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  • Title: Impact of Integrated Vascular Surgery Residency on General Surgery Resident and Vascular Fellow Operative Volume: A National Analysis.
    Author: Kim Y, Cui CL, Williams ZF, Long CA.
    Journal: Vasc Endovascular Surg; 2024 Apr; 58(3):302-307. PubMed ID: 37918823.
    Abstract:
    BACKGROUND: The impact of integrated vascular surgery (VS) residency (0 + 5) programs on general surgery (GS) resident and VS fellow (5 + 2) operative volume has not been investigated on a national scale. METHODS: Accreditation Council for Graduate Medical Education (ACGME) case logs were reviewed for GS resident, VS resident, and VS fellow operative volume from 2001-2021. Integrated VS resident data was available from 2012-2021, corresponding with the introduction of the 0 + 5 paradigm. Trends in operative volume were evaluated via linear regression analysis. RESULTS: The national cohort of chief GS resident graduates increased from 1005 to 1357 per year. Total operative volume also increased from 932 to 1039 cases (+7.4 cases/yr, R2 = .80, P < .0001) among GS residents. Major vascular cases decreased among GS residents from 138 to 101 cases (-2.4 cases/yr, R2 = .58, P < .0001) with a decrease in proportion of chief-level vascular cases from 30.4% to 11.9% (-1.0%/yr, R2 = .92, P < .0001). Palliative procedures (amputations and hemodialysis access) comprised a significant proportion of GS cases (median 44.7%). Concurrently, integrated VS graduates increased from 11 to 37 per year, with an increase in major vascular case volume from 506 to 658 cases (+18.4 cases/yr, R2 = .63, P = .01). Total VS fellow major case volume also increased from 369 to 444 cases (+3.5 cases/yr, R2 = .73, P < .0001). CONCLUSIONS: The introduction of the 0 + 5 intgrated VS residency paradigm has correlated with a significant decrease in GS operative experience in major vascular procedures on a national level. Traditional VS fellow case volume does not appear to be impacted by 0 + 5 integrated residents. Further analysis with program-level data may help to explain the causative relationship of these findings.
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