SynthesisMedicine2025
Predictive value of red blood cell distribution width in critically ill patients with acute respiratory distress syndrome: A meta-analysis.
Synthesis in Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Factors associated with postoperative respiratory failure in hospitalized patients with thoracolumbar fractures: a retrospective cross-sectional study based on the MIMIC-IV database.Journal of thoracic disease · 2026Article
- Salivary and tonsillar microbiota across multiple sites in paediatric tonsillar hypertrophy and their associations with clinical factors.Journal of oral microbiology · 2025Article
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Authors and funding
8 authors.
Funding
Abstract
backgroundCritically ill patients with acute respiratory distress syndrome (ARDS) are one of the leading causes of death worldwide. Although a number of relevant predictors of ARDS have been identified, the current predictors are not satisfactory. Recent studies have revealed the predictive value of red blood cell distribution width (RDW) for ARDS. Therefore, we conducted the first meta-analysis to explore the predictive value of RDW in critically ill patients with ARDS.
methodsA literature search was conducted to identify relevant observational studies from January 1, 2000, to August 1, 2024. Eligible studies were screened and data were extracted. The standardized mean difference (SMD) with 95% confidence interval (CI) of the RDW levels for each study were combined under the random-effect model.
resultsTen articles with a total of 2252 participants were included in the study. Elevated RDW levels on admission was significantly associated with significantly associated with an increased risk of ARDS morbidity (SMD = 1.09; 95% CI = 0.35-1.82; P = .004), and also significantly associated with an increased risk of ARDS mortality (SMD = 0.73; 95% CI = 0.53-0.93; P < .00001). Subgroup analysis further showed RDW ≥ 14.0 on admission could be regarded as a predictive morbidity factor for ARDS (SMD = 1.36; 95% CI = 0.66-2.07; P = .0002), and RDW ≥ 15.5 on admission could be also regarded as a predictive mortality factor for ARDS (SMD = 0.73; 95% CI = 0.49-0.97; P < .00001).
conclusionRDW levels seems to be a useful tool for predicting the morbidity and mortality of critically ill patients with ARDS.
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