1. Cardiovascular Diseases Faculty of Medicine Second Annual Retreat
December 11th, 2017
Nadia Giannetti MD
Chief, Division of Cardiology MUHC
Ariane Marelli MD, MPH
Director of Cardiovascular Research MUHC

2. Background
In spring 2017, a grid developed to categorize tertiary and quaternary clinical activities across the McGill RUIS
Now moving forward to enhance collaboration in clinical activities as well as academic/research across the sites

3. McGill Collaborations in CV Sciences
Working groups being created across McGill with leaders from both MUHC and JGH identified to advance collaborations the following programs:
Congenital Heart Disease
Heart Failure
Cardio-oncology
Cardiac imaging
Interventional/structural cardiology
Cardiac intensive care
Arrhythmia
Prevention
Fundamental research
Outcomes research

4. Timeline Face-to-face meeting in the early new year
Review current status
Identify goals
Identify strategies
Benchmarks
Mini-Summit in early spring

5. McGill Cardiovascular Research Day Dedicated to students in CV Research Across McGill
Started in 2005
CME accredited since 2010
80 number of abstracts presented by students in 2017 (up from 29 in 2005)
attendees in the last 5 years

6. MUHC Precision Medicine Initiative in Cardiovascular Disease
Where transformative cardiovascular research meets innovation in clinical care

7. What is Precision Medicine?
Prevention and treatment that take individual variability into account leveraging technology for rapid analysis and knowledge translation
NEJM 2015; 372:9

8. Why now? Dawn of the 21st Century we can harness
Genetics (inc. epigenetics) and ’omics’ (proteomics, metabolomics)
Big Data
Electronic health records and Digital Health
Antman Nature Card 2016;13:591

9. Cardiovascular Health
MUHC infrastructure
Cardiovascular Health
Across the Lifespan (CHAL)
Research and
Clinical Care aligned
Cardiovascular Health
Clinical Pod (CHCP)

10. CHAL research program at the MUHC-RI
Brings together CV researchers from Cardiology, IM, Epidemiology, Cardiac Surgery
Span from genetics to population

11. Cardiovascular Health
MUHC infrastructure
Cardiovascular Health
Clinical Pod (CHCP)
>20 thousand visits per year in Cardiology, Cardiac Surgery, Vascular Surgery, and Cardiovascular Prevention

12. Vision: Harnessing existing infrastructure
To decrease the burden of cardiovascular disease by implementing personalized prediction and prevention of cardiovascular events

13. What does this mean?
PREDICTING DISEASE

14. Mission: research In patients across the lifespan
To develop ‘Cardiovascular Health Signatures’* for prevention and treatment
Each individual’s Health Signature will be derived from morphology, biologics and lifestyle variables
Using cross-cutting platforms at the MUHC including imaging (phenotype), biologicals (genotype and omics), digital health data and artificial intelligence
*Mathias Friedrich

15. Precision Medicine Initiative in Cardiovascular Disease
Start locally and expand
Imaging
Genetics and biomarkers
Artificial intelligence
Digital Health Platform

16. How? CTB MRI (CIM) Personalized Outcomes (CORE) Health Data CHCP
Adapted from Antman Nature Card 2016;13:591

17. Mission: clinical Personalized patient-centered health care delivery platform
“Providing care that is respectful of, and responsive to, individual patient preferences, needs and values, and ensuring that patient values guide all clinical decisions (IOM 2015)
Patient Centered Cloud Platform for Mobile-Health Enabled Clinical health delivery: patient custodians; patient navigators; health coachs; medication management; access management

18. Resources MUHC-R.I. funding:
22 million dollars ( ) in CV research through the CHAL program
MUHC/RVH/MGH foundations: 33 million dollars
Dedicated CV research MRI and “Health Signature”
Dedicated Family Heart Center and Prevention Centre
Dedicated Digital Health in Heart Failure
Dedicated Innovation in Valvular Heart Disease
Excludes large collaborative grants including 25 million SPOR with CHILD BRIGHT that Dr. Marelli is a PI on.

19. Precision Medicine Initiative in Cardiovascular Disease Conclusions
We propose to deliver a Cardiovascular Precision Medicine Initiative
Intersection between biology, digital health, imaging to collect highly specific data and use AI to implement predictive analytics
We can build on a cardiovascular research program and clinical pod to transform the way we deliver care

20. Thank you