Risk factors of intraoperative hypothermia in patients undergoing radical thyroidectomy under laparoscopy and the construction of nomogram model

Objective To analyze the risk factors of intraoperative hypothermia in patients undergoing radical thyroidectomy under laparoscopy and to construct a nomogram prediction model.

Methods A total of 336 patients who underwent laparoscopic radical thyroidectomy were selected as study subjects. According to intraoperative body temperature, they were divided into hypothermia group (195 cases) and normal temperature group (141 cases). The risk factors of intraoperative hypothermia in patients undergoing laparoscopic radical thyroidectomy were analyzed using the Logistic regression model. The nomogram prediction model was constructed using R software. The prediction performance of the nomogram prediction model was evaluated using the receiver operating characteristic (ROC) curve, calibration curve, and Hosmer-Lemeshow goodness-of-fit test.

Results There were significant differences in age, intraoperative blood loss, amount of fluid infusion, and operation time between the two groups (P < 0.05). Multivariate Logistic regression analysis showed that age>60 years, intraoperative blood loss >60 mL, amount of fluid infusion>1 000 mL, and operation time>2.5 h were risk factors for intraoperative hypothermia in patients undergoing laparoscopic radical thyroidectomy (P < 0.05). A nomogram prediction model was constructed based on the four risk factors. The ROC curve showed that the area under the curve was 0.912 (95%CI, 0.884 to 0.941). The calibration curve and Hosmer-Lemeshow goodness-of-fit test showed that the slope of the calibration curve was close to 1 (χ²=9.140, P=0.243).

Conclusion The nomogram prediction model based on age, intraoperative blood loss, amount of fluid infusion, and operation time has good predictive value for intraoperative hypothermia in patients undergoing laparoscopic radical thyroidectomy.