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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. Kim, AY, Hanley, J, Fuhrer, R, de Mestral, C. Response to the Letter to the Editor: Temporal trends in the rates of foot complications and lower-extremity amputation related to type 1 and 2 diabetes in adults in selected Canadian provinces. Can J Diabetes. 2025; :. doi: 10.1016/j.jcjd.2025.05.010. PubMed PMID:40473071 .
  2. Li, B, Eisenberg, N, Beaton, D, Lee, DS, Al-Omran, L, Wijeysundera, DN et al.. Predicting mortality risk following major lower extremity amputation using machine learning. J Vasc Surg. 2025; :. doi: 10.1016/j.jvs.2025.03.198. PubMed PMID:40464726 .
  3. Li, B, Aljabri, B, Beaton, D, Al-Omran, L, Hussain, MA, Lee, DS et al.. Predicting outcomes following open abdominal aortic aneurysm repair using machine learning. Sci Rep. 2025;15 (1):14362. doi: 10.1038/s41598-025-98573-0. PubMed PMID:40274999 PubMed Central PMC12022244.
  4. Li, B, Aljabri, B, Beaton, D, Hussain, MA, Lee, DS, Wijeysundera, DN et al.. Predicting Outcomes Following Carotid Artery Stenting Using Machine Learning. J Endovasc Ther. 2025; :15266028251333670. doi: 10.1177/15266028251333670. PubMed PMID:40249213 .
  5. Kim, AY, Hanley, J, Fuhrer, R, de Mestral, C. Temporal trends in the rates of foot complications and lower-extremity amputation related to type 1 and 2 diabetes in adults in selected Canadian provinces. Can J Diabetes. 2025; :. doi: 10.1016/j.jcjd.2025.03.003. PubMed PMID:40122461 .
  6. Li, B, Eisenberg, N, Beaton, D, Lee, DS, Aljabri, B, Al-Omran, L et al.. Using Machine Learning to Predict Outcomes Following Thoracic and Complex Endovascular Aortic Aneurysm Repair. J Am Heart Assoc. 2025;14 (5):e039221. doi: 10.1161/JAHA.124.039221. PubMed PMID:40028848 PubMed Central PMC12132658.
  7. Li, B, Eisenberg, N, Beaton, D, Lee, DS, Al-Omran, L, Wijeysundera, DN et al.. Using machine learning to predict outcomes following transcarotid artery revascularization. Sci Rep. 2025;15 (1):3924. doi: 10.1038/s41598-024-81625-2. PubMed PMID:39890848 PubMed Central PMC11785798.
  8. Li, B, Eisenberg, N, Beaton, D, Lee, DS, Al-Omran, L, Wijeysundera, DN et al.. Predicting lack of clinical improvement following varicose vein ablation using machine learning. J Vasc Surg Venous Lymphat Disord. 2025;13 (3):102162. doi: 10.1016/j.jvsv.2024.102162. PubMed PMID:39732288 PubMed Central PMC11803835.
  9. Muaddi, H, Lovrics, O, Walker, RJ, de Mestral, C, Nathens, A, Stukel, TA et al.. Research methodologies for eliciting patients' preferences in invasive procedures: a scoping review. Langenbecks Arch Surg. 2024;409 (1):328. doi: 10.1007/s00423-024-03520-8. PubMed PMID:39470867 .
  10. Telesnicki, T, Nantais, J, De Mestral, C, de Buck van Overstraeten, A, Gomez, D. Long-term Outcomes Following Non-operative Management of Acute Appendicitis: A Population-based Analysis. Ann Surg. 2024; :. doi: 10.1097/SLA.0000000000006555. PubMed PMID:39411865 .
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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