AI Summary & Key Takeaways
AI InsightConclusion: The APACHE II model can be used to predict mortality in a Turkish population of patients who have undergone cardiac surgery.
📌 3 Key Takeaways
Özet
Objective: The Acute Physiology and Chronic Health Evaluation (APACHE) severity of disease classification system, which is one of the most widely used scoring systems to predict mortality, is used for intensive care units (ICU) patients. This study aimed to evaluate the predictive ability of APACHE II for mortality in patients after undergoing cardiac surgery. We studied if APACHE II could successfully predict the outcome in post-cardiac surgery patients. Methods: This study involved retrospective data collection of all adult patients who were admitted to Ordu State Hospital cardiovascular surgery ICU following cardiac surgery from August 2013 to December 2015. Area under the receiver operating characteristic (ROC) curve (AUC) values were calculated for the APACHE II model. Results: During the two years of data collection, we included 600 patients with a mean age of 64.77±10.148 years. Of these, 180 (30.0%) were females. The ICU mortality rate was 8.33%, and the mean length of ICU stay was 4.210±6.913 days. The mean pre-operative EuroSCORE was 3.890±2.565, and the mean pre-operative APACHE II score was 6.790±3.617. The AUC values for APACHE II and EuroSCORE were 0.743 and 0.767, respectively. Conclusion: The APACHE II model can be used to predict mortality in a Turkish population of patients who have undergone cardiac surgery.