METHODS: A 24-item ASK-Q with four domains: self-understanding (5 items), aetiology (5 items), complications (5 items) and management (9 items) of liver cirrhosis was developed based on literature review and expert panel input. It was then piloted in five English-speaking patients with liver cirrhosis. These patients commented that the font size was too small. Hence, the font was enlarged and the final version of the ASK-Q was administered to English-speaking patients with liver cirrhosis, aged ≥18 years, with or without decompensation, at a tertiary hospital, from September 2020 to November 2021, at baseline and fortnight later. Patients with encephalopathy were excluded.
RESULTS: 120/135 patients agreed to participate (response rate = 88.9%). The overall median score was 59.1 (45.6-68.2). A total of 7/22 (31.8%) items were "easy", 14/22 (63.6%) items were "moderately easy" and 1/22 (4.5%) items were "difficult". Exploratory factor analysis extracted nine factors, and two items were omitted. The ASK-Q was able to discriminate the knowledge level of patients with and without tertiary education [59.1 (50.0-72.7) vs. 54.5 (36.4-63.6); P
METHODS: This is an analysis of prospectively collected data on potential donors for an adult LDLT programme, between January 2017 and December 2019.
RESULTS: Fifty-five donors for 33 potential recipients were evaluated. The mean age was 31.6 ± 8.5 years, 52.7% were female and the ethnic divisions were: Chinese (50.9%), Indian (25.5%) and Malay (23.6%). The mean body mass index (BMI) among potential donors was 25.1 ± 4.0 kg/m2; 25.5% of donors had normal BMI, 23.6% were overweight and 50.9% were obese. Using the CAP modality of Fibroscan®, we identified the following grades of hepatic steatosis: 36.6% S0, 19.5% S1, 2.4% S2 and 41.5% S3. The non-utilization rate of our donors was 74.5% (41/55) and the main reasons were significant hepatic steatosis and/or obesity. Compared to suitable donors, unsuitable donors had significantly greater mean BMI, mean CAP scores, higher rates of dyslipidaemia and NAFLD.
CONCLUSION: NAFLD and obesity represent major challenges to an emerging LDLT programme in Malaysia.
METHODS: A retrospective study was conducted among liver disease patients of various etiologies undergoing transient elastography (TE) over a 9-year duration.
RESULTS: Data for 2886 patients were analyzed and had the following demographics: The median age was 60 (IQR: 45-69) years, 51% were males, and ethnicity was predominantly Chinese (52.5%), followed by Malays (34%) and Indians (12.3%). The median CAP score was 272 (IQR: 219-319) dB/m and the median liver stiffness measurement (LSM) score was 6.5 (IQR: 4.9-9.7) kPa. Hepatic steatosis occurred across the spectrum of etiologies of CLD. Among patients with steatosis, the most common etiologies were nonalcoholic fatty liver disease (NAFLD) at 62% and chronic hepatitis B (CHB) at 26.3%. TE findings suggestive of cACLD (10.1-15 kPa) and highly suggestive of cACLD (>15 kPa) were observed in 11.3% and 12.4% of patients, respectively. NAFLD was found to be the most common etiology for cases with suggestive of cACLD (47.2%) and highly suggestive of cACLD (41.5%).
CONCLUSION: Hepatic steatosis is common in CLD, regardless of etiology. Compared with other etiologies, NAFLD is now the leading cause of cACLD.
METHODS: We estimated global and regional temporal trends in the burden of cancer attributable to high BMI, and the contributions of various cancer types using the framework of the Global Burden of Disease Study.
RESULTS: From 2010 to 2019, there was a 35 % increase in deaths and a 34 % increase in disability-adjusted life-years from cancers attributable to high BMI. The age-standardized death rates for cancer attributable to high BMI increased over the study period (annual percentage change [APC] +0.48 %, 95 % CI 0.22 to 0.74 %). The greatest number of deaths from cancer attributable to high BMI occurred in Europe, but the fastest-growing age-standardized death rates and disability-adjusted life-years occurred in Southeast Asia. Liver cancer was the fastest-growing cause of cancer mortality (APC: 1.37 %, 95 % CI 1.25 to 1.49 %) attributable to high BMI.
CONCLUSION: The global burden of cancer-related deaths attributable to high BMI has increased substantially from 2010 to 2019. The greatest increase in age-standardized death rates occurred in Southeast Asia, and liver cancer is the fastest-growing cause of cancer mortality attributable to high BMI. Urgent and sustained measures are required at a global and regional level to reverse these trends and slow the growing burden of cancer attributed to high BMI.
AIMS: We evaluated the performance of machine learning (ML) and non-patented scores for ruling out SF among NAFLD/MASLD patients.
METHODS: Twenty-one ML models were trained (N = 1153), tested (N = 283), and validated (N = 220) on clinical and biochemical parameters of histologically-proven NAFLD/MASLD patients (N = 1656) collected across 14 centres in 8 Asian countries. Their performance for detecting histological-SF (≥F2fibrosis) were evaluated with APRI, FIB4, NFS, BARD, and SAFE (NPV/F1-score as model-selection criteria).
RESULTS: Patients aged 47 years (median), 54.6% males, 73.7% with metabolic syndrome, and 32.9% with histological-SF were included in the study. Patients with SFvs.no-SF had higher age, aminotransferases, fasting plasma glucose, metabolic syndrome, uncontrolled diabetes, and NAFLD activity score (p 140) was next best in ruling out SF (NPV of 0.757, 0.724 and 0.827 in overall, test and validation set).
CONCLUSIONS: ML with clinical, anthropometric data and simple blood investigations perform better than FIB-4 for ruling out SF in biopsy-proven Asian NAFLD/MASLD patients.