Hospital discharge risk score system for the assessment of clinical outcomes in patients with acute myocardial infarction (Korea Acute Myocardial Infarction Registry [KAMIR] score).

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.

[1]  Peter Herbison,et al.  Global Registry of Acute Coronary Events (GRACE) hospital discharge risk score accurately predicts long-term mortality post acute coronary syndrome. , 2007, American heart journal.

[2]  J. Alpert,et al.  Joint ESC/ACCF/AHA/WHF Task Force for the Redefinition of Myocardial Infarction , 2008 .

[3]  L. Køber Importance of Congestive Heart Failure and Interaction of Congestive Heart Failure and Left Ventricular Systolic Function on Prognosis in Patients With Acute Myocardial Infarction , 1996 .

[4]  Á. Avezum,et al.  Impact of prior peripheral arterial disease and stroke on outcomes of acute coronary syndromes and effect of evidence-based therapies (from the Global Registry of Acute Coronary Events). , 2007, The American journal of cardiology.

[5]  John A Kellum,et al.  Acute Kidney Injury Network: report of an initiative to improve outcomes in acute kidney injury , 2007, Critical care.

[6]  B. Gersh Treatments, Trends, and Outcomes of Acute Myocardial Infarction and Percutaneous Coronary Intervention , 2011 .

[7]  E. Braunwald,et al.  Association between blood glucose and long-term mortality in patients with acute coronary syndromes in the OPUS-TIMI 16 trial. , 2006, The American journal of cardiology.

[8]  Patricia A Pellikka,et al.  Wall motion score index and ejection fraction for risk stratification after acute myocardial infarction. , 2006, American heart journal.

[9]  J. Hanley,et al.  The meaning and use of the area under a receiver operating characteristic (ROC) curve. , 1982, Radiology.

[10]  A. Yan,et al.  Risk scores for risk stratification in acute coronary syndromes: useful but simpler is not necessarily better. , 2007, European heart journal.

[11]  C. Frampton,et al.  Renal and cardiac function for long-term (10 year) risk stratification after myocardial infarction. , 2009, European heart journal.

[12]  T. Killip,et al.  Treatment of myocardial infarction in a coronary care unit. A two year experience with 250 patients. , 1967, The American journal of cardiology.

[13]  J. Ornato,et al.  ACC/AHA 2007 guidelines for the management of patients with unstable angina/non-ST-Elevation myocardial infarction: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines (Writing Committee to Revise the 2002 Guidelines for the Management of Patie , 2007, Journal of the American College of Cardiology.

[14]  G. Paolisso,et al.  Tight glycemic control reduces heart inflammation and remodeling during acute myocardial infarction in hyperglycemic patients. , 2009, Journal of the American College of Cardiology.

[15]  Jeroen J. Bax,et al.  Universal definition of myocardial infarction. , 2007 .

[16]  W. Schmiegel,et al.  Plasma glucose at hospital admission and previous metabolic control determine myocardial infarct size and survival in patients with and without type 2 diabetes: the Langendreer Myocardial Infarction and Blood Glucose in Diabetic Patients Assessment (LAMBDA). , 2005, Diabetes care.

[17]  A. Camm,et al.  Changes in absolute and relative importance in the prognostic value of left ventricular systolic function and congestive heart failure after acute myocardial infarction. TRACE Study Group. Trandolapril Cardiac Evaluation. , 1998, The American journal of cardiology.

[18]  A. Yan,et al.  Optimal medical therapy at discharge in patients with acute coronary syndromes: temporal changes, characteristics, and 1-year outcome. , 2007, American heart journal.

[19]  Á. Avezum,et al.  A validated prediction model for all forms of acute coronary syndrome: estimating the risk of 6-month postdischarge death in an international registry. , 2004, JAMA.

[20]  R. Califf,et al.  Prognostic Implications of Abnormalities in Renal Function in Patients With Acute Coronary Syndromes , 2002, Circulation.

[21]  J. Ornato,et al.  Predictive power of systolic function and congestive heart failure in patients with patients admitted for chest pain without ST elevation in the troponin era. , 2008, American heart journal.

[22]  J. Gurwitz,et al.  Age-related trends in short- and long-term survival after acute myocardial infarction: a 20-year population-based perspective (1975-1995). , 1998, The American journal of cardiology.

[23]  A. Camm,et al.  Importance of congestive heart failure and interaction of congestive heart failure and left ventricular systolic function on prognosis in patients with acute myocardial infarction. , 1996, The American journal of cardiology.

[24]  Robert M Califf,et al.  Relation between renal dysfunction and cardiovascular outcomes after myocardial infarction. , 2004, The New England journal of medicine.

[25]  E. Braunwald,et al.  Influence of race, sex, and age on management of unstable angina and non-Q-wave myocardial infarction: The TIMI III registry. , 1996 .

[26]  Á. Avezum,et al.  A validated prediction model for all forms of acute coronary syndrome:estimating the risk of 6-month postdischarge death in an international registry , 2004 .

[27]  P. Raskin,et al.  Hyperglycemia and acute coronary syndrome: a scientific statement from the American Heart Association Diabetes Committee of the Council on Nutrition, Physical Activity, and Metabolism. , 2008, Circulation.

[28]  E. Topol,et al.  Prognostic importance of physical examination for heart failure in non-ST-elevation acute coronary syndromes: the enduring value of Killip classification. , 2003, JAMA.

[29]  W. Rogers,et al.  Trends in quality of care for patients with acute myocardial infarction in the National Registry of Myocardial Infarction from 1990 to 2006. , 2008, American heart journal.