METHODS: A longitudinal study of biopsy-proven NAFLD patients was conducted at the Asian tertiary hospital from November 2012 to January 2017. Patients with paired liver biopsies and LSM were followed prospectively for liver-related and non-liver related complications, and survival.
RESULTS: The data for 113 biopsy-proven NAFLD patients (mean age 51.3 ± 10.6 years, male 50%) were analyzed. At baseline, advanced fibrosis based on histology and LSM was observed in 22 and 46%, respectively. Paired liver biopsy and LSM at 1-year interval was available in 71 and 80% of patients, respectively. High-risk cases (defined as patients with advanced fibrosis at baseline who had no fibrosis improvement, and patients who developed advanced fibrosis on repeat assessment) were seen in 23 and 53% of patients, based on paired liver biopsy and LSM, respectively. Type 2 diabetes mellitus was independently associated with high-risk cases. The median follow-up was 37 months with a total follow-up of 328 person-years. High-risk cases based on paired liver biopsy had significantly higher rates of liver-related complications (p = 0.002) but no difference in other outcomes. High-risk patients based on paired LSM had a significantly higher rate of liver-related complications (p = 0.046), cardiovascular events (p = 0.025) and composite outcomes (p = 0.006).
CONCLUSION: Repeat LSM can predict liver-related complications, similar to paired liver biopsy, and may be useful in identifying patients who may be at an increased risk of cardiovascular events. Further studies in a larger cohort and with a longer follow-up should be carried out to confirm these observations.
METHODS: A cross-sectional study of hemodialysis patients from 10 hemodialysis centers was used. FibroTouch examination was performed on all patients. Fatty liver was diagnosed based on ultrasound attenuation parameter ≥248 dB/m while advanced liver fibrosis was diagnosed based on liver stiffness measurement ≥10 kPa.
RESULTS: This study included 447 hemodialysis patients (median age 59 [50-67], male 55%, Chinese 61%, Malay 20%, Indian 18%). Dialysis vintage was 49 (22-93) months. The prevalence of MAFLD was 43.4%. Independent factors associated with MAFLD were elevated waist circumference (aOR = 10.1, 95% CI = 5.3-19.4, p
METHODS: In a cross-sectional study of 379 hemodialysis patients, FibroTouch transient elastography was performed on all patients. Erythropoeitin resistance index (ERI) was used to measure the responsiveness to ESA. Patients in the highest tertile of ERI were considered as having ESA hypo-responsiveness.
RESULTS: The percentage of patients with ESA hypo-responsiveness who had MAFLD was lower than patients without ESA hypo-responsiveness. FIB-4 index was significantly higher in ESA hypo-responsive patients. In multivariate analysis, female gender (aOR = 3.4, 95% CI = 1.9-6.2, p < 0.001), dialysis duration ≥50 months (aOR = 1.8, 95% CI = 1.1-2.9, p < 0.05), elevated waist circumference (aOR = 0.4, 95% CI = 0.2-0.8, p = 0.005), low platelet (aOR = 2.6, 95% CI 1.3-5.1, p < 0.01), elevated total cholesterol (aOR = 0.5, 95% CI 0.3-0.9, p < 0.05) and low serum iron (aOR = 3.8, 95% CI = 2.3-6.5, p < 0.001) were found to be independent factors associated with ESA hypo-responsiveness. Neither MAFLD nor advanced liver fibrosis was independently associated with ESA hypo-responsiveness. However, every 1 kPA increase in LSM increased the chance of ESA-hyporesponsiveness by 13% (aOR = 1.1, 95% CI = 1.0-1.2, p = 0.002) when UAP and LSM were used instead of presence of MAFLD and advanced liver fibrosis, respectively.
CONCLUSION: MAFLD and advanced liver fibrosis were not independently associated with ESA hypo-responsiveness. Nevertheless, higher FIB-4 score in ESA hypo-responsive group and significant association between LSM and ESA hypo-responsiveness suggest that liver fibrosis may be a potential clinical marker of ESA hypo-responsiveness.
METHODS: A systematic search was conducted using five (Goh et al., 2013) [5] databases: Cochrane, PubMed, Scopus, Science Direct, EBSCO and grey literature. Two reviewers independently screened studies using predefined inclusion and exclusion criteria and performed data extraction. Assessment of methodological quality was completed using the Newcastle-Ottawa checklist.
RESULTS: The quality of most studies were of high quality, with the majority reporting no association between lifestyle factors and NAFLD. A total of 6 studies were included in this systematic review. The prevalence of NAFLD among adolescents varied between 8.0% (Fraser et al., 2007) in a study on 5586 adolescents aged 12-19 and 16.0% (Chen et al., 2009) in another survey of 1724 adolescents aged 12-13 years old. Snacking habits and lack of physical activity had potential associations with adolescent NAFLD. Current evidence shows that lifestyle factor (Western dietary pattern) is associated with a higher risk of developing NAFLD among adolescents.
