ORIGINAL RESEARCH article

Front. Pharmacol.

Sec. Drugs Outcomes Research and Policies

Volume 16 - 2025 | doi: 10.3389/fphar.2025.1620858

Sedative Exposure and Mortality in Intracranial Hypertensive Tuberculous Meningitis: A Cohort Study with Propensity-Score Matching and Machine Learning Analysis

Provisionally accepted
Shijuan  CuiShijuan Cui1Fazheng  ShenFazheng Shen2Jianing  LiangJianing Liang3Fan  LiFan Li2Xiangyang  WangXiangyang Wang2Xin  LiuXin Liu4Haigang  ChangHaigang Chang2*
  • 1Department of Tuberculosis Internal Medicine, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
  • 2Department of Neurosurgery, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
  • 3Department of Neurosurgery, The First Affilicated Hospital of Changsha Medical University, Changsha, China
  • 4Department of Intensive Care Medicine, The First Affilicated Hospital of Changsha Medical University, Changsha, China

The final, formatted version of the article will be published soon.

Tuberculous meningitis (TBM) complicated by intracranial hypertension requires aggressive neurocritical care, yet the mortality impact of sedative and antipsychotic exposure remains controversial. This study investigates the association between sedative exposure and mortality while identifying modifiable risk factors in this vulnerable population.In this retrospective cohort study, we analyzed 1,875 intracranial hypertensive TBM patients from the MIMIC-IV database (v2.0). Exposure was stratified by cumulative sedative days (>3 vs. ≤ 3). Primary outcomes included 200-day mortality assessed using multivariable logistic regression and Cox proportional hazards models.Propensity score matching (PSM) was performed to adjust for confounding, and machine learning (XGBoost) was used to predict mortality and evaluate feature importance.Unadjusted analyses identified age (odds ratio [OR] = 1.03 per year; 95% confidence interval [CI]: 1.01-1.05), sedative duration (OR = 1.13 per day; 95%CI: 1.04-1.22), and hospital length of stay (LOS; OR = 1.02 per day; 95%CI: 1.00-1.03) as significant mortality predictors. In the PSM cohort (n = 160 matched pairs), crude mortality rates were 16% in sedated versus 2.6% in non-sedated patients (p<0.001), though the adjusted hazard ratio was non-significant (hazard ratio [HR] = 1.12; 95%CI: 0.83-1.50). Survival curves showed 200-day survival rates of 82% (95%CI: 79-85%) for non-sedated and 47% (95%CI: 39-55%) for sedated patients. The XGBoost model achieved an AUC-ROC of 0.79, identifying gender (SHAP value = 0.41), age (0.38), and LOS (0.29) as top predictors of mortality.Prolonged sedation (>3 days) is associated with substantially reduced survival in intracranial hypertensive TBM, potentially reflecting both underlying disease severity and iatrogenic effects. Although residual confounding remains, machine learning analysis highlights the critical influence of gender and LOS on outcomes. These findings demonstrate the need for randomized trials evaluating targeted sedation minimization strategies to improve neurotuberculosis care.

Keywords: Intracranial Hypertension, machine learning, Mortality, Sedative exposure, tuberculous meningitis

Received: 30 Apr 2025; Accepted: 23 Jun 2025.

Copyright: © 2025 Cui, Shen, Liang, Li, Wang, Liu and Chang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Haigang Chang, Department of Neurosurgery, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, China

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