Does Simplicity Compromise Accuracy in ACS Risk Prediction? A Retrospective Analysis of the TIMI and GRACE Risk Scores

被引:114
作者
Aragam, Krishna G. [1 ]
Tamhane, Umesh U. [1 ]
Kline-Rogers, Eva [1 ]
Li, Jin [1 ]
Fox, Keith A. A. [2 ]
Goodman, Shaun G. [3 ,4 ]
Eagle, Kim A. [1 ]
Gurm, Hitinder S. [1 ]
机构
[1] Univ Michigan, Div Cardiovasc Med, Ann Arbor, MI 48109 USA
[2] Univ Edinburgh, Div Med & Radiol Sci, Edinburgh, Midlothian, Scotland
[3] Univ Toronto, St Michaels Hosp, Div Cardiol, Canadian Heart Res Ctr, Toronto, ON M5B 1W8, Canada
[4] Univ Toronto, St Michaels Hosp, Div Cardiol, Terrence Donnelly Heart Ctr, Toronto, ON M5B 1W8, Canada
来源
PLOS ONE | 2009年 / 4卷 / 11期
关键词
ELEVATION MYOCARDIAL-INFARCTION; ACUTE CORONARY SYNDROME; STRATIFICATION; THROMBOLYSIS; ASSOCIATION; MANAGEMENT; MORTALITY; REGISTRY; DEATH; TRIAL;
D O I
10.1371/journal.pone.0007947
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background: The Thrombolysis in Myocardial Infarction (TIMI) risk scores for Unstable Angina/Non-ST-elevation myocardial infarction (UA/NSTEMI) and ST-elevation myocardial infarction (STEMI) and the Global Registry of Acute Coronary Events (GRACE) risk scores for in-hospital and 6-month mortality are established tools for assessing risk in Acute Coronary Syndrome (ACS) patients. The objective of our study was to compare the discriminative abilities of the TIMI and GRACE risk scores in a broad-spectrum, unselected ACS population and to assess the relative contributions of model simplicity and model composition to any observed differences between the two scoring systems. Methodology/Principal Findings: ACS patients admitted to the University of Michigan between 1999 and 2005 were divided into UA/NSTEMI (n = 2753) and STEMI (n = 698) subpopulations. The predictive abilities of the TIMI and GRACE scores for in-hospital and 6-month mortality were assessed by calibration and discrimination. There were 137 in-hospital deaths (4%), and among the survivors, 234 (7.4%) died by 6 months post-discharge. In the UA/NSTEMI population, the GRACE risk scores demonstrated better discrimination than the TIMI UA/NSTEMI score for in-hospital (C = 0.85, 95% CI: 0.81-0.89, versus 0.54, 95% CI: 0.48-0.60; p, 0.01) and 6-month (C = 0.79, 95% CI: 0.76-0.83, versus 0.56, 95% CI: 0.52-0.60; p, 0.01) mortality. Among STEMI patients, the GRACE and TIMI STEMI scores demonstrated comparably excellent discrimination for in-hospital (C = 0.84, 95% CI: 0.78-0.90 versus 0.83, 95% CI: 0.78-0.89; p = 0.83) and 6-month (C = 0.72, 95% CI: 0.63-0.81, versus 0.71, 95% CI: 0.64-0.79; p = 0.79) mortality. An analysis of refitted multivariate models demonstrated a marked improvement in the discriminative power of the TIMI UA/NSTEMI model with the incorporation of heart failure and hemodynamic variables. Study limitations included unaccounted for confounders inherent to observational, single institution studies with moderate sample sizes. Conclusions/Significance: The GRACE scores provided superior discrimination as compared with the TIMI UA/NSTEMI score in predicting in-hospital and 6-month mortality in UA/NSTEMI patients, although the GRACE and TIMI STEMI scores performed equally well in STEMI patients. The observed discriminative deficit of the TIMI UA/NSTEMI score likely results from the omission of key risk factors rather than from the relative simplicity of the scoring system.
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