Abstract

Antegrade superficial femoral artery (SFA) access for peripheral artery disease reduces the time, radiation, and contrast required with contralateral common femoral access (CFA). Yet, this technique remains underutilized in the treatment of SFA, popliteal and tibial disease, and there remains limited data on the safety and effectiveness of antegrade SFA access in the outpatient setting. A retrospective review of lower extremity peripheral arterial interventions in our office-based endovascular suite was conducted from 2013 to 2018. Interventions necessitating CFA access such as iliac, common femoral, or deep femoral artery revascularization were excluded (n=206). In addition, interventions potentially requiring large sheaths not amenable to SFA access (e.g., popliteal aneurysm) were excluded. Relevant demographic and treatment variables including postoperative complications were abstracted. We identified 718 patients, who underwent revascularization of the SFA, popliteal and tibial arteries. Antegrade SFA access was chosen in 448 patients (62.4%) with the remaining 270 patients having retrograde CFA access. Antegrade SFA access was achieved primarily with a 4-French sheath, while a majority of retrograde CFA interventions utilized a 6-French sheath for access (87.7% vs 69.5%, P<0.001). Significantly less fluoroscopy (9.5 vs 16.4min, P<0.001) and contrast (25.4 vs 38.5mL, P<0.001) were used during SFA access compared with retrograde access. Technical success was achieved in 93.2% with antegrade SFA vs 94.8% retrograde CFA access (P = 0.42). The overall rate of complications was low for both cohorts (2.7% vs 3.7%, P = 0.78) and there were no statistical differences in access site complications (1.1% vs 1.5%, P = 0.94), hematoma (0.7% vs 1.1%, P = 0.84), and pseudoaneurysm (0.4% vs 0%, P = 0.98) between techniques. Percutaneous antegrade SFA access can be performed safely in the outpatient setting and remains an effective alternative to retrograde CFA access with significantly less utilization of fluoroscopy and contrast.

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