1. Clusters and components of metabolic syndrome (MeS) as a predictor for fatty liver: A cross-sectional study
- Author
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Varanasi Yugandar Bhargav, Mayank Jain, Tom Alen, Chandan Kumar Kedarisetty, Preetam Arthur, Mu Karthikeyan, Thamarai S Selvan, and Jayanthi Venkataraman
- Subjects
chronic hepatitis ,fatty liver ,fibrosis ,insulin resistance ,non-alcoholic fatty liver disease ,Diseases of the endocrine glands. Clinical endocrinology ,RC648-665 - Abstract
Aim: Metabolic syndrome (MeS) refers to metabolic risk factors with different phenotype combinations. The study aim was to determine the clusters of MeS components by age and gender as predictors for the presence of fatty liver (FL). Materials and Methods: The cohort consisted of 990 subjects, undergoing executive health check between January 2019 and February 2020. Baseline data, anthropometric parameters, and ultrasound findings were noted. Patients with normal ultrasound were categorized as group 1 and those with FL as group 2. MeS is defined and clustered and risk of predicting FL was analyzed in age and gender. Results: Of the 990 subjects, 689 (69.6%) had FL (group 2); 554 patients (56%) were >45 years. Females had significant grade 1 (P < 0.05) and grade 2 (P < 0.01) FL, ≥45 years, and MeS of three or more components in FL, both above (P < 0.01) and below (P < 0.03) 45 years of age. Waist circumference (WC), diabetes mellitus (DM) with hypertension, triglyceride, and high-density lipoprotein (cluster 3) were statistically significant in males, both 45 years of age (P < 0.001); in females, the same cluster was statistically significant only for >45 years (P
- Published
- 2021
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