CONCLUSIONS: Lifestyle factors, including snacking habits and lack of physical activity, were associated with a higher risk of developing NAFLD among adolescents from high-income countries. The difference in the prevalence of NAFLD between countries with different incomes requires further investigation.
METHODS: This was a cross-sectional study on medical students from the University of Malaya. Diagnosis of NAFLD was by transabdominal ultrasonography and following exclusion of significant alcohol intake and other causes of chronic liver disease.
RESULTS: Data of 469 subjects were analyzed (mean age 23.2 ± 2.4 years, 40.3 % male). The racial distribution was: Chinese 53.9 %, Malay 30.5 % and Indian 15.6 %. The overall prevalence of NAFLD was 7.9 %. Subjects with NAFLD were older, had greater BMI and WC, higher SBP and DBP, higher FBS, serum TG and LDL levels, and lower serum HDL level. The prevalence of NAFLD was higher among males compared to females (17.9 % vs. 3.3 %, p
METHODS: Consecutive NAFLD patients attending five clinics in Asia were included in this study. The 10-year cardiovascular disease risk was calculated based on the Framingham Heart Study, and patients were categorized as moderate, high, or very high risk for cardiovascular disease on the basis of the American Association of Clinical Endocrinologist 2017 Guidelines. The low-density lipoprotein cholesterol treatment goal for each of the risk groups was 2.6, 2.6, and 1.8 mmol/L, respectively.
RESULTS: The data for 428 patients were analyzed (mean age 54.4 ± 11.1 years, 52.1% male). Dyslipidemia was seen in 60.5% (259/428), but only 43.2% (185/428) were on a statin. The percentage of patients who were at moderate, high, and very high risk for cardiovascular disease was 36.7% (157/428), 27.3% (117/428), and 36.0% (154/428), respectively. Among patients who were on a statin, 58.9% (109/185) did not achieve the treatment target. Among patients who were not on a statin, 74.1% (180/243) should be receiving statin therapy. The percentage of patients who were not treated to target or who should be on statin was highest among patients at very high risk for cardiovascular disease at 79.6% (78/98) or 94.6% (53/56), respectively.
CONCLUSION: This study highlights the suboptimal treatment of dyslipidemia and calls for action to improve the treatment of dyslipidemia in NAFLD patients.
METHODS: This is a cross-sectional study of consecutive adult T2DM patients attending the Diabetes Clinic of a university hospital. Significant hepatic steatosis and advanced fibrosis was diagnosed based on transient elastography if the controlled attenuation parameter was ≥ 263 dB/m, and the liver stiffness measurement was ≥ 9.6 kPa using the M probe or ≥ 9.3 kPa using the XL probe, respectively. Patients with liver stiffness measurement ≥ 8 kPa were referred to the Gastroenterology and Hepatology Clinic for further assessment, including liver biopsy.
RESULTS: The data of 557 patients were analyzed (mean age 61.4 ± 10.8 years, male 40.6%). The prevalence of NAFLD and advanced fibrosis based on transient elastography was 72.4% and 21.0%, respectively. On multivariate analysis, independent factors associated with NAFLD were central obesity (OR 4.856, 95% confidence interval [CI] 2.749-8.577, P = 0.006), serum triglyceride (OR 1.585, 95% CI 1.056-2.381, P = 0.026), and alanine aminotransferase levels (OR 1.047, 95% CI 1.025-1.070, P
METHODS: Consecutive NAFLD patients who underwent liver biopsy were enrolled in this study and had two sets each of pSWE and TE examinations by a nurse and a doctor on the same day of liver biopsy procedure. The medians of the four sets of pSWE and TE were used for evaluation of diagnostic accuracy using area under receiver operating characteristic curve (AUROC). Intra-observer and inter-observer variability was analyzed using intraclass correlation coefficients.
RESULTS: Data for 100 NAFLD patients (mean age 57.1 ± 10.2 years; male 46.0%) were analyzed. The AUROC of TE for diagnosis of fibrosis stage ≥ F1, ≥ F2, ≥ F3, and F4 was 0.89, 0.83, 0.83, and 0.89, respectively. The corresponding AUROC of pSWE was 0.80, 0.72, 0.69, and 0.79, respectively. TE was significantly better than pSWE for the diagnosis of fibrosis stages ≥ F2 and ≥ F3. The intra-observer and inter-observer variability of TE and pSWE measurements by the nurse and doctor was excellent with intraclass correlation coefficient > 0.96.
CONCLUSION: Transient elastography was significantly better than pSWE for the diagnosis of fibrosis stage ≥ F2 and ≥ F3. Both TE and pSWE had excellent intra-observer and inter-observer variability when performed by healthcare personnel of different backgrounds.