Evidence map›Paper›PMID 42718519›Full record

ArticleFrontiers in immunology2026

Association of iron-related parameters with the development of sepsis-associated acute kidney injury.

Pengyi An, Gong Gu, Zhuang Ge, Yingying Dong, Feili Liu, Xuhan Liu, Chuwei Yang

Abstract read
In one paragraph

Article in Frontiers in immunology, 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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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Pengyi An *Department of Emergency Medicine, The Second Affiliated Hospital of Dalian Medical University, Dalian, China.
Gong Gu *Department of Emergency Medicine, The Second Affiliated Hospital of Dalian Medical University, Dalian, China.
Zhuang Ge *Department of Emergency Medicine, The Second Affiliated Hospital of Dalian Medical University, Dalian, China.
Yingying DongDepartment of Endocrinology, Central Hospital of Dalian University of Technology, Dalian, China.
Feili LiuDepartment of Endocrinology, Central Hospital of Dalian University of Technology, Dalian, China.
Xuhan LiuDepartment of Endocrinology, Central Hospital of Dalian University of Technology, Dalian, China.
Chuwei YangDepartment of Emergency Medicine, The Second Affiliated Hospital of Dalian Medical University, Dalian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the associations of iron-related parameters, including serum ferritin (SF), serum iron (SI), and transferrin saturation (TSAT), with the development of sepsis-associated acute kidney injury (SA-AKI). Methods: This retrospective study included 808 patients with sepsis admitted to the Second Affiliated Hospital of Dalian Medical University between January 1, 2015 and September 30, 2024. Data were obtained from the Yidu Cloud database and the hospital electronic medical record system. Patients were classified according to whether acute kidney injury (AKI) was clinically diagnosed within 48 hours of admission. Group differences were assessed using appropriate parametric or nonparametric tests, and correlations using Spearman analysis. SF, SI, and TSAT were categorized into quartiles to examine trends in AKI incidence. Two multivariable logistic regression models-a clinical model and the clinical model plus SF-were constructed to evaluate factors associated with SA-AKI. Receiver operating characteristic (ROC) curves were used to assess discriminatory ability, and the areas under the curves (AUCs) were compared using the DeLong test. Model calibration was assessed using the Hosmer-Lemeshow test and calibration plots, and internal validation was performed using 1,000 bootstrap resamples. Results: Among the 808 patients, 310 (38.4%) had SA-AKI. In Model 2, higher SF remained associated with SA-AKI (OR 2.479 per 100-ng/mL increase, 95% CI 2.123,2.894, Conclusions: Higher SF was associated with SA-AKI and improved the discriminatory ability of the clinical model. SF may provide additional information for the clinical assessment and identification of SA-AKI in patients with sepsis.

Indexed as

Acute Kidney InjuryFerritinsIronSepsisAgedBiomarkersFemaleHumansMaleMiddle AgedRetrospective StudiesRisk FactorsROC CurveTransferrinBiomarkersFerritinsIronTransferrinacute kidney injuryassociationiron statussepsisserum ferritin

Identifiers

PMID42718519
PMCPMC13553410

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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.