颅内支架植入术的双联抗血小板疗法方案和持续时间:文献综述

Milda Paliulytė, Gytis Šustickas
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引用次数: 0

摘要

研究目的。我们的目的是分析治疗未破裂动脉瘤的颅内支架植入术(支架辅助旋切术、血流分流术)中不同的抗血栓药物治疗方案和持续时间,并根据 2017-2023 年的文献综述,在立陶宛的神经介入手术中实施双联抗血小板治疗算法。研究方法与手段。由两名独立读者(MP、GŠ)在PubMed、BioMed Central、BMJ Journals、EBSCO Publishing、SAGE Journals Online、ScienceDirect、SpringerLink上对2017年1月至2023年4月发表的研究进行了全面的文献检索。研究遵循了系统综述和元分析首选报告项目(PRISMA)指南。23 项研究:其中包括 6 项回顾性队列研究、11 项回顾性病例对照研究、1 项前瞻性队列研究、1 项前瞻性随机对照研究、1 项系统文献综述研究和 3 项元分析观察性研究。结果和结论。我们发现,即使在同一国家的中心,其做法也存在广泛差异,这说明今后对双联抗血小板药物治疗(DAPT)方案和持续时间进行前瞻性研究的重要性,以便得出最佳方法并简化策略。我们建议的立陶宛神经介入手术 DAPT 算法见图 1。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dual Antiplatelet Therapy Regimens and Duration for Intracranial Stenting Procedures: Literature Review
Objectives of the study. Our aim was to analyse different antithrombotic drug regimens and duration in intracranial stenting procedures (stent assisted coiling, flow diverter) for unruptured aneurysms and based on the literature review from 2017–2023 to implement dual antiplatelet therapy algorithm for neuro-interventional procedures in Lithuania. Research methods and methodology. A comprehensive literature search of PubMed, BioMed Central, BMJ Journals, EBSCO Publishing, SAGE Journals Online, ScienceDirect, SpringerLink was conducted by two independent readers (MP, GŠ) for studies published from January 2017 to April 2023. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed. 23 studies: 6 retrospective cohort, 11 retrospective case-control, 1 prospective cohort, 1 prospective randomized-control, 1 systemic literature review, 3 metanalysis observational studies were identified. Results and conclusions. We found widespread variation in practices even among the same country centres, lending credence to the importance of a future prospective studies of dual antiplatelet drug therapy (DAPT) regimens and duration for the purpose of deriving optimal methods and streamlining tactics. Our suggested algorithm for DAPT in neuro-interventional procedures in Lithuania is provided in Graph 1.
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