Pre-treatment lesional volume in older stroke patients treated with endovascular treatment.


Journal

International journal of stroke : official journal of the International Stroke Society
ISSN: 1747-4949
Titre abrégé: Int J Stroke
Pays: United States
ID NLM: 101274068

Informations de publication

Date de publication:
12 2022
Historique:
pubmed: 1 3 2022
medline: 23 11 2022
entrez: 28 2 2022
Statut: ppublish

Résumé

Recent studies in the general stroke population treated with endovascular treatment (EVT) reported that higher pre-treatment lesional volumes were independently associated with poor neurological outcome and functional dependence after stroke. However, it has been not evaluated in older patients. We test the association between the pre-treatment lesional volume on diffusion-weighted magnetic resonance imaging and relevant outcome measures in older adults with stroke treated with EVT. We included consecutive older adults with stroke (⩾80 years old) treated with EVT in two academic comprehensive stroke centers. The association between pre-treatment lesional volume and relevant outcome measures (poor outcome (modified Rankin scale 4-6), 3-month mortality and symptomatic intracerebral hemorrhage (sICH)) was evaluated using univariate and multivariable models. Five hundred seventy-nine patients were included (mean age: 85.6 ± 4.1, median lesional volume was 10 ml; interquartile range: 3-30 ml). Pre-treatment lesional volume was associated with poor functional outcome (adjusted odds ratio (aOR): 1.87, 95% confidence interval (CI): 1.60-2.20, for +1 logarithmic increase of lesional volume), 3-month mortality (aOR: 1.50, CI: 1.28-1.76), and sICH (aOR: 1.67, CI: 1.27-2.20). A threshold lesional volume >35 ml predicted 90% of patients with poor functional outcome and a cut-off >51 ml predicted 90% of patients dead at 3 months. Pre-treatment lesional volume might contribute, in association with other relevant clinical features, to the selection of older stroke patients who will benefit from EVT.

Sections du résumé

BACKGROUND
Recent studies in the general stroke population treated with endovascular treatment (EVT) reported that higher pre-treatment lesional volumes were independently associated with poor neurological outcome and functional dependence after stroke. However, it has been not evaluated in older patients.
AIM
We test the association between the pre-treatment lesional volume on diffusion-weighted magnetic resonance imaging and relevant outcome measures in older adults with stroke treated with EVT.
METHODS
We included consecutive older adults with stroke (⩾80 years old) treated with EVT in two academic comprehensive stroke centers. The association between pre-treatment lesional volume and relevant outcome measures (poor outcome (modified Rankin scale 4-6), 3-month mortality and symptomatic intracerebral hemorrhage (sICH)) was evaluated using univariate and multivariable models.
RESULTS
Five hundred seventy-nine patients were included (mean age: 85.6 ± 4.1, median lesional volume was 10 ml; interquartile range: 3-30 ml). Pre-treatment lesional volume was associated with poor functional outcome (adjusted odds ratio (aOR): 1.87, 95% confidence interval (CI): 1.60-2.20, for +1 logarithmic increase of lesional volume), 3-month mortality (aOR: 1.50, CI: 1.28-1.76), and sICH (aOR: 1.67, CI: 1.27-2.20). A threshold lesional volume >35 ml predicted 90% of patients with poor functional outcome and a cut-off >51 ml predicted 90% of patients dead at 3 months.
CONCLUSIONS
Pre-treatment lesional volume might contribute, in association with other relevant clinical features, to the selection of older stroke patients who will benefit from EVT.

Identifiants

pubmed: 35225745
doi: 10.1177/17474930211068657
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1085-1092

Auteurs

Gauthier Duloquin (G)

EA7460, Pathophysiology and Epidemiology of Cerebro-Cardiovascular diseases (PEC2), University Hospital of Dijon, University of Burgundy, Dijon, France.

Marc Ferrigno (M)

University of Lille, Inserm, CHU Lille, U1172-Lille Neuroscience & Cognition (LilNCog), Lille, France.

Wagih Ben Hassen (WB)

Department of Neuroradiology, Paris University, Inserm U1266, GHU Paris, Saint-Anne Hospital, Paris, France.

Maéva Kyheng (M)

Département de Biostatistiques, CHU Lille, Lille, France.
University of Lille, CHU Lille, ULR 2694-METRICS: évaluation des technologies de santé et des pratiques médicales, Lille, France.

Nicolas Bricout (N)

Interventional Neuroradiology, CHU Lille, Lille, France.

Grégoire Boulouis (G)

Department of Neuroradiology, Paris University, Inserm U1266, GHU Paris, Saint-Anne Hospital, Paris, France.

Pierre Seners (P)

Université de Paris, Inserm U1266, GHU Paris Psychiatrie et Neurosciences (Department of Neurology), FHU NeuroVasc, Paris, France.

Julien Labreuche (J)

Département de Biostatistiques, CHU Lille, Lille, France.

Guillaume Turc (G)

Université de Paris, Inserm U1266, GHU Paris Psychiatrie et Neurosciences (Department of Neurology), FHU NeuroVasc, Paris, France.

Olivier Naggara (O)

Department of Neuroradiology, Paris University, Inserm U1266, GHU Paris, Saint-Anne Hospital, Paris, France.

Charlotte Cordonnier (C)

University of Lille, Inserm, CHU Lille, U1172-Lille Neuroscience & Cognition (LilNCog), Lille, France.

Hilde Henon (H)

University of Lille, Inserm, CHU Lille, U1172-Lille Neuroscience & Cognition (LilNCog), Lille, France.

Marco Pasi (M)

University of Lille, Inserm, CHU Lille, U1172-Lille Neuroscience & Cognition (LilNCog), Lille, France.

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