L'optimisation de la prédiction des maladies cardiovasculaires et rénales


Rémi Goupil

CIUSSS du Nord-de-l'Île-de-Montréal


Domaine : santé circulatoire et respiratoire

Programme Chercheurs-boursiers cliniciens - Junior 1

Concours 2018-2019

Partenaire :

Société québécoise d'hypertension artérielle

Cardiovascular (heart diseases and stroke) and kidney diseases affect millions of Canadians. To limit the damage done by these diseases, it is important to identify high risk individuals before these diseases happen. This can be done by recognizing "risk factors", like diabetes and high blood pressure. This research program focuses on the identification and characterisation of new risk factors.

First, "central" blood pressure appears to be more linked to cardiovascular complications than conventional upper arm "peripheral" blood pressure.  This blood pressure can be accurately estimated by analysis of the blood pressure wave at the wrist.  However, it is not known if these measures can predict complication in the general population and what are the best treatment targets.

Second, NT-proBNP is a heart hormone that increases in the blood in presence of excess of salt.  NT-proBNP is routinely measured to help identify heart failure patients at high risk of complications.  We believe measuring this hormone in renal failure patients could be as useful.

Third, ANGPTL2 is blood protein that causes inflammation and damage to blood vessels.  Previous studies have found high levels of this protein in the blood of patients with cardiovascular diseases. However, it is not known if measuring ANGPTL2 improves risk prediction.

To achieve our objectives, we will use data and blood samples collected from major Canadian cohorts (CARTaGENE and CanPREDDICT), but also locally from patients in our Nephrology clinic.  Using statistical tests, we will be able to determine how each new risk factors influences risk prediction.

This program will help better identify patients at risk of cardiovascular and kidney diseases and ultimately guide treatment of patients and reduce unnecessary tests or drugs.