Development and internal validation of a nomogram to predict perioperative hypothermia in patients undergoing laparoscopic gynecologic surgery under general anesthesia: a retrospective cohort study - Report - MDSpire
Advertisement
Development and internal validation of a nomogram to predict perioperative hypothermia in patients undergoing laparoscopic gynecologic surgery under general anesthesia: a retrospective cohort study
Clinical Report: Nomogram for Forecasting Perioperative Hypothermia
Overview
This study developed and validated a nomogram to predict perioperative hypothermia in patients undergoing laparoscopic gynecologic surgery under general anesthesia. The model demonstrated good discrimination and calibration, highlighting its potential utility in clinical practice.
Background
Perioperative hypothermia is a prevalent complication in laparoscopic gynecologic surgery, associated with adverse outcomes such as surgical site infections and prolonged hospital stays. Accurate prediction tools are essential for identifying at-risk patients and implementing preventive strategies. This study addresses the gap in individualized prediction methods for perioperative hypothermia.
Data Highlights
Parameter
Training Cohort (n=294)
Validation Cohort (n=130)
AUC
0.788 (95% CI, 0.732–0.843)
0.810 (95% CI, 0.727–0.893)
Sensitivity
0.623
0.925
Specificity
0.853
0.580
Key Findings
65.8% of patients developed perioperative hypothermia.
Key predictors included age, body mass index, and operative time.
The nomogram achieved an AUC of 0.788 in the training cohort and 0.810 in the validation cohort.
Bootstrap validation yielded an optimism-corrected AUC of 0.776.
At the Youden cutoff, the model's sensitivity and specificity varied between cohorts.
Clinical Implications
The nomogram can assist clinicians in identifying patients at high risk for perioperative hypothermia, enabling targeted interventions such as intensified temperature monitoring and active warming strategies. Its implementation may improve patient outcomes in laparoscopic gynecologic surgery.
Conclusion
The developed nomogram represents a promising tool for predicting perioperative hypothermia, warranting further external validation before widespread clinical adoption.
