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Interv Neuroradiol ; 26(4): 376-382, 2020 Aug.
Article in English | MEDLINE | ID: mdl-32183596

ABSTRACT

BACKGROUND: Data on the treatment with recurrent mechanical thrombectomy of patients with acute ischemic stroke with recurrent large vessel occlusion are limited. We report our experience with recurrent mechanical thrombectomy for recurrent large vessel occlusion. METHODS: During the period between May 2013 and August 2018, data on patients with recurrent large vessel occlusion were collected. Baseline clinical characteristics, recanalization technique, recanalization rates and clinical outcomes of patients with recurrent large vessel occlusion treated with mechanical thrombectomy were analyzed. Patients with recurrent large vessel occlusion treated with mechanical thrombectomy were compared with patients who underwent single mechanical thrombectomy. RESULTS: During the study period, 7 of 474 patients (1.5%) were treated with mechanical thrombectomy for recurrent large vessel occlusion. The mean age of these patients was 64.4 (±7.9) years, and the mean time interval between thrombectomies was 47 (±48) h. The median baseline National Institutes of Health Stroke Scale (NIHSS) was 12 (range 5-24) before the first and 20 (range 3-34) before the second procedure; the mean NIHSS at discharge was 5 (range 2-25). Good clinical outcome after repeated mechanical thrombectomy defined as modified Rankin scale of 0-2 was achieved in 29% of patients at three months of follow-up. CONCLUSIONS: Repeat mechanical thrombectomy is a rare procedure, but appears to be a feasible, safe and effective treatment option in patients with acute ischemic stroke and early recurrent large vessel occlusion.


Subject(s)
Endovascular Procedures/methods , Ischemic Stroke/surgery , Thrombectomy/methods , Aged , Angiography, Digital Subtraction , Cerebral Angiography , Cerebrovascular Circulation , Computed Tomography Angiography , Female , Humans , Ischemic Stroke/diagnostic imaging , Male , Middle Aged , Recurrence , Reoperation , Retrospective Studies , Severity of Illness Index
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