|
|
|
Effective Date: 08/01/2013 |
Title: Lipid Risk Factors in Management of Cardiovascular Disease
|
Revision Date: 01/01/2017
|
Document: BI408:00
|
CPT Code(s): 83695, 83698, 83700, 83701, 83704
|
Public Statement
|
Effective Date:
a)
This policy
will apply to all services performed on or after the above revision date which
will become the new effective date.
b)
For all
services referred to in this policy that were performed before the revision
date, contact customer service for the rules that would apply.
-
Many non-traditional
lipid markers are considered investigational and are not covered.
-
These biomarkers have been proposed for
screening, assessment, or management of cardiovascular disease. While these
measurements may provide some risk prediction, such measurement has not been
shown to improve health outcomes compared to standard risk assessment with
measurement of traditional lipid levels such as LDL and HDL cholesterol.
-
The American College of Cardiology (ACC) and
the American Heart Association (AHA) jointly published the Guidelines on
Treatment of Blood Cholesterol to Reduce Atherosclerotic Cardiovascular Risk
in Adults (Circulation 11/12/2013). These are the most current and updated
practice guidelines. Their emphasis of risk determination to guide
treatment decisions does not include any of the non-traditional lipid
markers. Estimation of 10 year risk of atherosclerotic cardiovascular
disease (ASCVD) should use the following calculator available online:
http://www.cvriskcalculator.com/
|
Medical Statement
|
1)
Numerous
lipid biomarkers have been proposed as potential risk markers for cardiovascular
disease. Traditional risk factors, such as total cholesterol, LDL-cholesterol,
and HDL-cholesterol have established utility in predicting individuals at
increased risk, and certain types of treatments of these risk factors has been
demonstrated to improve clinical outcomes. Many other lipid markers have been
proposed as useful for screening or risk segregation. In order for these
markers to be clinically useful, they must be demonstrated to add to the utility
of traditional risk factors.
2)
QualChoice,
the ACC and the AHA do not consider such biomarkers to meet this criterion,
including but not limited to:
a)
Lipoprotein
(a)
b)
Apolipoprotein B
c)
Apolipoprotein E
d)
LDL
subclasses
e)
HDL
subclasses
f)
Lipoprotein-associated phospholipase A2
3)
Estimation
of 10 year risk for ASCVD risk (per the ACC/AHA guideline) should use the
following calculator: http://www.cvriskcalculator.com/
Codes
Used in This Policy:
83695 |
Lipoprotein (a) |
83698 |
Lipoprotein-associated phospholipase A2 (Lp-PLA2) |
83700 |
Lipoprotein, blood; electrophoretic separation and quantitation |
83701 |
Lipoprotein, blood; high resolution fractionation and quantitation of
lipoproteins including lipoprotein subclasses when performed (eg,
electrophoresis, ultracentrifugation) |
83704 |
Lipoprotein, blood; quantitation of lipoprotein particle numbers and
lipoprotein particle subclasses (eg, by nuclear magnetic resonance
spectroscopy) |
|
Background
|
1)
Lipoprotein
(a):
a)
The
apolipoprotein (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 1000-fold between individuals, presumably on a genetic
basis. The similarity between apolipoprotein (a) and fibrinogen has stimulated
intense interest in Lp (a) as a link between atherosclerosis and thrombosis. In
addition, approximately 20% of patients with coronary artery disease (CAD) have
elevated levels of Lp (a). Therefore, it has been proposed that levels of Lp (a)
may be an independent risk factor for coronary artery disease.
b)
The Lipid
Research Clinics (LRC) Coronary Prevention Primary Trial, one of the first
large-scale, randomized, controlled trials of cholesterol-lowering therapy,
measured initial Lp (a) levels and reported that Lp (a) was an independent risk
factor for coronary artery disease (CAD) when controlled for other lipid and
non-lipid risk factors. (Schaefer, 1994) The Atherosclerosis Risk in Communities
(ARIC) study evaluated the predictive ability of Lp(a) in 12,000 middle-aged
individuals free of CAD at baseline who were followed up for 10 years, and Lp(a)
levels were an independent predictor of CAD above traditional lipid measures.
(Sharrett, 2001)
c)
Other
studies, however, have failed to demonstrate such a relationship. The European
Concerted Action on Thrombosis (ECAT) study, a trial of secondary prevention,
evaluated Lp (a) as a risk factor for coronary events in 2,800 patients with
known angina pectoris. (Bolibar, 2000) In this study, Lp (a) levels were not
significantly different among patients who did and did not have subsequent
events, suggesting that Lp (a) levels were not useful risk markers in this
population. In the Physicians’ Health Study, initial Lp (a) levels in the 296
participants who subsequently experienced a myocardial infarction were compared
with Lp (a) levels in matched controls who remained free from CAD. (Ridker,
2003) The authors found that the distribution of Lp (a) levels between the 2
groups was identical.
