Study of the relationship between iron metabolism disorders and sepsis-associated liver injury: A prospective...

Sepsis-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.

To investigate the relationship between iron metabolism and SALI.

In 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.

There 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 (P < 0.001), TIBC (P < 0.001), serum ferritin (P = 0.001), transferrin (P = 0.005), and transferrin saturation levels (P < 0.001). Multivariate logistic regression analysis revealed that SI (odds ratio = 1.24, 95% confidence interval: 1.11-1.40, P < 0.001) and TIBC levels (odds ratio = 1.13, 95% confidence interval: 1.05-1.21, P < 0.001) were independent predictors of SALI. Receiver operating characteristic curve analysis revealed that SI and TIBC had areas under the curve of 0.816 and 0.757, respectively, indicating moderate predictive accuracy for SALI.

Iron 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.