BACKGROUND: Non-alcoholic fatty liver disease (NAFLD), now known as Metabolic Dysfunction-Associated Fatty Liver Disease (MAFLD), is linked to cardiovascular disease. This renaming emphasizes the role of metabolic problems. Coronary artery calcification (CAC) reflects early coronary artery disease, but data on the MAFLD-CAC link is limited. OBJECTIVE: To demonstrate the association between metabolic dysfunction-associated fatty liver disease (MAFLD) based on its criteria and coronary artery calcification, as measured by CT CAC score. METHODS: This single-center retrospective study involved adult Filipino patients who underwent CT CAC scoring between January 2021 and January 2023. Clinical and laboratory data were obtained via review of electronic records. RESULTS: This study involved 147 patients with an average age of 62 years, primarily females (57.14%), and mostly falling into the Obese-Class I category (31.29%). The most common comorbidities were hypertension (95.24%), dyslipidemia (62.59%), and diabetes mellitus (38.1%). In terms of CAC scores using the CT Agatston method, majority (30.61%) had low calcium buildup (Stage 2 with scores between 1-99). Approximately 26.53% had higher liver fat content with liver HU below 40, while 73.47% had lower liver fat content with HU equal to or greater than 40. Furthermore, 25.17% of patients with fatty livers and other risk factors were diagnosed with MAFLD, while 74.83% were not. The p-value indicated a significant difference in proportions, suggesting a lower proportion of MAFLD among those who had undergone CT CAC scoring. However, the Pearson Chi-Square statistic (4.051) and the p-value (0.256) indicated no statistically significant association between MAFLD and CT CAC. CONCLUSION The study found a notably lower proportion of MAFLD diagnoses in patients who underwent CT CAC scoring. Additionally, there was no statistically significant link between MAFLD and CT CAC.
Cardiovascular Diseases ; Coronary Artery Disease ; Fatty Liver, Alcoholic

BACKGROUND

Non-Alcoholic Fatty Liver Disease (NAFLD) is common in Type 2 Diabetes Mellitus (T2DM). The FIB-4 index is one of the most-studied non-invasive biomarkers that combines age and laboratory parameters (platelet count, alanine-and aspartate- aminotransferase) to evaluate underlying hepatic fibrosis. This study aims to determine the diagnostic value of Fibrosis-4 (FIB-4) index scoring in screening for non-alcoholic fatty liver disease in patients with type 2 diabetes mellitus, which is a high-risk population in development of advance fibrosis.

A single center, analytical cross-sectional study was conducted among adult T2DM patients with and without NAFLD seen at the Out-Patient Department (OPD) and those with NAFLD enrolled under the Liver Disease Databank of the Liver Disease and Transplant Center in collaboration with Research and Biotechnology Division at St. Luke’s Medical Center, Quezon City. Medical history was obtained by reviewing charts of eligible patients using data collection form. Liver ultrasound was used as the reference standard in the diagnosis of NAFLD. The FIB-4 index was calculated with this formula: age (years) x AST (U/L)/(platelets (10^9/L) x ALT (U/L)^1/2.

A total of 305 adult patients with type 2 diabetes mellitus were included in the study. The prevalence of non-alcoholic fatty liver disease based on ultrasound among diabetic patients is 76.07%. The median age (p = 0.0204), AST (p < 0.00001), ALT (p < 0.00001) were significantly higher in patients with NAFLD than those without. Platelet count (p = 0.0002) was significantly lower in patients with NAFLD than those without. The proportion of patients with low platelet count, high AST and high ALT were significantly higher in patients with NALFD than those without. In this study, the FIB-4 index cutoff score for screening of NAFLD is ≥0.76, which has an accuracy of 66.23%, sensitivity of 75%, specificity of 38.3%, PPV of 79.46% and NPV of 32.56% in detecting fatty liver.

A FIB-4 index value of ≥0.76 has an acceptable sensitivity for screening NAFLD even in the absence of fibrosis among patients with T2DM. However, due to its low specificity, additional tests to establish NAFLD diagnosis may be required.

