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Development of a hypoglycaemia risk score to identify high‐risk individuals with advanced type 2 diabetes in DEVOTE
Author(s) -
Heller Simon,
Lingvay Ildiko,
Marso Steven P.,
PhilisTsimikas Athena,
Pieber Thomas R.,
Poulter Neil R.,
Pratley Richard E.,
HachmannNielsen Elise,
Kvist Kajsa,
Lange Martin,
Moses Alan C.,
Trock Andresen Marie,
Buse John B.
Publication year - 2020
Publication title -
diabetes, obesity and metabolism
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.445
H-Index - 128
eISSN - 1463-1326
pISSN - 1462-8902
DOI - 10.1111/dom.14208
Subject(s) - framingham risk score , medicine , generalizability theory , stepwise regression , disease , diabetes mellitus , type 2 diabetes , risk assessment , statistics , computer science , endocrinology , mathematics , computer security
The ability to differentiate patient populations with type 2 diabetes at high risk of severe hypoglycaemia could impact clinical decision making. The aim of this study was to develop a risk score, using patient characteristics, that could differentiate between populations with higher and lower 2-year risk of severe hypoglycaemia among individuals at increased risk of cardiovascular disease.