Work

Association between fibrosis-4 index and 30-day all-cause mortality in critically ill patients hospitalised with acute heart failure: a retrospective cohort study from the MIMIC-IV database

Year: 2026

Type: article

Abstract: Introduction: The Fibrosis-4 index (Fib-4), a non-invasive liver fibrosis biomarker, is increasingly linked to cardiovascular risk, but its role in acute heart failure (AHF) remains unclear.Aim: We evaluated its association with 30-day all-cause mortality in critically ill patients with AHF. Material and methods:This retrospective observational study enrolled 1535 ICU patients with AHF from the MIMIC-IV database.The primary endpoint was all-cause mortality within 30 days from the date of hospital admission.Baseline characteristics, comorbidities, laboratory data, and clinical information were extracted.Patients were divided into survival and mortality groups, and baseline differences were compared.Lasso regression identified variables influencing prognosis, which were then included in a restricted cubic splines (RCS) model.Three multivariable logistic regression models (Model 1 unadjusted; Model 2 adjusted for INR, age, BUN, nd potassium; Model 3 fully adjusted for po 2 max, WBC, lymphocytes, BUN, calcium, glucose, anion gap, potassium, INR, ALP, CRRT, CK-MB, age, peripheral vascular disease, and CHA 2 DS 2 -VASc score) were constructed.Receiver operating characteristic (ROC) curve analysis assessed the predictive performance of Fib-4.Subgroup analysis evaluated potential differences across population subgroups.Sensitivity analyses using complete-case analysis and multiple imputation were performed to address missing data.Results: The mortality group (n = 219, 14.3%) exhibited significantly higher Fib-4 values than the survival group (n = 1316).Lasso regression identified 16 variables influencing prognosis, including Fib-4.RCS analysis showed a positive correlation between Fib-4 and 30-day mortality risk (p-overall = 0.006, p-nonlinear = 0.330).After adjustment for confounders, logistic regression demonstrated that Fib-4 was an independent risk factor (Model 1: OR = 1.10, 95% CI: 1.07-1.13,p < 0.001; Model 2: OR = 1.08, 95% CI: 1.05-1.11,p < 0.001; Model 3: OR = 1.05, 95% CI: 1.02-1.09,p = 0.002).The area under the ROC curve (AUC) for Fib-4 predicting 30-day mortality was 0.665, indicating modest predictive value.The optimal cutoff was 2.25 (sensitivity 74.0%, specificity 51.4%).Quartile analysis showed a dose-response relationship (Q4 vs. Q1: OR = 2.51, 95% CI: 1.28-4.92,p = 0.007 in Model 3).Subgroup analyses revealed no significant interaction.Sensitivity analyses confirmed the robustness of the findings. Conclusions:In critically ill patients with AHF, the Fib-4 index is independently associated with 30-day mortality but provides only modest predictive discrimination.This readily available, cost-effective marker may offer adjunctive information for early risk stratification, but its clinical utility should be interpreted with caution given the limited AUC. Key words: Fibrosis-4 index, acute heart failure,

Source: Advances in Interventional Cardiology

DOI: 10.5114/aic.2026.163808

Authors: Xiaotian Ren, Lei Li, Fei Liu, Ye Zhu

Language: English

Topic: Heart Failure Treatment and Management

Subfield: Cardiology and Cardiovascular Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $215

Funder: China Postdoctoral Science Foundation