1.Establishment and validation of a Nomogram predictionmodel for risk of multi-drug resistant infection after operation of cerebral hemorrhage
Hui CHEN ; Li ZHANG ; Chen LU ; Xindi CAI
Journal of Clinical Medicine in Practice 2024;28(8):45-49
Objective To investigate the risk factors for postoperative multi-drug resistant infection in patients with cerebral hemorrhage and establish a Nomogram prediction model. Methods Clinical materials of 241 patients with surgery for cerebral hemorrhage in the hospital from July 2020 to July 2023 were collected, and they were divided into infection group and non-infection group. Logistic regression models were used to analyze independent influencing factors for the occurrence of postoperative multi-drug resistant infection in patients with cerebral hemorrhage, and a Nomogram prediction model was constructed accordingly. The predictive performance of the Nomogram was evaluated by the consistency index (C-index), the receiver operating characteristic (ROC) curve, and the calibration curve. Results A total of 241 patients with cerebral hemorrhage were included in this study, among which 56 cases (24.24%) had postoperative multi-drug resistant infection. In the infection group, the preoperative Glasgow Coma Scale (GCS) score, ratio of preoperative vomiting, ratio of preoperative antibiotic treatment, ratio of gastric tube indwelling, ratio of tracheotomy, and ratio of intubation were significantly higher than those in the non-infection group (