Predictors of malignant swelling in space-occupying cerebellar infarction.

Cerebral Infarction Cerebrovascular Disorders Cranial Fossa, Posterior Ischemic Stroke Stroke

Journal

Stroke and vascular neurology
ISSN: 2059-8696
Titre abrégé: Stroke Vasc Neurol
Pays: England
ID NLM: 101689996

Informations de publication

Date de publication:
29 Aug 2024
Historique:
received: 26 04 2024
accepted: 16 07 2024
medline: 31 8 2024
pubmed: 31 8 2024
entrez: 29 8 2024
Statut: aheadofprint

Résumé

Malignant swelling is a fatal complication that can occur abruptly in space-occupying cerebellar infarction. We aimed to establish markers that predict malignant swelling in cerebellar infarction. We retrospectively analysed data of stroke patients who were treated in our hospital between 2014 and 2020. Malignant swelling was defined as a mass effect in the posterior cranial fossa, accompanied by a decrease in consciousness due to compression of the brainstem and/or the development of obstructive hydrocephalus. Statistical analyses were performed on multiple variables to identify predictors of malignant swelling. Among 7284 stroke patients, we identified 487 patients with an infarct in the cerebellum. 93 patients were suitable for analysis having space-occupying cerebellar infarction. 33 of 93 (35.5%) patients developed malignant swelling.Multivariable analysis revealed infarct volume as the main predictor being independently associated with the development of malignant swelling with a cut-off infarct volume of 38 cm Infarct volume was the key significant predictor of malignant swelling in space-occupying cerebellar infarction. With many cases of malignant swelling occurring after more than 72 hours, we advocate prolonged neurological monitoring.

Sections du résumé

BACKGROUND BACKGROUND
Malignant swelling is a fatal complication that can occur abruptly in space-occupying cerebellar infarction. We aimed to establish markers that predict malignant swelling in cerebellar infarction.
METHODS METHODS
We retrospectively analysed data of stroke patients who were treated in our hospital between 2014 and 2020. Malignant swelling was defined as a mass effect in the posterior cranial fossa, accompanied by a decrease in consciousness due to compression of the brainstem and/or the development of obstructive hydrocephalus. Statistical analyses were performed on multiple variables to identify predictors of malignant swelling.
RESULTS RESULTS
Among 7284 stroke patients, we identified 487 patients with an infarct in the cerebellum. 93 patients were suitable for analysis having space-occupying cerebellar infarction. 33 of 93 (35.5%) patients developed malignant swelling.Multivariable analysis revealed infarct volume as the main predictor being independently associated with the development of malignant swelling with a cut-off infarct volume of 38 cm
CONCLUSIONS CONCLUSIONS
Infarct volume was the key significant predictor of malignant swelling in space-occupying cerebellar infarction. With many cases of malignant swelling occurring after more than 72 hours, we advocate prolonged neurological monitoring.

Identifiants

pubmed: 39209704
pii: svn-2024-003360
doi: 10.1136/svn-2024-003360
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© Author(s) (or their employer(s)) 2024. 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: None declared.

Auteurs

Enayatullah Baki (E)

Department of Neurology, Technical University of Munich, School of Medicine and Health, Klinikum rechts der Isar, Munich, Germany Enayatullah.Baki@mri.tum.de.

Lea Baumgart (L)

Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

Victoria Kehl (V)

Institute of AI and Informatics in Medicine, Technical University of Munich, School of Medicine and Health, Klinikum rechts der Isar, Munich, Germany.

Felix Hess (F)

Department of Neurology, Technical University of Munich, School of Medicine and Health, Klinikum rechts der Isar, Munich, Germany.

Andreas Wolfgang Wolff (AW)

Department of Neurology, Technical University of Munich, School of Medicine and Health, Klinikum rechts der Isar, Munich, Germany.

Arthur Wagner (A)

Department of Neurosurgery, Technical University of Munich, School of Medicine and Health, Klinikum rechts der Isar, Munich, Germany.

Moritz Roman Hernandez Petzsche (MR)

Department of Diagnostic and Interventional Neuroradiology, Technical University of Munich, School of Medicine and Health, Klinikum rechts der Isar, Munich, Germany.

Tobias Boeckh-Behrens (T)

Department of Diagnostic and Interventional Neuroradiology, Technical University of Munich, School of Medicine and Health, Klinikum rechts der Isar, Munich, Germany.

Bernhard Hemmer (B)

Department of Neurology, Technical University of Munich, School of Medicine and Health, Klinikum rechts der Isar, Munich, Germany.
Munich Cluster for Systems Neurology, (SyNergy), Munich, Germany.

Bernhard Meyer (B)

Department of Neurosurgery, Technical University of Munich, School of Medicine and Health, Klinikum rechts der Isar, Munich, Germany.

Jens Gempt (J)

Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

Silke Wunderlich (S)

Department of Neurology, Technical University of Munich, School of Medicine and Health, Klinikum rechts der Isar, Munich, Germany.

Classifications MeSH