ABDA Score: A Non-invasive Model to Identify Subjects with Fibrotic Non-alcoholic Steatohepatitis in the Community.

Background: Non-alcoholic fatty liver disease and non-alcoholic steatohepatitis (NASH) are prevalent in the community, especially among those with metabolic syndrome. Patients with fibrotic NASH are at increased risk of liver-related-events. Currently available non-invasive tests have not been utilized for screening for fibrotic NASH among the community. We aimed to develop a screening tool for fibrotic NASH among community members. Methods: We included two large cohorts aimed at assessing cardiovascular disease among community members. Fibrotic NASH was defined using the FibroScan-aspartate aminotransferase score of ≥0.67 that identifies ≥F2 fibrosis and a non-alcoholic fatty liver disease activity score ≥4 with a specificity of 90%. Metabolic parameters, biochemical tests and anthropometry were used to develop a multivariate model. Results: The derivation cohort (n = 1660) included a population with a median age 45 years, 42.5% males, metabolic syndrome in 66% and 2.7% (n = 45) with fibrotic NASH. Multivariate analysis identified the four significant variables (Age, body mass index , Diabetes and alanine aminotransferas levels) used to derive an ABDA score. The score had high diagnostic accuracy (the area under receiver-operating characteristic curve, 0.952) with adequate internal validity. An ABDA score ≥-3.52 identified fibrotic NASH in the derivation cohort with a sensitivity and specificity of 88.9% and 88.3%. The score was validated in a second cohort (n = 357) that included 21 patients (5.9%) with fibrotic NASH, where it demonstrated a high area under receiver-operating characteristic curve (0.948), sensitivity (81%) and specificity (89.3%). Conclusions: ABDA score utilizes four easily available parameters to identify fibrotic NASH with high accuracy in the community.

Rural-Urban differentials in prevalence, spectrum and determinants of Non-alcoholic Fatty Liver Disease in North Indian population.

BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) is a spectrum of disease ranging from simple steatosis, non-alcoholic steatohepatitis (NASH), through to advanced fibrosis and cirrhosis. We assessed the prevalence, spectrum, and determinants of NAFLD among adults in urban and rural North India. METHODS: A representative sample of adults aged 30-60 years were recruited from urban Delhi and rural Ballabhgarh during 2017-2019. Participants underwent abdominal ultrasonography (USG) and vibration controlled transient elastography (VCTE) with FibroScan to assess fatty liver and fibrosis, respectively. We estimated the age- and sex-standardised prevalence of NAFLD and its spectrum. The factors associated with 'ultrasound-diagnosed NAFLD' were identified using multivariate logistic regression. RESULTS: A total of 828 urban (mean ± SD age: 45.5 ± 8.0 years; women: 52.7%) and 832 rural (mean ± SD age: 45.1 ± 7.9 years; women: 62.4%) participants were recruited. The age- and sex-standardized prevalence of ultrasound-diagnosed NAFLD was 65.7% (95%CI: 60.3-71.2) in the urban and 61.1% (55.8-66.5) in the rural areas, respectively. The prevalence of NAFLD with elevated alanine transaminase (≥40IU/L) was 23.2% (19.8-26.6), and 22.5% (19.0-26.0) and any fibrosis by liver stiffness measurement on transient elastography (≥6.9 kPa) was 16.5% (13.8-19.8) and 5.2% (3.8-6.7) in urban and rural participants, respectively. In both urban and rural areas, diabetes, central obesity and insulin resistance were significantly associated with NAFLD. CONCLUSION: NAFLD prevalence was high among rural and urban North Indian adults, including fibrosis or raised hepatic enzymes. The strong association of metabolic determinants confirms its linkage with metabolic syndrome.

Prevalence and correlates of household food insecurity in Delhi and Chennai, India.

