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Background: Effective body temperature management is crucial for the favorable prognosis of patients undergoing surgery. The purpose of this study is to explore the risk factors of intraoperative hypothermia and to develop a risk prediction model to provide basis for clinical treatment. Methods: Patients who underwent laparoscopic surgery in a tertiary hospital in China from February 1, 2023 to January 31, 2024 were included. The body temperature characteristics of patients in hypothermia group and non-hypothermia group were collected and evaluated. Univariate and Logistic regression analysis were used to evaluate the influencing factors. Based on the regression coefficients of risk factors, a risk prediction model of hypothermia was established. The model was assessed by Hosmer's Lemeshow (H- L) test and receiver working characteristic (ROC) curve. Results: In 216 patients undergoing laparoscopic surgery, the incidence of hypothermia was 52.78 %. BMI≤23 kg/m2(OR = 2.061, 95%CI: 1.413–3.263), basal body temperature≤36.1 °C (OR = 3.715, 95%CI: 3.011–4.335), operating room temperature≤22 °C (OR = 2.481, 95%CI: 1.906–3.014), length of surgery≥120 min (OR = 2.228, 95%CI: 1.925–2.981) were the risk factors of hypothermia in patients undergoing laparoscopic surgery (all P |