BACKGROUND

Non-alcoholic fatty liver disease (NAFLD) is prevalent in patients with Type 2 Diabetes Mellitus (T2DM) and is associated with chronic kidney disease (CKD). The aim of this cross-sectional study was to determine the association of Fibrosis-4 (FIB-4) index with CKD among T2DM patients with concomitant NAFLD.

A single center, analytical cross-sectional study was conducted among 216 T2DM patients with concomitant NAFLD. Clinical data were obtained via retrospective review of medical charts. The outcome of interest was CKD which was based on self-report obtained from medical charts or estimated Glomerular Filtration Rate (eGFR)RESULTS

Higher FIB-4 index was found to be significantly associated with CKD. Patients with FIB-4 index of 1.45-3.25 (moderate risk) and >3.25 (high risk) have about 3 times higher odds of CKD. However, after controlling for the significant confounders, only those who belong to high-risk group was found to be associated with CKD.

This study has demonstrated that FIB4 index > 3.25, an index of liver fibrosis, is significantly associated with development of CKD in T2DM patients with concomitant NAFLD.

Non-alcoholic fatty liver disease (NAFLD) is one of the most prevalent causes of chronic liver disease worldwide which is often seen in patients with metabolic abnormalities such as those with obesity and insulin resistance. On the other hand, sarcopenia is a generalized and progressive skeletal muscle disorder characterized by low muscle strength, low muscle quality, low physical performance, or a combination of the three. Both disease entities share several underlying risk factors and pathophysiologic mechanisms. These include: (1) cardiometabolic overlaps such as insulin resistance, chronic systemic inflammation, decreased vitamin D levels, sex hormone modifications; (2) muscle-related factors such as those mitigated by myostatin signaling, and myokines (i.e., irisin); and (3) liver-dysfunction related factors such as those associated with growth hormone/insulin-like growth factor 1 Axis, hepatokines (i.e., selenoprotein P and leukocyte cell-derived chemotaxin-2), fibroblast growth factors 21 and 19 (FGF21 and FGF19), and hyperammonemia. This narrative review will examine the pathophysiologic overlaps that can explain the links between NAFLD and sarcopenia. Furthermore, this review will explore the emerging roles of nonpharmacologic (e.g., weight reduction, diet, alcohol, and smoking cessation, and physical activity) and pharmacologic management (e.g., roles of β-hydroxy-β-methylbutyrate, branched-chain amino acid supplements, and testosterone therapy) to improve care, intervention sustainability, and acceptability for patients with sarcopenia-associated NAFLD.
Non-alcoholic Fatty Liver Disease ; Sarcopenia

Objective: Bariatric surgery effectively treats non-alcoholic fatty liver disease (NAFLD). The glutamate-serine-glycine (GSG) index has emerged as a non-invasive diagnostic marker for NAFLD, but its ability to monitor treatment response remains unclear. This study investigates the GSG index's ability to monitor NAFLD's response to bariatric surgery. Methodology: Ten NAFLD participants were studied at baseline and 6 months post-bariatric surgery. Blood samples were collected for serum biomarkers and metabolomic profiling. Hepatic steatosis [proton density fat fraction (PDFF)] and fibroinflammation (cT1) were quantified with multiparametric magnetic resonance imaging (mpMRI), and hepatic stiffness with magnetic resonance elastography (MRE). Amino acids and acylcarnitines were measured with mass spectrometry. Statistical analyses included paired Student’s t-test, Wilcoxon-signed rank test, and Pearson’s correlation. Results: Eight participants provided complete data. At baseline, all had hepatic steatosis (BMI 39.3 ± 5.6 kg/m2, PDFF ≥ 5%). Post-surgery reductions in PDFF (from 12.4 ± 6.7% to 6.2 ± 2.8%, p = 0.013) and cT1 (from 823.3 ± 85.4ms to 757.5 ± 41.6ms, p = 0.039) were significant, along with the GSG index (from 0.272 ± 0.03 to 0.157 ± 0.05, p = 0.001). Conclusion The GSG index can potentially be developed as a marker for monitoring the response of patients with NAFLD to bariatric surgery.
Non-alcoholic Fatty Liver Disease ; Amino Acids ; Metabolomics

