Hospital Discharge Risk Score System for the Assessment of Clinical Outcomes in Patients with Acute Myocardial Infarction (Korea Acute Myocardial Infarction Registry [KAMIR] Score)

Hyun Kuk KimMyung Ho JeongYoungkeun AhnJong Hyun KimShung Chull ChaeYoung Jo KimSeung Ho HurIn Whan SeongTaek Jong HongDong Hoon ChoiMyeong Chan ChoChong Jin KimKi Bae SeungWook Sung ChungYang Soo JangSeung Woon RhaJang Ho BaeJeong Gwan ChoSeung Jung Park
Dept. of Internal Medicine (내과학)
Issue Date
American Journal of Cardiology, Vol.107(7) : 965-971, 2011
Assessment of risk at time of discharge could be a useful tool for guiding postdischarge management. The aim of this study was to develop a novel and simple assessment tool for better hospital discharge risk stratification. The study included 3,997 hospital-discharged patients with acute myocardial infarction who were enrolled in the nationwide prospective Korea Acute Myocardial Infarction Registry-1 (KAMIR-1) from November 2005 through December 2006. The new risk score system was tested in 1,461 hospital-discharged patients who were admitted from January 2007 through January 2008 (KAMIR-2). The new risk score system was compared to the Global Registry of Acute Coronary Events (GRACE) postdischarge risk model during a 12-month clinical follow-up. During 1-year follow-up, all-cause death occurred in 228 patients (5.7%) and 81 patients (5.5%) in the development and validation cohorts, respectively. The new risk score (KAMIR score) was constructed using 6 independent variables related to the primary end point using a multivariable Cox regression analysis: age, Killip class, serum creatinine, no in-hospital percutaneous coronary intervention, left ventricular ejection fraction, and admission glucose based on multivariate- adjusted risk relation. The KAMIR score demonstrated significant differences in its predictive accuracy for 1-year mortality compared to the GRACE score for the developmental and validation cohorts. In conclusion, the KAMIR score for patients with acute myocardial infarction is a simpler and better risk scoring system than the GRACE hospital discharge risk model in prediction of 1-year mortality. © 2011 Elsevier Inc. All rights reserved. (Am J Cardiol 2011;107:965–971)
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