Evidence mapPaperPMID 41325481Full record

ArticlePloS one2025

Association between the atherogenic index of plasma and the occurrence of acute kidney injury in critically ill patients with sepsis: A retrospective study.

Bing Wu, Pengli Wei, Jiaxiang Deng, Yuanyuan Rui

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Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
field-weighted citation impact
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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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Bing WuDepartment of Emergency, the Second People's Hospital of Lu'an City, Lu'an, Anhui, China.
Pengli WeiDepartment of Emergency, the First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui, China.
Jiaxiang DengDepartment of Emergency, the First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui, China.
Yuanyuan RuiDepartment of Emergency, the First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui, China.ORCID https://orcid.org/0009-0006-3017-648X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe atherogenic index of plasma (AIP) is a recognized marker of atherosclerosis and cardiovascular disease (CVD). However, the association between AIP and the risk of acute kidney injury (AKI) in critically ill patients with sepsis has not yet been investigated.

methodsThe data used in this study were derived from the Medical Information Mart for Intensive Care (MIMIC-IV) database. The clinical outcome was the occurrence of AKI. Logistic regression was used to assess the association between AIP and the risk of AKI in sepsis patients. Restricted cubic spline (RCS) analysis was applied to explore potential non-linear relationships. Threshold analysis confirmed a turning point at this value. Subgroup analyses evaluated the consistency of the association across different strata. Mediation analysis was performed to explore potential intermediate variables.

resultsAmong 1,874 sepsis patients, higher AIP levels were associated with increased AKI incidence. Logistic regression showed a significant association between AIP and AKI in unadjusted and partially adjusted models, but the association was no longer significant after full adjustment. RCS analysis revealed a nonlinear relationship with a peak AKI risk at AIP = 1.333. Threshold analysis confirmed a turning point at this value. Subgroup analyses showed consistent associations, while nonlinear effects were more evident in specific groups. Mediation analysis suggested that SOFA score, creatinine, WBC count, and respiratory rate partially mediated the AIP-AKI relationship.

conclusionAIP was nonlinearly associated with AKI in sepsis, with a clear threshold effect. This relationship was partially mediated by SOFA score, creatinine, WBC, and respiratory rate. AIP may serve as a useful marker for AKI risk assessment.

Indexed as

Acute Kidney InjuryAtherosclerosisSepsisAgedBiomarkersCritical IllnessFemaleHumansLogistic ModelsMaleMiddle AgedRetrospective StudiesRisk FactorsBiomarkers

Identifiers

PMID41325481
PMCPMC12668611

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