Cardiovascular risk in type 2 diabetes patients: an innovative dynamic prediction model (ST12-032)
Last update: 19/04/2017
Amsterdam, The Netherlands
July 1, 2012 - July 1, 2015
Main Institution :
The EMGO Institute for Health and Care Research (The Netherlands)
Other institution :
The National Institute for Health and Care Research (The Netherlands)
Principal investigator :
Other investigator :
Amber van der Heijden; Jacqueline Dekker; Hendriek Boshuizen; Talitha Feenstra; Caroline Baan
Amount allocated :
Medical and lifestyle interventions can reduce diabetes complications. A key component for targeting these interventions is the assessment of an individual's risk of developing a complication within a defined time period, using prediction models. Current models are flawed, however, implying both undertreatment and overtreatment by targeting the wrong persons for prevention of complications.
This project will result in an improved and practically applicable prediction model for cardiovascular complications in type 2 diabetes patients. Using this model, patients can be better informed about their prognosis and treatment plans can be better tailored leading to a reduction in complications and treatment costs.
EASD 2014, Vienna (Austria), September 2014 (3 posters also published in Diabetologia 57 suppl 1.2014)