BACKGROUND AND AIM: Remnant cholesterol (remnant-C) mediates the progression of major adverse cardiovascular events. It is unclear whether remnant-C, and particularly cumulative exposure to remnant-C, is associated with nonalcoholic fatty liver disease (NAFLD). This study aimed to explore whether remnant-C, not only baseline but cumulative exposure, can be used to independently evaluate the risk of NAFLD. METHODS: This study included 1 cohort totaling 21,958 subjects without NAFLD at baseline who underwent at least 2 repeated health checkups and 1 sub-cohort totaling 2,649 subjects restricted to those individuals with at least 4 examinations and no history of NAFLD until Exam 3. Cumulative remnant-C was calculated as a timeweighted model for each examination multiplied by the time between the 2 examinations divided the whole duration. Cox regression models were performed to estimate the association between baseline and cumulative exposure to remnant-C and incident NAFLD. RESULTS: After multivariable adjustment, compared with the quintile 1 of baseline remnant-C, individuals with higher quintiles demonstrated significantly higher risks for NAFLD (hazard ratio [HR] 1.48, 95%CI 1.31-1.67 for quintile 2; HR 2.07, 95%CI 1.85-2.33 for quintile 3; HR 2.55, 95%CI 2.27-2.88 for quintile 4). Similarly, high cumulative remnant-C quintiles were significantly associated with higher risks for NAFLD (HR 3.43, 95%CI 1.95-6.05 for quintile 2; HR 4.25, 95%CI 2.44-7.40 for quintile 3; HR 6.29, 95%CI 3.59-10.99 for quintile 4), compared with the quintile 1. CONCLUSION Elevated levels of baseline and cumulative remnant-C were independently associated with incident NAFLD. Monitoring immediate levels and longitudinal trends of remnant-C may need to be emphasized in adults as part of NAFLD prevention strategy.
Adult ; Humans ; Cohort Studies ; Non-alcoholic Fatty Liver Disease/etiology* ; Cholesterol ; Proportional Hazards Models ; Risk Factors

OBJECTIVE: To investigate a new noninvasive diagnostic model for nonalcoholic fatty liver disease (NAFLD) based on features of tongue images. METHODS: Healthy controls and volunteers confirmed to have NAFLD by liver ultrasound were recruited from China-Japan Friendship Hospital between September 2018 and May 2019, then the anthropometric indexes and sampled tongue images were measured. The tongue images were labeled by features, based on a brief protocol, without knowing any other clinical data, after a series of corrections and data cleaning. The algorithm was trained on images using labels and several anthropometric indexes for inputs, utilizing machine learning technology. Finally, a logistic regression algorithm and a decision tree model were constructed as 2 diagnostic models for NAFLD. RESULTS: A total of 720 subjects were enrolled in this study, including 432 patients with NAFLD and 288 healthy volunteers. Of them, 482 were randomly allocated into the training set and 238 into the validation set. The diagnostic model based on logistic regression exhibited excellent performance: in validation set, it achieved an accuracy of 86.98%, sensitivity of 91.43%, and specificity of 80.61%; with an area under the curve (AUC) of 0.93 [95% confidence interval (CI) 0.68-0.98]. The decision tree model achieved an accuracy of 81.09%, sensitivity of 91.43%, and specificity of 66.33%; with an AUC of 0.89 (95% CI 0.66-0.92) in validation set. CONCLUSIONS The features of tongue images were associated with NAFLD. Both the 2 diagnostic models, which would be convenient, noninvasive, lightweight, rapid, and inexpensive technical references for early screening, can accurately distinguish NAFLD and are worth further study.
Humans ; Non-alcoholic Fatty Liver Disease/diagnostic imaging* ; Ultrasonography ; Anthropometry ; Algorithms ; China

