Development and internal validation of a nomogram to predict perioperative hypothermia in patients undergoing laparoscopic gynecologic surgery under general anesthesia: a retrospective cohort study - Takeaways - MDSpire

Development and internal validation of a nomogram to predict perioperative hypothermia in patients undergoing laparoscopic gynecologic surgery under general anesthesia: a retrospective cohort study

  • By

  • Yingbo Ren

  • Lei Huang

  • Ling Chen

  • Feng Liu

  • Lihong Song

  • Qingyuan Li

  • Xin Wang

  • Hongyan Li

  • June 10, 2026

  • 0 min

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  • 1

    Perioperative hypothermia is a common complication in laparoscopic gynecologic surgery, affecting 65.8% of patients in this study.

  • 2

    A nomogram was developed using age, body mass index, and operative time to predict the risk of perioperative hypothermia.

  • 3

    The prediction model demonstrated good discrimination with an AUC of 0.788 in the training cohort and 0.810 in the validation cohort.

  • 4

    The model's sensitivity and specificity varied between cohorts, achieving 0.623 sensitivity and 0.853 specificity in training.

  • 5

    External validation in independent cohorts is necessary before the nomogram can be implemented in broader clinical practice.

Original Source(s)

Development and internal validation of a nomogram to predict perioperative hypothermia in patients undergoing laparoscopic gynecologic surgery under general anesthesia: a retrospective cohort study

  • by Yingbo Ren, Lei Huang, Ling Chen, Feng Liu, Lihong Song, Qingyuan Li, Xin Wang, Hongyan Li

  • June 10, 2026

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