Predicting Persistent Left Ventricular Dysfunction Following Myocardial Infarction The PREDICTS Study Article

Full Text via DOI: 10.1016/j.jacc.2015.12.042 PMID: 26965540 Web of Science: 000371398700009

Cited authors

  • Brooks, Gabriel C.; Lee, Byron K.; Rao, Rajni; Lin, Feng; Morin, Daniel P.; Zweibel, Steven L.; Buxton, Alfred E.; Pletcher, Mark J.; Vittinghoff, Eric; Olgin, Jeffrey E.


  • BACKGROUND Persistent severe left ventricular (LV) systolic dysfunction after myocardial infarction (MI) is associated with increased mortality and is a class I indication for implantation of a cardioverter-defibrillator.; OBJECTIVES This study developed models and assessed independent predictors of LV recovery to >35% and >= 50% after 90-day follow-up in patients presenting with acute MI and severe LV dysfunction.; METHODS Our multicenter prospective observational study enrolled participants with ejection fraction (EF) of <= 35% at the time of MI (n = 231). Predictors for EF recovery to >35% and >= 50% were identified after multivariate modeling and validated in a separate cohort (n = 236).; RESULTS In the PREDICTS (PREDiction of ICd Treatment Study) study, 43% of patients had persistent EF <= 35%, 31% had an EF of 36% to 49%, and 26% had an EF >= 50%. The model that best predicted recovery of EF to >35% included EF at presentation, length of stay, prior MI, lateral wall motion abnormality at presentation, and peak troponin. The model that best predicted recovery of EF to >= 50% included EF at presentation, peak troponin, prior MI, and presentation with ventricular fibrillation or cardiac arrest. After predictors were transformed into point scores, the lowest point scores predicted a 9% and 4% probability of EF recovery to >35% and >= 50%, respectively, whereas profiles with the highest point scores predicted an 87% and 49% probability of EF recovery to >35% and >= 50%, respectively.; CONCLUSIONS In patients with severe systolic dysfunction following acute MI with an EF <= 35%, 57% had EF recovery to >35%. A model using clinical variables present at the time of MI can help predict EF recovery. (C) 2016 by the American College of Cardiology Foundation.

Publication date

  • 2016

International Standard Serial Number (ISSN)

  • 0735-1097

Start page

  • 1186

End page

  • 1196


  • 67


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