The predictors of morbidities after cardiac surgery

Although there are many risk stratification models, but there is no widely applicable method for readily determining outcomes preoperatively. The main aim of this study was to identify the predictors of cardiac surgery morbidities. In a three- months period a prospective observational cohort study was conducted among 130 consecutive patients, who were admitted to the cardiac surgery ICU. Many variables were collected by data collecting sheets about demographic status, past medical history, physiologic parameters and cardiac anesthesia risk evaluation score (CARE score). Statistical tests like Pearson and Spearman correlation coefficients and two-way ANOVA were used (95% confidence interval (CI). A reliable correlation was found between morbidity and CARE score, age, number of previous cardiac surgery, Psychological disease, diabetes mellitus and hyperlipidemia (p<0/001, p<0/001, p<0/001, p<0/001, p=0/001, p=0/007). A largest number of patients were uncomplicated (35/4%) (range=0-4), only 7% of patients had 4 complications. CARE score, age, number of previous cardiac surgery, psychological disease, diabetes mellitus and hyperlipidemia were independent predictors associated with morbidities after cardiac surgery. We need further prospective multicenter studies to develop a useful predictor models.