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Metabolic syndrome is a clustering of risk factors that greatly increases an individual’s probability for developing atherosclerotic cardiovascular disease, type 2 diabetes mellitus and chronic kidney disease. Primary aim of this study is to estimate the prevalence of metabolic syndrome in Non-alcoholic fatty liver disease patients and classifying the level of steatosis based on the ultrasound. The subjects screened for study participation came from Department of Master Health checkup, Sri Ramachandra Medical Centre - Chennai. Sample size was calculated using Epi software and the confidence interval 95%. Totally 136 patients participated in this study with the duration of 6-months.Metabolic syndrome was present in 106 patients which satisfy National Cholesterol Education Program, Adult Treatment Panel-III criteria. The association between development of metabolic syndrome and non-alcoholic fatty liver disease is statistically significant (p0.05). Finding shows that males (71) are more prone to metabolic syndrome when compared to the females (35).Metabolic syndrome was found to be more prevalent in non alcoholic fatty liver disease patients. Prevalence of metabolic syndrome is significantly higher in male patients when compared to female patients. When the separate components of metabolic syndrome were analyzed, it was found that non alcoholic fatty liver disease is closely associated with marked metabolic derangements.
"Prevalence of Metabolic Syndrome In Non-Alcoholic Fatty Liver Disease And Its Treatment Approaches ", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 4, page no.421 - 430, April-2023, Available :http://www.ijrti.org/papers/IJRTI2304069.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator