Diagnostic accuracy of Triglyceride-Glucose Index for diagnosis of metabolic syndrome in a primary care facility of the San Martin region, Peru. A cross-sectional study.
DOI:
https://doi.org/10.14306/renhyd.28.4.2185Keywords:
Metabolic Syndrome, Blood Glucose, Triglycerides, Routine Diagnostic Tests, ROC CurveAbstract
Introduction. In recent years, multiple studies throughout the world have shown that the Triglyceride Glucose Index has adequate diagnostic performance in patients with metabolic syndrome. The objective of the present study was to determine the usefulness of the Triglyceride Glucose Index for the diagnosis of Metabolic Syndrome in patients treated in a primary care facility in the Peruvian jungle during the period 2022-2023.
Methods: A quantitative, observational, analytical, retrospective, and diagnostic test type design was used. A sample size of 363 patients was calculated, which were divided into two groups according to the presence or absence of metabolic syndrome.
Results: A cut-off point of 8.97 was obtained for ITG values with a sensitivity of 89.5% and a specificity of 64.3% for the diagnosis of metabolic syndrome. The area under the curve (AUC) for ITG was 0.889 (95% CI: 0.851 - 0.922, p<0.005). Additionally, the positive predictive values (82.49%), negative (76.42%) and diagnostic accuracy (80.72%) were calculated. Based on the local prevalence of metabolic syndrome in the studied population, the Fagan normogram was prepared and the positive (2.505) and negative (0.1641) likelihood ratios were obtained, from which the post-test probability was calculated. when the test was positive (82%; 95% CI: 79-86%) and when the test was negative (23%; 95% CI: 17 – 31%).
Conclusions: The present study indicates that the Triglyceride Glucose Index is a reliable diagnostic tool to evaluate the presence of metabolic syndrome in high-risk individuals.
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Copyright (c) 2020 Joseph Alburqueque-Melgarejo, Juan Carlos Roque-Quezada , Horus Michael Virú Flores, Israel Armando Guerra Cuyutupac, Jamee Guerra Valencia, Gabriela del Rosario Quezada Gómez
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