Evidence map›Paper›PMID 41098681›Full record

ArticleJournal of inflammation research2025

Combined Biomarker Panel of Presepsin, HE4, and Oxygenation Index for Sepsis Diagnosis and Prognosis in Intensive Care Unit Patients.

Jinmei Luo, Shu An, Xuanren Liao, Juehui Wu, Laisheng Li

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Article in Journal of inflammation research, 2025. 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

5 authors.

Jinmei Luo *Department of Medical Intensive Care Unit, the Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510630, People's Republic of China.
Shu An *Department of Laboratory Medicine, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510080, People's Republic of China.
Xuanren Liao *Department of Laboratory Medicine, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510080, People's Republic of China.
Juehui WuDepartment of Laboratory Medicine, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510080, People's Republic of China.
Laisheng LiDepartment of Laboratory Medicine, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510080, People's Republic of China.ORCID 0000-0001-9336-8397

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sepsis remains a lethal global health crisis with persistently high mortality, exacerbated by diagnostic challenges stemming from its heterogeneous clinical presentation and limitations of current diagnostic tools like SOFA score. While biomarkers such as Presepsin or human epididymis protein 4 (HE4) show promise, single-marker approaches exhibit insufficient accuracy for reliable early detection and prognosis. Objective: We evaluated the diagnostic and prognostic utility of Presepsin, HE4, Oxygenation Index (OI), and their combined panel (PHO) in critically ill patients with or without sepsis. Methods: This single-center study analyzed 411 ICU patients (165 non-sepsis, 246 sepsis or septic shock). Clinical parameters-including SOFA, and OI-alongside laboratory parameters (hematological indices, hepatic/renal function markers, inflammatory biomarkers, blood culture results) were extracted from the hospital's Laboratory Information System. Residual admission samples were used to quantify Presepsin and HE4. Receiver operating characteristic (ROC) curve analysis, Spearman's rank correlation, and gradient boosting machine learning models were employed to evaluate the diagnostic and prognostic performance. Results: Presepsin, HE4, and OI were significantly elevated in septic patients compared to controls (all Conclusion: The combined Presepsin, HE4 and OI biomarker panel significantly outperforms individual markers in sepsis diagnosis and prognosis. This machine learning-validated composite indicator enables early risk stratification and may guide timely interventions to improve outcomes.

Indexed as

diagnosisHE4oxygenation indexpresepsinprognosissepsis

Identifiers

PMID41098681
PMCPMC12520129

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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 OpenQuestion graph.