Evidence map›Paper›PMID 42345002›Full record

ArticleJournal of inflammation research2026

Platelet-to-White Blood Cell Ratio as a Predictor of ICU Mortality in Septic Shock and Heart Failure: A Real-World Validation Study Using the MIMIC-eICU and a Chinese Cohort.

Qianfei Liu, Weihua Tang, Wei Tan, Ming Min, Xi Tan, Minghua Zhang, Peijun Liu

Abstract read
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Article in Journal of inflammation research, 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

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Qianfei Liu *Department of Pulmonary and Critical Care Medicine, The Central Hospital of Enshi Tujia and Miao Autonomous Prefecture, Enshi, Hubei, People's Republic of China.ORCID 0000-0002-4755-9755
Weihua Tang *Department of Radiology, The Central Hospital of Enshi Tujia and Miao Autonomous Prefecture, Enshi, Hubei, People's Republic of China.
Wei TanDepartment of Pulmonary and Critical Care Medicine, The Central Hospital of Enshi Tujia and Miao Autonomous Prefecture, Enshi, Hubei, People's Republic of China.
Ming MinDepartment of Pulmonary and Critical Care Medicine, The Central Hospital of Enshi Tujia and Miao Autonomous Prefecture, Enshi, Hubei, People's Republic of China.
Xi TanDepartment of Gastroenterology, The Central Hospital of Enshi Tujia and Miao Autonomous Prefecture, Enshi, Hubei, People's Republic of China.
Minghua Zhang *Department of Pulmonary and Critical Care Medicine, The Central Hospital of Enshi Tujia and Miao Autonomous Prefecture, Enshi, Hubei, People's Republic of China.
Peijun Liu *Department of Pulmonary and Critical Care Medicine, The Central Hospital of Enshi Tujia and Miao Autonomous Prefecture, Enshi, Hubei, People's Republic of China.ORCID 0000-0002-6290-2662

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The platelet-to-white blood cell ratio (PWR) has been associated with adverse outcomes in critically ill patients. Nonetheless, its prognostic significance in individuals with concurrent septic shock and heart failure remains insufficiently validated externally. This study sought to examine this association utilizing a large public database and to validate the findings in an independent real-world cohort. Methods: This retrospective cohort study included adult patients with septic shock and heart failure. The discovery cohort was derived from the MIMIC-IV and eICU databases. The validation cohort was retrospectively collected from The Central hospital of Enshi Tujia and Miao Autonomous Prefecture (August 2023-June 2025). The primary outcome was ICU mortality. Multivariable Cox regression, Kaplan-Meier analysis, and subgroup analyses were performed. Results: The study incorporated 934 patients in the discovery cohort and 124 patients in the validation cohort. In the discovery cohort, restricted cubic spline analysis demonstrated a linear relationship between platelet-to-white blood cell ratio (PWR) and mortality (nonlinearity Conclusion: A reduced platelet-to-white blood cell ratio serves as an independent predictor of elevated ICU mortality among patients experiencing septic shock and heart failure. This straightforward and cost-effective biomarker demonstrated a consistent association in an external real-world cohort, underscoring its potential utility for early risk stratification.

Indexed as

heart failureintensive care unitplatelet-to-white blood cell ratioprognostic predictionseptic shock

Identifiers

PMID42345002
PMCPMC13289780

What Socratic holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.