d)
Subsequent
studies have
evaluated the predictive ability of Lp (a) for cardiovascular
events. (Suk Danik, 2006; Ohira, 2006, Rigal, 2007) A number of these studies
focused on the predictive ability of Lp (a) for ischemic stroke, with mixed
results. In the Atherosclerotic Risk in Communities (ARIC) prospective cohort
study of 14,221 participants (Ohira, 2006), elevated Lp (a) was a significant
independent predictor of stroke in women but not in men (African-American and
white). In another prospective cohort study of 100 consecutive patients with
ischemic stroke, Rigal and co-workers (2007) reported that an elevated Lp (a)
level was an independent predictor of ischemic stroke in men but not in women.
e)
Tools for
linking Lp (a) to clinical decision making, both in risk assessment and
treatment response, are currently not available. The Adult Treatment Panel III
(ATP III) practice guidelines continue to tie clinical decision making to
conventional lipid measures, such as total cholesterol, LDL-C, and HDL-C. There
is a lack of recommendations from this body regarding how the additional
information from Lp (a) levels might be used in clinical practice. As a result,
there is considerable uncertainty regarding its clinical role, specifically how
knowledge of Lp (a) levels can be used in clinical care of patients who are
being evaluated for lipid disorders.
2)
Apolipoprotein B (Apo-B):
a)
The Emerging
Risk Factors Collaboration published a patient-level meta-analysis of 37
prospective cohort studies enrolling 154,544 individuals (Di Angelantonio,
2012). Risk prediction was examined for a variety of traditional and
non-traditional lipid markers. For apo B, evidence from 26 studies on 139,581
individuals reported that apo B was an independent risk factor for
cardiovascular events, with an adjusted hazard ratio of 1.24 (95% confidence
interval [CI] 1.19-1.29). On reclassification analysis, when apo-B and apo-AI
were substituted for traditional lipids, there was not improvement in risk
prediction. In fact, there was a slight worsening in the predictive ability,
evidenced by a decrease in the C-statistic of -0.0028 (p<0.001), and a decrease
in the net reclassification improvement of -1.08% (p<0.01).
3)
Apolipoprotein E (Apo-E):
a)
A
meta-analysis published by Bennet and colleagues summarized the evidence from
147 studies on the association of apo E genotypes with lipid levels and cardiac
risk (Bennet, 2007). Eighty-two studies included data on the association of apo
E with lipid levels, and 121 studies reported the association with clinical
outcomes. The authors estimated that patients with the apo e2 allele had LDL
levels that were approximately 31% less compared to patients with the apo e4
allele. When compared to patients with the apo e3 allele, patients with apo e2
had an approximately 20% decreased risk for coronary events (OR: 0.80; 95% CI:
0.70–0.90). Patients with the apo e4 had an estimated 6% higher risk of coronary
events that was of marginal statistical significance (OR: 1.06; 95% CI:
0.99–1.13).
b)
Chiodini et
al. examined differential response to statin therapy according to apo E
genotype, by reanalyzing data from the GISSI study according to apo E genotype
(Chiodini, 2007). GISSI was an RCT comparing pravastatin with placebo in 3,304
Italian patients with previous myocardial infarction (MI). Patients with the apo
e4 allele treated with statins had a greater response to treatment as evidenced
by lower overall mortality (1.85% vs. 5.28%, respectively, p=0.023), while there
was no difference in mortality for patients who were not treated with statins
(2.81% vs. 3.67%, respectively, p=0.21). This study corroborates results
reported in previous studies but does not provide evidence to suggest that
changes in treatment should be made as a result of apo E genotype.
c)
Apo-E does
not appear to add clinically relevant information for assessing cardiovascular
risk compared to standard risk factor assessment. While apo E genotype may
predict the level of response to statins, there is no evidence to suggest that
this genotype should lead a clinician to change therapy in an individual.
4)
LDL
subclasses:
a)
A nested
case-control study from the Physician’s Health Study, a prospective cohort study
of approximately 15,000 men, investigated whether LDL particle size was an
independent predictor of CAD risk, particularly in comparison to triglyceride
levels (Stampfer, 1996). This study concluded that while LDL particle diameter
was associated with risk of MI, this association was not present after
adjustment for triglyceride level. Only triglyceride level was significant
independently.
b)
Mora et al
(Mora, 2009) evaluated the predictive ability of LDL particle size and number
measured by NMR in participants of the Women’s Health Study, a prospective
cohort study of 27,673 women followed over an 11-year period. After controlling
for no lipid factors, LDL particle number was a significant predictor of
incident cardiovascular disease, with a hazard ratio of 2.51 (95% CI: 1.91-3.30)
for the highest, compared to the lowest quintile. LDL particle size was
similarly predictive of cardiovascular risk, with a hazard ratio of 0.64 (95%
CI: 0.52–0.79). When compared to standard lipid measures and apolipoproteins,
LDL particle size and number showed similar predictive ability but were not
superior in predicting cardiovascular events.
5)
HDL
subclasses:
a)
In the Kuopio
Ischemic Heart Disease Risk Factor Study, both total HDL-C and levels of HDL-2
had significant independent associations with risk of acute MI (Salonen, 1991).
