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Procedure-Related Complication Rates With the Use of Vascular Closure Devices; Does Size Only Matter? A Large Single Centre Retrospective Study

医学 血管闭合器 假性动脉瘤 血管成形术 外科 回顾性队列研究 并发症 腹股沟 股动脉 放射科
作者
Sifut Sethi,Jakub Michalski,Rand Moh’d Elayyan Al-shboul,Frank Carey,Kelvin Bryan Tan,Tariq Ali
出处
期刊:Vascular and Endovascular Surgery [SAGE]
标识
DOI:10.1177/15385744241276688
摘要

Introduction Our retrospective study aimed at assessing safety of vascular closure devices (VCDs) used in a large single-centre Interventional Radiology (IR) department. Complication and deployment failure rates using collagen-based (Angio-seal) and suture-based (ProGlide) devices for common femoral artery haemostasis were compared. Materials and Methods Data from VCDs deployed over a 6-year period were retrospectively analysed for patient age, procedure indication, puncture mode (antegrade/retrograde), sheath size, deployment failure and complications (haematoma, pseudoaneurysm formation, limb occlusion). Numerical and statistical analysis was undertaken. Results Overall, 1321 common femoral artery punctures in 1217 patients were closed using VCDs. Failure rate using ProGlide was significantly higher when compared with Angio-seal ( P=<0.001) in sheath sizes ≤8 Fr. Heparin was not administered in embolisation procedures compared with angioplasty with or without stenting. Therefore, haematoma tended to occur more frequently following angioplasty without stenting ( P = 0.003) and angioplasty with stenting ( P = 0.001), when compared with embolisation. Deployment failure occurred more frequently when heparin was used during the procedure ( P = 0.005). Conclusion Although complications relating to sheath size are well established in the literature, there remains a paucity of data assessing the impact of procedure specific factors when comparing VCDs. Our study challenges that size is the sole determinant of VCD success and invites a more holistic view of VCD deployment strategies. This study advocates continued research into the nuances of other potential confounding variables to optimise patient outcomes.

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