lipoproteins and have long been identified by the National Cholesterol Education Project (NCEP) as the primary target of cholesterol- lowering therapy. An LDL particle consists of a surface coat composed of phospholipids, free cholesterol, and apolipoproteins surrounding an inner lipid core composed of cholesterol ester and triglycerides. Traditional lipid risk factors such as LDL-cholesterol (LDL-C), while predictive on a population basis, are weaker markers of risk on an individual basis. Only a minority of subjects with elevated LDL and cholesterol levels will develop clinical disease, and up to 50% of cases of coronary artery disease (CAD) occur in subjects with ‘normal’ levels of total cholesterol and LDL-C. Thus, there is considerable potential to improve the accuracy of current cardiovascular risk prediction models.

Other non-lipid markers have been identified as having an association with cardiovascular disease (CVD) including B-type natriuretic peptide, fibrinogen and leptin. These biomarkers may have a predictive role in identifying cardiovascular disease risk or in targeting therapy.  In the United States, social, biological, and environmental disparities exist in the prevalence, morbidity, and mortality rates that are associated with CVD. Population subgroups that are most significantly adversely affected by such disparities included Black and Hispanic Americans, individuals with low socioeconomic status, and individuals who live in rural settings.

Lipid Markers

Apolipoprotein B

Apolipoprotein (Apo) B is the major protein moiety of all lipoproteins, except for high-density lipoprotein (HDL). The most abundant form of apo B, large B or B100, constitutes the apo B found in LDL and very-low density LDL. Because LDL and very-low density LDL each contain 1 molecule of apo B, the measurement of apo B reflects the total number of these atherogenic particles, 90% of which are LDL. Because LDL particles can vary in size and in cholesterol content, for a given concentration of LDL-C, there can be a wide variety in size and numbers of LDL particles. Thus, it has been postulated that apo B is a better measure of the atherogenic potential of serum LDL than LDL concentration.

Apolipoprotein A1

High-density lipoprotein (HDL) contains two associated apolipoproteins (i.e., apo A1 and apo A2). High-density lipoprotein (HDL) particles can also be classified by whether they contain apolipoprotein A1 (apo A1) only or whether they contain both apo A1 and apolipoprotein AII (apo A2). All lipoproteins contain apo A1, and some also contain apo A2. Since all HDL particles contain apo A1, this lipid marker can be used as an approximation for HDL number, similar to the way apo B has been proposed as an approximation of the LDL number.

Direct measurement of apo A1 has been proposed as more accurate than the traditional use of HDL level in evaluation of cardioprotective, or “good,” cholesterol. In addition, the ratio of apolipoprotein B (apo B)/apo A1 has been proposed as a superior measure of the ratio of proatherogenic (i.e., “bad”) cholesterol to anti-atherogenic (i.e., “good”) cholesterol.

Apolipoprotein E

Apolipoprotein E is the primary apolipoprotein found in very-low density LDLs and chylomicrons. Apolipoprotein E is the primary binding protein for LDL receptors in the liver and is thought to play an important role in lipid metabolism. The apolipoprotein E (APOE) gene is polymorphic, consisting of three epsilon alleles (e2, e3, and e4) that code for three protein isoforms, known as E2, E3, and E4, which differ from one another by one amino acid. These molecules mediate lipid metabolism through their different interactions with the LDL receptors. The genotype of apo E alleles can be assessed by gene amplification techniques, or the apo E phenotype can be assessed by measuring plasma levels of apo E.

It has been proposed that various APOE genotypes are more atherogenic than others and that apo E measurement may provide information on the risk of coronary artery disease (CAD) beyond traditional risk factor measurement. It has also been proposed that the apo E genotype may be useful in the selection of specific components of lipid-lowering therapy, such as drug selection. In the major lipid-lowering intervention trials, including trials of statin therapy, there is considerable variability in response to therapy that cannot be explained by factors such as compliance. The APOE genotype may be one factor that determines an individual’s degree of response to interventions such as statin therapy.

High-Density Lipoprotein Subclass

High-density lipoprotein particles exhibit considerable heterogeneity, and it has been proposed that various subclasses of HDL may have a greater role in protection from atherosclerosis. Particles of HDL can be characterized based on size/density and/or on the apolipoprotein composition. Using size/density, HDL can be classified into HDL2, the larger, less dense particles that may have the greatest degree of cardioprotection, and HDL3, which are smaller, denser particles.

An alternative to measuring the concentration of subclasses of HDL (e.g. HDL2 and HDL3) is a direct measurement of HDL particle size and/or number. Particle size can be measured by nuclear magnetic resonance spectroscopy (NMR) or by gradient-gel electrophoresis. High-density lipoprotein particle numbers can be measured by NMR spectroscopy. Several commercial labs offer these measurements of HDL particle size and number. Measurement of apo A-1 has used measurement of HDL particle number as a surrogate, based on the premise that each HDL particle contains one apo A1 molecule.

Low-Density Lipoprotein Subclass

Two main subclass patterns of LDL, called A and B, have been described. In subclass pattern A, the particles have a diameter larger than 25 nm and are less dense, while in subclass pattern B, the particles have a diameter less than 25 nm and a higher density. Subclass pattern B is a commonly inherited disorder associated with a more atherogenic lipoprotein profile, also termed “atherogenic dyslipidemia.” In addition to small, dense LDL, this pattern includes elevated levels of triglycerides, elevated levels of apolipoprotein B, and low levels of HDL. This lipid profile is commonly seen in Type II diabetes and is one component of the “metabolic syndrome,” defined by the Third Report of the Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) to also include high normal blood pressure, insulin resistance, increased levels of inflammatory markers such as C-reactive protein (CRP), and a prothrombotic state. The presence of the metabolic syndrome is considered by Adult Treatment Panel III to be a substantial risk-enhancing factor for CAD.

Low-density lipoprotein size has also been proposed as a potentially useful measure of treatment response. Lipid-lowering treatment decreases total LDL and may also induce a shift in the type of LDL, from smaller, dense particles to larger particles. It has been proposed that this shift in lipid profile may be beneficial in reducing the risk for CAD independent of the total LDL level. Also, some drugs may cause a greater shift in lipid profile than others. Niacin and/or fibrates may cause a greater shift from small to large LDL size than statins. Therefore, measurement of LDL size may potentially play a role in drug selection or may be useful in deciding to use a combination of two or more drugs rather than a statin alone.

In addition to the size of LDL particles, interest has been shown in assessing the concentration of LDL particles as a distinct cardiac risk factor. For example, the commonly performed test, LDL-C is not a direct measure of LDL but, chosen for its convenience, measures the amount of cholesterol incorporated into LDL particles. Since LDL particles carry much of the cholesterol in the bloodstream, the concentration of cholesterol in LDL correlates reasonably well with the number of LDL particles when examined in large populations. However, for an individual patient, the LDL-C level may not reflect the number of particles due to varying levels of cholesterol in different sized particles. It is proposed that the discrepancy between the number of LDL particles and the serum level of LDL-C represents a significant source of unrecognized atherogenic risk. The size and number of particles are interrelated. For example, all LDL particles can invade the arterial wall and initiate atherosclerosis. However, small, dense particles are thought to be more atherogenic compared to larger particles. Therefore, for patients with elevated numbers of LDL particles, the cardiac risk may be further enhanced when the particles are smaller versus larger.

