Data-driven metabolic subtypes predict future adverse events in individuals with type 1 diabetes - UTU Research Portal

A1 Refereed original research article in a scientific journal

Data-driven metabolic subtypes predict future adverse events in individuals with type 1 diabetes

Authors: Raija Lithovius, Iiro Toppila, Valma Harjutsalo, Carol Forsblom, Per-Henrik Groop, Ville-Petteri Mäkinen; on behalf of the FinnDiane Study Group

Publication year: 2017

Journal: Diabetologia

Volume: 60

Issue: 7

First page : 1234

Last page: 1243

Number of pages: 10

ISSN: 0012-186X

DOI: https://doi.org/10.1007/s00125-017-4273-8

Abstract

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.