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A novel nomogram for predicting non-infectious fever in patients following laparoscopic myomectomy

  • 0Department of Obstetrics & Gynecology, The Second Affiliated Hospital of Nanchang University, Nanchang, 330000, Jiangxi, China.
Scientific Reports +

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November 13, 2024

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November 13, 2024

View abstract on PubMed

Summary

This summary is machine-generated.

A new nomogram predicts non-infectious fever (NIF) risk after laparoscopic myomectomy. Key factors include leiomyoma size, hemoglobin, and blood loss, aiding early patient identification and management.

Area Of Science

  • Gynecology
  • Surgical Oncology
  • Clinical Prediction Models

Background

  • Non-infectious fever (NIF) is a common complication post-laparoscopic myomectomy.
  • Predictive tools for NIF risk stratification are currently lacking.
  • Accurate risk assessment is crucial for optimizing patient management and outcomes.

Purpose Of The Study

  • To develop and validate a novel nomogram for predicting postoperative NIF risk.
  • To identify independent risk factors associated with NIF following laparoscopic myomectomy.
  • To provide a clinical tool for early identification of high-risk patients.

Main Methods

  • Retrospective analysis of 576 patients undergoing laparoscopic myomectomy (2019-2023).
  • Multivariate logistic regression to identify independent risk factors for NIF.
  • Construction and internal validation of a predictive nomogram model.

Main Results

  • Postoperative NIF occurred in 11.1% (64/576) of patients.
  • Independent risk factors identified: leiomyoma size, number of leiomyomas, preoperative hemoglobin, operative time, and estimated blood loss.
  • The developed nomogram demonstrated good predictive accuracy upon internal validation.

Conclusions

  • The study successfully developed and validated the first nomogram for predicting NIF after laparoscopic myomectomy.
  • This tool can aid clinicians in identifying patients at high risk for NIF.
  • Early identification facilitates timely preventive and management strategies, potentially improving patient care.

Keywords:

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