Development and internal validation of a nomogram to predict perioperative hypothermia in patients undergoing laparoscopic gynecologic surgery under general anesthesia: a retrospective cohort study - Summary - MDSpire
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Development and internal validation of a nomogram to predict perioperative hypothermia in patients undergoing laparoscopic gynecologic surgery under general anesthesia: a retrospective cohort study
To develop and internally validate a nomogram for predicting perioperative hypothermia in patients undergoing laparoscopic gynecologic surgery under general anesthesia, thereby enhancing individualized patient care.
Key Findings:
279 out of 424 patients (65.8%) developed perioperative hypothermia.
The final model demonstrated good discrimination with an AUC of 0.788 (95% CI: X-Y) in the training cohort and 0.810 (95% CI: A-B) in the validation cohort.
At the training-derived Youden cutoff, sensitivity was 0.623 and specificity was 0.853 in the training cohort; sensitivity was 0.925 and specificity was 0.580 in the validation cohort.
Interpretation:
The nomogram effectively estimates the risk of perioperative hypothermia based on age, body mass index, and operative time in laparoscopic gynecologic surgery, potentially improving clinical outcomes.
Limitations:
The study is limited to a single center, which may affect the generalizability of the findings to broader populations.
External validation in independent cohorts is required before broader clinical implementation to confirm the model's applicability.
Conclusion:
A nomogram was developed to assist in estimating the risk of perioperative hypothermia in adult patients undergoing laparoscopic gynecologic surgery, potentially aiding in individualized temperature management.
