Eur J Med Res. 2025 Dec 10. doi: 10.1186/s40001-025-03616-x. Online ahead of print.
ABSTRACT
BACKGROUND: The fibrosis-4 (FIB-4) index is valuable in predicting cardiovascular events in individuals with type 2 diabetes. This paper was to ascertain the predictive power of FIB-4 for mortality in patients with heart failure (HF).
METHODS: Patient data were sourced from the MIMIC-IV database and allocated to quartiles based on FIB-4 values. All-cause deaths at 30 days, 90 days, and 1 year after patient admission were the endpoints. Cox models, adjusted for multiple factors, were leveraged to examine the link between FIB-4 and mortality in HF patients. Kaplan-Meier (K-M) survival curves were utilized to unveil differences in mortality among different FIB-4 subgroups. Restricted cubic spline (RCS) was adopted to testify the dose-response relationship between FIB-4 and mortality. Subgroup analyses were implemented to evaluate the consistency of results across age and sex subgroups.
RESULT: A total of 6658 patients were enrolled, with 56% women and 68% whites. Cox analyses revealed considerable links of the FIB-4 index with all-cause deaths at 30 days, 90 days, and 1 year in HF patients. K-M survival analysis showed that the highest FIB-4 quartile (Q4) had the poorest survival. RCS analysis revealed a nonlinear dose-response relationship between FIB-4 and mortality. Risk-stratified analyses in multiple subgroups confirmed consistent results with overall results, with high FIB-4 levels being linked to an increased risk of death.
CONCLUSION: FIB-4 is a reliable predictor of all-cause deaths in HF patients.
PMID:41373033 | DOI:10.1186/s40001-025-03616-x