Atherosclerotic Disease Risk Score

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Atherosclerotic Disease Risk Score Kavita Sharma, MD, FACC Diplomate, American Board of Clinical Lipidology Director of Prevention, Cardiac Rehabilitation and the Lipid Management Clinics September 16, 2016 1

New ACC/AHA guidelines Decide if the patient falls into one of four statin benefit groups Clinical ASCVD LDL > 190 Diabetes (age 40-75) ASCVD risk score Pooled Cohort Equation > 7.5% and age 40 to 75 ASCVD Risk Benefit Groups Adults > 21 years and Clinical ASCVD YES YES Age < 75 years able to tolerate statins of age; High NO YES Intensity statin Age > 75 years; Moderate Intensity statin LDL > 190 mg/dl High Intensity statin N O Diabetes N O ASCVD risk score > 7.5% and age 40-75 YES Moderate intensity statin ASCVD risk score is > 7.5%; High intensity statin Moderate to high intensity statin N O ASCVD risk benefit of statins may be less clear in other groups 2

Pooled cohort equation= Risk score estimates ASCVD, defined as nonfatal MI, or CHD death, or fatal or nonfatal stroke, in 10 years Framingham-based risk calculators Wilson PW, D Agostino RB, Levy D, et al. Circulation 1998;97:1837-47. 6 3

ATP III hard CHD risk score (2002) 7 ATP III hard CHD risk score (2002) 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(25):3143. 8 4

Diabetes as a risk equivalent Finnish population-based study 1,373 non-diabetics 1,059 diabetics 9 Haffner SM, Lehto S, Rönnemaa T, Pyörälä K, Laakso M. N Engl J Med. 1998 Jul 23;339(4):229-34. Framingham General CVD Risk Score (2008) TChol Including endpoints of CVA, TIA, claudication, heart failure D'Agostino RB Sr, Vasan RS, Pencina MJ, Wolf PA, Cobain M, Massaro JM, Kannel WB. Circulation. 2008 Feb 12;117(6):743-53. 10 5

Reynolds Risk Score (2007-2008) Ridker & Cook (Brigham & Women s): analysis of the Women s Health Study 24,558 participants, initially healthy women 45+yrs, followed prospectively for 10.2 yrs Outcomes: incident MI, CVA, coronary revascularization, CV death Developed the risk prediction algorithm using random 2/3 of the sample (16,400), then validated using the remaining 1/3 (8,158) 11 Ridker PM, Buring JE, Rifai N, Cook NR. JAMA 2007;297(6):611-619. ACC/AHA Pooled Cohort Equations Based on pooled data from several NHLBIsponsored cohort studies Atherosclerosis Risk in Communities (ARIC) Cardiovascular Health Study (CHS) Coronary Artery Risk Development in Young Adults (CARDIA) Framingham Original and Offspring cohort data 12 6

The Risk Score Controversy Differences in opinion on how to estimate risk First hard ASCVD events (defined as occurrence of coronary death or fatal stroke or first occurrence of nonfatal myocardial infarction [MI] or stroke) rather than CHD alone Created a new risk assessment algorithm using pooled cohort data from a number of longitudinal NHLBI-funded community based epidemiological cohort studies. Biracial, community-based population samples Using this data, equations created to predict 10 year risk. These were externally validated in the Multi-Ethnic Study of Atherosclerosis (MESA) and Reasons for Geographic and Racial Differences in Stroke study (REGARDS). Overprediction noted in the MESA and REGARDS groups, more pronounced in the higher risk than lower risk patients (but more important in the lower risk patients) Limitations to external validation- MESA low risk group, lipid-lowering and BP-lowering therapy hampers assessment- may have significantly lowered event rates 7

Ridker and Cook Calculated predicted 10-year risks of the same atherosclerotic events using the new ACC/AHA risk prediction algorithm and compared these estimates with observed event rates in three large-scale primary prevention cohorts, the Women's Health Study, the Physicians' Health Study, and the Women's Health Initiative Observational Study. In all three of these primary prevention cohorts, the new ACC/AHA risk prediction algorithm systematically overestimated observed risks by 75 150%, roughly doubling the actual observed risk. Similar overestimation of risk was observed in two external validation cohorts used by the guideline developers themselves, an issue readily acknowledged in the report. On the basis of data from these five external validation cohorts, it is possible that as many as 40 50% of the 33 million middle-aged Americans targeted by the new ACC/AHA guidelines for statin therapy do not actually have risk thresholds that exceed the 7 5% threshold suggested for treatment. Miscalibration to this extent should be reconciled and addressed in additional external validation cohorts before these new prediction models are widely implemented. It is possible, for example, that the five external validation cohorts are more contemporary than the cohorts used in the risk prediction algorithm and thus reflect secular improvements in overall health and lifestyle patterns in the USA over the past 25 years. 8

The Lancet, Volume 382, Issue 9907, 2013, 1762-1765 Paul M Ridker, Nancy R Cook Statins: new American guidelines for prevention of cardiovascular disease Paul M Ridker, Nancy R Cook Statins: new American guidelines for prevention of cardiovascular disease The Lancet, Volume 382, Issue 9907, 2013, 1762-1765 9

The Rebuttal 1990s CHD and stroke African-Americans Too complex to follow inclusion and exclusion criteria Trial data shows higher risk higher benefit Benefit extends to 5% 10 year risk Only 31% of Americans aged 40-75 w/o existing CVD are eligible for statins under the new guidelines, similar to if 20% 10 year risk had been dropped to 10% Trial data presented by Ridker and Cook had low event rates Overestimation in lower risk patients why threshold set to 7.5% 10

The European guidelines ACC/AHA Pooled Cohort Equations Men with average risk factor profile exceed the threshold at 60 yrs African American men with HTN tx exceed threshold at 50 22 Karmali KN, Goff DC, Ning H, and Lloyd-Jones DM. J Am Coll Cardiol 2014;64(10):959-968. 11

Mortensen, MB et al. J Am Coll Cardiol. 2016;68(9):881-91 12