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Clinical profiles of post-load glucose subgroups and their association with glycaemic traits over time: An IMI-DIRECT study.
Obura, M; Beulens, J W J; Slieker, R; Koopman, A D M; Hoekstra, T; Nijpels, G; Elders, P; Dekker, J M; Koivula, R W; Kurbasic, A; Laakso, M; Hansen, T H; Ridderstråle, M; Hansen, T; Pavo, I; Forgie, I; Jablonka, B; Ruetten, H; Mari, A; McCarthy, M I; Walker, M; McDonald, T J; Perry, M H; Pearson, E R; Franks, P W; 't Hart, L M; Rutters, F.
Afiliación
  • Obura M; Epidemiology and Data Science, Amsterdam Public Health research institute, VU University Medical Center, Amsterdam, The Netherlands.
  • Beulens JWJ; Epidemiology and Data Science, Amsterdam Public Health research institute, VU University Medical Center, Amsterdam, The Netherlands.
  • Slieker R; Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, The Netherlands.
  • Koopman ADM; Epidemiology and Data Science, Amsterdam Public Health research institute, VU University Medical Center, Amsterdam, The Netherlands.
  • Hoekstra T; Department of Cell and Chemical Biology, Leiden University Medical Centre, Leiden, The Netherlands.
  • Nijpels G; Epidemiology and Data Science, Amsterdam Public Health research institute, VU University Medical Center, Amsterdam, The Netherlands.
  • Elders P; Epidemiology and Data Science, Amsterdam Public Health research institute, VU University Medical Center, Amsterdam, The Netherlands.
  • Dekker JM; Department of Health Sciences, Faculty of Earth and Life Sciences, VU University, Amsterdam, The Netherlands.
  • Koivula RW; Department of General Practice and Elderly Care Medicine, Amsterdam Public Health Research Institute, VU University Medical Centre, Amsterdam, The Netherlands.
  • Kurbasic A; Department of General Practice and Elderly Care Medicine, Amsterdam Public Health Research Institute, VU University Medical Centre, Amsterdam, The Netherlands.
  • Laakso M; Epidemiology and Data Science, Amsterdam Public Health research institute, VU University Medical Center, Amsterdam, The Netherlands.
  • Hansen TH; Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University, Malmö, Sweden.
  • Ridderstråle M; Oxford Centre for Diabetes, Endocrinology and Metabolism (OCDEM), University of Oxford, Oxford, UK.
  • Hansen T; Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University, Malmö, Sweden.
  • Pavo I; Department of Medicine, University of Eastern Finland and Kuopio University Hospital, Finland.
  • Forgie I; The Novo Nordisk Foundation Centre for Basic Metabolic Research, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.
  • Jablonka B; Department of Cardiology and Endocrinology, Slagelse Hospital, Slagelse, Denmark.
  • Ruetten H; The Novo Nordisk Foundation Centre for Basic Metabolic Research, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.
  • Mari A; The Novo Nordisk Foundation Centre for Basic Metabolic Research, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.
  • McCarthy MI; Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark.
  • Walker M; Eli Lilly Regional Operations GmbH, Vienna, Austria.
  • McDonald TJ; Division of Cardiovascular & Diabetes Medicine, Medical Research Institute, University of Dundee, Dundee, UK.
  • Perry MH; Sanofi-Aventis Deutschland GmbH, R&D, Frankfurt am Main, Germany.
  • Pearson ER; Sanofi-Aventis Deutschland GmbH, R&D, Frankfurt am Main, Germany.
  • Franks PW; Institute of Biomedical Engineering, National Research Council, Padova, Italy.
  • 't Hart LM; Oxford Centre for Diabetes, Endocrinology and Metabolism (OCDEM), University of Oxford, Oxford, UK.
  • Rutters F; Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK.
Diabet Med ; 38(2): e14428, 2021 02.
Article en En | MEDLINE | ID: mdl-33067862
ABSTRACT

AIM:

To examine the hypothesis that, based on their glucose curves during a seven-point oral glucose tolerance test, people at elevated type 2 diabetes risk can be divided into subgroups with different clinical profiles at baseline and different degrees of subsequent glycaemic deterioration.

METHODS:

We included 2126 participants at elevated type 2 diabetes risk from the Diabetes Research on Patient Stratification (IMI-DIRECT) study. Latent class trajectory analysis was used to identify subgroups from a seven-point oral glucose tolerance test at baseline and follow-up. Linear models quantified the associations between the subgroups with glycaemic traits at baseline and 18 months.

RESULTS:

At baseline, we identified four glucose curve subgroups, labelled in order of increasing peak levels as 1-4. Participants in Subgroups 2-4, were more likely to have higher insulin resistance (homeostatic model assessment) and a lower Matsuda index, than those in Subgroup 1. Overall, participants in Subgroups 3 and 4, had higher glycaemic trait values, with the exception of the Matsuda and insulinogenic indices. At 18 months, change in homeostatic model assessment of insulin resistance was higher in Subgroup 4 (ß = 0.36, 95% CI 0.13-0.58), Subgroup 3 (ß = 0.30; 95% CI 0.10-0.50) and Subgroup 2 (ß = 0.18; 95% CI 0.04-0.32), compared to Subgroup 1. The same was observed for C-peptide and insulin. Five subgroups were identified at follow-up, and the majority of participants remained in the same subgroup or progressed to higher peak subgroups after 18 months.

CONCLUSIONS:

Using data from a frequently sampled oral glucose tolerance test, glucose curve patterns associated with different clinical characteristics and different rates of subsequent glycaemic deterioration can be identified.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Glucemia / Péptido C / Resistencia a la Insulina / Intolerancia a la Glucosa / Diabetes Mellitus Tipo 2 / Secreción de Insulina / Insulina Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Diabet Med Asunto de la revista: ENDOCRINOLOGIA Año: 2021 Tipo del documento: Article País de afiliación: Países Bajos

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Glucemia / Péptido C / Resistencia a la Insulina / Intolerancia a la Glucosa / Diabetes Mellitus Tipo 2 / Secreción de Insulina / Insulina Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Diabet Med Asunto de la revista: ENDOCRINOLOGIA Año: 2021 Tipo del documento: Article País de afiliación: Países Bajos