The Predictive Value of Preoperative Fasting Blood Glucose Variability for Postoperative Infection in Orthopedic Patients

Abstract Background To explore the predictive value of preoperative fasting blood glucose variability for postoperative infections in orthopedic patients. Methods A retrospective study was conducted to collect the medical records of 310 patients with type 2 diabetes who were hospitalized in the orthopaedics department of Fuzhou Second General Hospital from January 2022 to November 2023 by using the hospital electronic medical record system. According to whether there was postoperative infection, they were divided into two groups: no postoperative infection group (n = 227) and postoperative infection group (n = 83). The researchers designed a basic information scale to collect general patient information and fasting blood glucose (FPG) indicators from admission to surgery. Based on at least three fasting blood glucose values, FPG variability indicators were calculated, including standard deviation of fasting blood glucose (FPG-SD), coefficient of variation of fasting blood glucose(FPG-CV), and mean true variation of fasting blood glucose (FPG-ARV). Using univariate and multivariate logistic binary regression analysis to determine the independent risk factors for postoperative infection, analyzing the correlation between FPG-SD, FPG-CV, FPG-ARV and postoperative infection through point binary correlation studies, drawing receiver operating characteristic (ROC) curves, and calculating the area under the curve (AUC) to evaluate FPG-SD, FPG-CV The value of FPG-ARV alone and in combination in predicting postoperative infections in orthopedic patients. Results FPG-SD, FPG-CV, and FPG-ARV were all independent risk factors for postoperative infection in orthopedic patients (P < 0.05); According to point two column correlation analysis, FPG-SD, FPG-CV, FPG-ARV are positively correlated with the occurrence of postoperative infections in orthopedic patients (r > 0, P < 0.05); Draw ROC curves, and the