Ruth Sapir-Pichhadze, MD, PhD, MSc

Academic title(s): 

Associate Professor, Division of Clinical Epidemiology, Division of Experimental Medicine, Division of Nephrology, Department of Medicine
 

Ruth Sapir-Pichhadze, MD, PhD, MSc
Contact Information
Address: 

5252 de Maisonneuve West, 3E.13
Montreal, QC H4A 3S9

Email address: 
ruth.sapir-pichhadze [at] mcgill.ca
Phone: 
(514) 934-1934 ext: 35403
Area(s): 
Kidney Transplant
Biography: 

Dr. Ruth Sapir-Pichhadze is a clinician scientist and a transplant nephrologist at McGill University Health Centre. She completed training in General Internal Medicine, Nephrology, and Kidney Transplantation at the University of Toronto. Thereafter, she enrolled in the Eliot Phillipson Clinician Scientist Training Program and received a PhD in Clinical Epidemiology and Health Care Research at the Institute of Health Policy, Management and Evaluation at the University of Toronto. Dr. Sapir-Pichhadze is leading a CIHR, FRQS, and Genome Canada funded research program, which focuses on the application of personalized medicine strategies for the prevention of immune-mediated injuries. Specifically, she is interested in identifying genetic determinants of donor and recipient compatibility in an effort to optimize organ allocation schemes, inform personalized surveillance schedules, and establish individually tailored therapeutic regimens in kidney transplant candidates and recipients. In recognition of her efforts, Dr. Sapir-Pichhadze has been awarded the prestigious KRESCENT-CIHR New Investigator and the Chercheur boursier clinicien - Junior 1 awards.

Current research: 

My research focuses on studying the determinants of kidney transplant outcomes. I am particularly interested in identifying strategies to prevent immune-mediated injuries following kidney transplantation. Methodologically, I have experience in observational studies using large registries and single center databases, health services research, systematic reviews, decision analyses, epidemiologic methods for evaluating diagnostic test accuracy in the presence or absence of a gold standard, as well as analytic methods capable of dealing with time-varying variables and competing risks.

Selected publications: 
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