TY - JOUR
T1 - Novel subgroups of type 2 diabetes and their association with microvascular outcomes in an Asian Indian population
T2 - a data-driven cluster analysis: the INSPIRED study
AU - Anjana, Ranjit Mohan
AU - Baskar, Viswanathan
AU - Nair, Anand Thakarakkattil Narayanan
AU - Jebarani, Saravanan
AU - Siddiqui, Moneeza Kalhan
AU - Pradeepa, Rajendra
AU - Unnikrishnan, Ranjit
AU - Palmer, Colin
AU - Pearson, Ewan
AU - Mohan, Viswanathan
N1 - Funding Information:
1Diabetology, Madras Diabetes Research Foundation, Chennai, Tamil Nadu, India 2Diabetology, Dr Mohan’s Diabetes Specialities Centre Gopalapuram, Chennai, Tamil Nadu, India 3Data Management, Madras Diabetes Research Foundation, Chennai, Tamil Nadu, India 4Division of Population Health and Genomics, University of Dundee School of Medicine, Dundee, UK 5Epidemiology, Madras Diabetes Research Foundation, Chennai, Tamil Nadu, India 6Division of Cardiovascular and Diabetes Medicine, University of Dundee, Dundee, UK Acknowledgements We thank the Indian Council of Medical Research (ICMR), New Delhi, and the Department of Health Research (DHR), Ministry of Health and Family Welfare, Government of India, New Delhi for supporting the ICMR-INDIAB study.
Funding Information:
Funding This research was funded by the National Institute for Health Research (NIHR) (INSPIRED 16/136/102) using UK aid from the UK Government to support global health research. EP holds a Wellcome Trust New Investigator Award (102820/Z/13/Z).
Publisher Copyright:
©
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/8/17
Y1 - 2020/8/17
N2 - Introduction: Type 2 diabetes is characterized by considerable heterogeneity in its etiopathogenesis and clinical presentation. We aimed to identify clusters of type 2 diabetes in Asian Indians and to look at the clinical implications and outcomes of this clustering.Research design and methods: From a network of 50 diabetes centers across nine states of India, we selected 19 084 individuals with type 2 diabetes (aged 10-97 years) with diabetes duration of less than 5 years at the time of first clinic visit and performed k-means clustering using the following variables: age at diagnosis, body mass index, waist circumference, glycated hemoglobin, serum triglycerides, serum high-density lipoprotein cholesterol and C peptide (fasting and stimulated). This was then validated in a national epidemiological data set of representative individuals from 15 states across India.Results: We identified four clusters of patients, differing in phenotypic characteristics as well as disease outcomes: cluster 1 (Severe Insulin Deficient Diabetes, SIDD), cluster 2 (Insulin Resistant Obese Diabetes, IROD), cluster 3 (Combined Insulin Resistant and Deficient Diabetes, CIRDD) and cluster 4 (Mild Age-Related Diabetes, MARD). While SIDD and MARD are similar to clusters reported in other populations, IROD and CIRDD are novel clusters. Cox proportional hazards showed that SIDD had the highest hazards for developing retinopathy, followed by CIRDD, while CIRDD had the highest hazards for kidney disease.Conclusions: Compared with previously reported clustering, we show two novel subgroups of type 2 diabetes in the Asian Indian population with important implications for prognosis and management. The coexistence of insulin deficiency and insulin resistance seems to be peculiar to the Asian Indian population and is associated with an increased risk of microvascular complications.
AB - Introduction: Type 2 diabetes is characterized by considerable heterogeneity in its etiopathogenesis and clinical presentation. We aimed to identify clusters of type 2 diabetes in Asian Indians and to look at the clinical implications and outcomes of this clustering.Research design and methods: From a network of 50 diabetes centers across nine states of India, we selected 19 084 individuals with type 2 diabetes (aged 10-97 years) with diabetes duration of less than 5 years at the time of first clinic visit and performed k-means clustering using the following variables: age at diagnosis, body mass index, waist circumference, glycated hemoglobin, serum triglycerides, serum high-density lipoprotein cholesterol and C peptide (fasting and stimulated). This was then validated in a national epidemiological data set of representative individuals from 15 states across India.Results: We identified four clusters of patients, differing in phenotypic characteristics as well as disease outcomes: cluster 1 (Severe Insulin Deficient Diabetes, SIDD), cluster 2 (Insulin Resistant Obese Diabetes, IROD), cluster 3 (Combined Insulin Resistant and Deficient Diabetes, CIRDD) and cluster 4 (Mild Age-Related Diabetes, MARD). While SIDD and MARD are similar to clusters reported in other populations, IROD and CIRDD are novel clusters. Cox proportional hazards showed that SIDD had the highest hazards for developing retinopathy, followed by CIRDD, while CIRDD had the highest hazards for kidney disease.Conclusions: Compared with previously reported clustering, we show two novel subgroups of type 2 diabetes in the Asian Indian population with important implications for prognosis and management. The coexistence of insulin deficiency and insulin resistance seems to be peculiar to the Asian Indian population and is associated with an increased risk of microvascular complications.
KW - diabetes complications
KW - diabetes mellitus, type 2
KW - India
UR - http://www.scopus.com/inward/record.url?scp=85089769705&partnerID=8YFLogxK
U2 - 10.1136/bmjdrc-2020-001506
DO - 10.1136/bmjdrc-2020-001506
M3 - Article
C2 - 32816869
VL - 8
JO - BMJ Open Diabetes Research and Care
JF - BMJ Open Diabetes Research and Care
SN - 2052-4897
IS - 1
M1 - e001506
ER -
