CLINICAL STUDY: MYOCARDIAL INFARCTION
Predicting one-year mortality among elderly survivors of hospitalization for an acute myocardial infarction: results from the Cooperative Cardiovascular Project
Harlan M. Krumholz, MD, FACC,,* ,
Jersey Chen, MD, MPH*,1,
Ya-Ting Chen, PhD*,2,
Yongfei Wang, MS* and
Martha J. Radford, MD, FACC*
* Section of Cardiovascular Medicine, Department of Medicine, Yale University School of Medicine, New Haven, Connecticut, USA
Section of Health Policy and Administration, Department of Epidemiology and Public Health, Yale University School of Medicine, New Haven, Connecticut, USA
Yale-New Haven Hospital Center for Outcomes Research and Evaluation, New Haven, Connecticut, USA
Qualidigm®, Middletown, Connecticut, USA
Manuscript received August 2, 2000;
revised manuscript received March 12, 2001,
accepted April 24, 2001.
Reprint requests and correspondence: Dr. Harlan M. Krumholz, Yale University School of Medicine, 333 Cedar Street, PO Box 208025, New Haven, Connecticut 06520-8025
OBJECTIVES
We sought to develop a model based on information available from the medical record that would accurately stratify elderly patients who survive hospitalization with an acute myocardial infarction (AMI) according to their risk of one-year mortality.
BACKGROUND
Prediction of the risk of mortality among older survivors of an AMI has many uses, yet few studies have determined the prognostic importance of demographic, clinical and functional data that are available on discharge in a population-based sample.
METHODS
In a cohort of patients aged 65 years who survived hospitalization for a confirmed AMI from 1994 to 1995 at acute care, nongovernmental hospitals in the U.S., we developed a parsimonious model to stratify patients by their risk of one-year mortality.
RESULTS
The study sample of 103,164 patients, with a mean age of 76.8 years, had a one-year mortality of 22%. The factors with the strongest association with mortality were older age, urinary incontinence, assisted mobility, presence of heart failure or cardiomegaly any time before discharge, presence of peripheral vascular disease, body mass index <20 kg/m2, renal dysfunction (defined as creatinine >2.5 mg/dl or blood urea nitrogen >40 mg/dl) and left ventricular dysfunction (left ventricular ejection fraction <40%). On the basis of the coefficients in the model, patients were stratified into risk groups ranging from 7% to 49%.
CONCLUSIONS
We demonstrate that a simple risk model can stratify older patients well by their risk of death one year after discharge for AMI.
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Abbreviations and Acronyms
| | AMI | = acute myocardial infarction | | AROC | = area under the receiver operating characteristic | | CCP | = Cooperative Cardiovascular Project | | GUSTO | = Global Utilization of Streptokinase and tPA for Occluded Coronary Arteries | | ICD-9-CM | = International Classification of Diseases, Ninth Revision, Clinical Modification | | LVEF | = left ventricular ejection fraction | | PREDICT | = Predicting Risk of Death in Cardiac Disease Tool | | ROC | = receiver operating characteristic |
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