Glycoprotein inhibitors as a first line rescue treatment after unsuccessful recanalization of endovascular thrombectomy: A systematic review and meta-analysis.

Acute ischemic stroke glycoprotein inhibitor intracranial atherosclerosis rescue treatment

Journal

Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences
ISSN: 2385-2011
Titre abrégé: Interv Neuroradiol
Pays: United States
ID NLM: 9602695

Informations de publication

Date de publication:
10 Jan 2024
Historique:
medline: 11 1 2024
pubmed: 11 1 2024
entrez: 11 1 2024
Statut: aheadofprint

Résumé

Intracranial atherosclerotic disease (ICAD) is a major cause of stroke with a high rate of re-occlusion following mechanical thrombectomy (MT). Among the available rescue options, glycoprotein IIb/IIIa inhibitors (GPI) have shown promise as a potential therapeutic strategy. This systematic review and meta-analysis examine studies exploring the use of glycoprotein inhibitors as a first-line treatment for refractory occlusion or high-grade stenosis following EVT in the setting of ICAD. A systematic review and meta-analysis were performed. Studies using GPI as the first-line rescue treatment (GPI-rt) after failed thrombectomy or in the setting with high-grade stenosis (>50%) were included. The primary outcome of interest was good clinical outcomes (defined as a modified Rankin Scale (mRS) score of 0-2 at 90 days). Secondary outcomes of interest were successful recanalization (TICI 2b-3), symptomatic intracranial hemorrhage (sICH), and mortality by 90 days. Our study processed 2111 articles, which yielded eight relevant studies for review, four single and four double arm. These studies comprised 763 patients, divided into GPI-rt (535 patients) and non-GPI-rt (228 patients) cohorts. The GPI-rt group had higher rates of mRS ≤ 2 at 90 days (58.5% vs 38.9%, First line GPI-rt demonstrates significant clinical benefit and significantly lower mortality without a rise in rates of sICH. GPI are a potential first line rescue treatment of ICAD.

Sections du résumé

BACKGROUND BACKGROUND
Intracranial atherosclerotic disease (ICAD) is a major cause of stroke with a high rate of re-occlusion following mechanical thrombectomy (MT). Among the available rescue options, glycoprotein IIb/IIIa inhibitors (GPI) have shown promise as a potential therapeutic strategy. This systematic review and meta-analysis examine studies exploring the use of glycoprotein inhibitors as a first-line treatment for refractory occlusion or high-grade stenosis following EVT in the setting of ICAD.
METHODS METHODS
A systematic review and meta-analysis were performed. Studies using GPI as the first-line rescue treatment (GPI-rt) after failed thrombectomy or in the setting with high-grade stenosis (>50%) were included. The primary outcome of interest was good clinical outcomes (defined as a modified Rankin Scale (mRS) score of 0-2 at 90 days). Secondary outcomes of interest were successful recanalization (TICI 2b-3), symptomatic intracranial hemorrhage (sICH), and mortality by 90 days.
RESULTS RESULTS
Our study processed 2111 articles, which yielded eight relevant studies for review, four single and four double arm. These studies comprised 763 patients, divided into GPI-rt (535 patients) and non-GPI-rt (228 patients) cohorts. The GPI-rt group had higher rates of mRS ≤ 2 at 90 days (58.5% vs 38.9%,
CONCLUSIONS CONCLUSIONS
First line GPI-rt demonstrates significant clinical benefit and significantly lower mortality without a rise in rates of sICH. GPI are a potential first line rescue treatment of ICAD.

Identifiants

pubmed: 38204180
doi: 10.1177/15910199241226470
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

15910199241226470

Déclaration de conflit d'intérêts

Declaration of conflicting interestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Auteurs

Aaron Brake (A)

Department of Neurology, University of Iowa Hospitals and Clinics, Iowa City, IA, USA.
University of Kansas School of Medicine, Kansas City, KS, USA.

Cody Heskett (C)

University of Kansas School of Medicine, Kansas City, KS, USA.

Naima Alam (N)

Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, USA.

Lane Fry (L)

University of Kansas School of Medicine, Kansas City, KS, USA.

Kevin Le (K)

University of Kansas School of Medicine, Kansas City, KS, USA.

Jonathan D Mahnken (JD)

Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, USA.

Michael Abraham (M)

Department of Neurology, University of Kansas Health System, Kansas City, KS, USA.

Classifications MeSH