Your new experience awaits. Try the new design now and help us make it even better

ORIGINAL RESEARCH article

Front. Med.

Sec. Infectious Diseases: Pathogenesis and Therapy

New models to predict survival of patients with difficult ventilator-weaning diagnosed with community-acquired pneumonia

Provisionally accepted
Shiauyee  ChenShiauyee Chen1Shu-Fen  LiaoShu-Fen Liao1Wan-Jung  ChangWan-Jung Chang1Kin-fai  HoKin-fai Ho2Shih-Hsin  HsiaoShih-Hsin Hsiao3Shu-Chuan  HoShu-Chuan Ho4*Jer-hwa  ChangJer-hwa Chang1*
  • 1Taipei Municipal Wan Fang Hospital, Taipei City, Taiwan
  • 2The Chinese University of Hong Kong, Hong Kong, Hong Kong, SAR China
  • 3Taipei Medical University Hospital, Taipei City, Taiwan
  • 4Taipei Medical University, Taipei City, Taiwan

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

•Background: High mortality is common in mechanically ventilated patients with severe community-acquired pneumonia (CAP). This study sought to create prediction models and determine factors for the pneumonia patients under difficult ventilator weaning in a respiratory care center. •Methods: In total, 353 CAP and hospital-acquired pneumonia (HAP) patients admitted to a respiratory care center (RCC) from January 1, 2015 to December 31, 2017 were included in this retrospective cohort study. Mortality and weaning risks factors were collected and analyzed for validating the prediction models. The study focuses primarily on CAP patients, with HAP data used to external validation. •Results: Among 270 CAP patients in model testing and validation, CURB-65 (Confusion, Uremia, Respiratory rate, Blood pressure, aged ≥ 65 years) and CUB-65 similarly predicted RCC survival (AUROCs ~65%). Three new RCC survival prediction models incorporated age ≥ 65, hypotension, BUN >19 mg/dL, ventilator type (replacing respiratory rate), and GCS ≤ 8 (replacing confusion), and either white blood cells (WBCs) or hemoglobin (Hb) were additionally included in model 1 or model 2. In CAP test samples, AUROCs with CAP test sample were 77.51% (model 1), 75.99% (model 2), and 77.97% (model 3). All three new models showed higher AUROCs than CURB-65, with significantly improved predictability in models 1 (p=0.0354) and 3 (p=0.0383). All three models demonstrated satisfactory performance (AUROC ≥ 80%) for predicting RCC survival in the CAP validation sample. •Conclusions: These new models more accurately predicted survival during RCC admission. Furthermore, they offer clinicians a better predictive tool for survival in CAP patients facing difficult ventilator weaning.

Keywords: Community-acquired pneumonia, difficult weaning, respiratory failure, Survival, predictive model, respiratory care center, CURB-65 score, pneumonia severity index (PSI).

Received: 21 Jul 2025; Accepted: 12 Dec 2025.

Copyright: © 2025 Chen, Liao, Chang, Ho, Hsiao, Ho 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:
Shu-Chuan Ho
Jer-hwa Chang

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.