Key result
A diagnostic model combining VLDL-C and SBP detects metabolic syndrome with ~92% sensitivity.
Why the study?
Metabolic syndrome is a significant public health issue in urbanizing regions like the Peruvian Amazon, motivating the development and validation of a simple, cost-effective diagnostic model for early detection.
Does a diagnostic model combining very-low-density lipoprotein cholesterol and systolic blood pressure accurately detect metabolic syndrome in adults in resource-limited urban settings?
Population
251 adults aged over 18 years in San Juan Bautista, Iquitos
Design
Cross-sectional study
Authors
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May aid low-cost screening in resource-limited settings; leaves open prospective validation before adoption.
Cross-Sectional (n=251)
Does a diagnostic model combining very-low-density lipoprotein cholesterol and systolic blood pressure accurately detect metabolic syndrome in adults in resource-limited urban settings?
Effect estimate: Sensitivity 91.6%, Specificity 78.5%
A simple diagnostic model using VLDL cholesterol and systolic blood pressure offers a practical, low-cost tool for early detection of metabolic syndrome in resource-limited urban settings.
Alcaide-Leyva et al. (2025) conducted a cross-sectional in Metabolic syndrome (n=251). Diagnostic model combining very-low-density lipoprotein cholesterol and systolic blood pressure was evaluated on Detection of metabolic syndrome (Sensitivity 91.6%, Specificity 78.5%). A diagnostic model combining very-low-density lipoprotein cholesterol and systolic blood pressure detected metabolic syndrome with a sensitivity of 91.6% and a specificity of 78.5%.
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