Observational studyWorld journal of gastroenterology2025
Study of the relationship between iron metabolism disorders and sepsis-associated liver injury: A prospective observational study.
Observational study in World journal of gastroenterology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Plasma YAP1 as a biomarker for the prediction of occurrence, progression, and outcomes of sepsis-associated liver injury: a prospective observational study.BMC gastroenterology · 2026Observational
- Serum iron is associated with the prognosis in sepsis based on a large-scale database.BMC infectious diseases · 2026Article
- Development and validation of a diagnostic prediction model for acute liver injury in sepsis based on serum ferritin level.European journal of medical research · 2025Article
- Iron metabolism and sepsis-associated liver injury: Methodological considerations and clinical perspectives.World journal of hepatology · 2025Article
- Biomarkers as Beacons: Illuminating Sepsis-Associated Hepato-Renal Injury.International journal of molecular sciences · 2025Review
Corrections and comments
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Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSepsis-associated liver injury (SALI) refers to secondary liver function impairment caused by sepsis, patients with SALI often have worse clinical outcomes. The early identification and assessment of the occurrence and progression of SALI are pressing issues that urgently need to be resolved.
aimTo investigate the relationship between iron metabolism and SALI.
methodsIn this prospective study, 139 patients were recruited, with 53 assigned to the SALI group. The relationships between SALI and various iron metabolism-related biomarkers were examined. These biomarkers included serum iron (SI), total iron-binding capacity (TIBC), serum ferritin, transferrin, and transferrin saturation. To identify independent risk factors for SALI, both univariate and multivariate logistic regression analyses were performed. Additionally, receiver operating characteristic curve analysis was utilized to assess the predictive value of these biomarkers for the occurrence of SALI.
resultsThere were no statistically significant differences in age, sex, body mass index, Sequential Organ Failure Assessment scores (excluding liver function), or APACHE II scores between the two groups of patients. Compared with the sepsis group, the SALI group presented significantly higher SI (
conclusionIron metabolism disorders are closely associated with the development of SALI, and SI and TIBC may serve as potential predictive biomarkers. The combined use of SI and TIBC has superior diagnostic efficacy for SALI. These findings provide valuable insights for the early identification and management of SALI among patients with sepsis.
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