Objective: To explore the influencing factors of intraoperative hyperglycemia in patients undergoing hysterectomy and construct a prediction model. Methods: A prospective study was conducted on 220 patients who underwent hysterectomy from February 2021 to October 2024. According to whether intraoperative hyperglycemia occurred, patients were divided into hyperglycemia group and normal glucose group. General demographic data, disease history, laboratory indicators, and perioperative indicators were collected and compared between the two groups. Multivariate Logistic regression model was used to explore the independent influencing factors of intraoperative hyperglycemia in patients undergoing hysterectomy. A nomogram prediction model was established to explore the model's discrimination, goodness of fit, calibration, and internal validation consistency. Results: The incidence of intraoperative hyperglycemia was 20.91% among 220 patients undergoing hysterectomy. Using stepwise backward elimination to screen variables, multivariate Logistic regression analysis showed that anesthesia duration ≥3 h(OR=2.787, 95%CI 1.305-5.950), preoperative C-reactive protein/albumin ≥0.17(OR=2.409, 95%CI 1.119-5.186), and high preoperative arterial blood glucose(OR=12.308, 95%CI 4.296-35.264) were all independent risk factors for intraoperative hyperglycemia in patients undergoing hysterectomy(P<0.05). The receiver operating characteristic(ROC) curve showed that the area under the curve(AUC) of this model for predicting intraoperative hyperglycemia in patients undergoing hysterectomy was 0.786(95%CI 0.715-0.856), predictive sensitivity of 80.43%, and specificity of 64.94%. The calibration curve showed that the model had a mean absolute error of 0.016. The Hosmer-Lemeshow test(H-L) showed no overfitting in the model(χ2=6.543, P=0.587). Bootstrap internal validation revealed a C-index of 0.789, demonstrating high consistency in validation results. Conclusion: The incidence of intraoperative hyperglycemia in patients undergoing hysterectomy is relatively high. Anesthesia duration, preoperative CRP/ALB, and preoperative arterial blood glucose are all influencing factors. Clinical preventive measures can be taken accordingly. |
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