{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,25]],"date-time":"2025-10-25T19:09:00Z","timestamp":1761419340678,"version":"3.40.5"},"reference-count":29,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2019,11,12]],"date-time":"2019-11-12T00:00:00Z","timestamp":1573516800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100004325","name":"AstraZeneca","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100004325","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Clinical Cardiology"],"published-print":{"date-parts":[[2020,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Risk prediction tools are lacking for patients with stable disease some years after myocardial infarction (MI).<\/jats:p><\/jats:sec><jats:sec><jats:title>Hypothesis<\/jats:title><jats:p>A practical long\u2010term cardiovascular risk index can be developed.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>The long\u2010Term rIsk, Clinical manaGement and healthcare Resource utilization of stable coronary artery dISease in post\u2010myocardial infarction patients prospective global registry enrolled patients 1 to 3\u2009years post\u2010MI (369 centers; 25 countries), all with \u22651 risk factor (age \u226565\u2009years, diabetes mellitus requiring medication, second prior MI, multivessel coronary artery disease, or chronic non\u2010end\u2010stage kidney disease [CKD]). Self\u2010reported health was assessed with EuroQoL\u20105 dimensions. Multivariable Poisson regression models were used to determine key predictors of the primary composite outcome (MI, unstable angina with urgent revascularization [UA], stroke, or all\u2010cause death) over 2\u2009years.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The primary outcome occurred in 621 (6.9%) of 9027 eligible patients: death 295 (3.3%), MI 195 (2.2%), UA 103 (1.1%), and stroke 58 (0.6%). All events accrued linearly. In a multivariable model, 11 significant predictors of primary outcome (age \u226565\u2009years, diabetes, second prior MI, CKD, history of major bleed, peripheral arterial disease, heart failure, cardiovascular hospitalization (prior 6 months), medical management (index MI), on diuretic, and poor self\u2010reported health) were identified and combined into a user\u2010friendly risk index. Compared with lowest\u2010risk patients, those in the top 16% had a rate ratio of 6.9 for the primary composite, and 18.7 for all\u2010cause death (overall <jats:italic>c<\/jats:italic>\u2010statistic; 0.686, and 0.768, respectively). External validation was performed using the Australian Cooperative National Registry of Acute Coronary Care, Guideline Adherence and Clinical Events registry (<jats:italic>c<\/jats:italic>\u2010statistic; 0.748, and 0.849, respectively).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>In patients &gt;1\u2010year post\u2010MI, recurrent cardiovascular events and deaths accrue linearly. A simple risk index can stratify patients, potentially helping to guide management.<\/jats:p><\/jats:sec>","DOI":"10.1002\/clc.23283","type":"journal-article","created":{"date-parts":[[2019,11,12]],"date-time":"2019-11-12T12:40:32Z","timestamp":1573562432000},"page":"24-32","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Predicting risk of cardiovascular events 1 to 3\u2009years post\u2010myocardial infarction using a global registry"],"prefix":"10.1002","volume":"43","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2212-4007","authenticated-orcid":false,"given":"Stuart J.","family":"Pocock","sequence":"first","affiliation":[{"name":"Department of Medical Statistics, London School of Hygiene and Tropical Medicine  London 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Medicine  Miami Florida"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shaun G.","family":"Goodman","sequence":"additional","affiliation":[{"name":"Already given, Terrence Donnelly Heart Centre, St Michael's Hospital, University of Toronto  Toronto Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christopher B.","family":"Granger","sequence":"additional","affiliation":[{"name":"Cardiac Intensive Care Unit, Duke Clinical Research Institute, Duke University Medical Center  Durham North Carolina"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Richard","family":"Grieve","sequence":"additional","affiliation":[{"name":"Department of Medical Statistics, London School of Hygiene and Tropical Medicine  London UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jose C.","family":"Nicolau","sequence":"additional","affiliation":[{"name":"Instituto do Cora\u00e7\u00e3o (InCor), Hospital das Cl\u00ednicas HCFMUSP, Faculdade de 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Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Satoshi","family":"Yasuda","sequence":"additional","affiliation":[{"name":"Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center  Osaka Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Katarina","family":"Hedman","sequence":"additional","affiliation":[{"name":"Global Medical Affairs Cardiovascular, Renal and Metabolic, AstraZeneca  Gothenburg Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kirsten L.","family":"Rennie","sequence":"additional","affiliation":[{"name":"Department of Medical Statistics, London School of Hygiene and Tropical Medicine  London UK"},{"name":"Oxon Epidemiology (UK)  London UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Karolina Andersson","family":"Sundell","sequence":"additional","affiliation":[{"name":"Global Medical Affairs Cardiovascular, Renal and Metabolic, AstraZeneca  Gothenburg 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