Article ID Journal Published Year Pages File Type
5930130 The American Journal of Cardiology 2015 7 Pages PDF
Abstract

Few simple and effective tools are available for determining the prognosis of 30-day survivors after acute myocardial infarction. We aimed to assess whether the simple age, creatinine, and ejection fraction (ACEF) score could predict 1-year mortality of 12,000 post-myocardial infarction 30-day survivors who underwent percutaneous coronary intervention. The ACEF score was computed as follows: (age/ejection fraction) + 1, if the serum creatinine was >2 mg/dl. Accuracy was defined through receiver-operating characteristics analysis and area under the curve (AUC) evaluation. Twelve risk factors were selected and ranked according to their AUC value. Age, ejection fraction, and serum creatinine levels indicated the best AUC value. The ACEF score was significantly higher in the nonsurvivors (1.95 ± 0.82 vs 1.28 ± 0.50; p <0.001) and was an independent predictor of 1-year mortality (adjusted hazard ratio 2.26; p <0.001). The best accuracy was achieved by a prediction model including 12 risk factors (AUC = 0.80), but this did not significantly differ compared with the AUC (0.79) of the ACEF score (p = ns). Adjusted hazard ratios for 1-year mortality were 1 (reference), 3.11 (p <0.001), and 10.38 (p <0.001) for the ACEFLOW (ACEF score <1.0), ACEFMID (ACEF score 1.0 to 1.39), and ACEFHIGH (ACEF score ≥1.4) groups, respectively. The ACEF score may be a novel valid model to stratify the 1-year mortality risk in 30-day survivors who underwent percutaneous coronary intervention after acute myocardial infarction.

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