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Prediction of Diabetes Based on Baseline Metabolic Characteristics in Individuals at High Risk

OBJECTIVE: Individuals with impaired glucose tolerance (IGT) are at high risk for developing type 2 diabetes mellitus (T2DM). We examined which characteristics at baseline predicted the development of T2DM versus maintenance of IGT or conversion to normal glucose tolerance. RESEARCH DESIGN AND METHO...

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Autores principales: DeFronzo, Ralph A., Tripathy, Devjit, Schwenke, Dawn C., Banerji, MaryAnn, Bray, George A., Buchanan, Thomas A., Clement, Stephen C., Henry, Robert R., Kitabchi, Abbas E., Mudaliar, Sunder, Ratner, Robert E., Stentz, Frankie B., Musi, Nicolas, Reaven, Peter D., Gastaldelli, Amalia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Diabetes Association 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3816921/
https://www.ncbi.nlm.nih.gov/pubmed/24062330
http://dx.doi.org/10.2337/dc13-0520
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author DeFronzo, Ralph A.
Tripathy, Devjit
Schwenke, Dawn C.
Banerji, MaryAnn
Bray, George A.
Buchanan, Thomas A.
Clement, Stephen C.
Henry, Robert R.
Kitabchi, Abbas E.
Mudaliar, Sunder
Ratner, Robert E.
Stentz, Frankie B.
Musi, Nicolas
Reaven, Peter D.
Gastaldelli, Amalia
author_facet DeFronzo, Ralph A.
Tripathy, Devjit
Schwenke, Dawn C.
Banerji, MaryAnn
Bray, George A.
Buchanan, Thomas A.
Clement, Stephen C.
Henry, Robert R.
Kitabchi, Abbas E.
Mudaliar, Sunder
Ratner, Robert E.
Stentz, Frankie B.
Musi, Nicolas
Reaven, Peter D.
Gastaldelli, Amalia
author_sort DeFronzo, Ralph A.
collection PubMed
description OBJECTIVE: Individuals with impaired glucose tolerance (IGT) are at high risk for developing type 2 diabetes mellitus (T2DM). We examined which characteristics at baseline predicted the development of T2DM versus maintenance of IGT or conversion to normal glucose tolerance. RESEARCH DESIGN AND METHODS: We studied 228 subjects at high risk with IGT who received treatment with placebo in ACT NOW and who underwent baseline anthropometric measures and oral glucose tolerance test (OGTT) at baseline and after a mean follow-up of 2.4 years. RESULTS: In a univariate analysis, 45 of 228 (19.7%) IGT individuals developed diabetes. After adjusting for age, sex, and center, increased fasting plasma glucose, 2-h plasma glucose, ∆G(0–120) during OGTT, HbA(1c), adipocyte insulin resistance index, ln fasting plasma insulin, and ln ∆I(0–120), as well as family history of diabetes and presence of metabolic syndrome, were associated with increased risk of diabetes. At baseline, higher insulin secretion (ln [∆I(0–120)/∆G(0–120)]) during the OGTT was associated with decreased risk of diabetes. Higher β-cell function (insulin secretion/insulin resistance or disposition index; ln [∆I(0–120)/∆G(0–120) × Matsuda index of insulin sensitivity]; odds ratio 0.11; P < 0.0001) was the variable most closely associated with reduced risk of diabetes. CONCLUSIONS: In a stepwise multiple-variable analysis, only HbA(1c) and β-cell function (ln insulin secretion/insulin resistance index) predicted the development of diabetes (r = 0.49; P < 0.0001).
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spelling pubmed-38169212014-11-01 Prediction of Diabetes Based on Baseline Metabolic Characteristics in Individuals at High Risk DeFronzo, Ralph A. Tripathy, Devjit Schwenke, Dawn C. Banerji, MaryAnn Bray, George A. Buchanan, Thomas A. Clement, Stephen C. Henry, Robert R. Kitabchi, Abbas E. Mudaliar, Sunder Ratner, Robert E. Stentz, Frankie B. Musi, Nicolas Reaven, Peter D. Gastaldelli, Amalia Diabetes Care Original Research OBJECTIVE: Individuals with impaired glucose tolerance (IGT) are at high risk for developing type 2 diabetes mellitus (T2DM). We examined which characteristics at baseline predicted the development of T2DM versus maintenance of IGT or conversion to normal glucose tolerance. RESEARCH DESIGN AND METHODS: We studied 228 subjects at high risk with IGT who received treatment with placebo in ACT NOW and who underwent baseline anthropometric measures and oral glucose tolerance test (OGTT) at baseline and after a mean follow-up of 2.4 years. RESULTS: In a univariate analysis, 45 of 228 (19.7%) IGT individuals developed diabetes. After adjusting for age, sex, and center, increased fasting plasma glucose, 2-h plasma glucose, ∆G(0–120) during OGTT, HbA(1c), adipocyte insulin resistance index, ln fasting plasma insulin, and ln ∆I(0–120), as well as family history of diabetes and presence of metabolic syndrome, were associated with increased risk of diabetes. At baseline, higher insulin secretion (ln [∆I(0–120)/∆G(0–120)]) during the OGTT was associated with decreased risk of diabetes. Higher β-cell function (insulin secretion/insulin resistance or disposition index; ln [∆I(0–120)/∆G(0–120) × Matsuda index of insulin sensitivity]; odds ratio 0.11; P < 0.0001) was the variable most closely associated with reduced risk of diabetes. CONCLUSIONS: In a stepwise multiple-variable analysis, only HbA(1c) and β-cell function (ln insulin secretion/insulin resistance index) predicted the development of diabetes (r = 0.49; P < 0.0001). American Diabetes Association 2013-11 2013-10-15 /pmc/articles/PMC3816921/ /pubmed/24062330 http://dx.doi.org/10.2337/dc13-0520 Text en © 2013 by the American Diabetes Association. Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered. See http://creativecommons.org/licenses/by-nc-nd/3.0/ for details.
spellingShingle Original Research
DeFronzo, Ralph A.
Tripathy, Devjit
Schwenke, Dawn C.
Banerji, MaryAnn
Bray, George A.
Buchanan, Thomas A.
Clement, Stephen C.
Henry, Robert R.
Kitabchi, Abbas E.
Mudaliar, Sunder
Ratner, Robert E.
Stentz, Frankie B.
Musi, Nicolas
Reaven, Peter D.
Gastaldelli, Amalia
Prediction of Diabetes Based on Baseline Metabolic Characteristics in Individuals at High Risk
title Prediction of Diabetes Based on Baseline Metabolic Characteristics in Individuals at High Risk
title_full Prediction of Diabetes Based on Baseline Metabolic Characteristics in Individuals at High Risk
title_fullStr Prediction of Diabetes Based on Baseline Metabolic Characteristics in Individuals at High Risk
title_full_unstemmed Prediction of Diabetes Based on Baseline Metabolic Characteristics in Individuals at High Risk
title_short Prediction of Diabetes Based on Baseline Metabolic Characteristics in Individuals at High Risk
title_sort prediction of diabetes based on baseline metabolic characteristics in individuals at high risk
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3816921/
https://www.ncbi.nlm.nih.gov/pubmed/24062330
http://dx.doi.org/10.2337/dc13-0520
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