Paper Title

Red Cell Distribution Width in Predicting Severity of COPD: A Cross-Sectional Study at a Tertiary Care Centre.

Authors

Dr. Mohammed Sameer Kundale , Dr. Pragati Rao D , Dr. Sruthy Vijayan , Dr. Nirantha S P , Dr. Shashidhar S Vananjakar

Keywords

COPD, Spirometry, GOLD, RDW, CAT score

Abstract

Background: COPD is a chronic inflammatory disease with persistent airflow limitation. GOLD guidelines use post-bronchodilator FEV1 for severity assessment, but spirometry can be challenging during exacerbations. Red Cell Distribution Width (RDW) may serve as a simple biomarker for COPD severity. Objectives: 1. Assess RDW’s role in predicting COPD severity. 2. Correlate RDW with COPD Assessment Test (CAT) scores. Methodology: This cross-sectional study (August 2022–July 2024) at Ramaiah Hospitals included COPD patients meeting specific criteria. Spirometry, complete blood counts, and CAT scores were analyzed. GOLD staging classified severity. Statistical analysis used ANOVA and Pearson correlation (p < 0.05 significant). Results: Among 80 COPD patients (91.3% male, 75% aged 61–80), common symptoms included cough (77.5%) and breathlessness (73.8%). Smoking (73.8%), occupational (10%), and biomass (11.3%) exposures were noted. RDW values increased with GOLD stage progression and correlated positively with CAT scores (r = 0.250, p = 0.027) and negatively with FEV1 (r = -0.517, p < 0.001). Conclusion: RDW correlates with COPD severity, positively with CAT scores and negatively with FEV1, highlighting its potential as a non-invasive ,novel biomarker for disease assessment and management.

How To Cite

"Red Cell Distribution Width in Predicting Severity of COPD: A Cross-Sectional Study at a Tertiary Care Centre.", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.10, Issue 3, page no.a308-a315, March-2025, Available :https://ijsdr.org/papers/IJSDR2503035.pdf

Issue

Volume 10 Issue 3, March-2025

Pages : a308-a315

Other Publication Details

Paper Reg. ID: IJSDR_300820

Published Paper Id: IJSDR2503035

Downloads: 000197

Research Area: Humanities All

Country: Bangalore, KARNATAKA, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2503035

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2503035

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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