Abstract:ObjectiveTo understand the incidence of intraoperative hypothermia in children and explore its related factors. And to build and verify the prediction model of intraoperative hypothermia in children, and convert it into a visual nomogram. Methods Convenience sampling was used to select children who received surgical treatment in a children's hospital from January 1, 2019 to August 30, 2019. The R language statistical software was used to randomly select the modeling grouPand verification grouPaccording to the proportion of 70% and 30%. The data of the modeling grouPwere analyzed by multiple logistic regression, and the risk prediction model of intraoperative hypothermia was established. The nomogram was constructed according to the logistic regression equation and verified in the validation group. Results The clinical data of 1 085 children were collected. The incidence of hypothermia in children was 17.33%. Operation type, age, ASA grade and preoperative body temperature were independent influencing factors of intraoperative hypothermia in children (P<0.05, P<0.01). The area under the ROC curve for predicting the risk of intraoperative hypothermia in children was 0.670. The area under the ROC curve of the nomogram in verification grouPwas 0.689. The fitting test results of KS calibration curve showed that the model had high reliability, small variability and acceptable fitting degree. Conclusions Intraoperative hypothermia is a common adverse reaction in children. The nomogram can predict intraoperative hypothermia in children, and can provide a certain basis for the early prevention and control of intraoperative hypothermia in children.