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Ashfaq Ali


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Stratification of type 2 diabetes based on routine clinical markers


  • Narges Safai
  • Ashfaq Ali
  • Peter Rossing
  • Martin Ridderstråle

Summary, in English

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.

Publishing year







Diabetes Research and Clinical Practice



Document type

Journal article




  • Endocrinology and Diabetes


  • Biomarkers/blood
  • Cohort Studies
  • Diabetes Mellitus, Type 2/drug therapy
  • Humans
  • Retrospective Studies




  • ISSN: 1872-8227