ASCVD Risk Assessment in Pre and Post menopausal Women: Is it All About Age?

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ASCVD Risk Assessment in Pre and Post menopausal Women: Is it All About Age? National Lipid Association 2016 New Orleans, LA 22 May 2016 Martha Gulati, MD, MD, FACC, FAHA Professor of Medicine, Division of Cardiology Chief, Section of Cardiology University of Arizona Phoenix Phoenix, AZ

None Disclosures

Total Deaths in Women in USA 2013: 1,236,003 Cardiovascular Disease 398,068 Chronic Lung Disease 75,422 Prevalence of CVD in US Women: 42,700,000 Lung Cancer 70,542 Breast Cancer 40,861 Prevalence of Breast Cancer in US Women: 2,899,726 Mozaffarian D et al. Circulation. 2016; 133: e38 e360 Centers for Disease Control and Prevention, and National Cancer Institute; 2015

ASCVD Risk Score Released in November 2013 Treat to target goals for LDL C and non HDL C were no longer recommended Treatment is focused on intensity of statin, (high and moderate intensity), virtually eliminating low dose statin therapy ASCVD definition now includes stroke in addition to coronary heart disease and peripheral arterial disease 4 major treatment groups were identified Marked reduced emphasis on non statin therapies No guidelines are provided for treatment of triglycerides

Atherosclerotic Cardiovascular Disease (ASCVD) Risk Calculator 10 year risk: 40 79 years Lifetime risk: 20 59 risk estimator provides lifetime risk estimate Internal/External Validation in diverse populations This is intended to drive discussions of greater adherence to hearthealthy lifestyle in addition to determining who would benefit from lipid lowering therapy Sex Specific Risk Factors? 5 http://tools.cardiosource.org/ascvd Risk Estimator/

4 Major Treatment Groups 1. Individuals with Clinical ASCVD 2. Individuals with LDL C 190 mg/dl 3. Individuals with diabetes aged 40 75, LDL C 70 189 mg/dl without clinical ASCVD 4. Individuals aged 40 75, LDL C 70 189 mg/dl, without ASCVD but estimated 10 yr CVD risk of 7.5%

10 Year ASCVD Risk by Varying Single Risk Factor Levels in Women 10-Year ASCVD Risk by Varying Single Risk Factor Levels in Women: Examination of the ASCVD Tool 10-year predicted risks for ASCVD by varying levels of single risk factors in a hypothetical non-hispanic white woman (A-D) and AA woman (E-H) at selected ages: individually varied total cholesterol, HDL, untreated SBP, or treated SBP with all other risk factors held constant at approximate age-adjusted national means (including nondiabetic and nonsmoking) J Am Coll Cardiol. 2014;64(10):959-968. doi:10.1016/j.jacc.2014.06.1186

10 Year ASCVD Risk by Varying Single Risk Factor Levels in Women Linear Variation Greatest for SBP (tx/untx) Risk varied curvilinearly with HDL for all ages in a AA & non Hispanic white man but only up to 70 years of age for a non Hispanic white woman & 60 years of age for an African American woman In a hypothetical man who was a nonsmoker and did not have diabetes, 10 year estimated ASCVD risk exceeded 7.5% at every level entered for total cholesterol, HDL cholesterol, and treated SBP after 65 years of age regardless of race. In a similar hypothetical woman, this occurred at 75 years of age regardless of race. J Am Coll Cardiol. 2014;64(10):959-968. doi:10.1016/j.jacc.2014.06.1186

10 Year ASCVD Risk in Diabetic Patients by Race Sex Group Men: average risk factors & untreated SBP, smoking or DM led to 10 year ASCVD risk 7.5% at 55y non Hispanic WM/ 45y for AA man (50y & 40y, respectively, if tx SBP) Women: average risk factors, smoking or DM led to 10 year risk 7.5% at 60y WW and 55y AA woman (60y & 50y, respectively, if tx SBP). In all 4 race sex groups, the presence of diabetes appeared to have a slightly more prominent effect on predicted risk than smoking. J Am Coll Cardiol. 2014;64(10):959-968. doi:10.1016/j.jacc.2014.06.1186

