Evidence map›Paper›PMID 42517032›Full record

ArticleFrontiers in medicine2026

Assessment of hemoglobin-to-red cell distribution width ratio to predict all-cause mortality in patients with sepsis: a retrospective cohort study from the MIMIC-IV database.

Zhiwei Su, Yin Wen, Wenhong Zhong, Hongguang Ding, Hongke Zeng

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Article in Frontiers in medicine, 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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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Zhiwei Su *Department of Critical Care Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, Guangdong, China.
Yin Wen *Department of Critical Care Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, Guangdong, China.
Wenhong Zhong *Department of Critical Care Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, Guangdong, China.
Hongguang DingDepartment of Emergency Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, Guangdong, China.
Hongke ZengDepartment of Critical Care Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Over the past few years, the Hemoglobin-to-Red Cell Distribution Width Ratio (HRR) has garnered attention as a potential indicator of inflammatory and nutritional status. This study seeks to explore the link between HRR and the prognosis of sepsis patients. Methods: Relying on the Medical Information Mart for Intensive Care IV (MIMIC-IV) database, this retrospective cohort study delved into the clinical data of sepsis patients. Through X-tile, patients were categorized into Low-score and High-score groups. Propensity score matching (PSM) analysis was leveraged to control for confounding factors. The main focus was the 28-day mortality of sepsis patients. Kaplan-Meier curves were used to compare survival probabilities across groups. The Cox proportional hazards model and Restricted Cubic Spline were applied to scrutinize the relationship between HRR and 28-day mortality. The predictive capacity of HRR was assessed via ROC curve analysis and subgroup analysis. Results: The study encompassed 28,812 sepsis patients, with 5,697 (19.77%) succumbing to death within 28 days. Post-PSM analysis, the high-score group exhibited a mortality rate of 20.23%, markedly lower than the low-score group's 25.72% ( Conclusion: There's a significant negative correlation between HRR and the 28-day mortality rate of sepsis patients, making HRR an independent prognostic factor. Integrating HRR into existing scoring models can boost predictive accuracy.

Indexed as

hemoglobin-to-red cell distribution width ratioMIMIC-IV databasemortalitypropensity score matchingsepsis

Identifiers

PMID42517032
PMCPMC13402431

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