Tayler Buchan sharing knowledge on physician intuition compared to risk prediction models. Compared to models, #cardiologists over estimate risk, family docs underestimate, who is right? Stay tuned!! Carolina Alba Heather Ross

⁦Yas Moayedi⁩ studied #Allomap registry and found African American to be at increased risk of death post transplant. Individual components of gene profiles may be useful for guiding therapy. ⁦The ISHLT⁩

This work was made possible through the wonderful contribution of all collaborators, including but not limited to: Gordon H. Guyatt Alfonso Iorio Richard Riley (R²) Pavel Roshanov Carolina Alba Nicole Skoetz Zachary Munn Romina Brignardello Holger Schünemann Journal of Clinical Epidemiology

As part of our Trainee & Summer Student Showcase Event & Lunch with TRANSFORM HF, summer scholarship recipients Matheus Saraiva de Morais, Batool Barody, Faran Chaudhry, Anjali Chauhan, David Leong & Charul Narain presented on the projects they worked on over the summer.

It is a privilege to work with my colleagues evaluating our data to ensure our patients receive the best care at Peter Munk Cardiac Centre

Predicting 1-Year Mortality in Outpatients With Heart Failure With Reduced Left Ventricular Ejection Fraction: Do Empiric Models Outperform Physician Intuitive Estimates? A Multicenter Cohort Study Carolina Alba #AHAJournals ahajournals.org/doi/abs/10.116…

Risk #models make accurate #predictions in #heartfailure. Physicians significantly overestimate risk. When absolute risk is relevant, models can assist decision making. Peter Munk Cardiac Centre University Health Network Ted Rogers Centre for Heart Research Shelley Zieroth Gordon H. Guyatt @healthyheartdoc Kim Anderson