Risk factors for postoperative pneumonia after cardiac surgery: a prediction model
Dashuai Wang, Xiaofan Huang, Hongfei Wang, Sheng Le, Yang Han, Feng Wang, Xinling Du
Abstract
BACKGROUND: Postoperative pneumonia is the main infectious complication following cardiac surgery and is associated with significant increases in morbidity, mortality and health care costs. The aim of this study was to identify potential risk factors related to the occurrence of postoperative pneumonia in adult patients undergoing cardiac surgery and to develop a predictive system. METHODS: Adult patients who underwent open heart surgery in our institution between 2016 and 2019 were enrolled in this study. Preoperative and intraoperative variables were collected and analyzed. A multivariate prediction model for evaluating the risk of postoperative pneumonia was established using logistic regression analysis via forward stepwise selection, and points were assigned to significant risk factors based on their regression coefficient values. RESULTS: =7.907, P value =0.443). A 32-point risk score was generated, and then three risk intervals were defined. CONCLUSIONS: We derived and validated a prediction model for postoperative pneumonia after cardiac surgery incorporating 13 easily discernible risk factors. The scoring system may be helpful for individualized risk estimations and clinical decision-making.