Lipoprotein (a)

Lipoprotein (a) [Lp (a)] is a lipid-rich particle similar to LDL. The major apolipoprotein associated with LDL is apo B; in Lp (a), however, there is an additional apo A covalently linked to apo B. The apo A molecule is structurally similar to plasminogen, suggesting that Lp (a) may contribute to the thrombotic and atherogenic basis of cardiovascular disease. Levels of Lp (a) are relatively stable in individuals over time but vary up to 1,000-fold between individuals, presumably on a genetic basis. The similarity between Lp (a) and fibrinogen has stimulated intense interest in Lp (a) as a link between atherosclerosis and thrombosis. In addition, approximately 20% of patients with CAD have elevated levels of Lp (a). Therefore, it has been proposed that levels of Lp (a) may be an independent risk factor for CAD.

Non-Lipid Markers

B-type or Brain Natriuretic Peptide

Brain Natriuretic Peptide (BNP, also called B-type natriuretic peptide) is an amino acid polypeptide that is secreted primarily by the ventricles of the heart when the pressure to the cardiac muscles increases or there is myocardial ischemia. Elevations in BNP levels reflect deterioration in cardiac loading levels and may predict adverse events. BNP has been studied as a biomarker for managing heart failure and predicting cardiovascular and heart failure risk.

Fibrinogen

Fibrinogen is a circulating clotting factor and precursor of fibrin. It is important in platelet aggregation and a determinant of blood viscosity. Fibrinogen levels have been shown to be associated with future risk of cardiovascular risk and all-cause mortality.

Leptin

Leptin is a protein secreted by fat cells that have been found to be elevated in heart disease. Leptin has been studied to determine if it has any relationship with the development of cardiovascular disease.

KEY POINTS:

The most recent literature review was updated through November 6, 2024.

Summary of Evidence

For individuals who are asymptomatic with risk of cardiovascular disease (CVD) who receive novel cardiac biomarker testing (eg, apolipoprotein B [apo B], apolipoprotein AI [apo AI], apolipoprotein E [apo E], high-density lipoprotein [HDL] subclass, low-density lipoprotein [LDL] subclass, Lp[a], B-type natriuretic peptide [BNP], cystatin C, fibrinogen, leptin), the evidence includes systematic reviews, meta-analyses, and large, prospective cohort studies. Relevant outcomes are overall survival (OS), other test performance measures, change in disease status, morbid events, and medication use. The evidence from cohort studies and meta-analyses of these studies has suggested that some of these markers are associated with increased cardiovascular risk and may provide incremental accuracy in risk prediction. In particular, apo B and apo AI have been identified as adding some incremental predictive value. However, it has not been established whether the incremental accuracy provides clinically important information beyond that of traditional lipid measures. Furthermore, no study has provided high-quality evidence that measurement of markers leads to changes in management that improve health outcomes. The evidence is insufficient to determine that the technology results in an improvement in the net health outcome.

For individuals with hyperlipidemia managed with lipid-lowering therapy who receive novel cardiac biomarker testing (eg, apo B, apo AI, apo E, HDL subclass, LDL subclass, Lp[a], BNP, fibrinogen, leptin), the evidence includes analyses of the intervention arm(s) of lipid-lowering medication trials. Relevant outcomes are OS, change in disease status, morbid events, and medication use. In particular, apo B, apo AI, and apo E have been evaluated as markers of lipid-lowering treatment success, and evidence from the intervention arms of several randomized controlled trials (RCTs) has suggested that these markers are associated with treatment success. However, there is no direct evidence that using markers other than LDL and HDL as a lipid-lowering treatment target leads to improved health outcomes. The evidence is insufficient to determine that the technology results in an improvement in the net health outcome.

Practice Guidelines and Position Statements

National Heart, Lung, and Blood Institute

The National Heart, Lung, and Blood Institute’s (NHLBI’s) National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel 3) issued a position statement in 2001. Apo B, apo A-1, lipid subclass, and lipoprotein (a) were listed as “emerging risk factors” for cardiovascular risk assessment, without specific recommendations for how these measures should be used in clinical practice. A 2004 update to these guidelines discussed the result of clinical trials of statin therapy.

In 2013, the institute published a systematic evidence review on managing blood cholesterol in adults. The review was used to develop joint guidelines by the American College of Cardiology and American Heart Association (ACC/AHA) on the treatment of blood cholesterol to reduce atherosclerotic cardiovascular risk in adults.

American College of Cardiology and American Heart Association 

In 2013, the ACC and the AHA published guidelines for the assessment of cardiovascular risk. Pooled cohort equations for estimating arteriosclerotic cardiovascular disease (ASCVD) were developed from sex- and race-specific proportional hazards models that included covariates of age, treated or untreated systolic blood pressure level, total cholesterol and high-density lipoprotein cholesterol (HDL-C) levels, current smoking status, and history of diabetes. Additional risk factors evaluated included diastolic blood pressure, family history of ASCVD, moderate or severe chronic kidney disease, and body mass index. None of the variables significantly improved discrimination for 10-year hard ASCVD risk prediction. The ACC and AHA recommended that further research using state-of-the-art statistical techniques (including net reclassification improvement and integrative discrimination index) examine the utility of novel biomarkers when added to these new pooled cohort equations in different populations and patient subgroups. The guidelines stated that future updates might include guidance on whether on-treatment markers such as apo B, Lp(a), or low-density lipoprotein (LDL) particles are useful for guiding treatment decisions.

The ACC/AHA (2019) guidelines on primary prevention of cardiovascular disease include information on appropriateness of Lp(a) level measurement state “a relative indication for its measurement is family history of premature ASCVD. An Lp(a) ≥50 mg/dL or ≥125 nmol/L constitutes a risk-enhancing factor, especially at higher levels of Lp(a).” The guidelines also include recommendations for apo B measurement stating “a relative indication for its measurement would be triglyceride ≥200 mg/dL. A level ≥130 mg/dL corresponds to an LDL-C >160 mg/dL and constitutes a risk-enhancing factor."

American Diabetes Association and American College of Cardiology (ACC) Foundation

In 2008, a publication from a consensus conference of the American Diabetes Association and the American College of Cardiology Foundation addressed lipoprotein management in patients with cardiometabolic risk. This statement included specific recommendations for incorporating apo B testing into clinical care for high-risk patients and recommended that, for patients with metabolic syndrome who are being treated with statins, both LDL-C and apo B should be used as treatment targets, with an apo B target of less than 90 mg/dL, even if target LDL has been achieved.

This consensus statement also commented on the use of LDL particle number in patients with cardiometabolic risk. They commented on the limitations of the clinical utility of nuclear magnetic resonance measurement of LDL particle number or size, including lack of widespread availability. The statement also noted that there is a need for more independent data confirming the accuracy of the method and whether its predictive power is consistent across various patient populations.

The American Diabetes Association 2024 Standards of Care do not discuss the use of specific novel biomarkers for cardiovascular disease and risk management.

American Association of Clinical Endocrinologists and the American College of Endocrinology

In 2017, the American Association of Clinical Endocrinologists (AACE, now the American Association of Clinical Endocrinology) and the American College of Endocrinology published joint guidelines on the management of dyslipidemia and the prevention of cardiovascular diseases. The guidelines recommended that, among patients with “triglyceride (TG) concentration of greater than 150 mg/dL or HDL-C concentration of less than 40 mg/dL, the apo B or the apo B to apo AI ratio may be useful in assessing residual risk in individuals at risk for ASCVD (even when the LDL-C levels are controlled).”

