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A novel prediction method for intracerebral hemorrhage-associated pneumonia: A single center analysis

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  • Ya-ming Li
  • Yue Chen
  • Mei-fen Yao
  • Guo-jiang Wang
  • Yi-ni Pan
  • Hui Chen
  • Jian-hua Xu

Abstract

Stroke-associated pneumonia (SAP) is a common complication leading to death and disability after a stroke. Currently, more studies tend to focus on stroke-associated pneumonia in patients with ischemic stroke, while there are few studies on predictors of intracerebral hemorrhage-associated pneumonia (ICHAP). It is necessary to discover new predictors to build more accurate prediction models for ICHAP. We continuously collected 498 patients with acute intracerebral hemorrhage and then divided them into ICHAP and non-ICHAP groups. Then we conducted univariate analyses and multivariate regression analyses on the collected data. Afterward, the new predictors of ICHAP were found and the predictive model was designed. Of the 498 patients, 158 were diagnosed with ICHAP. Advanced age (odds ratio = 1.031; 95% confidence interval, 1.015–1.047; P

Suggested Citation

  • Ya-ming Li & Yue Chen & Mei-fen Yao & Guo-jiang Wang & Yi-ni Pan & Hui Chen & Jian-hua Xu, 2025. "A novel prediction method for intracerebral hemorrhage-associated pneumonia: A single center analysis," PLOS ONE, Public Library of Science, vol. 20(2), pages 1-13, February.
    • Handle: RePEc:plo:pone00:0318455
    DOI: 10.1371/journal.pone.0318455
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