METHODS: A total of 509 patients with MetS were recruited. All were diagnosed by clinicians with ultrasonography-confirmed whether they were patients with NAFLD. Patients were randomly divided into derivation (n=400) and validation (n=109) cohort. To develop the risk score, clinical risk indicators measured at the time of recruitment were built by logistic regression. Regression coefficients were transformed into item scores and added up to a total score. A risk scoring scheme was developed from clinical predictors: BMI ≥25, AST/ALT ≥1, ALT ≥40, type 2 diabetes mellitus and central obesity. The scoring scheme was applied in validation cohort to test the performance.
RESULTS: The scheme explained, by area under the receiver operating characteristic curve (AuROC), 76.8% of being NAFLD with good calibration (Hosmer-Lemeshow χ2 =4.35; P=.629). The positive likelihood ratio of NAFLD in patients with low risk (scores below 3) and high risk (scores 5 and over) were 2.32 (95% CI: 1.90-2.82) and 7.77 (95% CI: 2.47-24.47) respectively. When applied in validation cohort, the score showed good performance with AuROC 76.7%, and illustrated 84%, and 100% certainty in low- and high-risk groups respectively.
CONCLUSIONS: A simple and non-invasive scoring scheme of five predictors provides good prediction indices for NAFLD in MetS patients. This scheme may help clinicians in order to take further appropriate action.
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 subjects who came for a health checkup at a suburban medical facility were recruited for the study. All individuals had clinical assessments, anthropometric measurements, blood tests, and ultrasonography of the liver performed. Those with significant alcohol consumption and history of chronic liver disease were excluded.
RESULTS: Of the 1,621 "health screened" individuals analyzed, 368 (22.7 %) were found to have NAFLD. They comprised Chinese 1,269 (78.3 %), Malay 197 (12.1 %), and Indian 155 (9.6 %). Males and "older" age group ≥45 years had high prevalence rates with the highest in Indian (68.2 %) and Malay (64.7 %) males. Chinese females <45 years had the lowest prevalence of 5.2 %. A significant increase in the prevalence of fatty liver between age <45 years and ≥45 years was seen in female of all three races but in male, this increase was seen only among the Indians. NAFLD was strongly associated with diabetes mellitus, glucose intolerance, body mass index ≥23, low high-density lipoprotein cholesterol, hypertriglyceridemia, and hypertension.
CONCLUSION: NAFLD is common in suburban Malaysian population. Older Indian and Malay males have an inordinately high prevalence of the disease.
Methods: A total of 413 individuals (163 men and 250 women) aged 30-60 years were selected by stratified random sampling. The participants had safe alcohol consumption habits (<2 drinks/day) and no symptoms of hepatitis B and C. NAFLD was diagnosed through ultrasound. Blood pressure, anthropometric, and body composition measurements were made and liver function tests were conducted. Biochemical assessments, including the measurement of fasting blood sugar (FBS) and ferritin levels, as well as lipid profile tests were also performed. Metabolic syndrome was evaluated according to the International Diabetes Federation (IDF) criteria.
Results: The overall prevalence of ultrasound-diagnosed NAFLD was 39.3%. The results indicated a significantly higher prevalence of NAFLD in men than in women (42.3% vs 30.4%; P < 0.05). Binary logistic regression analysis was performed to determine the significant variables as NAFLD predictors. Overall, male gender, high body mass index (BMI), high alanine aminotransferase (ALT), high FBS, and high ferritin were identified as the predictors of NAFLD. The only significant predictors of NAFLD among men were high BMI and high FBS. These predictors were high BMI, high FBS, and high ferritin in women (P < 0.05 for all variables).
Conclusions: The metabolic profile can be used for predicting NAFLD among men and women. BMI, FBS, ALT, and ferritin are the efficient predictors of NAFLD and can be used for NAFLD screening before liver biopsy.
Study design: An observational cross-sectional study.