In 2020, the AACE published an updated consensus statement on dyslipidemia and prevention of cardiovascular disease.117, They recommended measurement of Lp(a) in several patient populations including those with ASCVD, those with a family history of premature ASCVD and/or increased Lp(a), and individuals with a 10-year ASCVD risk of 10% of greater. Recommendations also included consideration of apo B or LDL particle measurement "based on individual patient clinical circumstances."

In 2022, the AACE published a guideline on comprehensive care plans in patients with diabetes. In addition to treatment targets for LDL-C and non-HDL-C, the guideline defines target apo B levels of <90 mg/dL, <80 mg/dL, or <70 mg/dL for patients with high, very high, and extreme risk of ASCVD. Patients receiving statins should undergo monitoring for these parameters (including apo B) every 6 to 12 weeks, and monitoring frequency can decrease after targets are achieved.

National Lipid Association

National Lipid Association (NLA) recommendations for patient-centered management of dyslipidemia were published in 2015. These recommendations stated that non-HDL-C and LDL-C should be primary targets for therapy and that apo B is an optional, secondary target for therapy. The Association favored non-HDL-C over apo B because the former is universally available and because apo B has not consistently shown superiority in predicting ASCVD risk.

In 2018, the NLA published a guideline on the management of blood cholesterol in conjunction with 11 other organizations, which discussed the measurement of apo B and Lp(a). A triglyceride level ≥200 mg/dL was mentioned as a relative indication of apo B measurement. Relative indications for measurement of Lp(a) include family history of premature ASCVD or ASCVD without traditional risk factors.

In 2019, the NLA issued a scientific statement on the use of Lp(a), which notes that Lp(a) measurement "is reasonable" to refine risk assessment for ASCVD events in the following populations: patients with first-degree relatives with premature ASCVD (<55 years of age for men; <65 years of age for women), patients with premature ASCVD without traditional risk factors, patients with severe hypercholesterolemia (LDL-C ≥190 mg/dL) or familial hypercholesterolemia, and patients with very-high risk of ASCVD that may be candidates for proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitor therapy. Additionally, Lp(a) "may be reasonable" to measure in patients with the following: intermediate (7.5% to 19.9%) or borderline (5% to 7.4%) ASCVD risk when statin initiation is uncertain for primary prevention, inadequate response to LDL-C lowering therapy despite adherence, family history of elevated Lp(a), calcific valvular aortic stenosis, or recurrent or progressive ASCVD despite lipid-lowering therapy.

In 2021, the NLA issued a scientific statement on lipid measurements in cardiovascular disease including information on apo B, small dense LDL, and Lp(a). The authors refer to the 2019 statement for information on Lp(a), and they recommend that measurements of apo B and small dense LDL "may be reasonable at initial evaluation." Additionally, apo B measurement "is reasonable" for patients receiving lipid lowering therapy while small dense LDL measurement is "not recommended" for these patients.

National Institute for Health and Care Excellence

In 2023, the NICE updated its guidance on risk assessment and reduction, including lipid modification of CVD.125, The guidance recommended measuring a full lipid profile including total cholesterol, HDL, non-HDL, and triglycerides before starting lipid-lowering therapy for primary prevention of CVD. The guidance also recommended measurement of total cholesterol, HDL, non-HDL, and triglycerides for primary and secondary prevention in people on high-intensity statins at 3 months of treatment, aiming for a 40% reduction in non-HDL. Nontraditional risk factors, including apo B, were not discussed as part of risk assessment or treatment targets.

U.S. Preventive Services Task Force Recommendations

The U.S. Preventive Services Task Force (2009) issued recommendations on the use of nontraditional risk factors for the assessment of coronary heart disease. They included lipoprotein (a) in their summary statement that stated “The evidence is insufficient to assess the balance of benefits and harms of using the nontraditional risk factors discussed in this statement to screen asymptomatic men and women with no history of CHD to prevent CHD events”.

The recommendation was updated in 2018 and came to the same conclusion: evidence is insufficient to assess the benefits and harms of novel testing methods to diagnose CVD. However, the nontraditional risk factors included in this recommendation were different than those in this evidence review.

KEY WORDS:

Apolipoprotein A-1, apo A-1, apolipoprotein B, apo B. apolipoprotein E, apo E, B-type natriuretic peptide, cardiac risk factors, novel cardiovascular risk assessment, fibrinogen, HDL subclass testing, HDL subclassification, high density lipoprotein subclassification, LDL subclass, leptin, lipoprotein A., lipoprotein, small-density, management of cardiovascular disease, small-density lipoproteins, small-diameter lipoproteins, lp(a), VAP, VAP diagnostics

APPROVED BY GOVERNING BODIES:

Clinical laboratories may develop and validate tests in-house and market them as a laboratory service; laboratory-developed tests (LDTs) must meet the general regulatory standards of the Clinical Laboratory Improvement Amendments (CLIA). Lipid and non‒lipid biomarker tests are available under the auspices of CLIA. Laboratories that offer LDTs must be licensed by CLIA for high-complexity testing. To date, the U.S. Food and Drug Administration has chosen not to require any regulatory review of this test.

BENEFIT APPLICATION:

Coverage is subject to member’s specific benefits. Group-specific policy will supersede this policy when applicable.

ITS: Home Policy provisions apply.

FEP:  Special benefit consideration may apply. Refer to member’s benefit plan. 

CURRENT CODING: 

CPT Codes:

82172

Apolipoprotein, each

82397

Chemiluminescent assay

82664

Electrophoretic technique, not elsewhere specified

83520

Immunoassay for analyte other than infectious agent antibody or infectious agent antigen; quantitative, not otherwise specified

83695

Lipoprotein (a)

83700

Lipoprotein, blood; electrophoretic separation and quantitation

83701

Lipoprotein, blood; high resolution fractionation and quantitation of lipoproteins including lipoprotein subclasses when performed (e.g., electrophoresis, ultracentrifugation)

83704

Lipoprotein, blood; quantitation of lipoprotein particle number(s) (e.g., by nuclear magnetic resonance spectroscopy), includes lipoprotein particle subclass(es), when performed

83880

Natriuretic peptide

84181

Protein; Western Blot, with interpretation and report, blood or other body fluid

84999

Unlisted chemistry procedure

85384

Fibrinogen; activity

85385

Fibrinogen; antigen

0052U

Lipoprotein, blood, high resolution fractionation and quantitation of lipoproteins, including all five major lipoprotein classes and subclasses of HDL, LDL, and VLDL by vertical auto profile ultracentrifugation

0377U

Cardiovascular disease, quantification of advanced serum or plasma lipoprotein profile, by nuclear magnetic resonance (NMR) spectrometry with report of a lipoprotein profile (including 23 variables) (Effective 04/01/2023)

PREVIOUS CODING:

CPT Codes:

0423T

Secretory type II phospholipase A2 (sPLA2-IIA) (Deleted effective 12/31/21)

REFERENCES:

