2004
DOI: 10.1001/jama.291.22.2727
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A Validated Prediction Model for All Forms of Acute Coronary Syndrome

Abstract: LINICAL PREDICTION MODELS may be helpful for medical decision making 1 as patients judged to be at higher risk may receive more aggressive surveillance and/or earlier treatment, while patients estimated to be at lower risk may be reassured and managed less aggressively. 2,3 By using simple yet valid risk calculations, clinicians can accurately advise patients about their likelihood of an event, and how this likelihood translates into treatment decisions. The acute coronary syndrome (ACS) encompasses a continuu… Show more

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Cited by 1,387 publications
(357 citation statements)
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“…In recent years, a considerable number of studies have analyzed the prognostic role of different biochemical markers in patients with AMI with the objective of identifying patients at a high risk of death or myocardial infarction [12,13]. Renal failure is known to be a sign of poor prognosis in both the short and long term for patients with ischemic heart disease [2,3].…”
Section: Discussionmentioning
confidence: 99%
“…In recent years, a considerable number of studies have analyzed the prognostic role of different biochemical markers in patients with AMI with the objective of identifying patients at a high risk of death or myocardial infarction [12,13]. Renal failure is known to be a sign of poor prognosis in both the short and long term for patients with ischemic heart disease [2,3].…”
Section: Discussionmentioning
confidence: 99%
“…The risk of cardiovascular events is particularly high in patients with earlier CVD manifestations 6, 7. For example, the 3‐year cumulative incidence of major adverse cardiovascular events in patients undergoing carotid endarterectomy was 13% 8.…”
Section: Introductionmentioning
confidence: 99%
“…Clinical covariates included body mass index, prior AMI (before the AMI at index hospitalization), prior CABG, prior stroke or transient ischemic attack, prior stable angina, cancer, diabetes mellitus, hypertension, hypercholesterolemia, peripheral vascular disease, chronic kidney disease, dialysis, chronic heart failure, chronic lung disease, family history of coronary artery disease, depression, and baseline health status (as measured by Seattle Angina Questionnaire angina frequency and quality of life scores8 and Short Form 12 physical and mental component summary scores9). Index hospitalization clinical covariates included initial systolic blood pressure, initial heart rate, ST‐segment elevations on ECG, left ventricular systolic dysfunction (ejection fraction <40%), Global Registry of Acute Coronary Event discharge risk score,10 and highest serum troponin level. Finally, treatment characteristics during index AMI hospitalization included in‐hospital PCI and CABG and medications at admission and at discharge, including aspirin, beta blockers, statins, angiotensin antagonists, thienopyridines, and insulin.…”
Section: Methodsmentioning
confidence: 99%