The fibrosis-4 (FIB4) index, a simple, noninvasive marker used for hepatic diseases, represents adverse outcomes. The aim of the present study was to evaluate whether the FIB4 index can predict adverse outcomes in patients with ST-elevation myocardial infarction (STEMI).

We investigated patients with STEMI who underwent primary percutaneous coronary intervention (PCI) and were alive at discharge. The cut-off FIB4 index at discharge was investigated using the survival classification and regression tree (CART) model to predict adverse outcomes. The primary outcome was all-cause mortality.

Between January 2006 and December 2018, 1354 patients with STEMI (median age, 68 years; men, 76.1%) were investigated. The median value of the FIB4 index was 1.21 (0.84-1.78). The CART model divided the study population into low (FIB4 index <0.945; n  = 435), intermediate (0.945 ≤ FIB4 index < 2.185; n  = 692), and high (FIB4 index ≥2.185; n  = 227) groups based on the significant predictive values for all-cause death. During a median follow-up period of 4.3 years, all-cause death occurred in 208 patients (15.4%). The Kaplan-Meier analysis showed a significant increase in mortality with higher FIB4 index values (log-rank, P  < 0.001). The multivariate Cox regression model revealed that the FIB4 index was an independent risk predictor for all-cause death in patients with STEMI [low group as reference vs. intermediate group, hazard ratio: 1.975; 95% confidence interval (CI): 1.166-3.346; P  = 0.011 and vs. high group, hazard ratio: 4.633; 95% CI: 2.549-8.418; P  < 0.001].

The FIB4 index was associated with the risk of all-cause mortality in patients with STEMI who underwent primary PCI.

Heavy metals and per- and polyfluoroalkyl substances (PFAS) are significantly associated with the risk of hepatic fibrosis. However, the potential mediating effect of kidney function in the relationship between heavy metals, PFAS, and hepatic fibrosis risk remains unexplored. This research gap limits the development of hepatic fibrosis prevention and treatment strategies. To address this, this study conducts a cross-sectional analysis based on data from 10,870 participants in NHANES 2005-2018 to explore the relationship between heavy metals, PFAS, and the risk of hepatic fibrosis, as well as the mediating effect of kidney function. Participants with a Fibrosis-4 index <1.45 are defined as not having hepatic fibrosis in this study. Results from generalized linear regression models and weighted quantile sum regression models indicate that both individual and combined exposures to heavy metals and PFAS are positively associated with the risk of hepatic fibrosis. Nonlinear exposure-response functions suggest that there may be a threshold for the relationship between heavy metals (except mercury) and PFAS with the risk of hepatic fibrosis. Furthermore, heavy metals and PFAS increase the risk of kidney function impairment. After stratification by kidney function stage, the relationship between heavy metals (except lead) and proteinuria is not significant, while PFAS show a significant negative association with proteinuria. The decline in kidney function has a significant mediating effect in the relationship between heavy metals and PFAS and the risk of hepatic fibrosis, with mediation effect proportions all above 20%. The findings suggest that individual or combined exposure to heavy metals and PFAS does not increase the risk of hepatic fibrosis until a certain threshold is reached, and the mediating role of declining kidney function is very important. These results highlight the need to consider kidney function in the context of hepatic fibrosis risk assessment and management.

To investigate the association between liver fibrosis score and diabetic kidney disease (DKD) in type 2 diabetes mellitus (T2DM).

A total of 897 hospitalized patients with T2DM were included in this study. Each patient completed DKD screening. Logistic regression analysis was used to assess the predictive value of non-alcoholic fatty liver disease fibrosis score (NAFLD-FS) and fibrosis-4 (FIB-4) for the occurrence of DKD and risk for DKD progression, respectively.

The prevalence of DKD and risk for its progression significantly increased with increasing NAFLD-FS risk category. DKD prevalence also increased with increasing FIB-4 risk category. Multivariate logistic regression analysis showed that the "high-risk" NAFLD-FS had a significantly higher risk of DKD (odds ratio [OR]: 1.89, 95% confidence interval [CI]: 1.16-3.08) and risk for DKD progression (OR: 2.88, 95% CI: 1.23-6.78), and the "intermediate-risk" FIB-4 had a significantly higher risk of DKD (OR: 1.41, 95% CI: 1.00-1.98). Subgroup analysis showed that the association between NAFLD-FS and FIB-4 and DKD was significant in the female subgroup, whereas the association between the "high-risk" NAFLD-FS and risk for DKD progression was significant in the male subgroup.