  1. Ahmadi-Abhari S, Luben RN, Wareham NJ et al. Seventeen year risk of all-cause and cause-specific mortality associated with C-reactive protein, fibrinogen and leukocyte count in men and women: the EPIC-Norfolk study. Eur J Epidemiol 2013.
  2. Albers JJ, Slee A, O'Brien KD, et al. Relationship of apolipoproteins A-1 and B, and lipoprotein (a) to cardiovascular outcomes: the AIM-HIGH trial (Atherothrombosis Intervention in Metabolic Syndrome with Low HDL/High Triglyceride and Impact on Global Health Outcomes). J Am Coll Cardiol. Oct 22 2013; 62(17):1575-1579.
  3. Arca M, Montali A, Pigna G et al. Comparison of atorvastatin versus fenofibrate in reaching lipid targets and influencing biomarkers of endothelial damage in patients with familial combined hyperlipidemia. Metabolism 2007; 56(11):1534-41.
  4. Arnett DK, Blumenthal RS, Albert MA et al. 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 Mar 19; 140(11).
  5. Ballantyne CM, Pitt B, Loscalzo J et al. Alteration of relation of atherogenic lipoprotein cholesterol to apolipoprotein B by intensive statin therapy in patients with acute coronary syndrome (from the Limiting Under treatment of lipids in ACS With Rosuvastatin [LUNAR] Trial). Am J Cardiol 2013; 111(4):506-9.
  6. Bays HE, Dujovne CA, McGovern ME et al. Comparison of once-daily, niacin extended-release/lovastatin with standard doses of atorvastatin and simvastatin (the ADvicor Versus Other Cholesterol-Modulating Agents Trial Evaluation [ADVOCATE]). Am J Cardiol 2003; 91(6):667-72.
  7. Benn M, Nordestgaard BG, Jensen GB et al. Improving prediction of ischemic cardiovascular disease in the general population using apolipoprotein B: the Copenhagen City Heart Study. Arterioscler Thromb Vasc Biol 2007; 27(3):661-70.
  8. Bennet A, Di Angelantonio E, Erqou S et al. Lipoprotein(a) levels and risk of future coronary heart disease: large-scale prospective data. Arch Intern Med 2008; 168(6):598-608.
  9. Bennet AM, Di Angelantonio E, Ye Z et al. Association of apolipoprotein E genotypes with lipid levels and coronary risk. JAMA 2007; 298(11):1300-11.
  10. Blake GJ, Otvos JD, Rifai N et al. Low-density lipoprotein particle concentration and size as determined by nuclear magnetic resonance spectroscopy as predictors of cardiovascular disease in women. Circulation 2002; 106(15):1930-7.
  11. Boekholdt SM, Arsenault BJ, Mora S et al. Association of LDL cholesterol, non-HDL cholesterol, and apolipoprotein B levels with risk of cardiovascular events among patients treated with statins: a meta-analysis. JAMA 2012; 307(12):1302-9.
  12. Boekholdt SM, Hovingh GK, Mora S, et al. Very low levels of atherogenic lipoproteins and the risk for cardiovascular events: a meta-analysis of statin trials. J Am Coll Cardiol. Aug 5 2014; 64(5):485-494.
  13. Bolibar I, von Eckardstein A, Assmann G et al. Short-term prognostic value of lipid measurements in patients with angina pectoris. The ECAT Angina Pectoris Study Group: European Concerted Action on Thrombosis and Disabilities. Thromb Haemost 2000; 84(6):955-60.
  14. Bostom AG, Cupples LA, Jenner JL et al. Elevated plasma lipoprotein (a) and coronary heart disease in men aged 55 years and younger. A prospective study. JAMA 1996; 276(7):544-8.
  15. Brown G, Albers JJ, Fisher LD et al. Regression of coronary artery disease as a result of intensive lipid-lowering therapy in men with high levels of apolipoprotein B. N Engl J Med 1990; 323(19):1289-98.
  16. Brunzell JD, Davidson M, Furberg CD et al. Lipoprotein management in patients with cardiometabolic risk: consensus statement from the American Diabetes Association and the American College of Cardiology Foundation. Diabetes Care 2008; 31(4):811-22.
  17. Campos H, Moye LA, Glasser SP et al. Low-density lipoprotein size, pravastatin treatment, and coronary events. JAMA 2001; 286(12):1468-74.
  18. Carmena R, Roederer G, Mailloux H et al. The response to lovastatin treatment in patients with heterozygous familial hypercholesterolemia is modulated by apolipoprotein E polymorphism. Metabolism 1993; 42(7):895-901.
  19. Chiodini BD, Franzosi MG, Barlera S et al. Apolipoprotein E polymorphisms influence effect of pravastatin on survival after myocardial infarction in a Mediterranean population: the GISSI-Prevenzione study. Eur Heart J 2007; 28(16):1977-83.
  20. Ciftdogan DY, Coskun S, Ulman C et al. The association of apolipoprotein E polymorphism and lipid levels in children with a family history of premature coronary artery disease. J Clin Lipidol 2012; 6(1):81-7.
  21. Clarke R, Emberson JR, Parish S et al. Cholesterol fractions and apolipoproteins as risk factors for heart disease mortality in older men. Arch Intern Med 2007; 167(13):1373-8.
  22. Clarke R, Peden JF, Hopewell JC et al. Genetic variants associated with Lp(a) lipoprotein level and coronary disease. N Engl J Med 2009; 361(26):2518-28.
  23. Curry SJ, Krist AH, Owens DK et al. Risk Assessment for Cardiovascular Disease With Nontraditional Risk Factors: US Preventive Services Task Force Recommendation Statement. JAMA, 2018 Jul 13; 320(3).
  24. Danesh J, Lewington S, Thompson SG, et al. Plasma fibrinogen level and the risk of major cardiovascular diseases and nonvascular mortality: an individual participant meta-analysis. JAMA. Oct 12 2005; 294(14): 1799-809.
  25. de Andrade M, Thandi I, Brown S et al. Relationship of the apolipoprotein E polymorphism with carotid artery atherosclerosis. Am J Hum Genet 1995; 56(6):1379-90.
  26. Di Angelantonio E, Gao P, Pennells L, et al. Lipid-related markers and cardiovascular disease prediction. JAMA. Jun 20 2012; 307(23): 2499-506.
  27. Donnelly LA, Palmer CN, Whitley AL et al. Apolipoprotein E genotypes are associated with lipid-lowering responses to statin treatment in diabetes: a Go-DARTS study. Pharmacogenet Genomics 2008; 18(4):279-87.
  28. Draznin B, Aroda VR, Bakris G, et al. 10. Cardiovascular Disease and Risk Management: Standards of Medical Care in Diabetes-2022. Diabetes Care. Jan 01 2022; 45(Suppl 1): S144-S174. 
  29. Eichner JE, Kuller LH, Orchard TJ et al. Relation of apolipoprotein E phenotype to myocardial infarction and mortality from coronary artery disease. Am J Cardiol 1993; 71(2):160-5.
  30. ElSayed NA, Aleppo G, Bannuru RR, et al. 10. Cardiovascular Disease and Risk Management: Standards of Care in Diabetes-2024. Diabetes Care. Jan 01 2024; 47(Suppl 1): S179-S218.
  31. Erqou S, Kaptoge S, Perry PL et al. Lipoprotein(a) concentration and the risk of coronary heart disease, stroke, and nonvascular mortality. JAMA 2009; 302(4):412-23.
  32. Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults. Executive Summary of The 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). JAMA. May 16 2001; 285(19): 2486-97. 
  33. Fogacci F, Cicero AF, D'Addato S, et al. Serum lipoprotein(a) level as long-term predictor of cardiovascular mortality in a large sample of subjects in primary cardiovascular prevention: data from the Brisighella Heart Study. Eur J Intern Med. Jan 2017; 37:49-55.
