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Índice cardiometabólico como predictor de factores de riesgo cardiovascular en adolescentes
Cardiometabolic index as a predictor of cardiovascular risk factors in adolescents
DOI:
https://doi.org/10.15446/rsap.v20n3.61259Palavras-chave:
Adolescente, dislipidemias, hipertensión (es)Adolescent, dyslipidemia, hypertension (en)
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Objetivo Evaluar la capacidad del Índice Cardiometabólico (ICM) para predecir alteraciones en las concentraciones en ayuno de glucosa, dislipidemia e hipertensión en adolescentes.
Métodos El estudio fue descriptivo, correlacional y transversal. Se evaluaron 278 adolescentes de entre 12 y 15 años. Se determinó las concentraciones de glicemia, triglicéridos, HDL-c y se calculó el índice TG/HDL-c. Se midió el peso, talla y circunferencia de cintura y se determinó el Índice de Masa Corporal, el de conicidad y la relación cintura talla (Rel. CC-T). El producto de la Rel. CC-T y TG/HDL-c constituyó el índice cardiometabólico (ICM). Se determinó la presión arterial.
Resultados El área bajo la curva ROC del ICM como predictor de dislipidemia, hipertensión (HTA) y glucosa alterada en ayunas (GAA) fue de 0,777 (IC 95%=0,712-0,842), 0,710 (IC 95%=0,559-0,853) y 0,564 (IC 95%=0,447-0,682), respectivamente.
Conclusión En la muestra estudiada el ICM mostró capacidad de predecir dislipidemia e HTA, pero no para GAA.
Objective To evaluate the ability of the Cardiometabolic Index (CMI) to predict alterations in fasting glucose concentrations, dyslipidemia and hypertension in adolescents.
Materials and Methods Descriptive, correlational and cross-sectional study. 278 adolescents aged between 12 and 15 years were evaluated. Serum glucose, triglycerides and HDL-C were determined and the TG/HD-C ratio was estimated. Weight, height and waist circumference were measured and body mass index, conicity index and waist-to-height ratio (WHtR) were determined. The product of WHtR and TG/HDL-C was the Cardiometabolic Index (CMI). Blood pressure was determined.
Results The area under the ROC curve of the CMI as a predictor of dyslipidemia, hypertension (AHT) and impaired fasting glucose (IFG) was 0.777 (CI 95% = 0.712 to 0.842), 0.710 (CI 95% = 0.559 to 0.853) and 0.564 (CI 95% = 0.447 to 0.682), respectively.
Conclusion In the studied sample, CMI showed ability to predict dyslipidemia and hypertension, but not IFG.
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