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What Is the 'Optimal' Target Mismatch Criteria for Acute Ischemic Stroke?

Authors :
Chushuang Chen
Mark W. Parsons
Christopher R. Levi
Neil J. Spratt
Longting Lin
Timothy Kleinig
Kenneth Butcher
Xin Cheng
Qiang Dong
Billy O'Brien
Richard I. Avivi
Martin Krause
P. N. Sylaja
Philip Choi
Sandeep Bhuta
Congguo Yin
Jianhong Yang
Peng Wang
Weiwen Qiu
Andrew Bivard
Source :
Frontiers in Neurology, Vol 11 (2021)
Publication Year :
2021
Publisher :
Frontiers Media S.A., 2021.

Abstract

We aimed to compare Perfusion Imaging Mismatch (PIM) and Clinical Core Mismatch (CCM) criteria in ischemic stroke patients to identify the effect of these criteria on selected patient population characteristics and clinical outcomes. Patients from the INternational Stroke Perfusion Imaging REgistry (INSPIRE) who received reperfusion therapy, had pre-treatment multimodal CT, 24-h imaging, and 3 month outcomes were analyzed. Patients were divided into 3 cohorts: endovascular thrombectomy (EVT), intravenous thrombolysis alone with large vessel occlusion (IVT-LVO), and intravenous thrombolysis alone without LVO (IVT-nonLVO). Patients were classified using 6 separate mismatch criteria: PIM-using 3 different measures to define the perfusion deficit (Delay Time, Tmax, or Mean Transit Time); or CCM-mismatch between age-adjusted National Institutes of Health Stroke Scale and CT Perfusion core, defined as relative cerebral blood flow 0.05). Notably, in IVT-LVO cohort, 58.2% of the PIM-DT positive patients achieved an excellent outcome compared with 31.0% in non-mismatch patients following successful recanalization (P = 0.006).Conclusion: PIM-DT was the optimal mismatch criterion in large vessel occlusion patients, combining a high eligibility rate with better clinical response to reperfusion. No mismatch criterion was useful to identify patients who are most likely response to reperfusion in non-large vessel occlusion patients.

Details

Language :
English
ISSN :
16642295
Volume :
11
Database :
Directory of Open Access Journals
Journal :
Frontiers in Neurology
Publication Type :
Academic Journal
Accession number :
edsdoj.470388e3b33749a79d03a22dc438068f
Document Type :
article
Full Text :
https://doi.org/10.3389/fneur.2020.590766