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Kevin Eddinger, MD, Vascular Surgery, San Francisco, CA

Kevin Connor Eddinger MD


Vascular and Endovascular Surgery Fellow, University of California San Francisco

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  • 400 Parnassus AveSuite 501San Francisco, CA 94143

  • Phone+1 215-713-5943

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Summary

  • UCSF Vascular Surgery Fellow. Penn Surgery graduate. Penn Med and Penn State alumnus.

Education & Training

  • University of California (San Francisco)
    University of California (San Francisco)Fellowship, Vascular Surgery - Independent, 2023 - 2025
  • University of Pennsylvania Health System
    University of Pennsylvania Health SystemResidency, Surgery, 2016 - 2023
  • Perelman School of Medicine at the University of Pennsylvania
    Perelman School of Medicine at the University of PennsylvaniaClass of 2016, M.D.
  • The Pennsylvania State University
    The Pennsylvania State UniversityBS, Chemical Engineering, with Distinction, 2008 - 2012

Certifications & Licensure

  • CA State Medical License
    CA State Medical License 2023 - 2027
  • PA State Medical License
    PA State Medical License 2018 - 2026
  • Surgery
    American Board of Surgery Surgery
  • ACLS
    American Heart AssociationACLS

Awards, Honors, & Recognition

  • "Good Catch" Patient Safety Award Hospital of the University of Pennsylvania, 2019
  • I.S. Ravdin Prize Perelman School of Medicine at the University of Pennsylvania, 2016

Publications & Presentations

PubMed

Abstracts/Posters

  • Superior Outcomes in HIV-positive kidney transplant patients compared to HCV-infected or HIV/HCV co-infected recipients.
    Kevin Eddinger, Deirdre Sawinski, M.D., Kimberly Forde, M.D., Emily Blumberg, M.D., Pablo Tebas, M.D., Peter L. Abt, M.D., and Roy D. Bloom, M.D., Biomedical, Health and Natural Sciences Research Day, University of Pennsylvania, 4/18/2014

Research History

  • Harrison Research Fellow, Department of Surgery, Hospital of the University of PennsylvaniaPerformed research in the lab of Benjamin Jackson, MD investigating predictors of aortic aneurysmal growth and rupture using novel computational and image analysis techniques.2019 - 2021

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