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Predictors of functional outcome after thrombectomy for M2 occlusions: a large scale experience from clinical practice

Helge Kniep, Lukas Meyer, Gabriel Broocks, Matthias Bechstein, Helena Guerreiro, Laurens Winkelmeier, Caspar Brekenfeld, Fabian Flottmann, Milani Deb‐Chatterji, Anna Alegiani, Uta Hanning, Götz Thomalla, Jens Fiehler, Susanne Gellißen, The German Stroke Registry – Endovascular Treatment (GSR – ET), Joachim Röther, Bernd Eckert, Michael Braun, Gerhard F. Hamann, Eberhard Siebert, Christian H. Nolte, Sarah Zweynert, Georg Böhner, Jörg Berrouschot, Albrecht Bormann, Christoffer Kraemer, Hannes Leischner, Jörg Hattingen, Martina Petersen, Florian Stögbauer, Boeckh-Behrens, Silke Wunderlich, Alexander Ludolph, Karl‐Heinz Henn, Christian Gerloff, Jens Fiehler, Götz Thomalla, Anna Alegiani, Maximilian Schell, Arno Reich, Omid Nikoubashman, Franziska Dorn, Gabor C. Petzold, Jan Liman, Jan Hendrik Schäfer, Fee Keil, Klaus Gröschel, Timo Uphaus, Peter D. Schellinger, Jan Borggrefe, Steffen Tiedt, Lars Kellert, Christoph Trumm, Ulrike Ernemann, Sven Poli, Christian Riedel, Marielle Ernst

2023Scientific Reports14 citationsDOIOpen Access PDF

Abstract

Mechanical thrombectomy (MT) for acute ischemic stroke with medium vessel occlusions is still a matter of debate. We sought to identify factors associated with clinical outcome after MT for M2-occlusions based on data from the German Stroke Registry-Endovascular Treatment (GSR-ET). All patients prospectively enrolled in the GSR-ET from 05/2015 to 12/2021 were analyzed (NCT03356392). Inclusion criteria were primary M2-occlusions and availability of relevant clinical data. Factors associated with excellent/good outcome (modified Rankin scale mRS 0-1/0-2), poor outcome/death (mRS 5-6) and mRS-increase pre-stroke to day 90 were determined in multivariable logistic regression. 1348 patients were included. 1128(84%) had successful recanalization, 595(44%) achieved good outcome, 402 (30%) had poor outcome. Successful recanalization (odds ratio [OR] 4.27 [95% confidence interval 3.12-5.91], p < 0.001), higher Alberta stroke program early CT score (OR 1.25 [1.18-1.32], p < 0.001) and i.v. thrombolysis (OR 1.28 [1.07-1.54], p < 0.01) increased probability of good outcome, while age (OR 0.95 [0.94-0.95], p < 0.001), higher pre-stroke-mRS (OR 0.36 [0.31-0.40], p < 0.001), higher baseline NIHSS (OR 0.89 [0.88-0.91], p < 0.001), diabetes (OR 0.52 [0.42-0.64], p < 0.001), higher number of passes (OR 0.75 [0.70-0.80], p < 0.001) and intracranial hemorrhage (OR 0.26 [0.14-0.46], p < 0.001) decreased the probability of good outcome. Additional predictors of mRS-increase pre-stroke to 90d were dissections, perforations (OR 1.59 [1.11-2.29], p < 0.05) and clot migration, embolization (OR 1.67 [1.21-2.30], p < 0.01). Corresponding to large-vessel-occlusions, younger age, low pre-stroke-mRS, low severity of acute clinical disability, i.v. thrombolysis and successful recanalization were associated with good outcome while diabetes and higher number of passes decreased probability of good outcome after MT in M2 occlusions. Treatment related complications increased probability of mRS increase pre-stroke to 90d.

Topics & Concepts

MedicineModified Rankin ScaleThrombolysisOdds ratioInternal medicineConfidence intervalStroke (engine)Logistic regressionIntracerebral hemorrhageIschemic strokeSurgeryCardiologyIschemiaMyocardial infarctionSubarachnoid hemorrhageMechanical engineeringEngineeringAcute Ischemic Stroke ManagementVenous Thromboembolism Diagnosis and ManagementStroke Rehabilitation and Recovery