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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, Al-Omran, L, Wijeysundera, DN et al.. Predicting 1-year successful clinical use of an arteriovenous access for hemodialysis using machine learning. NPJ Digit Med. 2025; :. doi: 10.1038/s41746-025-02187-9. PubMed PMID:41345783 .
  2. Telesnicki, T, Stukel, TA, de Buck van Overstraeten, A, Wilton, A, de Mestral, C, Gomez, D et al.. Evaluating the association between a backlog of scheduled colectomies for diverticulitis and concurrent rates of emergency diverticulitis procedures: a natural experiment using population-based data. J Gastrointest Surg. 2025;29 (12):102257. doi: 10.1016/j.gassur.2025.102257. PubMed PMID:41101380 .
  3. Li, B, Eisenberg, N, Beaton, D, Lee, DS, Al-Omran, L, Wijeysundera, DN et al.. Reply. J Vasc Surg. 2025;82 (4):1545-1547. doi: 10.1016/j.jvs.2025.06.037. PubMed PMID:40967721 .
  4. Basiri, R, de Mestral, C, Popovic, MR, Khan, SS. Accessible healing phase classification of diabetic foot ulcer. Comput Biol Med. 2025;197 (Pt B):111066. doi: 10.1016/j.compbiomed.2025.111066. PubMed PMID:40945216 .
  5. Blanchette, V, Fakhfakh, M, Andoulsi, Y, Brousseau-Foley, M, Pallin, JA, Buckley, C et al.. Exploring diabetic foot screening programs with integrated consolidated framework for implementation: Rapid review protocol. HRB Open Res. 2025;8 :49. doi: 10.12688/hrbopenres.14119.1. PubMed PMID:40756815 PubMed Central PMC12314480.
  6. Li, B, Aljabri, B, Beaton, D, Al-Omran, L, Hussain, MA, Lee, DS et al.. Predicting outcomes following endovascular aortoiliac revascularization using machine learning. NPJ Digit Med. 2025;8 (1):475. doi: 10.1038/s41746-025-01865-y. PubMed PMID:40707760 PubMed Central PMC12289885.
  7. Ip, S, Salata, K, Luo, J, de Mestral, C, Roche-Nagle, G. Predictors of inferior vena cava filter retrieval in a population-based Canadian cohort. J Vasc Surg Venous Lymphat Disord. 2025;13 (6):102283. doi: 10.1016/j.jvsv.2025.102283. PubMed PMID:40581334 PubMed Central PMC12311594.
  8. 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 Type 2 Diabetes in Adults in Selected Canadian Provinces. Can J Diabetes. 2025;49 (5-6):284. doi: 10.1016/j.jcjd.2025.05.010. PubMed PMID:40473071 .
  9. 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;82 (2):617-631.e8. doi: 10.1016/j.jvs.2025.03.198. PubMed PMID:40464726 .
  10. 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.
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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