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Predicting In-Hospital Mortality in Patients With Acute Myocardial Infarction.

Authors :
McNamara RL
Kennedy KF
Cohen DJ
Diercks DB
Moscucci M
Ramee S
Wang TY
Connolly T
Spertus JA
Source :
Journal of the American College of Cardiology [J Am Coll Cardiol] 2016 Aug 09; Vol. 68 (6), pp. 626-635.
Publication Year :
2016

Abstract

Background: As a foundation for quality improvement, assessing clinical outcomes across hospitals requires appropriate risk adjustment to account for differences in patient case mix, including presentation after cardiac arrest.<br />Objectives: The aim of this study was to develop and validate a parsimonious patient-level clinical risk model of in-hospital mortality for contemporary patients with acute myocardial infarction.<br />Methods: Patient characteristics at the time of presentation in the ACTION (Acute Coronary Treatment and Intervention Outcomes Network) Registry-GWTG (Get With the Guidelines) database from January 2012 through December 2013 were used to develop a multivariate hierarchical logistic regression model predicting in-hospital mortality. The population (243,440 patients from 655 hospitals) was divided into a 60% sample for model derivation, with the remaining 40% used for model validation. A simplified risk score was created to enable prospective risk stratification in clinical care.<br />Results: The in-hospital mortality rate was 4.6%. Age, heart rate, systolic blood pressure, presentation after cardiac arrest, presentation in cardiogenic shock, presentation in heart failure, presentation with ST-segment elevation myocardial infarction, creatinine clearance, and troponin ratio were all independently associated with in-hospital mortality. The C statistic was 0.88, with good calibration. The model performed well in subgroups based on age; sex; race; transfer status; and the presence of diabetes mellitus, renal dysfunction, cardiac arrest, cardiogenic shock, and ST-segment elevation myocardial infarction. Observed mortality rates varied substantially across risk groups, ranging from 0.4% in the lowest risk group (score <30) to 49.5% in the highest risk group (score >59).<br />Conclusions: This parsimonious risk model for in-hospital mortality is a valid instrument for risk adjustment and risk stratification in contemporary patients with acute myocardial infarction.<br /> (Copyright © 2016 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1558-3597
Volume :
68
Issue :
6
Database :
MEDLINE
Journal :
Journal of the American College of Cardiology
Publication Type :
Academic Journal
Accession number :
27491907
Full Text :
https://doi.org/10.1016/j.jacc.2016.05.049