Is there a J-shaped relationship between the fatty liver index and risk of microalbuminuria in the general population?

Non-Alcoholic Fatty Liver Disease Markers Associated with Fasting Serum Insulin and Urinary Albumin Excretion Independent of Fasting Plasma Glucose

Objective: We examined the association between non-alcoholic fatty liver disease (NAFLD) markers and fasting serum immunoreactive insulin (FIRI) and urinary albumin excretion (UAE). Subjects and methods: This study comprised Periods I and II from January 2007 to May 2009, and from June 2009 to December 2011, respectively. After excluding people with ethanol intake ≥210 g/week in men and ≥140 g/week in women, 961 people (613 men, 348 women; mean age: 44 years) were included. We evaluated the fatty liver using ultrasonography score (FLUS) and measured liver enzymes. Results: The mean observation period was 25 ± 9 months. We stratified people into two groups by fasting plasma glucose (FPG) in Period I. The cutoff point between the lower FPG and higher FPG was 100 mg/dL. In regression analysis, serum alanine aminotransferase (ALT) (p < 0.001), FLUS (p < 0.001) and γ-glutamyl transpeptidase (GGTP) (p = 0.022) in Period I were independently associated with FIRI in Period II, whereas in all participants FPG was not. ALT (p < 0.001) and GGTP (p = 0.001) were also independently associated with UAE in people with FPG < 100 mg/dL in Period II. Conclusions: Some NAFLD markers were associated with FIRI and UAE independently of fasting plasma glucose.

Fatty liver index (FLI) and prediction of new cases of non-alcoholic fatty liver disease: A population-based study of northern Iran

BACKGROUND AND AIMS

Non-alcoholic fatty liver disease is considered a major public health concern. The prediction of individuals who can acquire this disease would be valuable. The fatty liver index (FLI) is a non-invasive approach that has shown a good capability for discriminating individuals with non-alcoholic fatty liver disease (NAFLD) from those without it. Thus, this study evaluated the ability of the FLI to predict new cases of NAFLD following a 7-year follow up.

MATERIALS AND METHODS

This study was based on the results of follow-up on individuals who did not have NAFLD in 2009-2010, but acquired the disease by 2016-2017. A total of 2241 people who did not have NAFLD in 2009-2010 were evaluated 7 years later by ultrasound so as to diagnose new cases of NAFLD. The FLI was calculated based on data from phase 1 (performed in 2009-2010) of the cohort study. ROC analyses were performed to estimate the predictive ability of the FLI in the diagnosis of new cases of NAFLD. Logistic regression analysis was performed, in which the FLI was considered the predictor and new cases of NAFLD was the outcome.

RESULTS

The related AUCs for the FLI in men and women were 0.712 (95% CI = 0.675-0.749) and 0.721 (95% CI = 0.683-0.759), respectively. Based on the current findings, the FLI showed a significant association with NAFLD in multiple logistic regression analyses in both men and women (OR (95% CI) = 1.038 (1.029-1.047), p-value <0.001 in men and OR (95% CI) = 1.032 (1.023-1.041), p-value <0.001 in women in multiple logistic analyses).

CONCLUSION

In this study, the FLI was shown to have an acceptable capability of predicting the occurrence of new cases of NAFLD.

Comparison of laboratory indices of non-alcoholic fatty liver disease for the detection of incipient kidney dysfunction

Non-alcoholic fatty liver disease (NAFLD) is closely linked to insulin resistance and related adverse health outcomes. We investigated the non-invasive index of NAFLD that has the best performance in estimating the renal manifestations of metabolic disturbances. This nation-wide, cross-sectional study included 11,836 subjects, using various non-invasive assessments comprising routinely measured clinical and laboratory variables. The subjects were native Koreans aged 20 years or older and had no diabetes, history of liver or kidney disease. All participants were divided into quintiles according to their fibrosis-4 (FIB-4) results. Participants in the highest quintile were more hypertensive and obese with greater glycemic exposure, poor lipid profiles, and impaired kidney function, than those in the other quintiles. Multiple logistic regression, adjusted for age, sex, smoking, systolic blood pressure, white blood cell, platelet, fasting plasma glucose, and triglyceride, demonstrated that FIB-4, the hepatic steatosis index, the aspartate aminotransferase/alanine aminotransferase (AST/ALT) ratio, Gholam’s model for non-alcoholic steatohepatitis, and the BARD score were independently associated with kidney dysfunction. ROC curve analysis revealed that FIB-4 (AUC = 0.6227, 95% CI [0.5929–0.6526], p = 0.0258) was the most precise in predicting kidney dysfunction. Our findings suggest that FIB-4 may be a favorable screening tool for the renal manifestation of hepatic metabolic disturbances.

Nonalcoholic fatty liver disease and albuminuria: a systematic review and meta-analysis

BACKGROUND/OBJECTIVES

The relationship between nonalcoholic fatty liver disease (NAFLD) and albuminuria has been shown in many epidemiologic studies, although the results were inconsistent. This meta-analysis was conducted to summarize all available data and to estimate the risk of albuminuria among patients with NAFLD.

METHODS

Comprehensive literature review was conducted utilizing Medline and Embase database through January 2018 to identify studies that compared the risk of albuminuria among patients with NAFLD versus those without NAFLD. Effect estimates from each study were extracted and combined using the random-effect, generic inverse variance method of DerSimonian and Laird.

RESULTS

Nineteen studies (17 cross-sectional studies and two cohort studies) with 24 804 participants fulfilled the eligibility criteria and were included in this meta-analysis. The risk of albuminuria among patients with NAFLD was significantly higher than those without NAFLD with the pooled odds ratio (OR) of 1.67 [95% confidence interval (CI): 1.32-2.11]. Subgroup analysis demonstrated the significantly increased risk of albuminuria among patients with NAFLD without diabetes with pooled OR of 2.25 (95% CI: 1.65-3.06). However, we found no significant association between albuminuria and NAFLD among diabetic patients [pooled OR 1.28 (95% CI: 0.94-1.75)].

CONCLUSION

A significantly increased risk of albuminuria among patients with NAFLD was observed in this meta-analysis. Physicians should pay more attention to the early detection and subsequent treatment of individuals with microalbuminuria especially in patients with NAFLD.