Type 2 diabetes classification: a data-driven cluster study of the Danish Centre for Strategic Research in Type 2 Diabetes (DD2) cohort
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Type 2 diabetes classification : a data-driven cluster study of the Danish Centre for Strategic Research in Type 2 Diabetes (DD2) cohort. / Christensen, Diana Hedevang; Nicolaisen, Sia K.; Ahlqvist, Emma; Stidsen, Jacob V.; Nielsen, Jens Steen; Hojlund, Kurt; Olsen, Michael H.; García-Calzón, Sonia; Ling, Charlotte; Rungby, Jørgen; Brandslund, Ivan; Vestergaard, Peter; Jessen, Niels; Hansen, Torben; Brøns, Charlotte; Beck-Nielsen, Henning; Sørensen, Henrik T; Thomsen, Reimar W.; Vaag, Allan.
In: B M J Open Diabetes Research & Care, Vol. 10, No. 2, e002731, 2022.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Type 2 diabetes classification
T2 - a data-driven cluster study of the Danish Centre for Strategic Research in Type 2 Diabetes (DD2) cohort
AU - Christensen, Diana Hedevang
AU - Nicolaisen, Sia K.
AU - Ahlqvist, Emma
AU - Stidsen, Jacob V.
AU - Nielsen, Jens Steen
AU - Hojlund, Kurt
AU - Olsen, Michael H.
AU - García-Calzón, Sonia
AU - Ling, Charlotte
AU - Rungby, Jørgen
AU - Brandslund, Ivan
AU - Vestergaard, Peter
AU - Jessen, Niels
AU - Hansen, Torben
AU - Brøns, Charlotte
AU - Beck-Nielsen, Henning
AU - Sørensen, Henrik T
AU - Thomsen, Reimar W.
AU - Vaag, Allan
N1 - Publisher Copyright: ©
PY - 2022
Y1 - 2022
N2 - Introduction A Swedish data-driven cluster study identified four distinct type 2 diabetes (T2D) clusters, based on age at diagnosis, body mass index (BMI), hemoglobin A1c (HbA1c) level, and homeostatic model assessment 2 (HOMA2) estimates of insulin resistance and beta-cell function. A Danish study proposed three T2D phenotypes (insulinopenic, hyperinsulinemic, and classical) based on HOMA2 measures only. We examined these two new T2D classifications using the Danish Centre for Strategic Research in Type 2 Diabetes cohort. Research design and methods In 3529 individuals, we first performed a k-means cluster analysis with a forced k-value of four to replicate the Swedish clusters: severe insulin deficient (SIDD), severe insulin resistant (SIRD), mild age-related (MARD), and mild obesity-related (MOD) diabetes. Next, we did an analysis open to alternative k-values (ie, data determined the optimal number of clusters). Finally, we compared the data-driven clusters with the three Danish phenotypes. Results Compared with the Swedish findings, the replicated Danish SIDD cluster included patients with lower mean HbA1c (86 mmol/mol vs 101 mmol/mol), and the Danish MOD cluster patients were less obese (mean BMI 32 kg/m 2 vs 36 kg/m 2). Our data-driven alternative k-value analysis suggested the optimal number of T2D clusters in our data to be three, rather than four. When comparing the four replicated Swedish clusters with the three proposed Danish phenotypes, 81%, 79%, and 69% of the SIDD, MOD, and MARD patients, respectively, fitted the classical T2D phenotype, whereas 70% of SIRD patients fitted the hyperinsulinemic phenotype. Among the three alternative data-driven clusters, 60% of patients in the most insulin-resistant cluster constituted 76% of patients with a hyperinsulinemic phenotype. Conclusion Different HOMA2-based approaches did not classify patients with T2D in a consistent manner. The T2D classes characterized by high insulin resistance/hyperinsulinemia appeared most distinct.
AB - Introduction A Swedish data-driven cluster study identified four distinct type 2 diabetes (T2D) clusters, based on age at diagnosis, body mass index (BMI), hemoglobin A1c (HbA1c) level, and homeostatic model assessment 2 (HOMA2) estimates of insulin resistance and beta-cell function. A Danish study proposed three T2D phenotypes (insulinopenic, hyperinsulinemic, and classical) based on HOMA2 measures only. We examined these two new T2D classifications using the Danish Centre for Strategic Research in Type 2 Diabetes cohort. Research design and methods In 3529 individuals, we first performed a k-means cluster analysis with a forced k-value of four to replicate the Swedish clusters: severe insulin deficient (SIDD), severe insulin resistant (SIRD), mild age-related (MARD), and mild obesity-related (MOD) diabetes. Next, we did an analysis open to alternative k-values (ie, data determined the optimal number of clusters). Finally, we compared the data-driven clusters with the three Danish phenotypes. Results Compared with the Swedish findings, the replicated Danish SIDD cluster included patients with lower mean HbA1c (86 mmol/mol vs 101 mmol/mol), and the Danish MOD cluster patients were less obese (mean BMI 32 kg/m 2 vs 36 kg/m 2). Our data-driven alternative k-value analysis suggested the optimal number of T2D clusters in our data to be three, rather than four. When comparing the four replicated Swedish clusters with the three proposed Danish phenotypes, 81%, 79%, and 69% of the SIDD, MOD, and MARD patients, respectively, fitted the classical T2D phenotype, whereas 70% of SIRD patients fitted the hyperinsulinemic phenotype. Among the three alternative data-driven clusters, 60% of patients in the most insulin-resistant cluster constituted 76% of patients with a hyperinsulinemic phenotype. Conclusion Different HOMA2-based approaches did not classify patients with T2D in a consistent manner. The T2D classes characterized by high insulin resistance/hyperinsulinemia appeared most distinct.
KW - classification
KW - clusters
KW - cohort
KW - type 2 diabetes
U2 - 10.1136/bmjdrc-2021-002731
DO - 10.1136/bmjdrc-2021-002731
M3 - Journal article
C2 - 35428673
AN - SCOPUS:85128487309
VL - 10
JO - B M J Open Diabetes Research & Care
JF - B M J Open Diabetes Research & Care
SN - 2052-4897
IS - 2
M1 - e002731
ER -
ID: 305186174