Identification of Glucose and Insulin Patterns during A 5-H Glucose Tolerance Test and Association with Cardiometabolic Risk Factors
Rev. invest. clín
; 74(4): 193-201, Jul.-Aug. 2022. tab, graf
Article
in En
|
LILACS-Express
| LILACS
| ID: biblio-1409581
Responsible library:
MX1.1
ABSTRACT
ABSTRACT Background:
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.
Full text:
1
Collection:
01-internacional
Database:
LILACS
Type of study:
Diagnostic_studies
/
Etiology_studies
/
Prognostic_studies
/
Risk_factors_studies
Language:
En
Journal:
Rev. invest. clín
Journal subject:
MEDICINA
Year:
2022
Document type:
Article
Affiliation country:
Mexico