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Charles de Mestral

MDCM, FRCSC, PhD

Scientist

Email: Charles.deMestral@unityhealth.to
Tel: 416-864-5459
Twitter: @vasc_surg

Research Programs

Biography

Dr. Charles de Mestral is a vascular surgeon at St. Michael’s Hospital and a Surgeon-Scientist in the Department of Surgery of the University of Toronto. He conducts research on clinical effectiveness, as well as the provision, quality and costs of surgical care.  His primary research focus is amputation prevention in people with diabetes and peripheral artery disease. His work is based out of the Li Ka Shing Knowledge Institute of St. Michael’s Hospital and ICES.

Please note: Dr. de Mestral is no longer accepting summer students.

 

Recent Publications

  1. Li, B, Eisenberg, N, Beaton, D, Lee, DS, Aljabri, B, Wijeysundera, DN et al.. Using machine learning to predict outcomes following suprainguinal bypass. J Vasc Surg. 2023; :. doi: 10.1016/j.jvs.2023.09.037. PubMed PMID:37804954 .
  2. Li, B, Verma, R, Beaton, D, Tamim, H, Hussain, MA, Hoballah, JJ et al.. Predicting Major Adverse Cardiovascular Events Following Carotid Endarterectomy Using Machine Learning. J Am Heart Assoc. 2023;12 (20):e030508. doi: 10.1161/JAHA.123.030508. PubMed PMID:37804197 .
  3. Stephenson, R, Sarhangian, V, Park, J, Sankar, A, Baxter, NN, Stukel, TA et al.. Evolution of the surgical procedure gap during and after the COVID-19 pandemic in Ontario, Canada: cross-sectional and modelling study. Br J Surg. 2023;110 (12):1887-1889. doi: 10.1093/bjs/znad289. PubMed PMID:37724806 PubMed Central PMC10638533.
  4. Li, B, Aljabri, B, Verma, R, Beaton, D, Eisenberg, N, Lee, DS et al.. Machine learning to predict outcomes following endovascular abdominal aortic aneurysm repair. Br J Surg. 2023;110 (12):1840-1849. doi: 10.1093/bjs/znad287. PubMed PMID:37710397 .
  5. Li, B, Aljabri, B, Verma, R, Beaton, D, Eisenberg, N, Lee, DS et al.. Using machine learning to predict outcomes following open abdominal aortic aneurysm repair. J Vasc Surg. 2023;78 (6):1426-1438.e6. doi: 10.1016/j.jvs.2023.08.121. PubMed PMID:37634621 .
  6. Li, B, Verma, R, Beaton, D, Tamim, H, Hussain, MA, Hoballah, JJ et al.. Predicting outcomes following open revascularization for aortoiliac occlusive disease using machine learning. J Vasc Surg. 2023;78 (6):1449-1460.e7. doi: 10.1016/j.jvs.2023.07.006. PubMed PMID:37454952 .
  7. Blanchette, V, Todkar, S, Brousseau-Foley, M, Rheault, N, Weisz, T, Poitras, ME et al.. Collaboration and Partnership in a 5-Level Engagement Framework for Diabetic Foot Ulcer Management: A Patient-oriented Scoping Review. Can J Diabetes. 2023; :. doi: 10.1016/j.jcjd.2023.07.002. PubMed PMID:37437841 .
  8. McAlister, FA, Chu, A, Qiu, F, Dong, Y, van Diepen, S, Youngson, E et al.. Outcomes Among Patients Hospitalized With Non-COVID-19 Conditions Before and During the COVID-19 Pandemic in Alberta and Ontario, Canada. JAMA Netw Open. 2023;6 (7):e2323035. doi: 10.1001/jamanetworkopen.2023.23035. PubMed PMID:37436751 PubMed Central PMC10339156.
  9. Li, B, Verma, R, Beaton, D, Tamim, H, Hussain, MA, Hoballah, JJ et al.. Predicting Outcomes Following Endovascular Abdominal Aortic Aneurysm Repair Using Machine Learning. Ann Surg. 2023; :. doi: 10.1097/SLA.0000000000005978. PubMed PMID:37389890 .
  10. Zhang, Q, Duncan, S, Szulc, DA, de Mestral, C, Kutryk, MJ. Development of a universal, oriented antibody immobilization method to functionalize vascular prostheses for enhanced endothelialization for potential clinical application. J Biol Eng. 2023;17 (1):37. doi: 10.1186/s13036-023-00356-6. PubMed PMID:37264409 PubMed Central PMC10236874.
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Affiliations & Other Activities

  • Surgeon, Division of Vascular Surgery, St. Michael’s Hospital
  • Assistant Professor, Department of Surgery, University of Toronto
  • Adjunct Scientist, Institute for Clinical Evaluative Sciences