  34. Genser B, Dias KC, Siekmeier R et al. Lipoprotein (a) and risk of cardiovascular disease--a systematic review and meta-analysis of prospective studies. Clin Lab 2011; 57(3-4):143-56.
  35. Gotto AM, Jr., Whitney E, Stein EA et al. Relation between baseline and on-treatment lipid parameters and first acute major coronary events in the Air Force/Texas Coronary Atherosclerosis Prevention Study (AFCAPS/TexCAPS). Circulation 2000; 101(5):477-84.
  36. Grundy SM, Cleeman JI, Merz CN et al. Implications of recent clinical trials for the National Cholesterol Education Program Adult Treatment Panel III guidelines. Circulation 2004; 110(2):227-39.
  37. Grundy SM, Stone NJ, Bailey AL, et al. 2018 AHA/ACC/AACVPR/AAPA/ABC/ACPM/ADA/AGS/APhA/ASPC/NLA/PCNA Guideline on the Management of Blood Cholesterol: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation. Jun 18 2019; 139(25): e1082-e1143.
  38. Handelsman Y, Jellinger PS, Guerin CK, et al. Consensus Statement by the American Association of Clinical Endocrinologists and American College of Endocrinology on the Management of Dyslipidemia and Prevention of Cardiovascular Disease Algorithm - 2020 Executive Summary. Endocr Pract. Oct 2020; 26(10): 1196-1224.
  39. Helfand M, Buckley DI, Freeman M et al. Emerging risk factors for coronary heart disease: a summary of systematic reviews conducted for the U.S. Preventive Services Task Force. Ann Intern Med 2009; 151(7):496-507.
  40. Ingelsson E, Schaefer EJ, Contois JH et al. Clinical utility of different lipid measures for prediction of coronary heart disease in men and women. JAMA 2007; 298(7):776-85.
  41. IOM (Institute of Medicine). 2011. Clinical Practice Guidelines We Can Trust. Washington, DC: The National Academies Press.
  42. Jacobson TA, Ito MK, Maki KC, et al. National Lipid Association recommendations for patient-centered management of dyslipidemia: part 1 - executive summary. J Clin Lipidol. Sep-Oct 2014; 8(5):473-488.
  43. Jellinger PS, Handelsman Y, Rosenblit PD, et al. American Association of Clinical Endocrinologists and American College of Endocrinology guidelines for management of dyslipidemia and prevention of cardiovascular disease. Endocr Pract. Apr 2017; 23(Suppl 2):1-87.
  44. Kamstrup PR, Benn M, Tybjaerg-Hansen A et al. Extreme lipoprotein(a) levels and risk of myocardial infarction in the general population: the Copenhagen City Heart Study. Circulation 2008; 117(2):176-84.
  45. Kappelle PJ, Gansevoort RT, Hillege JL et al. Apolipoprotein B/A-I and total cholesterol/high-density lipoprotein cholesterol ratios both predict cardiovascular events in the general population independently of nonlipid risk factors, albuminuria and C-reactive protein. J Intern Med 2011; 269(2):232-42.
  46. Kaptoge S, White IR, Thompson SG, et al. Associations of plasma fibrinogen levels with established cardiovascular disease risk factors, inflammatory markers, and other characteristics: individual participant meta-analysis of 154,211 adults in 31 prospective studies: the fibrinogen studies collaboration. Am J Epidemiol. Oct 15 2007; 166(8): 867-79. 
  47. Kastelein JJ, van der Steeg WA, Holme I et al. Lipids, apolipoproteins, and their ratios in relation to cardiovascular events with statin treatment. Circulation 2008; 117(23):3002-9.
  48. Kengne AP, Czernichow S, Stamatakis E et al. Fibrinogen and future cardiovascular disease in people with diabetes: aetiological associations and risk prediction using individual participant data from nine community-based prospective cohort studies. Diab Vasc Dis Res 2013; 10(2):143-51.shaw
  49. Khera AV, Everett BM, Caulfield MP, et al. Lipoprotein (a) concentrations, rosuvastatin therapy, and residual vascular risk: an analysis from the JUPITER Trial (Justification for the Use of Statins in Prevention: an Intervention Trial Evaluating Rosuvastatin). Circulation. Feb 11 2014; 129(6):635-642.
  50. Koch W, Hoppmann P, Schomig Amora et al. Apolipoprotein E gene epsilon2/epsilon3/epsilon4 polymorphism and myocardial infarction: case-control study in a large population sample. Int J Cardiol 2008; 125(1):116-7.
  51. Kuller L, Arnold A, Tracy R et al. Nuclear magnetic resonance spectroscopy of lipoproteins and risk of coronary heart disease in the cardiovascular health study. Arterioscler Thromb Vasc Biol 2002; 22(7):1175-80.
  52. Kulminski AM, Ukraintseva SV, Arbeev KG et al. Health-protective and adverse effects of the apolipoprotein E epsilon2 allele in older men. J Am Geriatr Soc 2008; 56(3):478-83.
  53. Kwiterovich PO, Jr. Clinical relevance of the biochemical, metabolic, and genetic factors that influence low-density lipoprotein heterogeneity. Am J Cardiol 2002; 90(8A):30i-47i.
  54. Lamarche B, Moorjani S, Lupien PJ et al. Apolipoprotein A-I and B levels and the risk of ischemic heart disease during a five-year follow-up of men in the Quebec cardiovascular study. Circulation 1996; 94(3):273-8.
  55. Lamarche B, Tchernof A, Moorjani S et al. Small, dense low-density lipoprotein particles as a predictor of the risk of ischemic heart disease in men. Prospective results from the Quebec Cardiovascular Study. Circulation 1997; 95(1):69-75.
  56. Lee SR, Prasad A, Choi YS, et al. LPA gene, ethnicity, and cardiovascular events. Circulation. Jan 17 2017; 135(3):251-263.
  57. Luo J, Wang LP, Hu HF, et al. Cystatin C and cardiovascular or all-cause mortality risk in the general population: A meta-analysis. Clin Chim Acta. Jul 17 2015; 450:39-45.
  58. Melander O, Newton-Cheh C, Almgren P et al. Novel and conventional biomarkers for prediction of incident cardiovascular events in the community. JAMA 2009; 302(1):49-57.
  59. Mensah GA, Mokdad AH, Ford ES, et al. State of disparities in cardiovascular health in the United States. Circulation. Mar 15 2005; 111(10): 1233-41.
  60. Miller BD, Alderman EL, Haskell WL et al. Predominance of dense low-density lipoprotein particles predicts angiographic benefit of therapy in the Stanford Coronary Risk Intervention Project. Circulation 1996; 94(9):2146-53.
  61. Mohebi R, van Kimmenade R, McCarthy CP, et al. Performance of a multi-biomarker panel for prediction of cardiovascular event in patients with chronic kidney disease. Int J Cardiol. Jan 15 2023; 371: 402-405. 
  62. Mora S, Glynn RJ, Boekholdt SM et al. On-treatment non-high-density lipoprotein cholesterol, apolipoprotein B, triglycerides, and lipid ratios in relation to residual vascular risk after treatment with potent statin therapy: JUPITER (justification for the use of statins in prevention: an intervention trial evaluating rosuvastatin). J Am Coll Cardiol 2012; 59(17):1521-8.
  63. Mora S, Glynn RJ, Ridker PM. High-density lipoprotein cholesterol, size, particle number, and residual vascular risk after potent statin therapy. Circulation. Sep 10 2013; 128(11):1189-1197.
  64. Mora S, Otvos JD, Rifai N et al. Lipoprotein particle profiles by nuclear magnetic resonance compared with standard lipids and apolipoproteins in predicting incident cardiovascular disease in women. Circulation 2009; 119(7):931-9.
