Prevalence and Association of Risk Factors According to Liver Steatosis and Fibrosis Stages among Nonalcoholic Fatty Liver Disease Patients with Type 2 Diabetes Mellitus in India: A Cross-sectional Study.

INTRODUCTION: Type 2 diabetes mellitus (T2DM) and nonalcoholic fatty liver disease (NAFLD) are linked to the global diabetes epidemic, leading to increased disease progression and adverse health outcomes. The renaming of NAFLD to metabolic dysfunction-associated steatotic liver disease (MASLD) at the 2023 European Association for the Study of the Liver Congress highlights the complex relationship between metabolic disorders and liver health. Taking this into consideration, we aimed this study to identify prevalence and risk factors associated with the stages of NAFLD in individuals with T2DM in the Indian population. MATERIALS AND METHODS: This observational, cross-sectional study was conducted on 1,521 T2DM patients at Dr Panikar's Speciality Care Centre, Mumbai, between September 1, 2022 and October 31, 2022. Demographic parameters such as age, gender, height, weight, and anthropometric parameters such as body mass index (BMI) and waist circumference were measured. Liver fibrosis and steatosis stages were identified by vibration-controlled transient elastography (VCTE) using FibroScan®. RESULTS: The prevalence of liver steatosis was 75.1% among the 1,521 diabetes cases [S0 (24.9%), S1 (15.1%), S2 (24%), and S3 (36%)], whereas the prevalence of liver fibrosis was 28.0% [F0 (72%), F1 (19%), F2 (5%), F3 (1.5%), and F4 (3.4%)]. The S1 (p = 0.012), S3 (p = 0.001), F1 (p = 0.001), and F2 (p = 0.001) grades showed significant gender-related changes, demonstrating a positive connection. Furthermore, waist circumference was associated with disease severity in both liver steatosis and fibrosis stages (p = 0.001), but BMI was solely associated with the degree of steatosis (p = 0.001). The mean age differences between these categories, however, did not reach statistical significance (p-values of 0.149 and 0.078, respectively, for the steatosis and fibrosis grades). CONCLUSION: The study reveals a high prevalence of NAFLD (steatosis and fibrosis) in T2DM patients, increasing the risk of advanced fibrosis. In T2DM patients with risk factors including waist circumference and BMI, appropriate screening and intervention are required.

Evolution of Metabolic Syndrome in Newly Diagnosed Type 2 Diabetes Mellitus Asian-Indian Patients Over the Last 15 Years using Adult Treatment Panel III of the National Cholesterol Education Program, World Health Organization, and International Diabetes Federation Criterion.

AIM: A retrospective observational study was undertaken to assess the changing trends in the incidence of metabolic syndrome (MetS) in Asian-Indian patients with newly diagnosed type 2 diabetes (T2D) using Adult Treatment Panel III of the National Cholesterol Education Program (NCEP-ATP III), World Health Organization (WHO), and the International Diabetes Federation (IDF) criteria. The overall and gender-wise pattern of MetS and its components were also evaluated. MATERIALS AND METHODS: Newly diagnosed T2D patients (n = 10,950)visiting Dr Panikar's Diabetes Care Centre from 2004 to 2019 with retrievable electronic medical records were selected. The incidence of MetS in these patients was studied using NCEP-ATP III, WHO, and IDF criteria in three separate timelines, namely, group I (2004-2008), group II (2009-2013), and group III (2014-2019). Overall and gender-wise, the incidence of various components of the MetS was also studied and compared across the three groups. All data were analyzed by using the Statistical Software Statistical Package for the Social Sciences (SPSS) version 10.0. Continuous variables were summarized by the number of observations (mean, standard deviation or median with minimum and maximum) and categorical values (calculating frequencies with percentages). Chi-square was used to estimate the incidence of MetS using different criteria and gender-wise patterns of the MetS components for the three periods. Other variables, such as mean body mass index (BMI), were assessed by applying variance analysis (ANOVA test). All values were reported based on a two-sided ANOVA test, and all the statistical tests were interpreted at a 5% level of significance. RESULTS: In the current study, the overall incidence of MetS observed among the study population was 80.9, 65.4, and 69.8% using NCEP-ATP III, WHO, and IDF criteria, respectively. The incidence of MetS across the three timelines (i.e., from 2004 to 2019) with all the diagnostic criteria showed a steady increase. An analysis of the individual components of MetS revealed a high incidence of central obesity across all subgroups, followed by hypertension and dyslipidemia. Central obesity was prevalent in nearly 85.9% of patients in 2014-2019 vs 78.6% in the 2004-2008 subgroup. Similarly, the incidence of hypertension and overall dyslipidemia [i.e., high triglycerides (TGs) and low high-density lipoprotein-cholesterol (HDL-C)] was 77.8% and 68.2% in the former vs 67.9% and 59.6% in the latter, respectively. The incidence of all three MetS components, along with fasting sugar, showed a statistically significant and progressive increase over the years, with prevalence in group III (2014-2019) being the highest. Women were found to be more centrally obese and more dyslipidemic compared to men, whereas men were found to be more hypertensive. CONCLUSION: The study shows a high incidence of MetS in Asian-Indian patients with newly diagnosed T2D. The incidence of MetS was significantly higher with the NCEP-ATP III diagnostic criteria than with WHO and IDF criteria. A steady rise in the incidence of MetS was observed over the study period of 2004-2019. Among the components of MetS, the incidence of central obesity, elevated TG levels, and low HDL-C were found to be higher in the female population than in males, whereas the incidence of hypertension was higher in males. Stringent lifestyle measures, along with appropriate pharmacological management, might help mitigate the risks associated with MetS.