Evidence map›Paper›PMID 40205347›Full record

ArticleBMC infectious diseases2025

The association between pan-immune-inflammation value with mortality in critically ill patients with sepsis-associated acute kidney injury.

Yidan Zhou, Jingjing Hu

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Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

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10citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Yidan ZhouDepartment of Emergency Medicine, Hangzhou Third People's Hospital, Hangzhou, China.
Jingjing HuDepartment of Emergency Medicine, Hangzhou Third People's Hospital, Hangzhou, China. Hujj951009@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSepsis-associated acute kidney injury (SA-AKI) significantly impacts global health. Early identification of SA-AKI patients at inflammatory and immune risk, followed by timely interventions, is critical for improving outcomes. The pan-immune-inflammation value (PIV) reflects systemic inflammation and immune status. However, its prognostic value in SA-AKI remains unexplored.

methodsThis retrospective cohort study analyzed SA-AKI patients in the MIMIC-IV database. Cox regression assessed the association between PIV and mortality, while restricted cubic spline (RCS) regression explored the relationship between PIV and 30-day and 365-day mortality.

resultsA total of 2,473 SA-AKI patients in our study were categorized into PIV quartiles: T1 (≤ 214), T2 (214-679), T3 (679-2,039), and T4 (> 2,039). PIV showed a nonlinear association with mortality. Higher PIV quartiles were linked to increased mortality, with 30-day rates of 26%, 22%, 35%, and 41% (P < 0.001) and 365-day mortality rates of 34%, 31%, 46%, and 54% (P < 0.001). Adjusted hazard ratios (HR) for 30-day mortality across quartiles were 1.00 (reference), 1.04(0.82, 1.31), 1.54 (1.25, 1.9), and 1.62 (1.32, 1.98), respectively. For 365-day mortality, the HR and 95% CI were 1.00 (reference), 1.06 (0.87, 1.30), 1.58 (1.32, 1.90), and 1.70 (1.42, 2.03). After adding PIV to SOFA score, the integrated discrimination improvement (IDI) for 30-day mortality was 0.005, and the net reclassification improvement (NRI) was 0.103. For 365-day mortality, the IDI was 0.009, and the NRI was 0.124. Regarding the APACHE II score, the IDI for 30-day mortality was 0.003, and the NRI was 0.081. For 365-day mortality, the IDI was 0.006, and the NRI was 0.107.

conclusionElevated PIV independently predicts both short- and long-term adverse outcomes in SA-AKI patients. Incorporating PIV into established critical illness prediction models, such as SOFA and APACHE II, enhances their prognostic accuracy.

Indexed as

Acute Kidney InjuryInflammationSepsisAgedAged, 80 and overCritical IllnessFemaleHumansMaleMiddle AgedPrognosisProportional Hazards ModelsRetrospective StudiesAcute kidney injuryMortalityPan-immune-inflammation valueSepsis

Identifiers

PMID40205347
PMCPMC11980289

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