Research
Print page Print page
Switch language
The Capital Region of Denmark - a part of Copenhagen University Hospital
Published

Stratification of type 2 diabetes based on routine clinical markers

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

APA

CBE

MLA

Vancouver

Author

Bibtex

@article{1a3fcc1398c040038a03c56c8ff6ffe6,
title = "Stratification of type 2 diabetes based on routine clinical markers",
abstract = "AIMS: We hypothesized that patients with dysregulated type 2 diabetes may be stratified based on routine clinical markers.METHODS: In this retrospective cohort study, diabetes related clinical measures including age at onset, diabetes duration, HbA1c, BMI, HOMA2-β, HOMA2-IR and GAD65 autoantibodies, were used for sub-grouping patients by K-means clustering and for adjusting. Probability of diabetes complications (95% confidence interval), were calculated using logistic regression.RESULTS: Based on baseline data from patients with type 2 diabetes (n=2,290), the cluster analysis suggested up to five sub-groups. These were primarily characterized by autoimmune β-cell failure (3%), insulin resistance with short disease duration (21%), non-autoimmune β-cell failure (22%), insulin resistance with long disease duration (32%), and presence of metabolic syndrome (22%), respectively. Retinopathy was more common in the sub-group characterized by non-autoimmune β-cell failure (52% (47.7-56.8)) compared to other sub-groups (22% (20.1-24.1)), adj. p<0.001. The prevalence of cardiovascular disease, nephropathy and neuropathy also differed between sub-groups, but significance was lost after adjustment.CONCLUSIONS: Patients with type 2 diabetes cluster into clinically relevant sub-groups based on routine clinical markers. The prevalence of diabetes complications seems to be sub-group specific. Our data suggests the need for a tailored strategy for the treatment of type 2 diabetes.",
keywords = "Journal Article",
author = "Narges Safai and Ashfaq Ali and Peter Rossing and Martin Ridderstr{\aa}le",
note = "Copyright {\textcopyright} 2018 Elsevier B.V. All rights reserved.",
year = "2018",
month = jul,
doi = "10.1016/j.diabres.2018.05.014",
language = "English",
volume = "141",
pages = "275--283",
journal = "Diabetes Research and Clinical Practice",
issn = "0168-8227",
publisher = "Elsevier Ireland Ltd",

}

RIS

TY - JOUR

T1 - Stratification of type 2 diabetes based on routine clinical markers

AU - Safai, Narges

AU - Ali, Ashfaq

AU - Rossing, Peter

AU - Ridderstråle, Martin

N1 - Copyright © 2018 Elsevier B.V. All rights reserved.

PY - 2018/7

Y1 - 2018/7

N2 - AIMS: We hypothesized that patients with dysregulated type 2 diabetes may be stratified based on routine clinical markers.METHODS: In this retrospective cohort study, diabetes related clinical measures including age at onset, diabetes duration, HbA1c, BMI, HOMA2-β, HOMA2-IR and GAD65 autoantibodies, were used for sub-grouping patients by K-means clustering and for adjusting. Probability of diabetes complications (95% confidence interval), were calculated using logistic regression.RESULTS: Based on baseline data from patients with type 2 diabetes (n=2,290), the cluster analysis suggested up to five sub-groups. These were primarily characterized by autoimmune β-cell failure (3%), insulin resistance with short disease duration (21%), non-autoimmune β-cell failure (22%), insulin resistance with long disease duration (32%), and presence of metabolic syndrome (22%), respectively. Retinopathy was more common in the sub-group characterized by non-autoimmune β-cell failure (52% (47.7-56.8)) compared to other sub-groups (22% (20.1-24.1)), adj. p<0.001. The prevalence of cardiovascular disease, nephropathy and neuropathy also differed between sub-groups, but significance was lost after adjustment.CONCLUSIONS: Patients with type 2 diabetes cluster into clinically relevant sub-groups based on routine clinical markers. The prevalence of diabetes complications seems to be sub-group specific. Our data suggests the need for a tailored strategy for the treatment of type 2 diabetes.

AB - AIMS: We hypothesized that patients with dysregulated type 2 diabetes may be stratified based on routine clinical markers.METHODS: In this retrospective cohort study, diabetes related clinical measures including age at onset, diabetes duration, HbA1c, BMI, HOMA2-β, HOMA2-IR and GAD65 autoantibodies, were used for sub-grouping patients by K-means clustering and for adjusting. Probability of diabetes complications (95% confidence interval), were calculated using logistic regression.RESULTS: Based on baseline data from patients with type 2 diabetes (n=2,290), the cluster analysis suggested up to five sub-groups. These were primarily characterized by autoimmune β-cell failure (3%), insulin resistance with short disease duration (21%), non-autoimmune β-cell failure (22%), insulin resistance with long disease duration (32%), and presence of metabolic syndrome (22%), respectively. Retinopathy was more common in the sub-group characterized by non-autoimmune β-cell failure (52% (47.7-56.8)) compared to other sub-groups (22% (20.1-24.1)), adj. p<0.001. The prevalence of cardiovascular disease, nephropathy and neuropathy also differed between sub-groups, but significance was lost after adjustment.CONCLUSIONS: Patients with type 2 diabetes cluster into clinically relevant sub-groups based on routine clinical markers. The prevalence of diabetes complications seems to be sub-group specific. Our data suggests the need for a tailored strategy for the treatment of type 2 diabetes.

KW - Journal Article

U2 - 10.1016/j.diabres.2018.05.014

DO - 10.1016/j.diabres.2018.05.014

M3 - Journal article

C2 - 29782936

VL - 141

SP - 275

EP - 283

JO - Diabetes Research and Clinical Practice

JF - Diabetes Research and Clinical Practice

SN - 0168-8227

ER -

ID: 53789060