Predictors of aneurysm occlusion after treatment with flow diverters: a systematic literature review.

Aneurysm Flow Diverter

Journal

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

Informations de publication

Date de publication:
14 Jun 2023
Historique:
received: 12 12 2022
accepted: 24 05 2023
medline: 15 6 2023
pubmed: 15 6 2023
entrez: 14 6 2023
Statut: aheadofprint

Résumé

Flow diverters (FDs) have become an integral part of treatment for brain aneurysms. To summarize available evidence of factors associated with aneurysm occlusion (AO) after treatment with a FD. References were identified using the Nested Knowledge AutoLit semi-automated review platform between January 1, 2008 and August 26, 2022. The review focuses on preprocedural and postprocedural factors associated with AO identified in logistic regression analysis. Studies were included if they met the inclusion criteria of study details (ie, study design, sample size, location, (pre)treatment aneurysm details). Evidence levels were classified by variability and significancy across studies (eg, low variability ≥5 studies and significance in ≥60% throughout reports). Overall, 2.03% (95% CI 1.22 to 2.82; 24/1184) of screened studies met the inclusion criteria for predictors of AO based on logistic regression analysis. Predictors of AO with low variability in multivariable logistic regression analysis included aneurysm characteristics (aneurysm diameter), particularly complexity (absence of branch involvement) and younger patient age. Predictors of moderate evidence for AO included aneurysm characteristics (neck width), patient characteristics (absence of hypertension), procedural (adjunctive coiling) and post-deployment variables (longer follow-up; direct postprocedural satisfactory occlusion). Variables with a high variability in predicting AO following FD treatment were gender, FD as re-treatment strategy, and aneurysm morphology (eg, fusiform or blister). Evidence of predictors for AO after FD treatment is sparse. Current literature suggests that absence of branch involvement, younger age, and aneurysm diameter have the highest impact on AO following FD treatment. Large studies investigating high-quality data with well-defined inclusion criteria are needed for greater insight into FD effectiveness.

Sections du résumé

BACKGROUND BACKGROUND
Flow diverters (FDs) have become an integral part of treatment for brain aneurysms.
AIM OBJECTIVE
To summarize available evidence of factors associated with aneurysm occlusion (AO) after treatment with a FD.
METHODS METHODS
References were identified using the Nested Knowledge AutoLit semi-automated review platform between January 1, 2008 and August 26, 2022. The review focuses on preprocedural and postprocedural factors associated with AO identified in logistic regression analysis. Studies were included if they met the inclusion criteria of study details (ie, study design, sample size, location, (pre)treatment aneurysm details). Evidence levels were classified by variability and significancy across studies (eg, low variability ≥5 studies and significance in ≥60% throughout reports).
RESULTS RESULTS
Overall, 2.03% (95% CI 1.22 to 2.82; 24/1184) of screened studies met the inclusion criteria for predictors of AO based on logistic regression analysis. Predictors of AO with low variability in multivariable logistic regression analysis included aneurysm characteristics (aneurysm diameter), particularly complexity (absence of branch involvement) and younger patient age. Predictors of moderate evidence for AO included aneurysm characteristics (neck width), patient characteristics (absence of hypertension), procedural (adjunctive coiling) and post-deployment variables (longer follow-up; direct postprocedural satisfactory occlusion). Variables with a high variability in predicting AO following FD treatment were gender, FD as re-treatment strategy, and aneurysm morphology (eg, fusiform or blister).
CONCLUSION CONCLUSIONS
Evidence of predictors for AO after FD treatment is sparse. Current literature suggests that absence of branch involvement, younger age, and aneurysm diameter have the highest impact on AO following FD treatment. Large studies investigating high-quality data with well-defined inclusion criteria are needed for greater insight into FD effectiveness.

Identifiants

pubmed: 37316195
pii: jnis-2022-019993
doi: 10.1136/jnis-2022-019993
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© Author(s) (or their employer(s)) 2023. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: JF: research support from the German Ministry of Science and Education (BMBF), German Ministry of Economy and Innovation (BMWi), German Research Foundation (DFG), European Union (EU), Hamburgische Investitions-/Förderbank (IFB), Medtronic, Microvention, Philips, Stryker; consultancy appointments; Acandis, Bayer, Boehringer Ingelheim, Cerenovus, Covidien, Evasc Neurovascular, MD Clinicals, Medtronic, Medina, Microvention, Penumbra, Route92, Stryker, Transverse Medical; stock holdings for Tegus, JNIS associate editor. KMK: works for, and holds equity in, Nested Knowledge, works for Conway Medical, and holds equity in Piraeus Medical and Superior Medical Experts. TNN: reports research support from Medtronic and SVIN. KZ: support under the operational program Integrated Infrastructure for the project: TENSION—complementary project, IMTS: 313011W875, co-financed by the European Regional Development Fund. AR: consultant for Balt and Medtronic. LM: received financial compensation as a speaker for Balt Prime. MM-G: JNIS associate editor. The other authors report no conflict of interest.

Auteurs

Lukas Meyer (L)

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

Christian Paul Stracke (CP)

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

Maxim Bester (M)

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

Kevin M Kallmes (KM)

Nested Knowledge, Inc, Saint Paul, Minnesota, USA.

Kamil Zeleňák (K)

Department of Radiology, Comenius University's Jessenius Faculty of Medicine and University Hospital, Martin, Slovakia.

Aymeric Rouchaud (A)

Department of Interventional Neuroradiology, Centre Hospitalier Universitaire de Limoges, Limoges, France.

Mario Martínez-Galdámez (M)

Department of Interventional Neuroradiology, Hospital Clínico Universitario de Valladolid, Valladolid, Spain.

Pascal Jabbour (P)

Department of Neurosurgery, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania, USA.

Thanh N Nguyen (TN)

Departments of Radiology and Neurology, Boston Medical Center, Boston, Massachusetts, USA.

Adnan H Siddiqui (AH)

Department of Neurosurgery, University at Buffalo, Buffalo, New York, USA.

Jens Fiehler (J)

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

Susanne Gellissen (S)

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

Classifications MeSH