BACKGROUND: Several scores, most of which were derived from clinical trials, have been proposed for stratifying risk after myocardial infarctions (MIs). Little is known about their generalizability to the community, their respective advantages, and whether the ejection fraction (EF) adds prognostic information to the scores. The purpose of this study is to evaluate the Thrombolysis in Myocardial Infarction (TIMI) and Predicting Risk of Death in Cardiac Disease Tool (PREDICT) scores in a geographically defined MI cohort and determine the incremental value of EF for risk stratification. METHODS AND RESULTS: MIs occurring in Olmsted County were validated with the use of standardized criteria and stratified with the ECG into ST-segment elevation (STEMI) and non-ST-segment elevation (NSTEMI) MI. Logistic regression examined the discriminant accuracy of the TIMI and PREDICT scores to predict death and recurrent MI and assessed the incremental value of the EF. After 6.3+/-4.7 years, survival was similar for the 562 STEMIs and 717 NSTEMIs. The discriminant accuracy of the TIMI score was good in STEMI but only fair in NSTEMI. Across time and end points, irrespective of reperfusion therapy, the discriminant accuracy of the PREDICT score was consistently superior to that of the TIMI scores, largely because PREDICT includes comorbidity; EF provided incremental information over that provided by the scores and comorbidity. CONCLUSION: In the community, comorbidity and EF convey important prognostic information and should be included in approaches for stratifying risk after MI.
BACKGROUND: Several scores, most of which were derived from clinical trials, have been proposed for stratifying risk after myocardial infarctions (MIs). Little is known about their generalizability to the community, their respective advantages, and whether the ejection fraction (EF) adds prognostic information to the scores. The purpose of this study is to evaluate the Thrombolysis in Myocardial Infarction (TIMI) and Predicting Risk of Death in Cardiac Disease Tool (PREDICT) scores in a geographically defined MI cohort and determine the incremental value of EF for risk stratification. METHODS AND RESULTS: MIs occurring in Olmsted County were validated with the use of standardized criteria and stratified with the ECG into ST-segment elevation (STEMI) and non-ST-segment elevation (NSTEMI) MI. Logistic regression examined the discriminant accuracy of the TIMI and PREDICT scores to predict death and recurrent MI and assessed the incremental value of the EF. After 6.3+/-4.7 years, survival was similar for the 562 STEMIs and 717 NSTEMIs. The discriminant accuracy of the TIMI score was good in STEMI but only fair in NSTEMI. Across time and end points, irrespective of reperfusion therapy, the discriminant accuracy of the PREDICT score was consistently superior to that of the TIMI scores, largely because PREDICT includes comorbidity; EF provided incremental information over that provided by the scores and comorbidity. CONCLUSION: In the community, comorbidity and EF convey important prognostic information and should be included in approaches for stratifying risk after MI.
Authors: Spyridon Liosis; Timm Bauer; Rudolf Schiele; Helmut Gohlke; Martin Gottwik; Hugo Katus; Georg Sabin; Ralf Zahn; Steffen Schneider; Bernhard Rauch; Jochen Senges; Uwe Zeymer Journal: Clin Res Cardiol Date: 2013-06-06 Impact factor: 5.460
Authors: S Michael Gharacholou; Veronique L Roger; Ryan J Lennon; Charanjit S Rihal; Jeff A Sloan; John A Spertus; Mandeep Singh Journal: Am J Cardiol Date: 2012-03-20 Impact factor: 2.778
Authors: Mandeep Singh; Charanjit S Rihal; Ryan J Lennon; John A Spertus; K Sreekumaran Nair; Veronique L Roger Journal: Circ Cardiovasc Qual Outcomes Date: 2011-08-30
Authors: Kristian Kragholm; Sarah A Goldstein; Qinghong Yang; Renato D Lopes; Phillip J Schulte; Gwen M Bernacki; Harvey D White; Kenneth W Mahaffey; Robert P Giugliano; Paul W Armstrong; Robert A Harrington; Pierluigi Tricoci; Frans Van de Werf; John H Alexander; Karen P Alexander; L Kristin Newby Journal: Circulation Date: 2016-03-08 Impact factor: 29.690
Authors: Mandeep Singh; Karen Alexander; Veronique L Roger; Charanjit S Rihal; Heather E Whitson; Amir Lerman; Arschad Jahangir; K Sreekumaran Nair Journal: Mayo Clin Proc Date: 2008-10 Impact factor: 7.616
Authors: Krishna G Aragam; Umesh U Tamhane; Eva Kline-Rogers; Jin Li; Keith A A Fox; Shaun G Goodman; Kim A Eagle; Hitinder S Gurm Journal: PLoS One Date: 2009-11-23 Impact factor: 3.240