{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,3]],"date-time":"2026-11-03T08:34:41Z","timestamp":1793694881341,"version":"4.5.1"},"reference-count":21,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"13","content-domain":{"domain":["www.ahajournals.org"],"crossmark-restriction":true},"short-container-title":["Circulation"],"published-print":{"date-parts":[[2019,3,26]]},"abstract":"<jats:sec>\n            <jats:title>Background:<\/jats:title>\n            <jats:p>To optimize preventive strategies for coronary heart disease (CHD), it is essential to understand and appropriately quantify the contribution of its key risk factors. Our objective was to compare the associations of key modifiable CHD risk factors\u2014specifically lipids, systolic blood pressure (SBP), diabetes mellitus, and smoking\u2014with incident CHD events based on their prognostic performance, attributable risk fractions, and treatment benefits, overall and by age.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Methods:<\/jats:title>\n            <jats:p>Pooled participant-level data from 4 observational cohort studies sponsored by the National Heart, Lung, and Blood Institute were used to create a cohort of 22 626 individuals aged 45 to 84 years who were initially free of cardiovascular disease. Individuals were followed for 10 years from baseline evaluation for incident CHD. Proportional hazards regression was used to estimate metrics of prognostic model performance (likelihood ratio, C index, net reclassification, discrimination slope), hazard ratios, and population attributable fractions for SBP, non\u2013high-density lipoprotein cholesterol (non\u2013HDL-C), diabetes mellitus, and smoking. Expected absolute risk reductions for antihypertensive and lipid-lowering treatment were assessed.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Results:<\/jats:title>\n            <jats:p>Age, sex, and race capture 63% to 80% of the prognostic performance of cardiovascular risk models. In contrast, adding either SBP, non\u2013HDL-C, diabetes mellitus, or smoking to a model with other risk factors increases the C index by only 0.004 to 0.013. However, primordial prevention could have a substantial effect as demonstrated by population attributable fractions of 28% for SBP\u2265130 mm\u2009Hg and 17% for non\u2013HDL-C\u2265130 mg\/dL. Similarly, lowering the SBP of all individuals to &lt;130 mm\u2009Hg or lowering low-density lipoprotein cholesterol by 30% would be expected to lower a baseline 10-year CHD risk of 10.7% to 7.0 and 8.0, respectively (absolute risk reductions: 3.7% and 2.7%, respectively). Prognostic performance decreases with age (C indices for age groups 45\u201354, 55\u201364, 65\u201374, 75\u201384 are 0.75, 0.72, 0.66, and 0.62, respectively), whereas absolute risk reductions increase (SBP: 1.1%, 2.3%, 5.4%, 10.3%, respectively; non\u2013HDL-C: 1.1%, 2.0%, 3.7%, 5.9%, respectively).<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Conclusions:<\/jats:title>\n            <jats:p>Although individual modifiable CHD risk factors contribute only modestly to prognostic performance, our models indicate that eliminating or controlling these individual factors would lead to substantial reductions in total population CHD events. Metrics used to judge importance of risk factors should be tailored to the research objectives.<\/jats:p>\n          <\/jats:sec>","DOI":"10.1161\/circulationaha.117.031855","type":"journal-article","created":{"date-parts":[[2019,1,17]],"date-time":"2019-01-17T13:44:06Z","timestamp":1547732646000},"page":"1603-1611","update-policy":"https:\/\/doi.org\/10.1161\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":219,"title":["Quantifying Importance of Major Risk Factors for Coronary Heart Disease"],"prefix":"10.1161","volume":"139","author":[{"given":"Michael J.","family":"Pencina","sequence":"first","affiliation":[{"name":"Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC (M.J.P., A.M.N., D.W., E.D.P.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ann Marie","family":"Navar","sequence":"additional","affiliation":[{"name":"Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC (M.J.P., A.M.N., D.W., E.D.P.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daniel","family":"Wojdyla","sequence":"additional","affiliation":[{"name":"Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC (M.J.P., A.M.N., D.W., E.D.P.