Prognostic nomogram for predicting postoperative meningitis duration in skull base tumor surgery: a retrospective

Ruofei Yuan1, Hai Peng1, Ying Wang2

  • 11Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing; and.

Journal of Neurosurgery
|December 5, 2025
PubMed
Abstract

Insights

This study developed a nomogram to predict postoperative meningitis (PM) duration after skull base surgery. It identifies key factors to guide personalized treatment and antibiotic therapy for better patient outcomes.

Area of Science:

  • Neurosurgery
  • Infectious Diseases
  • Oncology

Background:

  • Postoperative meningitis (PM) is a serious complication after skull base tumor surgery, leading to longer hospital stays and increased patient morbidity.
  • Predicting the exact duration of PM is difficult, complicating treatment decisions and resource allocation.

Purpose of the Study:

  • To identify prognostic factors associated with the duration of postoperative meningitis (PM).
  • To develop and validate a predictive nomogram for estimating PM duration to guide individualized patient management and antibiotic strategies.

Main Methods:

  • Retrospective cohort study of 629 patients with PM following skull base tumor surgery.
  • Logistic regression analysis identified independent predictors of prolonged meningitis (> 7 and > 14 days).
  • Predictive nomograms were developed and validated using concordance indices, calibration curves, and decision curve analyses.

Main Results:

  • Fever duration, CSF/blood WBC counts, CSF glucose, blood neutrophilic granulocyte proportion, repeat operations, and surgical approach were significant predictors of prolonged PM.
  • The developed nomograms showed good predictive performance (Concordance Index 0.80 for 7-day, 0.79 for 14-day models).
  • Nomogram accuracy and clinical utility were confirmed through calibration and decision curve analyses.

Conclusions:

  • A validated prognostic nomogram can accurately predict PM duration after skull base tumor surgery.
  • This tool aids in individualized risk stratification and optimizing antibiotic therapy duration.
  • Further prospective studies are recommended to validate findings in diverse clinical settings.