Risk Assessment in Women: ATPIII vs ASCVD ATP III: Intrinsic properties of ATP III demonstrated that few women exceeded treatment thresholds set by ATP III (predicting CHD endpoint) Nondiabetic man with average risk factor levels could reach the 10% intermediate risk category when > 60 y. A woman remained in a low risk category at all eligible ages. Moreover, unlike a man, who could exceed the 10% intermediate risk threshold with modestly elevated risk factors at 45y, a woman could only reach this risk threshold with extreme risk factor levels after 70y ASCVD: The inclusion of stroke in the Pooled Cohort Equations & emphasis on absolute risk, independent of LDL targets, results in the identification of many more women who may benefit from consideration of statin treatment. Because stroke constitutes a much greater proportion of CVD events in women (many of whom are <75 y), these changes in risk assessment may hold important public health implications.

So Is It All About The Age? The incorporation of diabetes into quantitative risk assessment is another shift from ATP III, in which diabetes was considered a risk equivalent condition Age Effect: Strong age effect on 10 year multivariable risk assessment was once again demonstrated. Even among individuals with optimal risk factors, 10 year ASCVD risk 7.5% was reached by 65y in a non Hispanic WM, 70y in AA man, 75y in a non Hispanic WW, and 70 y in an AA woman Unfortunately, very few individuals with all optimal risk factors actually exist in the United States, as data from National Health and Nutrition Examination Surveys (NHANES) estimate a prevalence of 2.4% of all optimal risk factors in U.S. adults 60y

What About Those at Optimal Risk? Optimal Risk Prevalence: NHANES 2007 2010 (Age 40 79) Very few Americans with Optimal Risk based on NHANES sample Thus, the clinical and public health significance of this feature of the equations is minimal. Percent at Optimal Risk 6 5 4 3 2 1 0 NHANES White Men Black Men White Women Black Women

What About Those at Optimal Risk? From a clinical perspective, the recommended clinician patient discussion should facilitate shared decision making regarding the potential use of statins in these individuals with optimal risk factors. Conversely, young individuals 40 to 50 years of age may not reach a 10 year predicted ASCVD risk of 7.5% or even the moderately recommended risk threshold of 5% to <7.5% 10 year ASCVD risk in spite of significant risk factor burden. These findings highlight the importance of engaging in a clinicianpatient discussion before statin prescription to review the specific components that contribute to the patient s CVD risk and potential modifiable factors that could mitigate that risk. They also underscore the importance of the recommendation to assess longer term risk in younger individuals (age 50 years of age) who may have substantial risk factor burden but low short term risk, primarily because of their age.

Limitations: ASCVD Risk Assessment Older Adults: virtually absent in the RCT data that informed the guideline Except for PROSPER (Prospective Study of Pravastatin in the Elderly at Risk) 8,804 patients 70 82 y, & SAGE (Study Addressing Goals in the Elderly) 893 patients 65 85 y, ~20 30% of 1 o & 2 o prevention lipid trial participants >70 y Statin treatment risk paradox: despite high attributable risk of hypercholesterolemia & statin associated reduction in allcause mortality in elderly, statin use declines sharply at elderly age Despite SAGE & PROSPER demonstration of greater benefit in older patients with statin (High vs mod; statin vs placebo; respectively), paucity of data resulted only in 2 o recommendation

Limitations: ASCVD Risk Assessment The PINNACLE registry data offer little further elucidation. The mean PINNACLE patients age was 65.2 years, and only 29.9% were in the Medicare category. The Pooled Cohort Equations provide no ASCVD estimate for those older than age 75 years, who have the highest absolute ASCVD event risk, nor did its antecedent, the Framingham Risk Score. The 2004 update to the National Cholesterol Education Program ATPIII guideline explicitly confirmed that older persons benefit from therapeutic LDL C lowering Matters for aging population, specifically women

Limitations: ASCVD Risk Assessment Race: Pooled Cohort Equations provide guidance only for non Hispanic whites & blacks. Data lacking for South Asians (high risk group) and any other race Vulnerable populations merit special attention where observational studies or expert opinion may be all that is currently available Avoid suggesting that these high risk populations await their 40th birthdays for risk assessment and interventions Age based discrimination at both ends of the spectrum poses a potentially serious challenge.

