Jurnal Ilmu Medis Indonesia
Vol 5 No 2 (2026): Maret

Red Cell Distribution Width Predicts 30-Day Disability in Acute Ischemic Stroke

Kevin Aldenio Hatma Krista (Universitas Kristen Duta Wacana, Yogyakarta, Indonesia)
Rizaldy Taslim Pinzon (Universitas Kristen Duta Wacana, Yogyakarta, Indonesia)
Saverina Nungky Dian Hapsari (Universitas Kristen Duta Wacana, Yogyakarta, Indonesia)



Article Info

Publish Date
16 Mar 2026

Abstract

Purpose: We assessed Red Cell Distribution Width (RDW) levels at hospital admission and determined whether RDW could serve as a predictor of disability prognosis in patients with acute ischemic stroke. Research Methodology: A retrospective cohort study was conducted using data from the stroke registry at Bethesda Hospital, Yogyakarta. RDW levels were measured upon hospital admission. Functional disability at 30 days post-stroke was evaluated using the modified Rankin Scale and analyzed statistically. Results: Elevated RDW levels were observed in 20.8% of patients. Receiver operating characteristic analysis identified an optimal RDW cutoff value of 14.15%, with an area under the curve of 0.689 (p=0.009). At 30 days after stroke onset, 20% of patients had poor functional outcomes. Bivariate analysis demonstrated a significant association between high RDW levels and poor disability outcomes (p=0.001; OR=14.333). Multivariate logistic regression analysis confirmed that elevated RDW was an independent predictor of 30-day post-stroke disability (OR=4.287; 95% CI: 2.036–9.029; p<0.001). Conclusions: Elevated RDW at admission is significantly associated with poorer functional outcomes in patients with acute ischemic stroke and may serve as a useful prognostic biomarker. Limitations: This study relied on secondary data, limiting control over patient conditions and measurement quality. The study population predominantly included mild-to-moderate stroke cases, and potential confounding factors, such as comorbidities, were not evaluated. Contributions: These findings may enhance prognostic accuracy and support the development of clinical tools for predicting post-stroke disability.

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Journal Info

Abbrev

jimi

Publisher

Subject

Biochemistry, Genetics & Molecular Biology Health Professions Immunology & microbiology Medicine & Pharmacology Public Health

Description

Published by Penerbit Goodwood, Jurnal Ilmu Medis Indonesia (JIMI) is a peer-reviewed scholarly journal that publishes articles in the field of medical sciences in Indonesia. JIMI welcomes researchers, academicians, as well as practitioners to submit well-written manuscripts discussing contempory ...