Deparments of Endocrinology and Metabolism, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán (INCMNSZ), Mexico City, Mexico.
Deparment of Nutrition, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán (INCMNSZ), Mexico City, Mexico.
Rev Invest Clin. 2022 Jul 1;74(4):193-201. doi: 10.24875/RIC.22000039.
Insulin resistance is key in the pathogenesis of the metabolic syndrome and cardiovascular disease.
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.
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.
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).
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.
胰岛素抵抗是代谢综合征和心血管疾病发病机制中的关键。
我们旨在确定无糖尿病个体在 5 小时口服葡萄糖耐量试验(OGTT)后的血糖和胰岛素模式,并探讨每种模式的心脏代谢危险因素、β细胞功能和胰岛素敏感性。
我们分析了三级医疗中心的 5 小时 OGTT。我们使用潜在类别轨迹分析来识别类别,并通过多项逻辑回归分析评估它们与心脏代谢危险因素、β细胞功能和胰岛素敏感性替代物的关联。
我们纳入了 2013 年至 2020 年期间进行的 1088 次 5 小时 OGTT,并确定了四个类别。第一类与正常的胰岛素敏感性和分泌有关。第二类表现为高血糖、胰岛素分泌不足和高心脏代谢风险特征(肥胖、高三酰甘油血症和低高密度脂蛋白胆固醇)。第三类包括年龄较大的个体,男性比例较高,高血压、高血糖、高胰岛素血症和餐后低血糖的患病率较高。最后,第四类表现为高血糖、胰岛素分泌不足和高胰岛素血症;该类别具有最差的心脏代谢特征(男性比例较高、年龄较大、高血压、肥胖、高三酰甘油血症和低高密度脂蛋白胆固醇,p < 0.001 与其他类别相比)。
潜在类别分析方法可以识别出具有不良心脏代谢危险因素的人群,这些人群可能需要频繁随访和及时的多学科干预。