Utility of the Red Cell Distribution Width-to-Albumin Ratio in Predicting Short-Term Mortality in Acute Exacerbations of Chronic Obstructive Pulmonary Disease: A Prospective Observational Study
Background Acute exacerbation of chronic obstructive pulmonary disease (ECOPD) significantly contributes to intensive care unit (ICU) admissions and short-term mortality. The red cell distribution width-to-albumin ratio (RAR) has emerged as a potential biomarker for systemic inflammation and adverse outcomes. This study aimed to assess the diagnostic value of baseline RAR in predicting 28-day all-cause mortality in ICU-admitted patients with acute ECOPD. Methodology In a prospective, observational design, 83 consecutive patients admitted with moderate to severe ECOPD were enrolled. Baseline clinical data, laboratory parameters, and clinical severity scores were collected. Patients were followed up for 28 days. The primary outcome was 28-day all-cause mortality. Receiver operating characteristic (ROC) analysis was used to determine the baseline optimal RAR cut-off. Results A baseline RAR threshold of >5.43%dL/g showed excellent predictive performance for 28-day mortality (area under the receiver operating characteristic (AUROC): 0.979; sensitivity: 95.45%; specificity: 95.08%). Mortality was significantly higher in the high RAR group (87.5%) when compared to the low RAR group (1.69%) (<i>P</i> < 0.001). Kaplan-Meier survival analysis confirmed significantly improved survival in patients with lower RAR. On multivariate analysis, only baseline lactate (<i>P</i> = 0.011) and RAR (<i>P</i> = 0.008) independently predicted mortality. RAR had a poor predictive value for the failure of non-invasive ventilation. Conclusions Baseline RAR is a simple, accessible, and effective biomarker for predicting short-term mortality in ECOPD. Its integration into early ICU risk stratification protocols warrants further validation in larger, multi-center cohorts.
Authors
- Chowdhury Nilotpal
- Gaurav Jain
- Ankit Agarwal
- Vaishnavi Pandith
- Prakhar Sharma
- Sai Jeevan P.
- Mayuri Gupta
Institutions
- All India Institute of Medical Sciences Rishikesh (IN)
Publication Details
- Journal
- Cureus
- Published
- 2025-12-23
- DOI
- https://doi.org/10.7759/cureus.99928
- Primary Topic
- Inflammatory Biomarkers in Disease Prognosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00