Data-driven metabolic subtypes predict future adverse events in individuals with type 1 diabetes
: Raija Lithovius, Iiro Toppila, Valma Harjutsalo, Carol Forsblom, Per-Henrik Groop, Ville-Petteri Mäkinen; on behalf of the FinnDiane Study Group
: 2017
Diabetologia
: 60
: 7
: 1234
: 1243
: 10
: 0012-186X
DOI: https://doi.org/10.1007/s00125-017-4273-8
Conclusions/interpretation
Data-driven multivariable metabolic subtypes predicted the divergence of complication burden across multiple clinical endpoints simultaneously. In particular, men with the metabolic syndrome and women with high HDL-cholesterol should be recognised as important subgroups in interventional studies and public health guidelines on type 1 diabetes.