Risk Factor Analysis and Risk Model Construction of Postoperative Infection in Patients with Maxillofacial Fractures
Objective:To analyze the risk factors for postoperative infection in patients with maxillofacial fractures and construct a risk prediction model.Methods:From January 2022 to January 2024,81 patients with oral and max-illofacial fractures who developed infection after surgical treatment at Xuzhou Medical University Affiliated Hospital were selected as the research subjects.Meanwhile,70 patients with oral and maxillofacial fractures who did not develop infection after surgery at the same hospital during the same period were selected as the control group.Clini-cal data of patients were retrospectively collected and multiple logistic regression analysis was performed to screen for independent risk factors.A risk prediction model was constructed and its predictive value was evaluated.Results:The study found that operation duration ≥3 h,diabetes,and the number of titanium nails ≥20 were inde-pendent risk factors for postoperative infection of maxillofacial fractures(P＜0.05).According to the selected inde-pendent risk factors,a prediction model for postoperative infection risk of patients with maxillofacial fractures was constructed:Logit(P)=-0.747+operation duration ×1.730+diabetes × 1.789+number of titanium nails X 1.078.Hosmer-Lemeshow good of fit test showed that the fitting accuracy of the model was good(X2=2.015,P=0.365).The calibration curve showed that the prediction probability was close to the actual probability,indicating that the model had a good calibration degree.The receiver operating characteristic(ROC)curve indicated that the area under the curve(AUC)of the predictive model was 0.728,suggesting that the model possessed moderate dis-criminative capacity.Decision curve analysis(DCA)revealed that within the horizontal axis range of 0.3-0.8 the predictive model's curve lay above the two extreme curves,suggesting that the model's clinical utility was acceptable.Conclusion:Postoperative infection in patients with maxillo-facial fractures is related to the operation duration,diabetes,and the number of titanium nails.The risk prediction model based on it has certain diagnostic value.
maxillofacial fracturespostoperative infectionrisk factorsprediction modeldiagnostic value
万方数据
维普
