医学
改良兰金量表
导管
闭塞
纸牌密码算法
外科
冲程(发动机)
血管内治疗
支架
第一次通过
缺血性中风
内科学
缺血
动脉瘤
机械工程
数学
工程类
算术
作者
Manuel Requena,Carlos Piñana,Marta Olivé‐Gadea,David Hernández,Sandra Boned,Marta De Dios,M Alcalde Rodrigo,Eila Rivera,Marián Muchada,José V. Cuevas,Marta Rubiera,Álvaro García‐Tornel,Laura Ludovica Gramegna,Carlos A. Molina,Marc Ribó,Alejandro Tomasello
标识
DOI:10.1177/15910199221095798
摘要
Introduction Mechanical thrombectomy (MT) with combined treatment including both a stent retriever and distal aspiration catheter may improve recanalization rates in patients with acute ischemic stroke (AIS) due to large vessel occlusion (LVO). Here, we evaluated the effectiveness and safety of the REACT aspiration catheter used with a stent retriever. Methods This prospective study included consecutive adult patients who underwent MT with a combined technique using REACT 68 and/or 71 between June 2020 and July 2021. The primary endpoints were final and first pass mTICI 2b-3 and mTICI 2c-3 recanalization. Analysis was performed after first pass and after each attempt. Secondary safety outcomes included procedural complications, symptomatic intracranial hemorrhage (sICH) at 24 h, in-hospital mortality, and 90-day functional independence (modified Rankin Scale [mRS] 0–2). Results A total of 102 patients were included (median age 78; IQR: 73–87; 50.0% female). At baseline, median NIHSS score was 19 (IQR: 11–21), and ASPECTS was 9 (IQR: 8–10). Final mTICI 2b-3 recanalization was achieved in 91 (89.2%) patients and mTICI 2c-3 was achieved in 66 (64.7%). At first pass, mTICI 2b-3 was achieved in 55 (53.9%) patients, and mTICI 2c-3 in 37 (36.3%). The rate of procedural complications was 3.9% (4/102), sICH was 6.8% (7/102), in-hospital mortality was 12.7% (13/102), and 90-day functional independence was 35.6% (36/102). Conclusion A combined MT technique using a stent retriever and REACT catheter resulted in a high rate of successful recanalization and first pass recanalization in a sample of consecutive patients with AIS due to LVO in clinical use.
科研通智能强力驱动
Strongly Powered by AbleSci AI