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Author Spotlight: Assessing the Cardiovascular Profile of Patients with Metabolic Syndrome
Published on: September 27, 2024
Sex-Specific Cardiometabolic Phenotypes of Metabolic Syndrome Identified by Latent Class Analysis in Indian Adults
Neha Dharmesh Sheth1, Ivvala Anand Shaker2, Jay Ranade3
1Department of Biochemistry, Parul Institute of Medical Sciences and Research, Parul University, Waghodia, Gujarat, India.
Background:
Metabolic syndrome (MetS) encompasses a constellation of cardiometabolic risk factors, yet its phenotypic diversity remains underexplored.
Aim:
The study aimed to identify sex-specific latent phenotypes of MetS using key clinical indicators and to evaluate their association with metabolic risk.
Materials And Methods:
We conducted a latent class analysis among 440 adults aged 20-55 years using five indicators - waist circumference, systolic and diastolic blood pressure (BP), high-density lipoprotein (HDL) cholesterol, and Homeostatic Model Assessment of Insulin Resistance (HOMA-IR). Sex-specific models and sensitivity analyses were used to assess measurement invariance and model robustness.
Results:
A three-class model demonstrated optimal fit (lowest Bayesian Information Criterion, entropy ≥0.99). Class 1 (43%) was predominantly low-risk, with minimal abdominal obesity and no hypertension. Class 2 (23%) represented a hypertensive-adiposity phenotype, characterized by universal elevated waist circumference and systolic hypertension but moderate insulin resistance. Class 3 (35%) was marked by pronounced insulin resistance and dyslipidemia, with high HOMA-IR and triglycerides (TG) despite minimal hypertension. Sex-stratified models fit significantly better than pooled models (G 2 = 130.4, P < 0.001), revealing differential indicator profiles - men showed higher low-HDL prevalence, whereas women exhibited greater diastolic load. Sensitivity analysis collapsing BP indicators confirmed class stability and preserved metabolic gradients. Bolck-Croon-Hagenaars - weighted analysis revealed a stepwise increase in fasting blood sugar and TG across classes.
Conclusion:
Our findings highlight three robust cardiometabolic phenotypes with distinct sex-specific profiles. The hypertensive-adiposity and insulin-resistant classes suggest divergent risk pathways requiring tailored interventions. Even the low-risk group exhibited intermediate lipid elevation, supporting the need for universal lifestyle counseling alongside precision screening strategies.
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