  65. Mora S, Wenger NK, Demicco DA et al. Determinants of residual risk in secondary prevention patients treated with high- versus low-dose statin therapy: the Treating to New Targets (TNT) study. Circulation 2012; 125(16):1979-87.
  66. National Heart Lung and Blood Institute. Managing Blood Cholesterol in Adults: Systematic Evidence Review From the Cholesterol Expert Panel, 2013. Bethesda, MD: National Heart, Lung, and Blood Institute; 2013. www.nhlbi.nih.gov/sites/default/files/media/docs/cholesterol-in-adults.pdf.
  67. National Institute for Health and Care Excellence (NICE). Cardiovascular disease: risk assessment and reduction, including lipid modification [CG181]. December 2023;www.nice.org.uk/guidance/ng238. 
  68. Nestel PJ, Barnes EH, Tonkin AM, et al. Plasma lipoprotein(a) concentration predicts future coronary and cardiovascular events in patients with stable coronary heart disease. Arterioscler Thromb Vasc Biol. Dec 2013; 33(12):2902-2908.
  69. Ohira T, Schreiner PJ, Morrisett JD et al. Lipoprotein (a) and incident ischemic stroke: the Atherosclerosis Risk in Communities (ARIC) study. Stroke 2006; 37(6):1407-12.
  70. Ordovas JM, Mooser V. The APOE locus and the pharmacogenetics of lipid response. Curr Opin Lipidol 2002; 13(2):113-7.
  71. Osei-Hwedieh DO, Amar M, Sviridov D et al. Apolipoprotein mimetic peptides: Mechanisms of action as anti-atherogenic agents. Pharmacol Ther 2011; 130(1):83-91.
  72. Otvos JD, Jeyarajah EJ, Cromwell WC. Measurement issues related to lipoprotein heterogeneity. Am J Cardiol 2002; 90(8A):22i-29i.
  73. Pencina MJ, D'Agostino RB, Zdrojewski T, et al. Apolipoprotein B improves risk assessment of future coronary heart disease in the Framingham Heart Study beyond LDL-C and non-HDL-C. Eur J Prev Cardiol. Oct 2015; 22(10):1321-1327.
  74. Perera R, McFadden E, McLellan J, et al. Optimal strategies for monitoring lipid levels in patients at risk or with cardiovascular disease: a systematic review with statistical and cost-effectiveness modelling. Health Technol Assess. Dec 2015; 19(100):1-401, vii-viii.
  75. Rasouli M, Kiasari AM, Mokhberi V. The ratio of apoB/apoA1, apoB and lipoprotein (a) are the best predictors of stable coronary artery disease. Clin Chem Lab Med 2006; 44(8):1015-21.
  76. Ray KK, Cannon CP, Cairns R et al. Prognostic utility of apoB/AI, total cholesterol/HDL, non-HDL cholesterol, or hs-CRP as predictors of clinical risk in patients receiving statin therapy after acute coronary syndromes: results from PROVE IT-TIMI 22. Arterioscler Thromb Vasc Biol 2009; 29(3):424-30.
  77. Ridker PM, Buring JE, Rifai N et al. Development and validation of improved algorithms for the assessment of global cardiovascular risk in women: the Reynolds Risk Score. JAMA 2007; 297(6):611-9.
  78. Ridker PM, Hennekens CH, Stampfer MJ. A prospective study of lipoprotein (a) and the risk of myocardial infarction. JAMA 1993; 270(18):2195-9.
  79. Ridker PM, Rifai N, Cook NR et al. Non-HDL cholesterol, apolipoproteins A-I and B100, standard lipid measures, lipid ratios, and CRP as risk factors for cardiovascular disease in women. JAMA 2005; 294(3):326-33.
  80. Rigal M, Ruidavets JB, Viguier A et al. Lipoprotein (a) and risk of ischemic stroke in young adults. J Neurol Sci 2007; 252(1):39-44.
  81. Robinson JG, Wang S, Jacobson TA. Meta-analysis of comparison of effectiveness of lowering apolipoprotein B versus low-density lipoprotein cholesterol and nonhigh-density lipoprotein cholesterol for cardiovascular risk reduction in randomized trials. Am J Cardiol 2012; 110(10):1468-76.
  82. Rosenson RS, Otvos JD, Freedman DS. Relations of lipoprotein subclass levels and low-density lipoprotein size to progression of coronary artery disease in the Pravastatin Limitation of Atherosclerosis in the Coronary Arteries (PLAC-I) trial. Am J Cardiol 2002; 90(2):89-94.
  83. Rosenson RS, Underberg JA. Systematic Review: Evaluating the Effect of Lipid-Lowering Therapy on Lipoprotein and Lipid Values. Cardiovasc Drugs Ther 2013.
  84. Rosenson RS, Wolff DA, Huskin AL et al. Fenofibrate therapy ameliorates fasting and postprandial lipoproteinemia, oxidative stress, and the inflammatory response in subjects with hypertriglyceridemia and the metabolic syndrome. Diabetes Care 2007; 30(8):1945-51.
  85. Safo SE, Haine L, Baker J, et al. Derivation of a Protein Risk Score for Cardiovascular Disease Among a Multiracial and Multiethnic HIV+ Cohort. J Am Heart Assoc. Jul 04 2023; 12(13): e027273.
  86. Sarkkinen E, Korhonen M, Erkkila A et al. Effect of apolipoprotein E polymorphism on serum lipid response to the separate modification of dietary fat and dietary cholesterol. Am J Clin Nutr 1998; 68(6):1215-22.
  87. Sattar N, Wannamethee G, Sarwar N et al. Leptin and coronary heart disease: prospective study and systematic review. J Am Coll Cardiol 2009; 53(2):167-75.
  88. Şaylık F, Akbulut T. Temporal relationship between serum calcium and triglyceride-glucose index and its impact on the incident of the acute coronary syndrome: a cross-lagged panel study. Acta Cardiol. Jul 2023; 78(5): 586-593.
  89. Schaefer EJ, Lamon-Fava S, Jenner JL et al. Lipoprotein(a) levels and risk of coronary heart disease in men. The lipid Research Clinics Coronary Primary Prevention Trial. JAMA 1994; 271(13):999- 1003.
  90. Schmitz F, Mevissen V, Krantz C et al. Robust association of the APOE epsilon4 allele with premature myocardial infarction especially in patients without hypercholesterolaemia: the Aachen study. Eur J Clin Invest 2007; 37(2):106-8.
  91. Sharrett AR, Ballantyne CM, Coady SA et al. Coronary heart disease prediction from lipoprotein cholesterol levels, triglycerides, lipoprotein (a), apolipoproteins A-I and B, and HDL density subfractions: The Atherosclerosis Risk in Communities (ARIC) Study. Circulation 2001; 104(10):1108-13.
  92. Shaw LJ, Polk DM, Kahute TA et al. Prognostic accuracy of B-natriuretic peptide measurements and coronary artery calcium in asymptomatic subjects (from the Early Identification of Subclinical Atherosclerosis by Noninvasive Imaging Research [EISNER] study). Am J Cardiol 2009; 104(9):1245-50.
  93. Simes RJ, Marschner IC, Hunt D et al. Relationship between lipid levels and clinical outcomes in the Long-term Intervention with Pravastatin in Ischemic Disease (LIPID) Trial: to what extent is the reduction in coronary events with pravastatin explained by on-study lipid levels? Circulation 2002; 105(10):1162-9.
  94. Singh K, Chandra A, Sperry T, et al. Associations Between High-Density Lipoprotein Particles and Ischemic Events by Vascular Domain, Sex, and Ethnicity: A Pooled Cohort Analysis. Circulation. Aug 18 2020; 142(7): 657-669
  95. Sirtori CR, Calabresi L, Pisciotta L et al. Effect of statins on LDL particle size in patients with familial combined hyperlipidemia: a comparison between atorvastatin and pravastatin. Nutr Metab Cardiovasc Dis 2005; 15(1):47-55.
  96. Smolders B, Lemmens R, Thijs V. Lipoprotein (a) and stroke: a meta-analysis of observational studies. Stroke 2007; 38(6):1959-66.
