Narges Safai1, Ashfaq Ali2, Peter Rossing3, Martin Ridderstråle4. 1. Steno Diabetes Center Copenhagen, Patient Care, Niels Steensens Vej 2-4, DK-2820 Gentofte, Denmark. Electronic address: Narges.safai@regionh.dk. 2. Steno Diabetes Center Copenhagen, Systems Medicine, Niels Steensens Vej 2-4, DK-2820 Gentofte, Denmark. Electronic address: Ashfaq.ali@regionh.dk. 3. Steno Diabetes Center Copenhagen, Complication Research, Niels Steensens Vej 2-4, DK-2820 Gentofte, Denmark; University of Copenhagen, Department of Clinical Medicine, Copenhagen, Denmark. Electronic address: Peter.rossing@regionh.dk. 4. Steno Diabetes Center Copenhagen, Patient Care, Niels Steensens Vej 2-4, DK-2820 Gentofte, Denmark. Electronic address: mtrd@novonordisk.com.
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 = 2290), 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.
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 = 2290), 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.
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