Constructing a Risk Prediction Model for Intraoperative Hypothermia in Children Under General Anesthesia

Launched by HARBIN MEDICAL UNIVERSITY · Mar 22, 2025

Keywords

ClinConnect Summary

The study first clarified the overall incidence and influencing factors of IOH in children through meta-analysis, combined with expert consultation to determine potential predictive variables, and developed a data questionnaire for this study. The second part of the study will collect data prospectively, use four algorithms in machine learning, including logistic regression, decision tree, random forest, and support vector machine, to build an excellent intraoperative hypothermia risk prediction model, and conduct internal verification of the model. The third part of the study prospectively...

Gender

ALL

Eligibility criteria

• Inclusion Criteria:
• • Age \< 16 years old;
• • Anesthesia includes general anesthesia;
• • Anesthesia duration \> 30 minutes.
• Exclusion Criteria:
• • Cardiac surgery or other procedures that require lowering the child's body temperature;
• • Refusing to participate in this study;
• • ASA grade \>Ⅳ;
• • Abnormal basal body temperature, preoperative core body temperature \<36.0℃ or \>38.0℃;
• • Hyperthyroidism or hypothyroidism and other diseases that affect body temperature;
• • The core body temperature cannot be measured due to surgery or ear canal disease.