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Validation of distinct type 2 diabetes clusters and their association with diabetes complications in the DEVOTE, LEADER and SUSTAIN-6 cardiovascular outcomes trials.
Kahkoska, Anna R; Geybels, Milan S; Klein, Klara R; Kreiner, Frederik F; Marx, Nikolaus; Nauck, Michael A; Pratley, Richard E; Wolthers, Benjamin O; Buse, John B.
Affiliation
  • Kahkoska AR; School of Medicine, University of North Carolina, Chapel Hill, North Carolina, USA.
  • Geybels MS; Novo Nordisk A/S, Søborg, Denmark.
  • Klein KR; School of Medicine, University of North Carolina, Chapel Hill, North Carolina, USA.
  • Kreiner FF; Novo Nordisk A/S, Søborg, Denmark.
  • Marx N; Department of Internal Medicine I, University Hospital Aachen, RWTH Aachen University, Aachen, Germany.
  • Nauck MA; Medical Department I, Diabetes Center Bochum-Hattingen, St. Josef-Hospital, Ruhr-University Bochum, Bochum, Germany.
  • Pratley RE; AdventHealth Translational Research Institute, Orlando, Florida, USA.
  • Wolthers BO; Novo Nordisk A/S, Søborg, Denmark.
  • Buse JB; School of Medicine, University of North Carolina, Chapel Hill, North Carolina, USA.
Diabetes Obes Metab ; 22(9): 1537-1547, 2020 09.
Article in En | MEDLINE | ID: mdl-32314525
ABSTRACT

AIMS:

To validate the clusters of Swedish individuals with recent-onset diabetes at differential risk of complications, which were identified in a previous study, in three global populations with long-standing type 2 diabetes (T2D) who were at high cardiovascular risk, and to test for differences in the risk of major diabetes complications and survival endpoints. MATERIALS AND

METHODS:

We assigned participants from recent global outcomes trials (DEVOTE [n = 7637], LEADER [n = 9340] and SUSTAIN-6 [n = 3297]) to the previously defined clusters according to age at diabetes diagnosis, baseline glycated haemoglobin (HbA1c) and body mass index (BMI). Outcomes were assessed using Kaplan-Meier analysis and log-rank tests.

RESULTS:

The T2D clusters were consistently replicated across the three trial cohorts. The risk of major adverse cardiovascular events and cardiovascular death differed significantly, in all trials, across clusters over a median follow-up duration of 2.0, 3.8 and 2.1 years, respectively, and was highest for the cluster of participants with high HbA1c and low BMI (P < 0.05 in DEVOTE and LEADER). In LEADER and SUSTAIN-6, the risk of nephropathy differed across clusters (P < 0.0001 and P = 0.003, respectively). The risk of severe hypoglycaemia differed in DEVOTE (P = 0.006).

CONCLUSIONS:

Previously identified clusters can be replicated in three geographically diverse cohorts of long-standing T2D and are associated with cluster-specific risk profiles for additional clinical and survival outcomes, providing further validation of the clustering methodology. The external validity and stability of clusters across cohorts provides a premise for future work to optimize the clustering approach to yield T2D subgroups with maximum predictive validity who may benefit from subtype-specific treatment paradigms.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Diabetes Complications / Diabetes Mellitus, Type 2 / Hypoglycemia Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Diabetes Obes Metab Journal subject: ENDOCRINOLOGIA / METABOLISMO Year: 2020 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Diabetes Complications / Diabetes Mellitus, Type 2 / Hypoglycemia Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Diabetes Obes Metab Journal subject: ENDOCRINOLOGIA / METABOLISMO Year: 2020 Document type: Article Affiliation country: United States