Tobias Boeckh-Behrens1, Justus F Kleine2, Claus Zimmer2, Frauke Neff2, Fabian Scheipl2, Jaroslav Pelisek2, Lucas Schirmer2, Kim Nguyen2, Deniz Karatas2, Holger Poppert2. 1. From the Department of Neuroradiology (T.B.-B., J.F.K., C.Z.), Department of Vascular and Endovascular Surgery (J.P.), and Department of Neurology (L.S., K.N., D.K., H.P.), University Hospital Rechts der Isar, Technical University Munich, Munich, Germany; Department of Pathology, German Research Centre for Environmental Health, Munich, Germany (F.N.); and Department of Statistics, Ludwig-Maximilians-University Munich, Munich, Germany (F.S.). boeckh-behrens@tum.de. 2. From the Department of Neuroradiology (T.B.-B., J.F.K., C.Z.), Department of Vascular and Endovascular Surgery (J.P.), and Department of Neurology (L.S., K.N., D.K., H.P.), University Hospital Rechts der Isar, Technical University Munich, Munich, Germany; Department of Pathology, German Research Centre for Environmental Health, Munich, Germany (F.N.); and Department of Statistics, Ludwig-Maximilians-University Munich, Munich, Germany (F.S.).
Abstract
BACKGROUND AND PURPOSE: Ischemic stroke of undetermined cause is a major health issue because of its high frequency and clinical relevance. Histopathologic analysis of human thrombi, retrieved from stroke patients with large-vessel occlusion during mechanical thrombectomy, may provide information about underlying pathologies. This study examines the relationship between stroke causes and histological clot composition to identify specific patterns that might help to distinguish causes of cryptogenic stroke. METHODS: Thrombi of 145 consecutive stroke patients with large-vessel occlusion were collected during intracranial mechanical recanalization. The hematoxylin and eosin-stained specimens were quantitatively analyzed in terms of the relative fractions of the main constituents (red and white blood cells and fibrin/platelets). These data, along with additional clinical and interventional parameters, were compared for different stroke subtypes, as defined by the international Trial of Org 10172 in Acute Stroke Treatment criteria. RESULTS: The composition of thrombi from cardioembolic and noncardioembolic stroke patients differed significantly for all main thrombus components. Cardioembolic thrombi had higher proportions of fibrin/platelets (P=0.009), less erythrocytes (P=0.003), and more leucocytes (P=0.035) than noncardioembolic thrombi. Cryptogenic strokes showed strong overlap with cardioembolic strokes but not with noncardioembolic strokes, in terms of both thrombus histology and interventional and clinical outcome parameters. CONCLUSIONS: Quantitative evaluation of thrombus composition may help to distinguish between different stroke causes. Our findings support the notion that the majority of cryptogenic strokes are cardioembolic.
BACKGROUND AND PURPOSE: Ischemic stroke of undetermined cause is a major health issue because of its high frequency and clinical relevance. Histopathologic analysis of human thrombi, retrieved from strokepatients with large-vessel occlusion during mechanical thrombectomy, may provide information about underlying pathologies. This study examines the relationship between stroke causes and histological clot composition to identify specific patterns that might help to distinguish causes of cryptogenic stroke. METHODS: Thrombi of 145 consecutive strokepatients with large-vessel occlusion were collected during intracranial mechanical recanalization. The hematoxylin and eosin-stained specimens were quantitatively analyzed in terms of the relative fractions of the main constituents (red and white blood cells and fibrin/platelets). These data, along with additional clinical and interventional parameters, were compared for different stroke subtypes, as defined by the international Trial of Org 10172 in Acute Stroke Treatment criteria. RESULTS: The composition of thrombi from cardioembolic and noncardioembolic strokepatients differed significantly for all main thrombus components. Cardioembolic thrombi had higher proportions of fibrin/platelets (P=0.009), less erythrocytes (P=0.003), and more leucocytes (P=0.035) than noncardioembolic thrombi. Cryptogenic strokes showed strong overlap with cardioembolic strokes but not with noncardioembolic strokes, in terms of both thrombus histology and interventional and clinical outcome parameters. CONCLUSIONS: Quantitative evaluation of thrombus composition may help to distinguish between different stroke causes. Our findings support the notion that the majority of cryptogenic strokes are cardioembolic.
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