The latest medical research on Gastroenterology

Skeletal muscle is characterized by its mass, strength and performance. These normative values are pivotal in defining sarcopenia. Sarcopenia is associated with poor outcome of numerous medical and surgical conditions. This study aimed to establish normative benchmarks for skeletal muscle mass, strength and performance within the context of the Asian (Indian) population.

Our investigation utilized the computed tomography (CT) skeletal muscle index (SMI), handgrip strength (HGS), gait velocity and chair-stand test to construct reference values for muscle characteristics in the Indian population.

The SMI analysis incorporated 1485 cases of acute abdomen (54.7%) males). The calculated SMI (kg/m2) was 38.50 (35.05-42.30) in males and 36.30 (32.20-41.20) in females (p = 0.510). The study also involved 3083 healthy individuals (67.6% males) evaluated for muscle strength and performance between August 2017 and August 2018. Notably, HGS (kg force) was recorded at 34.95 (26.50-43.30) in males and 25.50 (18.60-31.20) in females (p < 0.001). Gait velocity (metres/second) exhibited values of 1.25 (1.04-1.56) in males and 1.24 (1.03-1.56) in females (p = 0.851). Additionally, chair-stand test (seconds) results were 10.00 (9.00-13.00) in males and 12.00 (10.00-14.00) in females (p < 0.001).

The investigation determined that males had greater muscle strength and performance than females. But gender wise, there was no significant difference in muscle mass. Interestingly, our population's muscle parameters were consistently lower compared to western literature benchmarks. These normative values will help to define sarcopenia parameters in our population, which have prognostic value in multiple ailments.

Nutritional quality of gluten-free (GF) food products is very important, as patients with celiac disease consume these products for lifelong. There is paucity of data on the nutritional content and cost of GF food products compared with their gluten-containing (GC) counterparts from India (Asia).

After a detailed market survey, packaged and labeled GF food products (n=485) and their packaged GC counterparts (n=790) from the supermarkets of Delhi (India) and e-commerce websites were included. Nutritional content and cost/100 g food (in US dollars) were calculated using the information on food label.

Gluten-free food products were 232% (range: 118% to 376%) more expensive than their GC counterparts. Energy content of all GF food products was similar to their GC counterparts, except cereal-based snacks (GF: 445 kcal vs. GC: 510 kcal, p<0.001). The protein content was significantly lower in GF pasta and macaroni products (single-grain: GF: 6.5 g vs. GC:11. 5 g, p-0.002; multigrain: GF:7.6 g vs. GC:11.5 g, p-0.027), cereal flours (single-grain: GF: 7.6 g vs. GC: 12.3 g, p<0.001; multigrain: GF:10.9 g vs. GC: 14.1 g, p-0.009) and nutritional bars (GF: 21.81 g vs. GC:26 g, p-0.028) than their GC counterparts. Similarly, the dietary-fiber content of GF pasta and macaroni products, cereal flours, cereal premix and nutritional bars of GF foods was significantly lower than their GC counterparts. Gluten-free bread and confectionary items, biscuits and cookies and snacks had higher total fats and trans-fat content than their GC counterparts. Gluten-free cereal-based snacks had higher sodium content than their GC counterparts (GF: 820 mg vs. GC:670 mg; p<0.001).

GF foods are significantly more expensive, contain less protein and dietary fiber and higher fat, trans-fat and sodium than their GC counterparts. Strategies must be developed to reduce the cost and improve the nutritional profile of GF foods.

A new term, metabolic dysfunction-associated steatotic liver disease(MASLD), has been proposed by a multi-society expert panel. However, it remains unclear whether hepatic steatosis per se in MASLD contributes to an increased risk of mortality in individuals with any cardio-metabolic risk factor(CMRF), which are also significant risk factors for increased mortality. This study aimed to compare all-cause and cause-specific mortality between the 'MASLD/MetALD' and 'no steatotic liver disease(SLD)' groups in individuals with any CMRF.

A population-based cohort study was conducted using 10,750 participants of NHANES III. All-cause and cause-specific(cardiovascular, cancer, diabetes, and liver) mortality risks were compared between the 'MASLD', 'MetALD', and 'no SLD' groups using the Cox proportional hazards model with complex survey design weights, adjusted for confounders. Over 26 years, the 'MASLD' group did not show significantly increased all-cause(adjusted hazard ratio 1.04[95% confidence interval 0.95-1.14], p=0.413), cardiovascular(0.88[0.75-1.04], p=0.139), or cancer(1.06[0.84-1.33], p=0.635) mortality risk compared to the 'no SLD' group in individuals with any CMRF. The MetALD group was associated with increased all-cause(1.41 [1.05-1.89], p=0.022), cancer(2.35[1.33-4.16], p=0.004) and liver(15.04[2.96-76.35], p=0.002) mortality risk compared with the no SLD group. This trend was more pronounced in MetALD group with advanced fibrosis assessed by FIB-4.

In individuals with CMRF, the presence of steatotic liver disease (MASLD) alone did not increase the risk of mortality, except in cases with more alcohol consumption (MetALD). Therefore controlling metabolic risk factors and reducing alcohol consumption in people with MASLD or MetALD will be crucial steps to improve long-term health outcomes.

The National Health and Nutrition Examination Survey (NHANES) underestimates the true prevalence of hepatitis C virus (HCV) infection. By accounting for populations inadequately represented in NHANES, we created two models to estimate the national hepatitis C prevalence among US adults during 2017-2020.

The first approach (NHANES+) replicated previous methodology by supplementing hepatitis C prevalence estimates among the US noninstitutionalized civilian population with a literature review and meta-analysis of hepatitis C prevalence among populations not included in the NHANES sampling frame. In the second approach (persons who inject drugs [PWID] adjustment), we developed a model to account for underrepresentation of PWID in NHANES by incorporating the estimated number of adult PWID in the United States and applying PWID-specific hepatitis C prevalence estimates. Using the NHANES+ model, we estimated HCV RNA prevalence of 1.0% (95% confidence interval [CI]: 0.5%-1.4%) among US adults in 2017-2020, corresponding to 2,463,700 (95% CI: 1,321,700-3,629,400) current HCV infections. Using the PWID adjustment model, we estimated HCV RNA prevalence of 1.6% (95% CI: 0.9%-2.2%), corresponding to 4,043,200 (95% CI: 2,401,800-5,607,100) current HCV infections.

Despite years of an effective cure, estimated prevalence of hepatitis C in 2017-2020 remains unchanged from 2013-2016 when using comparable methodology. When accounting for increased injection drug use, estimated prevalence of hepatitis C is substantially higher than previously reported. National action is urgently needed to expand testing, increase access to treatment, and improve surveillance, especially among medically underserved populations, to support hepatitis C elimination goals.