Multicentric validation of a reduced features case-mix set for predicting functional outcome after ischemic stroke in Belgium.


Journal

Acta neurologica Belgica
ISSN: 2240-2993
Titre abrégé: Acta Neurol Belg
Pays: Italy
ID NLM: 0247035

Informations de publication

Date de publication:
Apr 2023
Historique:
received: 08 02 2022
accepted: 06 11 2022
medline: 28 4 2023
pubmed: 22 11 2022
entrez: 21 11 2022
Statut: ppublish

Résumé

Ischemic stroke is the second cause of death and leading cause of severe disability worldwide. A reduced features set of CT-DRAGON (age, NIHSS on admission and pre-stroke mRS) predicts 90-day functional outcome after stroke in a single center. The current study was designed to validate this adapted CT-DRAGON score in three major Belgian hospitals, in the framework of future case-mix adjustment. This retrospective study included stroke patients, treated by thrombolysis, thrombectomy, a combination of both or neither thrombolysis or thrombectomy (conservative treatment) in 2019. Patient characteristics and 90-day mRS were collected. Multivariable logistic regression analysis of 90-day mRS 0-2 vs. 3-6 and 0-5 vs. 6 with the reduced features set was performed. Discriminative performance was assessed by the area under the receiver operating characteristic curve (AUROC). Thirty-three percent of patients (413/1243) underwent treatment. Majority of strokes was treated conservatively (n = 830, 67%), 18% (n = 225) was treated by thrombolysis, 7% (n = 88) by thrombectomy and 8% (n = 100) by thrombolysis and thrombectomy. Age, NIHSS and pre-stroke mRS were independently associated with 90-day mRS 0-2 (all p ≤ 0.0001, AUROC 0.88). When treatment modality was added in the model, age, NIHSS, pre-stroke mRS and treatment modality were independently associated with 90-day mRS 0-2 (p < 0.0001, p < 0.0001, p < 0.0001 and p = 0.0001) AUROC 0.89). Age, NIHSS, pre-stroke mRS and treatment modality were independently associated with 90-day survival (p = 0.0001, p < 0.0001, p < 0.0001 and p = 0.008, AUROC 0.86). The reduced features set (age, NIHSS and pre-mRS) was independently associated with long-term functional outcome in a Belgian multicentric cohort, making it useful for case-mix adjustments in Belgian stroke centers. Treatment modality was associated with long-term outcome.

Identifiants

pubmed: 36409450
doi: 10.1007/s13760-022-02142-5
pii: 10.1007/s13760-022-02142-5
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

545-551

Subventions

Organisme : Stichting Euregio Maas-Rijn
ID : EMR90

Investigateurs

Luc Stockx (L)
Tom De Beule (T)
Geert Maleux (G)
Olivier François (O)
Ludovic Ernon (L)
Pascal Vanelderen (P)

Informations de copyright

© 2022. The Author(s) under exclusive licence to Belgian Neurological Society.

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Auteurs

Sofie Ordies (S)

Department of Anesthesiology, Intensive Care Medicine, Emergency Medicine and Pain Therapy, Ziekenhuis Oost-Limburg Genk, Genk, Belgium.
Department of Anesthesiology, University Hospitals Leuven, Leuven, Belgium.

Anouk Lesenne (A)

Department of Anesthesiology, Intensive Care Medicine, Emergency Medicine and Pain Therapy, Ziekenhuis Oost-Limburg Genk, Genk, Belgium.
Department of Anesthesiology and Perioperative Medicine, Ghent University Hospital, Ghent, Belgium.

Kim Bekelaar (K)

Department of Neurology, Ziekenhuis Oost-Limburg Genk, Genk, Belgium.

Jelle Demeestere (J)

Department of Neurology, University Hospitals Leuven, Leuven, Belgium.

Robin Lemmens (R)

Department of Neurology, University Hospitals Leuven, Leuven, Belgium.

Peter Vanacker (P)

Department of Neurology, AZ Groeninge Kortrijk, Kortrijk, Belgium.
Neurovascular Center and Stroke Unit Antwerp, Antwerp University Hospital, Antwerp, Belgium.
Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium.

Dieter Mesotten (D)

Department of Anesthesiology, Intensive Care Medicine, Emergency Medicine and Pain Therapy, Ziekenhuis Oost-Limburg Genk, Genk, Belgium. dieter.mesotten@zol.be.
Faculty of Medicine and Life Sciences, University of Hasselt, Diepenbeek, Belgium. dieter.mesotten@zol.be.

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