Methods: The participants were aged between 45 and 75 years who participated in a screening program at the Golden Horses Health Sanctuary in Klang Valley. Lipid profile and anthropometric measurements were collected from the subjects' medical records. Ultrasound machine and a structured self-administered questionnaire were used as instruments for recruiting data from the subjects. The subjects who consumed alcohol (>140 g/wk for men and >70 g/wk for females), had hepatitis B or C viruses, liver insults, and surgery, and taken lipid-lowering medications were excluded from the study.
Results: A total of 628 subjects were analyzed, and 235 (37.4%) subjects were diagnosed with definite NAFLD. They comprised 518 (82.5%) Chinese, 92 (14.6%) Malays, and 18 (2.9%) Indians. Peak prevalence of NAFLD was found in 53 to 60 years age group. The higher prevalence of NAFLD was among men (48.3%) than women (27.3%) and among Indians (61.1%) and Malays (51.1%) than among Chinese (34.2%). NAFLD has been found to be strongly correlated with male sex, high body mass index (≥23.0 kg/m2), hypertriglyceridemia, low high-density lipoprotein cholesterol, diabetes mellitus, and hypertension.
Conclusion: NAFLD is quite common among adults in Malaysian urban population. The prevalence of NAFLD was inordinately high among the 53 to 60 years age group, male sex, Indians, and Malays (as compared with Chinese). Age >60 years, male sex, high body mass index (≥23.0 kg/m2), hypertriglyceridemia, and diabetes mellitus were proven to be risk predictors for NAFLD.
MATERIALS AND METHODS: We performed a retrospective crosssectional study of HCC cases within a five-year period in our center with data collected from Hospital Canselor Tunku Mukhriz (HCTM). This study examines the HCC risk factors, the pattern of diagnosis, treatment options and overall survival.
RESULTS: The findings from this study showed that viral hepatitis was the highest risk factor in which most of the patients were elderly males who presented with abdominal distension. In addition, given the high prevalence of metabolic diseases Malaysia, it is predicted that the number of non-alcoholic steatohepatosis (NASH)-related HCC cases might increase. Alpha-fetoprotein (AFP) proved to have no significant role in the detection of the disease. The number of patients detected at early BCLC was minimal, resulting in limited options of treatment. Overall survival of our HCC patients was poor at 17 months.
CONCLUSION: We conclude that HCC patients in HCTM mostly presented at late stage to hospital, hence limiting the treatment options and resulted in poor survival rate. Disease awareness should be implemented at primary care level to detect HCC at its early stage. Subsequently, a multidisciplinary hospital team is required to manage the disease at its different stages of presentation.
Methods: We enrolled and reviewed 122 biopsy-proven NAFLD patients. Advanced fibrosis was defined as fibrosis stages 3-4. Noninvasive assessments included aspartate aminotransferase/alanine aminotransferase (AST/ALT) ratio, AST-to-platelet ratio index (APRI), AST/ALT ratio, diabetes (BARD) score, fibrosis-4 (FIB-4) score, and NAFLD fibrosis score.
Results: FIB-4 score had the highest area under the receiver operating characteristic curve (AUROC) and negative predictive value (NPV) of 0.86 and 94.3%, respectively, for the diagnosis of advanced fibrosis. FIB-4 score non-alcoholic steatohepatitis (NASH) clinical predictors, such as abnormal gamma-glutamyl transpeptidase (GGT) level and presence diabetes mellitus (DM), could further reduce the number of patients who are unlikely to have advanced fibrosis by 52% and 35%, respectively.
Conclusion: We found that FIB-4 score outperforms other scoring systems based on AUROC and NPV. The use of a simple scoring system such as FIB-4 as first-line triage to risk-stratify NAFLD patients in the primary care setting, with further stratification of those in the indeterminate group using clinical predictors of NASH, can help in the development of a simplified strategy for a public health approach in the management of NAFLD.