Identification des traitements et prédiction du risque pour améliorer les traitements appropriés chez les patients atteints de diabète sucré et d'insuffisance cardiaque

 

Abhinav Sharma

Institut de recherche du Centre universitaire de santé McGill

 

Domaine : santé circulatoire et respiratoire

Programme Chercheurs-boursiers cliniciens - Junior 1

Concours 2019-2020

Heart failure (HF) and diabetes mellitus (DM) are significant health problems in Canada. Patients with both disorders are at higher risk of cardiovascular (CV) death and hospitalization. The ‘identification of Treatments and Risk prediction to Enhance Appropriate Therapies in patients with Diabetes Mellitus and Heart Failure' (or iTREAT-DM-HF) study is a series of projects that will enhance our understanding strategies to improve care of patients with both DM and HF.

Historically, clinical trials of drugs meant to control high glucose levels (hyperglycemia) excluded patients with HF resulting in a lack of safety and effectiveness data. There is also a lack of information regarding the benefit of HF therapies, specifically, implantable-cardioverter-defibrillator (ICD) among patients with both HF and DM. The iTREAT-DM-HF study will use contemporary real-world data to identify whether anti-hyperglycemic drugs and ICDs are safe and effective in reducing the risk of death and hospitalization in patients with DM and HF. There is limited data on predicting risk of death and hospitalization in patients with DM and HF. Biomarkers have played a significant role in measuring this risk across disease states; the iTREAT-DM-HF project will use data from clinical trials to identify whether biomarkers can improve risk prediction among patients with DM and HF. In addition there remains an unmet need to understand health behaviours among patients with DM and HF. It has been demonstrated that factors such as daily physical activity, diet, sleep patterns, and symptoms of depression have significant impact on health outcomes. The iTREAT-DM-HF study will use data from a digital study called MyHeart Counts to identify population level health behaviours in patients with DM and HF.

Upon completion, the iTREAT-DM-HF project will improve our understanding of effective therapies, risk prediction, and population level health behaviours in patients with both DM and HF.