  97. Sniderman AD, Islam S, Yusuf S et al. Discordance analysis of apolipoprotein B and non-high density lipoprotein cholesterol as markers of cardiovascular risk in the INTERHEART study. Atherosclerosis 2012; 225(2):444-9.
  98. Sofat R, Cooper JA, Kumari M, et al. Circulating apolipoprotein E concentration and cardiovascular disease risk: meta-analysis of results from three studies. PLoS Med. Oct 2016; 13(10):e1002146.
  99. Stampfer MJ, Krauss RM, Ma J et al. A prospective study of triglyceride level, low-density lipoprotein particle diameter, and risk of myocardial infarction. JAMA 1996; 276(11):882-8.
  100. Stone NJ, Robinson JG, Lichtenstein AH, et al. 2013 ACC/AHA guideline on the treatment of blood cholesterol to reduce atherosclerotic cardiovascular risk in adults: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. J Am Coll Cardiol. Jul 1 2014; 63(25 Pt B):2889-2934.
  101. Suk Danik J, Rifai N, Buring JE et al. Lipoprotein(a), hormone replacement therapy, and risk of future cardiovascular events. J Am Coll Cardiol 2008; 52(2):124-31.
  102. Superko HR, Berneis KK, Williams PT et al. Gemfibrozil reduces small low-density lipoprotein more in normolipemic subjects classified as low-density lipoprotein pattern B compared with pattern A. Am J Cardiol 2005; 96(9):1266-72.
  103. Superko HR.  Beyond LDL cholesterol reduction. Circulation 1996; 94(10):2351-4.
  104. Thanassoulis G, Williams K, Ye K, et al. Relations of change in plasma levels of LDL-C, non-HDL-C and apoB with risk reduction from statin therapy: a meta-analysis of randomized trials. J Am Heart Assoc. 2014; 3(2):e000759.
  105. Tokuno A, Hirano T, Hayashi T et al. The effects of statin and fibrate on lowering small dense LDL-cholesterol in hyperlipidemic patients with type 2 diabetes. J Atheroscler Thromb 2007; 14(3):128-32.
  106. Toth PP, Grabner M, Punekar RS, et al. Cardiovascular risk in patients achieving low-density lipoprotein cholesterol and particle targets. Atherosclerosis. Aug 2014; 235(2):585-591.
  107. Tzou WS, Douglas PS, Srinivasan SR et al. Advanced lipoprotein testing does not improve identification of subclinical atherosclerosis in young adults: the Bogalusa Heart Study. Ann Intern Med 2005; 142(9):742-50.
  108. Tzoulaki I, Murray GD, Lee AJ et al. Relative value of inflammatory, hemostatic, and rheological factors for incident myocardial infarction and stroke: the Edinburgh Artery Study. Circulation 2007; 115(16):2119-27.
  109. Tzoulaki I, Siontis KC, Evangelou E et al. Bias in associations of emerging biomarkers with cardiovascular disease. JAMA Intern Med 2013; 173(8):664-71.
  110. Vaisi-Raygani A, Rahimi Z, Nomani H et al. The presence of apolipoprotein epsilon4 and epsilon2 alleles augments the risk of coronary artery disease in type 2 diabetic patients. Clin Biochem 2007; 40(15):1150-6.
  111. van der Steeg WA, Boekholdt SM, Stein EA et al. Role of the apolipoprotein B-apolipoprotein A-I ratio in cardiovascular risk assessment: a case-control analysis in EPIC-Norfolk. Ann Intern Med 2007; 146(9):640-8.
  112. van Holten TC, Waanders LF, de Groot PG et al. Circulating biomarkers for predicting cardiovascular disease risk; a systematic review and comprehensive overview of meta-analyses. PLoS One 2013; 8(4):e62080.
  113. van Wissen S, Smilde TJ, Trip MD et al. Long term statin treatment reduces lipoprotein (a) concentrations in heterozygous familial hypercholesterolaemia. Heart 2003; 89(8):893-6.
  114. Vasunilashorn S, Glei DA, Lan CY et al. Apolipoprotein E is associated with blood lipids and inflammation in Taiwanese older adults. Atherosclerosis 2011; 219(1):349-54.
  115. Vazirian F, Sadeghi M, Kelesidis T, et al. Predictive value of lipoprotein(a) in coronary artery calcification among asymptomatic cardiovascular disease subjects: A systematic review and meta-analysis. Nutr Metab Cardiovasc Dis. Nov 2023; 33(11): 2055-2066. 
  116. Volcik KA, Barkley RA, Hutchinson RG et al. Apolipoprotein E polymorphisms predict low density lipoprotein cholesterol levels and carotid artery wall thickness but not incident coronary heart disease in 12,491 ARIC study participants. Am J Epidemiol 2006; 164(4):342-8.
  117. Vossen CY, Hoffmann MM, Hahmann H et al. Effect of APOE genotype on lipid levels in patients with coronary heart disease during a 3-week inpatient rehabilitation program. Clin Pharmacol Ther 2008; 84(2):222-7.
  118. Waldeyer C, Makarova N, Zeller T, et al. Lipoprotein (a) and the risk of cardiovascular disease in the European population: results from the BiomarCaRE consortium. Eur Heart J. Aug 21 2017; 38(32):2490-2498.
  119. Walldius G, Jungner I, Holme I et al. High apolipoprotein B, low apolipoprotein A-I, and improvement in the prediction of fatal myocardial infarction (AMORIS study): a prospective study. Lancet 2001; 358(9298):2026-33.
  120. Walldius G, Jungner I. Apolipoprotein B and apolipoprotein A-I: risk indicators of coronary heart disease and targets for lipid-modifying therapy. J Intern Med 2004; 255(2):188-205.
  121. Wang TJ, Larson MG, Levy D et al. Plasma natriuretic peptide levels and the risk of cardiovascular events and death. N Engl J Med 2004; 350(7):655-63.
  122. Willeit P, Thompson SG, Agewall S, et al. Inflammatory markers and extent and progression of early atherosclerosis: Meta-analysis of individual-participant-data from 20 prospective studies of the PROG-IMT collaboration. Eur J Prev Cardiol. Nov 21 2014.
  123. Willis A, Davies M, Yates T et al. Primary prevention of cardiovascular disease using validated risk scores: a systematic review. J R Soc Med 2012; 105(8):348-56.
  124. Wilson DP, Jacobson TA, Jones PH, et al. Use of Lipoprotein (a) in clinical practice: A biomarker whose time has come. A scientific statement from the National Lipid Association. J Clin Lipidol. May 2019; 13(3): 374-392.
  125. Wilson PW, Jacobson TA, Martin SS, et al. Lipid measurements in the management of cardiovascular diseases: Practical recommendations a scientific statement from the national lipid association writing group. J Clin Lipidol. Published online: September 24, 202
  126. Wilson PW, Myers RH, Larson MG et al. Apolipoprotein E alleles, dyslipidemia, and coronary heart disease. The Framingham Offspring Study. JAMA 1994; 272(21):1666-71.
  127. Wilson PW, Schaefer EJ, Larson MG et al. Apolipoprotein E alleles and risk of coronary disease. A meta-analysis. Arterioscler Thromb Vasc Biol 1996; 16(10):1250-5.
  128. Wu Z, Pilbrow AP, Liew OW, et al. Circulating cardiac biomarkers improve risk stratification for incident cardiovascular disease in community dwelling populations. EBioMedicine. Aug 2022; 82: 104170. 
  129. Zakai NA, Katz R, Jenny NS et al. Inflammation and hemostasis biomarkers and cardiovascular risk in the elderly: the Cardiovascular Health Study. J Thromb Haemost 2007; 5(6):1128-35.
  130. Zeng R, Xu CH, Xu YN, et al. Association of leptin levels with pathogenetic risk of coronary heart disease and stroke: a meta-analysis. Arq Bras Endocrinol Metabol. Nov 2014; 58(8):817-823.