India is home to nearly 200 million undernourished people, yet little is known about the characteristics of those experiencing food insecurity, especially among urban households. The objectives of this study were: (1) to report the prevalence of food insecurity in two large, population-based representative samples in urban India, (2) to describe socio-economic correlates of food insecurity in this context, and (3) to compare the dietary intake of adults living in food insecure households to that of adults living in food secure households. Data are from 4334 households participating in an ongoing population-based cohort study of a representative sample of Delhi and Chennai, India. The most recent wave of data (2017-2018) were analysed. Food insecurity was measured using the 9-item Household Food Insecurity Access Scale (HFIAS) and dietary intake using a 33-item semi-quantitative food frequency questionnaire. The overall prevalence of food insecurity was 8.5% (95% confidence interval [CI], 6.8-10.2); 15.2% (95% CI 12.0-18.4) of the poorest households (lowest wealth index tertile) were food insecure compared to 1.7% (95% CI 1.0-2.3) of the wealthiest households (highest wealth index tertile). Participants experiencing food insecurity were significantly younger and more likely to be from Delhi compared to Chennai. After adjustment for socio-economic factors (city, age, sex, education, wealth index, fuel used for cooking, and source of drinking water), participants experiencing food insecurity had significantly higher meat, poultry, roots and tubers (potato), and sugar sweetened beverage intakes, and lower vegetables, fruit, dairy, and nut intakes. Food insecurity is highly prevalent among the poorest households in urban India and is associated with intake of a number of unhealthy dietary items.

Is the "South Asian Phenotype" Unique to South Asians?: Comparing Cardiometabolic Risk Factors in the CARRS and NHANES Studies.

BACKGROUND: In the context of rising obesity in South Asia, it is unclear whether the "South Asian phenotype"(described as high glucose, low high-density lipoprotein cholesterol, and high triglycerides at normal ranges of body weight) continues to be disproportionately exhibited by contemporary South Asians relative to other race/ethnic groups. OBJECTIVES: We assessed the distinctiveness of the South Asian cardiometabolic profile by comparing the prevalence of combined high glucose, high triglycerides, and low high-density lipoprotein cholesterol (combined dysglycemia and dyslipidemia) in resident South Asians with 4 race/ethnic groups in the United States (Asians, black persons, Hispanics, and white persons) overall and by body mass index (BMI) category. METHODS: South Asian data were from the 2010 to 2011 Center for Cardiometabolic Risk Reduction in South Asia Study, representative of Chennai and New Delhi, India and Karachi, Pakistan. U.S. data were from the 2011 to 2012 National Health and Nutrition Examination Survey, representative of the U.S. POPULATION: Combined dysglycemia and dyslipidemia was defined as fasting blood glucose ≥126 mg/dl and triglyceride/high-density lipoprotein cholesterol ratio >4. Logistic regression was used to estimate the relative odds and 95% confidence intervals of combined dysglycemia and dyslipidemia associated with each race/ethnic group (referent, U.S. white persons). Models were estimated among adults aged 20 to 79 years by sex and BMI category and accounted for age, education, and tobacco use. Data from 8,448 resident South Asians, 274 U.S. Asians, 404 U.S. black persons, 308 U.S. Hispanics, and 703 U.S. white persons without previously known diabetes were analyzed. RESULTS: In the normal body weight range of BMI 18.5 to 24.9 kg/m(2), the prevalence of combined dysglycemia and dyslipidemia among men and women, respectively, was 33% and 11% in resident South Asians, 15% and 1% in U.S. Asians, 5% and 2% in U.S. black persons, 11% and 2% in U.S. Hispanics, and 8% and 2% in U.S. white persons. Compared with U.S. whites persons, South Asians were more likely to present with combined dysglycemia and dyslipidemia at all categories of BMI for men and at BMI 18.5 to 29.9 for women in adjusted models. The most pronounced difference between South Asians and U.S. white persons was observed at normal weight (adjusted odds ratio: 4.98; 95% confidence interval: 2.46 to 10.07 for men) (adjusted odds ratio: 9.09; 95% confidence interval: 2.48 to 33.29 for women). CONCLUSIONS: Between 8% and 15% of U.S. men and 1% and 2% of U.S. women of diverse race/ethnic backgrounds exhibited dysglycemia and dyslipidemia at levels of body weight considered "healthy," consistent with the cardiometabolic profile described as the "South Asian Phenotype." Urban South Asians, however, were 5 to 9 times more likely to exhibit dysglycemia and dyslipidemia in the "healthy" BMI range compared with any other U.S. race/ethnic group.