So What Is Missing for Risk Assessment for Women When We Rely on ASCVD?

Baby Weight and Risk of Heart Disease and Diabetes Followed 305 Patients for 1 year post partum Women who maintained excess pounds between 3-12 months postpartum had elevated risk factors for diabetes and cardiovascular disease Women who didn't lose weight had higher blood pressure, higher levels of LDL, apo B and greater resistance to insulin (25% of cohort) Indirect Evidence that women who don t lose their baby weight are at greater risk for heart disease Kew S et al. Diabetes Care 2014

Preterm Delivery (PTD) and CVD Cohort (N=47,908): women who delivered preterm (<37 weeks' gestation) [N=5992 (12.5%)] vs. Normal term birth at the same period During a follow up period of >10 years, patients with PTD had higher rates of simple and complex cardiovascular events and higher rates of total cardiovascular related hospitalizations Hospitalizations Kessous. PTD and future risk for cardiovascular disease. Am J Obstet Gynecol 2013.

Gestational Diabetes Mellitus and Risk of Maternal CVD Nationwide: All births 2007 2008 in France: 7 year follow up; 1,518,990 deliveries with 62,958 with GDM Goueslard et al. Cardiovasc Diabetol (2016) 15:15

Hypertensive Disorders of Pregnancy (HDP) and Risk of Maternal CVD Rich-Edwards J W et al. Epidemiol Rev 2014;36:57-70

Northern Finland Birth Cohort 1966: Risk For CVD, MI and MI Deaths in Women with Hypertension during Pregnancy. Northern Finland Birth Cohort in 1966 (12,055) Elevated BP during pregnancy, regardless of type, signals high risk of CVD, CKD and DM Männistö T et al. Circulation. 2013;127:681-690

Heart Disease Secondary to Breast Cancer Treatment Heart Disease and Breast Cancer Radiation: Left vs Right Breast: Increased risk of CAD & MI No Increase in cardiac death Heart Disease and Anthracyclines: Reported 10 50% with some degree of heart failure in following 10 years Heart Disease and Herceptin (Tratuzumab): Increased risk if age >50, use of hypertensive medications or lownormal heart function (3.8% vs 0.9% after 5 years) In elderly (>70 y), much greater risk shown higher rates in those with heart disease or with diabetes Heart Disease with Combination Chemotherapy: 12,500 Women: 7X more likely to develop heart disease or CHF if received both anthracycline and Herceptin 4X more likely to have heart disease or CHF received Herceptin alone Harris et al. J Clin Oncology 2006:26:1390 Marcom et al. J Clin Oncology 2007 Serrano et al. Annals of Oncology 2011 Bowles et al. Journal NCI. 2012;104:1293 1305

Risk of IHD after Radiation for Breast Cancer Rates of Coronary events increased by 7.4%/ Gy (P<0.001) Avg radiation 1 2 Gy to Right Breast, usually higher in Left Breast Risk of major coronary events began within 5 years after exposure Darby et al. NEJM 2013;368:987 998

Future Considerations for ASCVD Risk Assessment in Women Women with Pregnancy related CV Risks Women With PCOS Women with Breast Cancer Women with systemic autoimmune disorders(sle/ra Sex Hormones/HRT Use Race Specific: Need more data Age Specific: Age based discrimination at both ends of the spectrum; need more data on young and elderly Must avoid suggesting that these high risk populations await their 40th birthdays for risk assessment and interventions.

Approach Assess ASCVD Risk Include FHx Consider MESA Risk Score Inventory of Sex Specific Risk Factors Pregnancy CV Risks PCOS Breast Cancer/Chest Radiation HRT/Menopausal State Assess Women Predominant Conditions SLE RA Personalize for Patient Personalize/Precision Medicine

@drmarthagulati MarthaGulati.com