Identifying older patients at high risk of poor outcomes after joint replacement surgery
This project will recruit over 600 patients aged 65 and older going for surgery at two hospitals in Ottawa, Ontario. Frailty assessments (using two different tools) will be conducted with each patient before surgery. Regular follow-ups will be conducted over the first year after surgery to see how patients are doing.
Publications, presentations and webinars
About the Project
Frailty is a condition that describes the build-up of weakness across multiple body systems, and is common in elderly people. Being frail before surgery increases the risk of a bad outcome, and older patients have surgery more often than any other age group. But the problem is, clinicians don’t know what the best tool to diagnose frailty before surgery is.
To improve how elderly people recover after surgery, clinicians need to be able to identify frail people. However, we don’t know what tool is best at identifying people who are likely to have a complication after surgery.
The goal of the project is to identify differences between two leading frailty tools in their accuracy and ease of use for patients and clinicians. These new discoveries will be provided to clinicians to help them choose which frailty tool to use before surgery to identify older patients at a high-risk of bad outcomes after surgery.
Daniel McIsaac, MD, MPH, FRCPC -- Ottawa Hospital Research Institute
Paul Beale, MD, CFPC -- The Ottawa Hospital, University of Ottawa
Gregory Bryson, MD, FRCPC -- The Ottawa Hospital, University of Ottawa
Alan Forster, MD, FRCPC -- The Ottawa Hospital, University of Ottawa
Sylvain Gagné, MD, FRCPC -- The Ottawa Hospital, University of Ottawa
Allen Huang, MD, CFPC, FRCPC -- The Ottawa Hospital, University of Ottawa
John Joanisse, MD, FRCPC -- Montfort Hospital
Homer Yang, MD, FRCSC -- The Ottawa Hospital, University of Ottawa
Knowledge Users and Partners:
Department of Anesthesiology -- University of Ottawa
Project Contact: Daniel I. McIsaac -- firstname.lastname@example.org
Key words: aging; frailty; surgery; risk prediction; feasibility; disability; patient care; perioperative care; implement guidelines and best practices; improve patient outcomes