Evidence map›Paper›PMID 41809161›Full record

ArticleWorld journal of methodology2026

High red cell distribution width as a prognostic indicator in heart failure.

Sidhartha Gautam Senapati, Azra Kothawala, Vibhor Ahluwalia, Rupak Desai

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Article in World journal of methodology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Sidhartha Gautam SenapatiDepartment of Internal Medicine, Texas Tech University Health Sciences Center El Paso, El Paso, TX 79905, United States. senapati.sidhartha36@gmail.com.
Azra KothawalaDepartment of Medicine, Jawaharlal Nehru Medical College, Belgaum 590010, India.
Vibhor AhluwaliaDepartment of Internal Medicine, Nazareth Hospital, Philadelphia, PA 19152, United States.
Rupak DesaiOutcomes Research, Independent Researcher, Atlanta, GA 30079, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRed cell distribution width (RDW) measures the red blood cell size variation. Elevated RDW has been associated with various adverse health outcomes, including cardiovascular diseases.

aimTo analyze current evidence on the prognostic significance of high RDW in patients with heart failure (HF).

methodsA comprehensive literature search was conducted across multiple databases, including PubMed, EMBASE, and Google Scholar, up to May 2024. Studies were included if they investigated the relationship between RDW levels and outcomes in HF patients. Compared to those in the lowest quartile. The primary outcome was all-cause mortality. Compared to those in the lowest quartile. Heterogeneity was assessed using the

resultsSeven studies, including a total of 11460 HF patients, were analyzed. The participants' mean age varied between 60 years and 80 years, with 6562 (57.26%) in the lower quartile. Patients in the highest quartile of RDW (> 15.21%) had a significantly increased risk of all-cause mortality, with an odds ratio of 1.84 (95%CI: 1.31-2.57,

conclusionThis meta-analysis confirms that high RDW is a robust predictor of adverse outcomes in patients with HF, highlighting its potential utility as a simple, cost-effective biomarker for risk stratification. Future research should focus on elucidating the mechanisms underlying this association and exploring the potential benefits of RDW-guided therapeutic strategies in HF management.

Indexed as

All-cause mortalityHeart failureOdds ratioRed blood cell size variationRed cell distribution width

Identifiers

PMID41809161
PMCPMC12968752

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