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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.

Authors :
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.
Source :
Diabetes, Obesity & Metabolism; Sep2020, Vol. 22 Issue 9, p1537-1547, 11p
Publication Year :
2020

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14628902
Volume :
22
Issue :
9
Database :
Complementary Index
Journal :
Diabetes, Obesity & Metabolism
Publication Type :
Academic Journal
Accession number :
145052283
Full Text :
https://doi.org/10.1111/dom.14063