Predictors of post-stroke fever and infections: a systematic review and meta-analysis

Maja Wästfelt1, Yang Cao2,3, Jakob O Ström4,5

  • 1Department of Neurology, School of Medical Sciences, Örebro University, Örebro, Sweden. maja.wastfelt@regionorebrolan.se.

BMC Neurology
|April 25, 2018
PubMed
Abstract

Insights

Fever after stroke is common. Predictors for post-stroke pneumonia include age, male sex, and NIHSS score. Further research is needed for urinary tract infection and all-cause fever predictors.

Area of Science:

  • Neurology
  • Infectious Diseases
  • Critical Care Medicine

Background:

  • Fever is a frequent complication following stroke, often stemming from infections.
  • Distinguishing predictors for pneumonia, urinary tract infection (UTI), and all-cause fever is crucial due to differing etiologies.

Purpose of the Study:

  • To identify and compare the predicting factors for post-stroke pneumonia, UTI, and all-cause fever.
  • To test the hypothesis that these fever types have distinct predictors.

Main Methods:

  • Systematic literature search of PubMed for studies on post-stroke fever predictors.
  • Manual assessment of 5294 articles by title, abstract, and full text.
  • Meta-analysis of variables reported in at least three studies using a random effects model.

Main Results:

  • Fifty-nine articles met inclusion criteria.
  • Post-stroke pneumonia predictors identified: age, male sex, NIHSS, dysphagia, nasogastric tube, diabetes, mechanical ventilation, smoking, COPD, and atrial fibrillation.
  • Urinary tract infection (UTI) appears more common in women, suggesting a potential sex-based difference in predictors.

Conclusions:

  • Significant predictors for post-stroke pneumonia were identified.
  • Limited research exists on predictors for UTI and all-cause fever post-stroke.
  • Future research should focus on a broader range of predictors to enhance understanding, monitoring, and prevention of post-stroke fever complications.

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