Caracterización del Síndrome metabólico en diabéticos tipo 2 atendidos en el Centro Provincial de Pinar del Río

Introduction: Metabolic Syndrome is a serious problem, increasing its incidence, associated with Diabetes Mellitus.Objective: To characterise the Metabolic Syndrome in type 2 diabetic patients in the Diabetic Care Centre of Pinar Del Rio in the period January-September 2020.Methods: An observational, descriptive, cross-sectional, descriptive study was carried out in the Diabetic Care Centre of Pinar Del Rio, January-September 2021. The universe consisted of 88 patients with type 2 diabetes mellitus and the sample consisted of 44. The information extracted from the medical records was processed using SPSS version 22, calculating frequencies and the chi-squared test (X2), which was significant if p<0.05. Metabolic syndrome was diagnosed using NCEP-ATP III criteria.Results: Metabolic syndrome was diagnosed in 70,45 % of patients, predominantly female (67,74 %) and aged between 60 and 69 years, with a preponderance of type 2 diabetic patients, predominantly postmenopausal women. Arterial Hypertension, abdominal obesity and elevated triglycerides were the most frequent components and uric acid and Aspartate Amino Transferase, the highest biochemical parameters.Conclusions: Metabolic syndrome appears frequently in patients with type 2 diabetes mellitus with elevated parameters such as uric acid and ASAT.Introducción: el Síndrome Metabólico es un problema grave, incrementándose su incidencia, asociado a la Diabetes Mellitus. Objetivo: caracterizar el Síndrome Metabólico en pacientes diabéticos tipo 2 en el Centro de Atención al Diabético de Pinar Del Rio en el período enero -septiembre 2020. Métodos: se realizó un estudio observacional, descriptivo, corte transversal en el Centro de Atención al Diabético de Pinar Del Rio, enero-septiembre 2021. El universo estuvo conformado por 88 pacientes con Diabetes Mellitus tipo 2 y la muestra de manera intencional por 44. La información extraída de las historias clínicas fue procesada empleando el programa SPSS versión 22, calculando frecuencias y la prueba Ji cuadrado (X2),significativa si p