: According to the World Health Organization, in 2019, an estimated 38.2 million children under the age of 5 years were overweight or obese. With this increased prevalence along came the rise of its comorbidities such as non-alcoholic fatty liver disease (NAFLD) at early ages. The general objective of this case study is to bring awareness of NAFLD in the young. The specific objective is to present a case of a ten year old boy with non alcoholic liver disease and the challenge in the management. The case study is a 10 year old boy diagnosed to be overweight, hypertriglyceridemia and non-alcoholic fatty liver disease. Baseline weight and body mass index were taken on his first visit and follow up. CBC, Na+, K+, Creatinine, SGPT, FBS, Uric Acid, Total cholesterol, triglycerides, high density lipoprotein, Low density lipoprotein, HBsAg, Anti-HBs, ultrasound of the abdomen and fibroscan of the liver were done. Nutritional counselling was given but not followed. Physical activity prescription of at least 30 minutes/day moderate intensity exercise five times/week. This was done for 1 hour/day five times/week. He was also prescribed N acetylcysteine, Fish oil and Vitamin D. After six and a half months, triglycerides became normal however weight and BMI remain the same. Non-alcoholic liver disease was still present on repeat abdominal ultrasound. Conclusion 1. By engaging in exercise for 6 1/2 months, patient NP was able to normalize the elevated triglyceride level. 2. Without dietary modification, patient wasn’t able to improve his body mass index. His ultrasound still showed the presence of fatty liver. 3. Physicians have the power to influence patients on developing healthy behaviors. They need to take time to engage and listen and help patient discover by themselves lifestyle behaviors that can impact their health. 4. There is a great challenge in instituting this therapeutic intervention for a teenager especially when he is asymptomatic and do not see the need for it. To elicit a better outcome of this patient, it will entail the adoption of the lifestyle modification by the entire family. To set clear and achievable goals and a collaborative management to include a dietician, a health coach and a behavioral therapist may aid compliance.
Pediatric ; non-alcoholic fatty liver disease (NAFLD) ; hypertriglyceridemia ; lifestyle

BACKGROUND: There is little published evidence about the role of non-alcoholic fatty liver disease (NAFLD) in the progression from prehypertension to hypertension. This study was conducted to investigate the association of NAFLD and its severity with the risk of hypertension developing from prehypertension. METHODS: The study cohort comprised 25,433 participants from the Kailuan study with prehypertension at baseline; those with excessive alcohol consumption and other liver diseases were excluded. NAFLD was diagnosed by ultrasonography and stratified as mild, moderate, or severe. Univariable and multivariable Cox proportional hazard regression was used to calculate the hazard ratios (HRs) and 95% confidence intervals (CIs) of incident hypertension according to the presence and 3 categories of severity of NAFLD. RESULTS: During a median of 12.6 years of follow-up, 10,638 participants progressed to hypertension from prehypertension. After adjusting for multiple risk factors, patients with prehypertension and NAFLD had a 15% higher risk of incident hypertension than those without NAFLD (HR = 1.15, 95% CI 1.10-1.21). Moreover, the severity of NAFLD was associated with the incidence of hypertension, which was higher in patients with more severe NAFLD (HR = 1.15 [95% CI 1.10-1.21] in the mild NAFLD group; HR = 1.15 [95% CI 1.07-1.24] in the moderate NAFLD group; and HR = 1.20 [95% CI 1.03-1.41] in the severe NAFLD group). Subgroup analysis indicated that age and baseline systolic blood pressure may modify this association. CONCLUSIONS NAFLD is an independent risk factor for hypertension in patients with prehypertension. The risk of incident hypertension increases with the severity of NAFLD.
Humans ; Non-alcoholic Fatty Liver Disease/complications* ; Prehypertension/diagnosis* ; Risk Factors ; Hypertension ; Incidence

Humans ; Non-alcoholic Fatty Liver Disease ; Prospective Studies ; Risk Factors ; Exercise ; Liver