{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,22]],"date-time":"2026-09-22T06:54:29Z","timestamp":1790060069224,"version":"4.0.1"},"reference-count":24,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"24","content-domain":{"domain":["www.ahajournals.org"],"crossmark-restriction":true},"short-container-title":["JAHA"],"published-print":{"date-parts":[[2019,12,17]]},"abstract":"<jats:sec xml:lang=\"en\">\n                    <jats:title>Background<\/jats:title>\n                    <jats:p xml:lang=\"en\">The currently used atherosclerotic cardiovascular disease risk calculator relies on several measured variables and does not incorporate some well\u2010established risk factors such as family history of premature myocardial infarction and other nontraditional risk factors. Our study aimed to develop and validate a simple risk score to predict 10\u2010year risk of incident cardiovascular events using patient\u2010reported information.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec xml:lang=\"en\">\n                    <jats:title>Methods and Results<\/jats:title>\n                    <jats:p xml:lang=\"en\">Using data from the Atherosclerosis Risk in Communities cohort, we identified adults with no previous history of cardiovascular disease and randomly divided the cohort into \u201cdevelopment\u201d (70%) and \u201cvalidation\u201d (30%) subgroups. Adjusted Cox regression modeling was used to develop a prediction model. The predictive performance of the new risk score was compared with the score derived from the atherosclerotic cardiovascular disease risk calculator. A total of 9285 individuals met the inclusion criteria. During follow\u2010up (median 8.93\u00a0years), a total of 694 (7.47%) incident cardiovascular events occurred. The following 6 factors were included: male sex, age, current smoking, diabetes mellitus, hypertension, and family history of premature myocardial infarction. The C\u2010statistic was 0.72 in the validation cohort with good calibration. The area under the curve for the simple risk score was comparable to the atherosclerotic cardiovascular disease risk score.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec xml:lang=\"en\">\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p xml:lang=\"en\">The novel simple risk score is an easy\u2010to\u2010use tool to predict cardiovascular events in adults from self\u2010reported information without need for laboratory or physical examination data. This risk score included 6\u2010items and had comparable predictive performance to the guideline recommended atherosclerotic cardiovascular disease risk score but relies solely on self\u2010reported information.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1161\/jaha.119.014123","type":"journal-article","created":{"date-parts":[[2019,12,10]],"date-time":"2019-12-10T05:00:37Z","timestamp":1575954037000},"update-policy":"https:\/\/doi.org\/10.1161\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":20,"title":["Novel Self\u2010Report Tool for Cardiovascular Risk Assessment"],"prefix":"10.1161","volume":"8","author":[{"given":"Hend","family":"Mansoor","sequence":"first","affiliation":[{"name":"Department of Health Services Research, Management, and Policy University of Florida Gainesville FL"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ara","family":"Jo","sequence":"additional","affiliation":[{"name":"Department of Health Services Research, Management, and Policy University of Florida Gainesville FL"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"V. Madsen","family":"Beau De Rochars","sequence":"additional","affiliation":[{"name":"Department of Health Services Research, Management, and Policy University of Florida Gainesville FL"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Carl J.","family":"Pepine","sequence":"additional","affiliation":[{"name":"Division of Cardiovascular Medicine Department of Medicine University of Florida Gainesville FL"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"suffix":"III","given":"Arch G.","family":"Mainous","sequence":"additional","affiliation":[{"name":"Department of Health Services Research, Management, and Policy University of Florida Gainesville FL"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"276","reference":[{"key":"e_1_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1161\/CIR.0000000000000659"},{"key":"e_1_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.1161\/01.cir.0000437741.48606.98"},{"key":"e_1_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1370\/afm.913"},{"key":"e_1_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.1161\/CIRCULATIONAHA.116.024246"},{"key":"e_1_3_1_6_2","doi-asserted-by":"publisher","DOI":"10.1136\/bmjopen-2017-020498"},{"key":"e_1_3_1_7_2","doi-asserted-by":"publisher","DOI":"10.1136\/bmj.j2099"},{"key":"e_1_3_1_8_2","doi-asserted-by":"publisher","DOI":"10.7326\/M16-1739"},{"key":"e_1_3_1_9_2","doi-asserted-by":"publisher","DOI":"10.1002\/clc.23032"},{"key":"e_1_3_1_10_2","doi-asserted-by":"publisher","DOI":"10.1093\/oxfordjournals.aje.a115184"},{"key":"e_1_3_1_11_2","doi-asserted-by":"publisher","DOI":"10.1016\/0895-4356(95)00041-0"},{"key":"e_1_3_1_12_2","doi-asserted-by":"publisher","DOI":"10.1161\/01.STR.30.4.736"},{"key":"e_1_3_1_13_2","doi-asserted-by":"publisher","DOI":"10.1111\/j.0006-341X.2005.030814.x"},{"key":"e_1_3_1_14_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.amjmed.2005.03.013"},{"key":"e_1_3_1_15_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.amjcard.2006.12.035"},{"key":"e_1_3_1_16_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.pop.2012.11.003"},{"key":"e_1_3_1_17_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.annepidem.2017.12.007"},{"key":"e_1_3_1_18_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jacc.2018.11.063"},{"key":"e_1_3_1_19_2","doi-asserted-by":"publisher","DOI":"10.1136\/annrheumdis-2011-200726"},{"key":"e_1_3_1_20_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.semarthrit.2012.12.002"},{"key":"e_1_3_1_21_2","doi-asserted-by":"publisher","DOI":"10.1093\/rheumatology\/ket293"},{"key":"e_1_3_1_22_2","doi-asserted-by":"publisher","DOI":"10.1161\/CIRCULATIONAHA.115.020324"},{"key":"e_1_3_1_23_2","doi-asserted-by":"publisher","DOI":"10.1136\/bmj.k96"},{"key":"e_1_3_1_24_2","doi-asserted-by":"publisher","DOI":"10.1089\/jwh.2016.6013"},{"key":"e_1_3_1_25_2","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2018.13326"}],"container-title":["Journal of the American Heart Association"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.ahajournals.org\/doi\/full\/10.1161\/JAHA.119.014123","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,13]],"date-time":"2024-05-13T07:28:23Z","timestamp":1715585303000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ahajournals.org\/doi\/10.1161\/JAHA.119.014123"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12,17]]},"references-count":24,"journal-issue":{"issue":"24","published-print":{"date-parts":[[2019,12,17]]}},"alternative-id":["10.1161\/JAHA.119.014123"],"URL":"https:\/\/doi.org\/10.1161\/jaha.119.014123","relation":{},"ISSN":["2047-9980"],"issn-type":[{"value":"2047-9980","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,12,17]]},"assertion":[{"value":"2019-08-20","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2019-11-07","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2019-12-10","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"e014123"}}