Physicians' Academy for Cardiovascular Education

New diabetes stratification predicts risk of complications

Novel subgroups of adult-onset diabetes and their association with outcomes: a data-driven cluster analysis of six variables

Literature - Ahlqvist E, Storm P, Käräjämäki A, et al. - Lancet Diab Endocrinol 2018; published online ahead of print

Main results

Based on the ANDIS cohort, 5 clusters were formed:

Clustering in the independent replication cohorts yielded similar results

In ANDIS, significant associations were observed between clusters and diabetic complications:


In a data-driven cluster analysis of six variables in adult patients with newly diagnosed diabetes, five categories of patients were identified with different characteristics and different risks of diabetic complications. These results suggest that a more precise stratification of new onset diabetes is possible and clinically useful, and it can provide information about underlying disease mechanisms. This allows individualization of treatments according to risk of complications.


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