Evidence map›Paper›PMID 42152098›Full record

ArticleImmunity & ageing : I & A2026

Immunoinflammatory biomarkers for sepsis-associated acute kidney injury: a multicenter prospective cohort study.

Wenliang Ma, Xin Zhang, Jingyi Wang, Jin Zhang, Xiaoxia Guo, Wenxiong Li, Na Cui

Abstract read
In one paragraph

Article in Immunity & ageing : I & A, 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

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Wenliang Ma *Department of Critical Care Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, 100020, China.
Xin Zhang *Department of Critical Care Medicine, Beijing Chest Hospital, Capital Medical University & Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China.
Jingyi WangDepartment of Critical Care Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, 100020, China.
Jin ZhangDepartment of Critical Care Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, 100020, China.
Xiaoxia GuoDepartment of Critical Care Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, 100020, China.
Wenxiong LiDepartment of Critical Care Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, 100020, China.
Na CuiDepartment of Critical Care Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, 100020, China. cyyy_cn@163.com.

Funding

Clinical Research Enhancement Project of Beijing Chaoyang Hospital CYTS2025A03Wu Jieping Medical Foundation 320.6750.2024-22-6
6 · The paper itself

Abstract

backgroundImmune dysregulation is central to sepsis-related organ injury, yet standard clinical indicators show limited predictive value for sepsis-associated acute kidney injury (SA-AKI) in older adults(aged ≥ 65 years). This study evaluated whether immuno-inflammatory biomarkers improve early prediction of SA-AKI.

methodsIn this prospective multicenter cohort of 627 older adults with sepsis admitted to ICUs in five Beijing tertiary hospitals, the overall incidence of SA-AKI was 43.1% (270/627). Clinical variables and immune-inflammatory markers collected within 24 h were used to construct a clinical model (Model 1) and an integrated model (Model 2, combining clinical variables with immuno-inflammatory biomarkers). Model performance was examined using ten-fold cross-validation and an internal test set.

resultsSix clinical predictors were included in Model 1, while Model 2 additionally incorporated C3, C4, CD4% T cells, and NK cells. In the testing set, Model 2 showed markedly better discrimination than Model 1 (AUC 0.878 vs. 0.717; p < 0.001) with higher sensitivity and specificity. Immune-marker inclusion significantly improved risk reclassification (NRI 86.1%; p = 0.002).

conclusionsAdding immuno-inflammatory biomarkers substantially enhanced early prediction of SA-AKI in older adults, underscoring the key role of immune imbalance and supporting targeted immune monitoring for individualized risk assessment.

Indexed as

Acute kidney injuryImmunologyInflammatoryOlder adultsPredictionSepsis

Identifiers

PMID42152098
PMCPMC13296114

What Socratic holds

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LicenceCC BY-NC-ND
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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.