ArticleBalkan medical journal2025
Prognostic Significance of Red Blood Cell Distribution Width-to-Albumin Ratio in Predicting 1-Year Mortality for Critically Ill Chronic Obstructive Pulmonary Disease Patients.
Article in Balkan medical journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Establishment of a prediction model for hospital mortality in critically ill patients with chronic obstructive pulmonary disease.Journal of thoracic disease · 2026Article
- The association between the red blood cell distribution width-to-albumin ratio and female infertility: A cross-sectional study.Medicine · 2026Article
- A retrospective cohort study on the association between RAR and mortality in peritoneal Dialysis patients.BMC nephrology · 2026Article
- Article
- Inflammation and Albumin-Based Biomarkers Are Not Independently Associated with Mortality in Critically Ill COPD Patients: A Retrospective Study.Life (Basel, Switzerland) · 2025Article
- Association between red cell distribution width-to-albumin ratio and In-hospital mortality in patients with acute exacerbation of chronic obstructive pulmonary disease and respiratory failure: a retrospective cohort study.Biomarkers in medicine · 2025Article
Corrections and comments
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Authors and funding
6 authors.
Funding
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Abstract
Background: Chronic obstructive pulmonary disease (COPD) is a major global healthcare challenge. To address the gap in existing prognostic research, this study examined the possibility of the red blood cell distribution width-albumin ratio (RAR) as a viable biomarker for predicting COPD outcomes. Aims: To evaluate the relationship between RAR and the one-year mortality risk in COPD patients. Study Design: A retrospective cohort study. Methods: Participants were grouped based on their RAR levels. Multiple interpolations were used to address missing data. The effect of biomarkers on mortality was estimated using Kaplan-Meier survival curves and Cox risk regression models. Stratified analyses were conducted to assess the consistency of the RAR's predictive value for mortality across different subgroups. RAR was used to build a predictive model and the C-index and time-dependent receiver operating characteristic curves were used to evaluate the model's performance. Results: This study examined 2,379 patients, dividing them into three groups based on their RAR levels. According to Cox regression, RAR was correlated with the 1-year all-cause mortality of patients [model 3: HR = 1.24 (95% confidence interval 1.19-1.29) Conclusion: A significant association was found between RAR and the one-year mortality of COPD patients. This result implies that RAR may be an effective instrument for determining the prognosis in COPD patients.
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