Cardiac Function-Specific  Risk Factors for One-Year Mortality in Patients Admitted with Acute Coronary Syndromes

Olga Perelstein Ilan Goldenberg Robert Klempfner Rafael Kuperstein
Leviev Heart Center,, Sheba Medical Center and Sackler Faculty of Medicine, Tel Aviv University, Ramat Gan
Background:  We aimed to evaluate the prognostic implications of left ventricular ejection fraction (LVEF) in patients admitted with acute coronary syndomes (ACS) in a contemporary real world setting, and to assess whether identification cardiac function-specific risk factors can be used to improve risk stratification in this population.

Methods: The present study comprised 8,974 patients enrolled in the Acute Coronary Syndrome Israeli Surveys (ACSIS) 2000-2010. Demographic, clinical, laboratorial and echocardiographic data of patients ware obtained from medical charts. Multivariate cox proportional hazards regression modeling was used to identify cardiac function-specific risk factors for 1-year mortality in cardiac function groups  defined as: severe LV dysfunction (<30%), mild to moderate LV dysfunction (30%-49%), and preserved LV function (≥50%).

Results:  Kaplan-Meier survival analysis showed that patients with severe LV dysfunction experienced very high mortality rates at 1-year of follow-up (36%) as compared with both patients with mild to moderate reductions and preserved LV function (10% and 4%, respectively; Fig 1) Multivariate analysis showed that among patients with preserved or mild to moderate reductions in LV function the presence of co-morbidities such as hypertension, diabetes and hyperlipidemia were independently associated with 1-year mortality. In contrast, among patients with severe LV dysfunction, admission factors  such as MI location, the presence of  ST-segment, and Killip Class were independently associated with 1-year mortality.

Conclusion: We have shown that among ACS patients treated in a contemporary real world setting, assessment of admission LVEF has important prognostic implications and can be used to improve risk stratification through identification of cardiac function-specific risk factors.  









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