Prediction of Heart Failure Outcomes in Patients with Type 2 Diabetes Mellitus: Validation of the TRS-HFDM Risk Score

Diabetes affects approximately 4 million Canadians. Diabetes is associated with increased risk of heart failure, which is also substantially more common after a heart attack. Patients with diabetes are particularly vulnerable due to the combination of these risk factors. As a result, risk models that can identify diabetes patients who are at the greatest risk of heart failure after a heart attack are needed. Such models can be used to identify patients that warrant or may benefit most from specialized care. Our study aims to validate the suitability of a risk prediction model previously developed at Harvard University for use in vulnerable diabetes patients. We aim to conduct our study with high-quality data from an international multi-center trial. The data will be provided by our partner institution collaborator Dr. Faiez Zannad, the trial’s primary investigator and Professor at the University of Lorraine. We expect successful validation of the risk prediction model and, as a result, improved personalized care and resource allocation in Canada’s care centers.

Faculty Supervisor:

Abhinav Sharma;Matthias Friedrich

Student:

Partner:

Université de Lorraine;Faculdade de Medicina da Universidade do Porto International

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology; Public Service, Policy, and Governance

University:

Research Institute of the McGill University Health Centre

Program: