Brain edema growth after thrombectomy is associated with comprehensive collateral blood flow.

Stroke Thrombectomy Vein

Journal

Journal of neurointerventional surgery
ISSN: 1759-8486
Titre abrégé: J Neurointerv Surg
Pays: England
ID NLM: 101517079

Informations de publication

Date de publication:
02 Nov 2023
Historique:
received: 17 08 2023
accepted: 13 10 2023
medline: 3 11 2023
pubmed: 3 11 2023
entrez: 2 11 2023
Statut: aheadofprint

Résumé

We determined whether a comprehensive assessment of cerebral collateral blood flow is associated with ischemic lesion edema growth in patients successfully treated by thrombectomy. This was a multicenter retrospective study of ischemic stroke patients who underwent thrombectomy treatment of large vessel occlusions. Collateral status was determined using the cerebral collateral cascade (CCC) model, which comprises three components: arterial collaterals (Tan Scale) and venous outflow profiles (Cortical Vein Opacification Score) on CT angiography, and tissue-level collaterals (hypoperfusion intensity ratio) on CT perfusion. Quantitative ischemic lesion net water uptake (NWU) was used to determine edema growth between admission and follow-up non-contrast head CT (ΔNWU). Three groups were defined: CCC+ (good pial collaterals, tissue-level collaterals, and venous outflow), CCC- (poor pial collaterals, tissue-level collaterals, and venous outflow), and CCCmixed (remainder of patients). Primary outcome was ischemic lesion edema growth (ΔNWU). Multivariable regression models were used to assess the primary and secondary outcomes. 538 patients were included. 157 patients had CCC+, 274 patients CCCmixed, and 107 patients CCC- profiles. Multivariable regression analysis showed that compared with patients with CCC+ profiles, CCC- (β 1.99, 95% CI 0.68 to 3.30, P=0.003) and CCC mixed (β 1.65, 95% CI 0.75 to 2.56, P<0.001) profiles were associated with greater ischemic lesion edema growth (ΔNWU) after successful thrombectomy treatment. ΔNWU (OR 0.74, 95% CI 0.68 to 0.8, P<0.001) and CCC+ (OR 13.39, 95% CI 4.88 to 36.76, P<0.001) were independently associated with functional independence. A comprehensive assessment of cerebral collaterals using the CCC model is strongly associated with edema growth and functional independence in acute stroke patients successfully treated by endovascular thrombectomy.

Sections du résumé

BACKGROUND BACKGROUND
We determined whether a comprehensive assessment of cerebral collateral blood flow is associated with ischemic lesion edema growth in patients successfully treated by thrombectomy.
METHODS METHODS
This was a multicenter retrospective study of ischemic stroke patients who underwent thrombectomy treatment of large vessel occlusions. Collateral status was determined using the cerebral collateral cascade (CCC) model, which comprises three components: arterial collaterals (Tan Scale) and venous outflow profiles (Cortical Vein Opacification Score) on CT angiography, and tissue-level collaterals (hypoperfusion intensity ratio) on CT perfusion. Quantitative ischemic lesion net water uptake (NWU) was used to determine edema growth between admission and follow-up non-contrast head CT (ΔNWU). Three groups were defined: CCC+ (good pial collaterals, tissue-level collaterals, and venous outflow), CCC- (poor pial collaterals, tissue-level collaterals, and venous outflow), and CCCmixed (remainder of patients). Primary outcome was ischemic lesion edema growth (ΔNWU). Multivariable regression models were used to assess the primary and secondary outcomes.
RESULTS RESULTS
538 patients were included. 157 patients had CCC+, 274 patients CCCmixed, and 107 patients CCC- profiles. Multivariable regression analysis showed that compared with patients with CCC+ profiles, CCC- (β 1.99, 95% CI 0.68 to 3.30, P=0.003) and CCC mixed (β 1.65, 95% CI 0.75 to 2.56, P<0.001) profiles were associated with greater ischemic lesion edema growth (ΔNWU) after successful thrombectomy treatment. ΔNWU (OR 0.74, 95% CI 0.68 to 0.8, P<0.001) and CCC+ (OR 13.39, 95% CI 4.88 to 36.76, P<0.001) were independently associated with functional independence.
CONCLUSION CONCLUSIONS
A comprehensive assessment of cerebral collaterals using the CCC model is strongly associated with edema growth and functional independence in acute stroke patients successfully treated by endovascular thrombectomy.

Identifiants

pubmed: 37918909
pii: jnis-2023-020921
doi: 10.1136/jnis-2023-020921
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: TDF reports research grants from the German Research Foundation (DFG, Project Number: 411621970) for his work as a postdoctoral scholar at Stanford University. GB reports research grants from the German Research Foundation (DFG) outside of the submitted work. GWA reports equity and consulting for iSchemaView and consulting from Medtronic. MW reports grants and funding from the NIH under the grant numbers (1U01 NS086872-01, 1U01 NS087748-01 and 1R01 NS104094). He reports compensation from Subtle Medical, Magnetic Insight, Icometrix and EMTensor for consultant services and employment by the University of Texas MD Anderson Cancer Center. JF reports stock holdings in Tegus Medical and grants and personal fees from Acandis, Cerenovus, MicroVention, Medtronic, Stryker, Phenox and grants from Route 92 outside the submitted work. JJH reports consulting for Medtronic and MicroVention and Medical and Scientific Advisory Board membership for iSchemaView.

Auteurs

Tobias D Faizy (TD)

Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany t.faizy@uke.de.

Laurens Winkelmeier (L)

Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

Michael Mlynash (M)

Department of Neurology, Stanford Stroke Center, Stanford University, Stanford, California, USA.

Gabriel Broocks (G)

Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

Christian Heitkamp (C)

Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

Christian Thaler (C)

Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

Noel van Horn (N)

Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

Pierre Seners (P)

Neurology, Fondation Rothschild, Paris, France.

Helge Kniep (H)

Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

Paul Stracke (P)

Section of Interventional Neuroradiology, University Hospital Munster, Munster, Germany.

Kamil Zelenak (K)

Clinic of Radiology, Comenius University in Bratislava Jessenius Faculty of Medicine in Martin, Martin, Slovakia.
Clinic of Radiology, University Hospital Martin, Martin, Slovakia.

Maarten G Lansberg (MG)

Department of Neurology, Stanford Stroke Center, Stanford University, Stanford, California, USA.

Gregory W Albers (GW)

Stanford Stroke Center, Stanford Medicine, Stanford, California, USA.

Max Wintermark (M)

Department of Neuroradiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.

Jens Fiehler (J)

Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

Jeremy J Heit (JJ)

Radiology, Neuroadiology and Neurointervention Division, Stanford University, Stanford, California, USA.

Classifications MeSH