Abstract

Objectives: To determine the diagnostic performance of the lipid accumulation product (LAP), visceral adiposity index (VAI), triglyceride and glucose index (TyG) and body mass index (BMI) for metabolic syndrome (MetS) in a sample of Peruvian adults. Methodology: Study of diagnostic tests of the “National Survey on Nutritional, Biochemical, Socioeconomic, and Cultural Indicators related with Chronic Degenerative Diseases”. An analysis of ROC curves (Receptor Operation) was made, and their respective area under the curve (AUC) obtaining the different parameters such as sensitivity (Sens) and specificity (Spe). It was stratified according to sex and according to age. To choose the cut-off point, the Youden index was used. Results: The LAP had the highest AUC in both men (AUC = 0.929; cut-off value = 59.85; Sens = 91.6 and Spe = 84.5) and for women (AUC = 0.950; cut-off value = 53, 06; Sens = 92.4 and Spe = 86.4). The second place, in the case of men, was occupied by the VAI (AUC = 0.905; cut-off value = 2.36; Sens = 91.6 and Spe = 79.7), while in the case of women it was the TyG (AUC = 0.914; cut-off value = 8.70; Sens = 87.4 and Spe = 87.3). The LAP index showed significant differences with VAI to predict MetS (p < 0.05), while no differences were shown with TyG. Conclusion: The LAP index had the best diagnostic performance for MetS, both for men and women, regardless of age.

Highlights

  • It was strati ed according to sex and according to age

  • El lipid accumulation product (LAP) ocupó el segundo lugar como predictor diagnóstico para síndrome metabólico (SMet) en varones, y tercero para mujeres, por detrás del triglyceride and glucose index (TyG)

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Summary

Introduction

Es importante encontrar indicadores más simples para detectar SMet. Los que han mostrado un buen rendimiento diagnóstico son el índice de triglicéridos y glucosa (TyG)(11,14) ; y los índices de acumulación lipídica, como el producto de acumulación de lípidos (LAP) y el índice de adiposidad visceral (VAI). El objetivo del presente estudio es determinar el rendimiento diagnóstico del LAP, VAI, TyG e IMC para SMet con rmado en una muestra de pobladores adultos peruanos.

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