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Novel subgroups of type 2 diabetes and their association with microvascular outcomes in an Asian Indian population: a data-driven cluster analysis: the INSPIRED study
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: Fro...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BMJ Publishing Group
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7437708/ https://www.ncbi.nlm.nih.gov/pubmed/32816869 http://dx.doi.org/10.1136/bmjdrc-2020-001506 |
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author | Anjana, Ranjit Mohan Baskar, Viswanathan Nair, Anand Thakarakkattil Narayanan Jebarani, Saravanan Siddiqui, Moneeza Kalhan Pradeepa, Rajendra Unnikrishnan, Ranjit Palmer, Colin Pearson, Ewan Mohan, Viswanathan |
author_facet | Anjana, Ranjit Mohan Baskar, Viswanathan Nair, Anand Thakarakkattil Narayanan Jebarani, Saravanan Siddiqui, Moneeza Kalhan Pradeepa, Rajendra Unnikrishnan, Ranjit Palmer, Colin Pearson, Ewan Mohan, Viswanathan |
author_sort | Anjana, Ranjit Mohan |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7437708 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-74377082020-08-24 Novel subgroups of type 2 diabetes and their association with microvascular outcomes in an Asian Indian population: a data-driven cluster analysis: the INSPIRED study Anjana, Ranjit Mohan Baskar, Viswanathan Nair, Anand Thakarakkattil Narayanan Jebarani, Saravanan Siddiqui, Moneeza Kalhan Pradeepa, Rajendra Unnikrishnan, Ranjit Palmer, Colin Pearson, Ewan Mohan, Viswanathan BMJ Open Diabetes Res Care Epidemiology/Health services research 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. BMJ Publishing Group 2020-08-17 /pmc/articles/PMC7437708/ /pubmed/32816869 http://dx.doi.org/10.1136/bmjdrc-2020-001506 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Epidemiology/Health services research Anjana, Ranjit Mohan Baskar, Viswanathan Nair, Anand Thakarakkattil Narayanan Jebarani, Saravanan Siddiqui, Moneeza Kalhan Pradeepa, Rajendra Unnikrishnan, Ranjit Palmer, Colin Pearson, Ewan Mohan, Viswanathan Novel subgroups of type 2 diabetes and their association with microvascular outcomes in an Asian Indian population: a data-driven cluster analysis: the INSPIRED study |
title | Novel subgroups of type 2 diabetes and their association with microvascular outcomes in an Asian Indian population: a data-driven cluster analysis: the INSPIRED study |
title_full | Novel subgroups of type 2 diabetes and their association with microvascular outcomes in an Asian Indian population: a data-driven cluster analysis: the INSPIRED study |
title_fullStr | Novel subgroups of type 2 diabetes and their association with microvascular outcomes in an Asian Indian population: a data-driven cluster analysis: the INSPIRED study |
title_full_unstemmed | Novel subgroups of type 2 diabetes and their association with microvascular outcomes in an Asian Indian population: a data-driven cluster analysis: the INSPIRED study |
title_short | Novel subgroups of type 2 diabetes and their association with microvascular outcomes in an Asian Indian population: a data-driven cluster analysis: the INSPIRED study |
title_sort | novel subgroups of type 2 diabetes and their association with microvascular outcomes in an asian indian population: a data-driven cluster analysis: the inspired study |
topic | Epidemiology/Health services research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7437708/ https://www.ncbi.nlm.nih.gov/pubmed/32816869 http://dx.doi.org/10.1136/bmjdrc-2020-001506 |
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