Endovascular thrombectomy is cost-saving in patients with acute ischemic stroke with large infarct.

ASPECT score cost-effectiveness endovascular treatment stroke thrombectomy

Journal

Frontiers in neurology
ISSN: 1664-2295
Titre abrégé: Front Neurol
Pays: Switzerland
ID NLM: 101546899

Informations de publication

Date de publication:
2024
Historique:
received: 18 10 2023
accepted: 04 04 2024
medline: 3 5 2024
pubmed: 3 5 2024
entrez: 3 5 2024
Statut: epublish

Résumé

Endovascular thrombectomy (EVT) is the standard of care for acute large vessel occlusion stroke. Recently, the ANGEL-ASPECT and SELECT 2 trials showed improved outcomes in patients with acute ischemic Stroke presenting with large infarcts. The cost-effectiveness of EVT for this subpopulation of stroke patients has only been calculated using data from the previously published RESCUE-Japan LIMIT trial. It is, therefore, limited in its generalizability to an international population. With this study we primarily simulated patient-level costs to analyze the economic potential of EVT for patients with large ischemic stroke from a public health payer perspective based on the recently published data and secondarily identified determinants of cost-effectiveness. Costs and outcome of patients treated with EVT or only with the best medical care based on the recent prospective clinical trials ANGEL-ASPECT, SELECT2 and RESCUE-Japan LIMIT. A A Markov model was developed using treamtment outcomes derived from the most recent available literature. Deterministic and probabilistic sensitivity analyses addressed uncertainty. Endovascular treatment resulted in an incremental gain of 1.32 QALYs per procedure with cost savings of $17,318 per patient. Lifetime costs resulted to be most sensitive to the costs of the endovascular procedure. EVT is a cost-saving (i.e., dominant) strategy for patients presenting with large ischemic cores defined by inclusion criteria of the recently published ANGEL-ASPECT, SELECT2, and RESCUE-Japan LIMIT trials in comparison to best medical care in our simulation. Prospective data of individual patients need to be collected to validate these results.

Identifiants

pubmed: 38699058
doi: 10.3389/fneur.2024.1324074
pmc: PMC11064842
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1324074

Informations de copyright

Copyright © 2024 Schwarting, Froelich, Kirschke, Mehrens, Bodden, Sepp, Reis, Dimitriadis, Ricke, Zimmer, Boeckh-Behrens and Kunz.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Auteurs

Julian Schwarting (J)

Department of Diagnostic and Interventional Neuroradiology, TUM School of Medicine, Technical University Munich, Munich, Germany.
Department of Radiology/Neuroradiology, Berufsgenossenschaftliche Unfallklinik, Murnau Am Staffelsee, Germany.
Institute for Stroke and Dementia Research (ISD), LMU Munich University Hospital, Munich, Germany.

Matthias F Froelich (MF)

Department of Radiology and Nuclear Medicine, University Medical Centre Mannheim, University of Heidelberg, Mannheim, Germany.

Jan S Kirschke (JS)

Department of Diagnostic and Interventional Neuroradiology, TUM School of Medicine, Technical University Munich, Munich, Germany.

Dirk Mehrens (D)

Department of Radiology, LMU University Hospital, Munich, Germany.

Jannis Bodden (J)

Department of Diagnostic and Interventional Neuroradiology, TUM School of Medicine, Technical University Munich, Munich, Germany.

Dominik Sepp (D)

Department of Diagnostic and Interventional Neuroradiology, TUM School of Medicine, Technical University Munich, Munich, Germany.

Jonas Reis (J)

Institute of Neuroradiology, LMU University Hospital, LMU Munich, Munich, Germany.

Konstantinos Dimitriadis (K)

Institute for Stroke and Dementia Research (ISD), LMU Munich University Hospital, Munich, Germany.

Jens Ricke (J)

Department of Radiology, LMU University Hospital, Munich, Germany.

Claus Zimmer (C)

Department of Diagnostic and Interventional Neuroradiology, TUM School of Medicine, Technical University Munich, Munich, Germany.

Tobias Boeckh-Behrens (T)

Department of Diagnostic and Interventional Neuroradiology, TUM School of Medicine, Technical University Munich, Munich, Germany.

Wolfgang G Kunz (WG)

Department of Radiology, LMU University Hospital, Munich, Germany.

Classifications MeSH