NAFLD-FS and FIB-4 are strongly associated with DKD and risk for DKD progression in patients with T2DM. Additionally, sexual dimorphism exists in this association.

Chronic kidney disease (CKD) and non-alcoholic fatty liver disease (NAFLD) share common risk factors and pathogenesis mechanisms. However, the association between the degree of liver fibrosis and the incidence of CKD remains unclear. This study aims to examine the utility of non-invasive fibrosis markers to predict the occurrence of CKD.

Cochrane Library, Scopus, and Medline were searched up to May 20th, 2023 using combined keywords. Literature that analyzes FIB-4, NFS, and APRI to predict CKD incidence was included in this review. We used random-effect models of odds ratio (OR) with 95% confidence intervals (CI) to express the outcomes in this review.

Twenty-one studies were included. Our meta-analysis showed that high FIB-4 was associated with a higher incidence of CKD (OR 2.51; 95%CI: 1.87-3.37, p < 0.00001, I2 = 96%). Further regression analysis revealed that this association was significantly influenced by hypertension (p = 0.0241), NAFLD (p = 0.0029), and body mass index (BMI) (p = 0.0025). Our meta-analysis also showed that high NFS (OR 2.49; 95%CI: 1.89-3.30, p < 0.00001, I2 = 96%) and high APRI (OR 1.40; 95%CI: 1.14-1.72, p = 0.001, I2 = 26%) were associated with a higher incidence of CKD.

This study suggests that these non-invasive liver fibrosis markers can be routinely measured both in NAFLD patients and the general population to enable better risk stratification and early detection of CKD.

This study aimed to clarify the relationship between liver fibrosis scores (Fibrosis-4, BARD score, and BAAT score) and chronic kidney disease (CKD).

We collected a range of data from 11,503 subjects (5,326 men and 6,177 women) from the rural regions of Northeastern China. Three liver fibrosis scores (LFSs) including fibrosis-4 (FIB-4), BARD score, and BAAT score were adopted. A logistic regression analysis was used to calculate odds ratios and the 95% confidence interval. A subgroup analysis showed the association between LFSs and CKD under different stratifications. Restricted cubic spline could further explore whether there is a linear relationship between LFSs and CKD. Finally, we used C-statistics, Net Reclassification Index (NRI), and Integrated Discrimination Improvement (IDI) to assess the effect of each LFS on CKD.

Through the baseline characteristics, we observed that LFSs were higher in the CKD population than in non-CKD. The proportion of participants with CKD also increased with LFSs. In a multivariate logistic regression analysis, the ORs of CKD were 6.71 (4.45-10.13) in FIB-4, 1.88 (1.29-2.75) in the BAAT score, and 1.72 (1.28-2.31) in the BARD score by comparing the high level with the low level in each LFSs. Moreover, after adding LFSs to the original risk prediction model, which consisted of age, sex, drinking, smoking, diabetes, low-density lipoprotein cholesterol, total cholesterol, triglycerides, and mean waist circumference, we found the new models have higher C-statistics. Furthermore, NRI and IDI both indicate LFSs had a positive effect on the model.

Our study showed that LFSs are associated with CKD among middle-aged populations in rural areas of northeastern China.

Although the association between non-alcoholic fatty liver disease and chronic kidney disease (CKD) has been well known, it is unclear whether Fibrosis-4 (FIB-4) score is a predictor of CKD development. We performed this retrospective cohort study, with a longitudinal analysis of 5-year follow-up data from Japanese annual health check-ups. Participants with CKD (estimated glomerular filtration rate [eGFR] < 60 mL/min/1.73 m² and/or proteinuria) and a habit of alcohol consumption were excluded. The cut-off FIB-4 score was 1.30, indicating increased risk of liver fibrosis. Overall, 5353 participants (men only) were analyzed without exclusion criteria. After propensity score matching, high FIB-4 score (≥ 1.30) was not an independent risk factor for incident CKD (odds ratio [OR] 1.57; 95% confidence interval [CI] 0.97-2.56). However, high FIB-4 score was a significant risk factor for CKD in non-obese (OR 1.92; 95% CI 1.09-3.40), non-hypertensive (OR 2.15; 95% CI 1.16-3.95), or non-smoking (OR 1.88; 95% CI 1.09-3.23) participants. In these participants, FIB-4 score was strongly associated with eGFR decline in the multiple linear regression analysis (β = - 2.8950, P = 0.011). Therefore, a high FIB-4 score may be significantly associated with CKD incidence after 5 years in metabolically healthy participants.