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Please use this identifier to cite or link to this item: http://repositorio.insp.mx:8080/jspui/handle/20.500.12096/8332
Title: Clinical and metabolomic predictors of regression to normoglycemia in a population at intermediate cardiometabolic risk
Keywords: Adult Age Factors Biomarkers / blood Blood Glucose / metabolism* Body Mass Index Cardiometabolic Risk Factors Diabetes Mellitus, Type 2 / blood* Diabetes Mellitus, Type 2 / diagnosis Diabetes Mellitus, Type 2 / epidemiology Disease Progression Female Glucose Intolerance / blood* Glucose Intolerance / diagnosis Glucose Intolerance / epidemiology Humans Magnetic Resonance Spectroscopy Male Metabolic Syndrome / blood* Metabolic Syndrome / diagnosis Metabolic Syndrome / epidemiology Metabolome Metabolomics Mexico / epidemiology Middle Aged Prospective Studies Risk Assessment Time Factors nan
Issue Date: 2021
Publisher: BioMed Central
Abstract: Abstract Background: Impaired fasting glucose (IFG) is a prevalent and potentially reversible intermediate stage leading to type 2 diabetes that increases risk for cardiometabolic complications. The identification of clinical and molecular factors associated with the reversal, or regression, from IFG to a normoglycemia state would enable more efficient cardiovascular risk reduction strategies. The aim of this study was to identify clinical and biological predictors of regression to normoglycemia in a non-European population characterized by high rates of type 2 diabetes. Methods: We conducted a prospective, population-based study among 9637 Mexican individuals using clinical features and plasma metabolites. Among them, 491 subjects were classified as IFG, defined as fasting glucose between 100 and 125 mgdL at baseline. Regression to normoglycemia was defined by fasting glucose less than 100 mgdL in the follow-up visit. Plasma metabolites were profiled by Nuclear Magnetic Resonance. Multivariable cox regression models were used to examine the associations of clinical and metabolomic factors with regression to normoglycemia. We assessed the predictive capability of models that included clinical factors alone and models that included clinical factors and prioritized metabolites. Results: During a median follow-up period of 2.5 years, 22.6 of participants (n 111) regressed to normoglycemia, and 29.5 progressed to type 2 diabetes (n 145). The multivariate adjusted relative risk of regression to normoglycemia was 1.10 (95 confidence interval [CI] 1.25 to 1.32) per 10 years of age increase, 0.94 (95 CI 0.91-0.98) per 1 SD increase in BMI, and 0.91 (95 CI 0.88-0.95) per 1 SD increase in fasting glucose. A model including information from age, fasting glucose, and BMI showed a good prediction of regression to normoglycemia (AUC 0.73 (95 CI 0.66-0.78). The improvement after adding information from prioritized metabolites (TG in large HDL, albumin, and citrate) was non-significant (AUC 0.74 (95 CI 0.68-0.80), p value 0.485).
URI: file:///C:/Users/atalani.REDINSP/Downloads/s12933-021-01246-1.pdf
https://doi.org/10.1186/s12933-021-01246-1.
http://repositorio.insp.mx:8080/jspui/handle/20.500.12096/8332
ISSN: 1475-2840
Appears in Collections:Artículos

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