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Robert J.","family":"Sanchez","sequence":"additional","affiliation":[{"name":"Regeneron Pharmaceuticals Inc, Tarrytown, NY (R.J.S., J.E.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Irfan","family":"Khan","sequence":"additional","affiliation":[{"name":"Real-World Evidence and Clinical Outcomes, Sanofi, Bridgewater, NJ (I.K.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joseph","family":"Elassal","sequence":"additional","affiliation":[{"name":"Regeneron Pharmaceuticals Inc, Tarrytown, NY (R.J.S., J.E.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"suffix":"Sr","given":"Ralph B.","family":"D\u2019Agostino","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Statistics, Boston University, MA (R.B.D.)."},{"name":"Baim Institute for Clinical Research, Boston, MA (R.B.D.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eric D.","family":"Peterson","sequence":"additional","affiliation":[{"name":"Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC (M.J.P., A.M.N., D.W., E.D.P.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Allan D.","family":"Sniderman","sequence":"additional","affiliation":[{"name":"Mike Rosenbloom Laboratory for Cardiovascular Research, McGill University Health Centre, Royal Victoria Hospital, Montreal, Quebec, Canada (A.D.S.)."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"276","reference":[{"key":"e_1_3_4_2_2","doi-asserted-by":"publisher","DOI":"10.1007\/s12170-010-0084-x"},{"key":"e_1_3_4_3_2","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa055373"},{"key":"e_1_3_4_4_2","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2016.13614"},{"key":"e_1_3_4_5_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10654-009-9405-0"},{"key":"e_1_3_4_6_2","doi-asserted-by":"publisher","DOI":"10.1161\/CIRCULATIONAHA.115.018383"},{"key":"e_1_3_4_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jacc.2016.09.928"},{"key":"e_1_3_4_8_2","doi-asserted-by":"publisher","DOI":"10.1089\/bio.2014.0050"},{"key":"e_1_3_4_9_2","doi-asserted-by":"publisher","DOI":"10.1161\/01.HYP.36.4.477"},{"key":"e_1_3_4_10_2","doi-asserted-by":"publisher","DOI":"10.1002\/sim.2165"},{"key":"e_1_3_4_11_2","doi-asserted-by":"publisher","DOI":"10.1161\/01.cir.0000437741.48606.98"},{"key":"e_1_3_4_12_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-3462-1"},{"key":"e_1_3_4_13_2","doi-asserted-by":"publisher","DOI":"10.1002\/sim.1802"},{"key":"e_1_3_4_14_2","doi-asserted-by":"publisher","DOI":"10.1002\/sim.7041"},{"key":"e_1_3_4_15_2","doi-asserted-by":"publisher","DOI":"10.1002\/sim.2929"},{"key":"e_1_3_4_16_2","doi-asserted-by":"publisher","DOI":"10.1093\/aje\/kwp457"},{"key":"e_1_3_4_17_2","doi-asserted-by":"publisher","DOI":"10.1001\/jamacardio.2016.0218"},{"key":"e_1_3_4_18_2","doi-asserted-by":"publisher","DOI":"10.1161\/CIR.0000000000000596"},{"key":"e_1_3_4_19_2","doi-asserted-by":"publisher","DOI":"10.1161\/CIRCULATIONAHA.114.012477"},{"key":"e_1_3_4_20_2","doi-asserted-by":"publisher","DOI":"10.1161\/01.cir.0000437738.63853.7a"},{"key":"e_1_3_4_21_2","doi-asserted-by":"publisher","DOI":"10.1001\/jamacardio.2016.2861"},{"key":"e_1_3_4_22_2","doi-asserted-by":"publisher","DOI":"10.1161\/CIRCULATIONAHA.116.026252"}],"container-title":["Circulation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.ahajournals.org\/doi\/full\/10.1161\/CIRCULATIONAHA.117.031855","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,6]],"date-time":"2025-02-06T08:09:29Z","timestamp":1738829369000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ahajournals.org\/doi\/10.1161\/CIRCULATIONAHA.117.031855"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,3,26]]},"references-count":21,"journal-issue":{"issue":"13","published-print":{"date-parts":[[2019,3,26]]}},"alternative-id":["10.1161\/CIRCULATIONAHA.117.031855"],"URL":"https:\/\/doi.org\/10.1161\/circulationaha.117.031855","relation":{},"ISSN":["0009-7322","1524-4539"],"issn-type":[{"value":"0009-7322","type":"print"},{"value":"1524-4539","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,3,26]]},"assertion":[{"value":"2017-09-22","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication 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