POLICY HISTORY:

Medical Policy Panel, September 2014

Medical Policy Group, November 2014 (1): Creation of new policy by combining medical policies # 054, 340, 343 and 344, which will be archived upon implementation of this policy; reversal of coverage to non-covered for measurement of Small Low Density Lipoprotein (LDL) Particles, Lipoprotein (a) [lp (a)] Enzyme Immunoassay and apolipoprotein B (apo B) related to management of CVD risk in certain patient populations

Medical Policy Administration Committee, November 2014

Available for comment November 25, 2014 through January 8, 2015

Medical Policy Panel, September 2015

Medical Policy Group, September 2015 (3):  2015 Updates to Key Points & References; no change in policy statement.

Medical Policy Group, November 2015: 2016 Annual Coding Update.  Added CPT code 0423T to current coding

Medical Policy Panel, December 2016

Medical Policy Group, December 2016 (3): Updates to Key Points, Approved by Governing Bodies, Coding (2017 Annual Coding Update) & References; no change in policy statement

Medical Policy Panel, February 2018

Medical Policy Group, March 2018 (4): Updates to Description, Key Points, and References.  Removed policy section for dates of service prior to January 9, 2015. No change to policy statement.

Medical Policy Group, June 2018: Quarterly coding update, July 2018. Added new CPT code 0052U to Current Coding. Added new Key Words: VAP and VAP diagnostics.

Medical Policy Panel, December 2018

Medical Policy Group, January 2019 (9): 2018 updates to Description, Key Points; no change to policy statement.

Medical Policy Panel, December 2019

Medical Policy Group, December 2019 (9): 2019 Updates to Description, Key Points, References. No change to policy statement.

Medical Policy Group, January 2020 (9): Removed CPT code 81401, this code is not applicable to this policy. 

Medical Policy Panel, December 2020

Medical Policy Group, December 2020 (9): 2020 Updates to Description, Key Points, References. Removed note “For testing performed as a panel, see medical policy #538-Cardiovascular Risk Panels” from policy statement, as MP #538 is now archived and managed by genetic testing vendor program. Replaced abbreviations LDL and HDL with “low density lipoprotein” and “high density lipoprotein” for clarity within policy statement. No change to intent of policy statement.

Medical Policy Group, November 2021 (9): Policy statement updated to remove “not medically necessary,” no change to policy intent. Updated References. 2022 Annual Coding Update. Moved CPT code 0423T from Current Coding section to newly created Previous Coding section.

Medical Policy Panel, December 2021

Medical Policy Group, December 2021 (9): 2021 Updates to Description, Key Points, References. No change to policy statement intent.

Medical Policy Group, March 2022 (9): Updated References. 

Medical Policy Panel, December 2022

Medical Policy Group, December 2022 (9): 2022 Updates to Description, Key Points, References. No change to policy statement.

Medical Policy Group, April 2023: 2023 Quarterly coding update.  Added CPT code 0377U to Current Coding.

Medical Policy Panel, December 2023

Medical Policy Group, December 2023 (5): Policy Statement updated to remove Cystatin-C. Updates to Title to remove the word “Novel.” Updates to Description, Key Points, and Key Words to remove Cystatin-C, Current coding section updated to remove CPT code 82610 (Note added: There is no specific coding for cardiovascular risk panels, etc.). Updates to Benefit Application, and References.

Medical Policy Administration Committee, January 2024

Available for comment January 1, 2024 through February 15, 2024.

Medical Policy Panel, December 2024

Medical Policy Group, December 2024 (5): Updates to Key Points, and References. No change to Policy Statement.


This medical policy is not an authorization, certification, explanation of benefits, or a contract. Eligibility and benefits are determined on a case-by-case basis according to the terms of the member’s plan in effect as of the date services are rendered. All medical policies are based on (i) research of current medical literature and (ii) review of common medical practices in the treatment and diagnosis of disease as of the date hereof. Physicians and other providers are solely responsible for all aspects of medical care and treatment, including the type, quality, and levels of care and treatment.

This policy is intended to be used for adjudication of claims (including pre-admission certification, pre-determinations, and pre-procedure review) in Blue Cross and Blue Shield’s administration of plan contracts.

The plan does not approve or deny procedures, services, testing, or equipment for our members. Our decisions concern coverage only. The decision of whether or not to have a certain test, treatment or procedure is one made between the physician and his/her patient. The plan administers benefits based on the member’s contract and corporate medical policies. Physicians should always exercise their best medical judgment in providing the care they feel is most appropriate for their patients. Needed care should not be delayed or refused because of a coverage determination.

As a general rule, benefits are payable under health plans only in cases of medical necessity and only if services or supplies are not investigational, provided the customer group contracts have such coverage.

The following Association Technology Evaluation Criteria must be met for a service/supply to be considered for coverage:

1. The technology must have final approval from the appropriate government regulatory bodies;

2. The scientific evidence must permit conclusions concerning the effect of the technology on health outcomes;

3. The technology must improve the net health outcome;

4. The technology must be as beneficial as any established alternatives;

5. The improvement must be attainable outside the investigational setting.

Medical Necessity means that health care services (e.g., procedures, treatments, supplies, devices, equipment, facilities or drugs) that a physician, exercising prudent clinical judgment, would provide to a patient for the purpose of preventing, evaluating, diagnosing or treating an illness, injury or disease or its symptoms, and that are:

1. In accordance with generally accepted standards of medical practice; and

2. Clinically appropriate in terms of type, frequency, extent, site and duration and considered effective for the patient’s illness, injury or disease; and

3. Not primarily for the convenience of the patient, physician or other health care provider; and

4. Not more costly than an alternative service or sequence of services at least as likely to produce equivalent therapeutic or diagnostic results as to the diagnosis or treatment of that patient’s illness, injury or disease.