The Quebec Cardiovascular Study investigated the association of HDL-2 and HDL-3
subclasses with ischemic heart disease in a subsample of 944 French-Canadian men
participating in the larger trial (Lamarche, 1996). During the 10-year
follow-up, levels of HDL-2 were statistically significant as independent
predictors of CAD events, but the difference in predictive value with and
without HDL subclasses was not considered clinically significant. The ARIC
study, a large prospective cohort study, followed 12,000 middle-aged individuals
free of CAD at baseline for 10 years (Sharrett, 2001). In this study, prediction
of CAD was not improved by the addition of either apo A-I levels or HDL density.
Similarly, in the Physicians’ Health Study (Stampfer, 1991) and the Caerphilly
and Speedwell Collaborative Heart Disease Studies, (Sweetnam, 1994) both of
which were studies of middle-aged men, risk prediction based on HDL-C was also
not improved by HDL sub classification.
|
Reference
|
2013 ACC/AHA Guideline on the
Treatment of Blood Cholesterol to Reduce Atherosclerotic Cardiovascular Risk in
Adults available for download at:
http://circ.ahajournals.org/content/129/25_suppl_2/S1
Bennet AM, Di Angelantonio E, Ye
Z et al. (2007) Association of apolipoprotein E genotypes with lipid levels and
coronary risk. JAMA 2007; 298(11):1300-11.
Bolibar I, von Eckardstein A,
Assmann G et al. (2000) 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.
Chiodini BD, Franzosi MG, Barlera S et al. (2007) 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.
Di Angelantonio E GP, Pennells L, et al. (2012) Lipid-Related Markers and
Cardiovascular Disease Prevention. JAMA 2012; 307(23):2499-506.
Lamarche B, Moorjani S, Lupien PJ et al.(1996) 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.
Mora S, Glynn RJ, Boekholdt SM et al.(2012) 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.
Mora S, Otvos JD, Rifai N et al. (2009) 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.
Mora S, Wenger NK, Demicco DA et al. (2012) 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.
Ohira T, Schreiner PJ, Morrisett JD et al.(2006) Lipoprotein(a) and incident
ischemic stroke: the Atherosclerosis Risk in Communities (ARIC) study. Stroke
2006; 37(6):1407-12.
Ridker PM, Hennekens CH, Stampfer MJ. (1993) A prospective study of lipoprotein
(a) and the risk of myocardial infarction. JAMA 1993; 270(18):2195-9.
Rigal M, Ruidavets JB, Viguier A et al.(2007) Lipoprotein (a) and risk of
ischemic stroke in young adults. J Neurol Sci 2007; 252(1):39-44.
Salonen JT, Salonen R,
Seppanen K et al.(1991) HDL, HDL-2 and HDL-3 sub fractions and the risk of acute
myocardial infarction. A prospective study in eastern Finnish men. Circulation
1991; 84(1):129-39.
Schaefer EJ, Lamon-Fava S, Jenner JL et al.(1994) 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.
Sharrett AR, Ballantyne CM, Coady
SA et al. (2001) Coronary heart disease prediction from lipoprotein cholesterol
levels, triglycerides, lipoprotein (a), apolipoproteins A-I and B, and HDL sub
fractions: the Atherosclerosis Risk in Communities (ARIC) study. Circulation
2001; 104(10):1108-13.
Stampfer MJ, Krauss RM, Ma J, et al. (1996) A prospective study of triglyceride
level, low density lipoprotein particle diameter, and risk of myocardial
infarction. JAMA 1996; 276:882-88.
Stampfer MJ, Sacks FM, Salvini S et al. (1991) A prospective study of
cholesterol apolipoproteins, and the risk of myocardial infarction. N Engl J Med
1991; 325(6):373-81.
Suk Danik J, Rifai N, Buring JE et al.(2006) Lipoprotein(a), measured with an
assay independent of apolipoprotein(a) isoform size, and risk of future
cardiovascular events among initially healthy women. JAMA, 2006;
296(11):1363-70.
Sweetnam PM,
Bolton CH, Yarnell JW et al. (1994) Associations of the HDL-2 and HDL-3
cholesterol sub fractions with the development of ischemic heart disease in
British men. The Caerphilly and Speedwell Collaborative Heart Disease Studies.
Circulation 1994; 90(2):769-74.
Addendum:
1)
Effective 01/01/2017:
Information added regarding latest treatment guideline from ACC/AHA.
|
Application to Products
|
This policy applies to all health plans administered by QualChoice, both those insured by QualChoice and those that are self-funded by the sponsoring employer, unless there is indication in this policy otherwise or a stated exclusion in your medical plan booklet. Consult the individual plan sponsor Summary Plan Description (SPD) for self-insured plans or the specific Evidence of Coverage (EOC) for those plans insured by QualChoice. In the event of a discrepancy between this policy and a self-insured customer’s SPD or the specific QualChoice EOC, the SPD or EOC, as applicable, will prevail. State and federal mandates will be followed as they apply.
|
Changes: QualChoice reserves the right to alter, amend, change or supplement benefit interpretations as needed.
|
|