{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T13:50:37Z","timestamp":1785333037631,"version":"3.55.0"},"reference-count":27,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"20","content-domain":{"domain":["www.ahajournals.org"],"crossmark-restriction":true},"short-container-title":["JAHA"],"published-print":{"date-parts":[[2025,10,21]]},"abstract":"<jats:sec xml:lang=\"en\">\n                    <jats:title>Background<\/jats:title>\n                    <jats:p xml:lang=\"en\">The PREVENT (Predicting Risk of CVD Events) equations offer a contemporary tool for estimating long\u2010term cardiovascular risk in the general population. This study evaluates the association of baseline cardiovascular risk, calculated by PREVENT equations, with all\u2010cause and cardiovascular mortality in cancer survivors.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec xml:lang=\"en\">\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p xml:lang=\"en\">Using 10\u2009years of data from the National Health and Nutrition Examination Survey (NHANES)\u00a0(2009\u20132018), we analyzed a nationally representative cohort of US cancer survivors. Associations with outcomes were evaluated using Kaplan\u2013Meier curves and multivariable Cox models.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec xml:lang=\"en\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p xml:lang=\"en\">\n                      A total of 18\u2009722\u2009334 weighted records (2792 unweighted) were analyzed, recording 4\u2009875\u2009627 all\u2010cause deaths (26%) and 1\u2009025\u2009053 cardiovascular deaths (5.5%) over a median follow\u2010up of 9.8\u2009years; 27.84% of cancer survivors were at high baseline cardiovascular risk with variability in baseline cardiovascular risk across different cancer sites. Colon and prostate cancer survivors had the highest prevalence of high cardiovascular risk (54% and 46%, respectively). When compared with low\u2010risk individuals, those at high cardiovascular risk had a nearly 16\u2010fold higher risk of all\u2010cause mortality (adjusted hazard ratio, 15.60 [95% CI, 8.45\u201328.82];\n                      <jats:italic toggle=\"no\">P<\/jats:italic>\n                      &lt;0.001) and a 13\u2010fold higher risk of cardiovascular mortality (adjusted hazard ratio, 12.71 [95% CI, 3.00\u201353.73];\n                      <jats:italic toggle=\"no\">P<\/jats:italic>\n                      &lt;0.001) up to a decade of follow\u2010up. Each 5% increase in baseline cardiovascular risk was associated with higher risks of all\u2010cause mortality (36%) and cardiovascular mortality (51%) (adjusted hazard ratio, 1.36 [95% CI, 1.30\u20131.42]; adjusted hazard ratio, 1.51 [95% CI, 1.33\u20131.72],\n                      <jats:italic toggle=\"no\">P<\/jats:italic>\n                      &lt;0.001 for both).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec xml:lang=\"en\">\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p xml:lang=\"en\">This study highlights the usefulness of the PREVENT equations for predicting all\u2010cause and cardiovascular mortality in cancer survivors.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1161\/jaha.125.042209","type":"journal-article","created":{"date-parts":[[2025,10,8]],"date-time":"2025-10-08T10:31:50Z","timestamp":1759919510000},"update-policy":"https:\/\/doi.org\/10.1161\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":2,"title":["Prognostic Value of the American Heart Association PREVENT Cardiovascular Disease Risk Equations in Cancer Survivorship: A NHANES Population\u2010Based Study (2009\u20132018)"],"prefix":"10.1161","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4600-2701","authenticated-orcid":false,"given":"Mustafa","family":"Al\u2010Jarshawi","sequence":"first","affiliation":[{"name":"Keele University","place":["Stoke\u2010on\u2010Trent, United Kingdom"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7418-498X","authenticated-orcid":false,"given":"Ofer","family":"Kobo","sequence":"additional","affiliation":[{"name":"Keele University","place":["Stoke\u2010on\u2010Trent, United Kingdom"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6840-8051","authenticated-orcid":false,"given":"Dennis T.","family":"Ko","sequence":"additional","affiliation":[{"name":"University of Toronto","place":["Canada"]},{"name":"The Institute for Clinical Evaluative Sciences (ICES)","place":["Toronto, Canada"]},{"name":"Temerty Faculty of Medicine University of Toronto","place":["Canada"]},{"name":"Management and Evaluation University of Toronto","place":["Canada"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8464-1080","authenticated-orcid":false,"given":"Harindra C.","family":"Wijeysundera","sequence":"additional","affiliation":[{"name":"University of Toronto","place":["Canada"]},{"name":"The Institute for Clinical Evaluative Sciences (ICES)","place":["Toronto, Canada"]},{"name":"Temerty Faculty of Medicine University of Toronto","place":["Canada"]},{"name":"Management and Evaluation University of Toronto","place":["Canada"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"M. Golam","family":"Azam","sequence":"additional","affiliation":[{"name":"National Institute of Cardiovascular Diseases (NICVD)","place":["Dhaka, Bangladesh"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6754-7129","authenticated-orcid":false,"given":"Victoria","family":"Silverwood","sequence":"additional","affiliation":[{"name":"Keele University","place":["Stoke\u2010on\u2010Trent, United Kingdom"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1227-2703","authenticated-orcid":false,"given":"Ram","family":"Bajpai","sequence":"additional","affiliation":[{"name":"Keele University","place":["Stoke\u2010on\u2010Trent, United Kingdom"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1888-9429","authenticated-orcid":false,"given":"Rodrigo","family":"Bagur","sequence":"additional","affiliation":[{"name":"Western University","place":["London, Canada"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9241-8890","authenticated-orcid":false,"given":"Mamas A.","family":"Mamas","sequence":"additional","affiliation":[{"name":"Keele University","place":["Stoke\u2010on\u2010Trent, United Kingdom"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"276","reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1136\/bmjonc-2023-000090"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1158\/1055-9965.EPI-16-0133"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11883-022-01021-x"},{"key":"e_1_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.1002\/ejhf.1920"},{"key":"e_1_3_2_6_2","doi-asserted-by":"publisher","DOI":"10.1161\/CIR.0000000000001191"},{"key":"e_1_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.1093\/eurheartj\/ehw211"},{"key":"e_1_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.1200\/JCO.2016.70.5400"},{"key":"e_1_3_2_9_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jacc.2018.11.005"},{"key":"e_1_3_2_10_2","first-page":"1","article-title":"The prediction of cardiac events using contemporary risk prediction models after radiation therapy for head and neck cancer","volume":"14","author":"Alvi RM","year":"2022","unstructured":"Alvi RM, Quinaglia T, Spahillari A, Suero\u2010Abreu GA, Hassan MZO, Gongora C, et\u00a0al. 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