| Revista: | Revista de investigación clínica |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000452954 |
| ISSN: | 0034-8376 |
| Autores: | Crespo Morfin, Paulina B1 Aguilar Salinas, Carlos A1 Almeda Valdés, Paloma1 Alfaro Pastrana, Raúl3 Bello Chavolla, Omar Y4 Cano Castillo, Jhoana3 Gómez Pérez, Francisco J1 Cruz Bautista, Ivette1 |
| Instituciones: | 1Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Departamento de Endocrinología y Metabolismo, Ciudad de México. México 2Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Departamento de Nutrición, Ciudad de México. México 3Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Unidad de Investigación en Enfermedades Metabólicas, Ciudad de México. México 4Instituto Nacional de Geriatría, División de Investigación, Ciudad de México. México |
| Año: | 2022 |
| Periodo: | Jul-Ago |
| Volumen: | 74 |
| Número: | 4 |
| Paginación: | 193-201 |
| País: | México |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Experimental, aplicado |
| Resumen en inglés | Insulin resistance is key in the pathogenesis of the metabolic syndrome and cardiovascular disease. Objective: We aimed to identify glucose and insulin patterns after a 5-h oral glucose tolerance test (OGTT) in individuals without diabetes and to explore cardiometabolic risk factors, beta-cell function, and insulin sensitivity in each pattern. Methods: We analyzed the 5-h OGTT in a tertiary healthcare center. We identified classes using latent class trajectory analysis and evaluated their association with cardiometabolic risk factors, beta-cell function, and insulin sensitivity surrogates by multinomial logistic regression analysis. Results: We included 1088 5-h OGTT performed between 2013 and 2020 and identified four classes. Class one was associated with normal insulin sensitivity and secretion. Class two showed hyperglycemia, dysinsulinism, and a high-risk cardiometabolic profile (obesity, hypertriglyceridemia, and low high-density lipoprotein [HDL] cholesterol). Class three included older individuals, a higher proportion of males, and a greater prevalence of hypertension, hyperglycemia, hyperinsulinemia, and postprandial hypoglycemia. Finally, class four showed hyperglycemia, dysinsulinism, and hyperinsulinemia; this class had the worst cardiometabolic profile (a high proportion of males, greater age, hypertension, obesity, hypertriglyceridemia, and low HDL cholesterol, p < 0.001 vs. other classes). Conclusions: The latent class analysis approach allows the identification of groups with an adverse cardiometabolic risk factor, and who might benefit from frequent follow-ups and timely multidisciplinary interventions |
| Disciplinas: | Medicina |
| Palabras clave: | Metabolismo y nutrición, Sistema cardiovascular, Diagnóstico, Resistencia a la insulina, Prueba de tolerancia a la glucosa, Riesgo cardiometabólico |
| Keyword: | Metabolism and nutrition, Cardiovascular system, Diagnosis, Glucose tolerance test, Insulin resistance, Cardiometabolic risk |
| Texto completo: | Texto completo (Ver HTML) Texto completo (Ver PDF) |
