Influence of Infarct Morphology and Patterns on Cognitive Outcomes After Endovascular Thrombectomy.

cognition ischemia ischemic stroke stroke white matter

Journal

Stroke
ISSN: 1524-4628
Titre abrégé: Stroke
Pays: United States
ID NLM: 0235266

Informations de publication

Date de publication:
21 Mar 2024
Historique:
medline: 21 3 2024
pubmed: 21 3 2024
entrez: 21 3 2024
Statut: aheadofprint

Résumé

To assess the association of qualitative and quantitative infarct characteristics and 3 cognitive outcome tests, namely the Montreal Cognitive Assessment (MOCA) for mild cognitive impairment, the Boston Naming Test for visual confrontation naming, and the Sunnybrook Neglect Assessment Procedure for neglect, in large vessel occlusion stroke. Secondary observational cohort study using data from the randomized-controlled ESCAPE-NA1 trial (Safety and Efficacy of Nerinetide in Subjects Undergoing Endovascular Thrombectomy for Stroke), in which patients with large vessel occlusion undergoing endovascular treatment were randomized to receive either intravenous Nerinetide or placebo. MOCA, Sunnybrook Neglect Assessment Procedure, and 15-item Boston Naming Test were obtained at 90 days. Total infarct volume, grey matter, and white matter infarct volumes were manually measured on 24-hour follow-up imaging. Infarcts were also visually classified as either involving the grey matter only or both the grey and white matter and scattered versus territorial. Associations of infarct variables and cognitive outcomes were analyzed using multivariable ordinal or binary logistic regression models. Of 1105 patients enrolled in ESCAPE-NA1, 1026 patients with visible infarcts on 24-hour follow-up imaging were included. MOCA and Sunnybrook Neglect Assessment Procedure were available for 706 (68.8%) patients and the 15-item Boston Naming Test was available for 682 (66.5%) patients. Total infarct volume was associated with worse MOCA scores (adjusted common odds ratio per 10 mL increase, 1.05 [95% CI, 1.04-1.06]). After adjusting for baseline variables and total infarct volume, mixed grey and white matter involvement (versus grey matter-only adjusted common odds ratio, 1.92 [95% CI, 1.37-2.69]), white matter infarct volume (adjusted common odds ratio per 10 mL increase 1.36 [95% CI, 1.18-1.58]) and territorial (versus scattered) infarct pattern (adjusted common odds ratio, 1.65 [95% CI, 1.15-2.38]) were associated with worse MOCA scores. Results for Sunnybrook Neglect Assessment Procedure and 15-item Boston Naming Test were similar, except for the territorial infarct pattern, which did not reach statistical significance in multivariable analysis. Besides total infarct volume, infarcts that involve the white matter and that show a territorial distribution were associated with worse cognitive outcomes, even after adjusting for total infarct volume.

Sections du résumé

BACKGROUND UNASSIGNED
To assess the association of qualitative and quantitative infarct characteristics and 3 cognitive outcome tests, namely the Montreal Cognitive Assessment (MOCA) for mild cognitive impairment, the Boston Naming Test for visual confrontation naming, and the Sunnybrook Neglect Assessment Procedure for neglect, in large vessel occlusion stroke.
METHODS UNASSIGNED
Secondary observational cohort study using data from the randomized-controlled ESCAPE-NA1 trial (Safety and Efficacy of Nerinetide in Subjects Undergoing Endovascular Thrombectomy for Stroke), in which patients with large vessel occlusion undergoing endovascular treatment were randomized to receive either intravenous Nerinetide or placebo. MOCA, Sunnybrook Neglect Assessment Procedure, and 15-item Boston Naming Test were obtained at 90 days. Total infarct volume, grey matter, and white matter infarct volumes were manually measured on 24-hour follow-up imaging. Infarcts were also visually classified as either involving the grey matter only or both the grey and white matter and scattered versus territorial. Associations of infarct variables and cognitive outcomes were analyzed using multivariable ordinal or binary logistic regression models.
RESULTS UNASSIGNED
Of 1105 patients enrolled in ESCAPE-NA1, 1026 patients with visible infarcts on 24-hour follow-up imaging were included. MOCA and Sunnybrook Neglect Assessment Procedure were available for 706 (68.8%) patients and the 15-item Boston Naming Test was available for 682 (66.5%) patients. Total infarct volume was associated with worse MOCA scores (adjusted common odds ratio per 10 mL increase, 1.05 [95% CI, 1.04-1.06]). After adjusting for baseline variables and total infarct volume, mixed grey and white matter involvement (versus grey matter-only adjusted common odds ratio, 1.92 [95% CI, 1.37-2.69]), white matter infarct volume (adjusted common odds ratio per 10 mL increase 1.36 [95% CI, 1.18-1.58]) and territorial (versus scattered) infarct pattern (adjusted common odds ratio, 1.65 [95% CI, 1.15-2.38]) were associated with worse MOCA scores. Results for Sunnybrook Neglect Assessment Procedure and 15-item Boston Naming Test were similar, except for the territorial infarct pattern, which did not reach statistical significance in multivariable analysis.
CONCLUSIONS UNASSIGNED
Besides total infarct volume, infarcts that involve the white matter and that show a territorial distribution were associated with worse cognitive outcomes, even after adjusting for total infarct volume.

Identifiants

pubmed: 38511330
doi: 10.1161/STROKEAHA.123.045825
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Johanna Maria Ospel (JM)

Department of Diagnostic Imaging, Foothills Medical Center, University of Calgary, AB, Canada. (J.M.O., M.J., M.D.H., M.G.).
Department of Neurosciences, Foothills Medical Center, University of Calgary, AB, Canada. (J.M.O., L.R., A.G., A.D., M.J., B.M., M.D.H., M.G.).

Leon Rinkel (L)

Department of Neurosciences, Foothills Medical Center, University of Calgary, AB, Canada. (J.M.O., L.R., A.G., A.D., M.J., B.M., M.D.H., M.G.).
Department of Neurology, Amsterdam University Medical Centers, Amsterdam, the Netherlands (L.R.).

Aravind Ganesh (A)

Department of Neurosciences, Foothills Medical Center, University of Calgary, AB, Canada. (J.M.O., L.R., A.G., A.D., M.J., B.M., M.D.H., M.G.).

Andrew Demchuk (A)

Department of Neurosciences, Foothills Medical Center, University of Calgary, AB, Canada. (J.M.O., L.R., A.G., A.D., M.J., B.M., M.D.H., M.G.).

Manish Joshi (M)

Department of Diagnostic Imaging, Foothills Medical Center, University of Calgary, AB, Canada. (J.M.O., M.J., M.D.H., M.G.).
Department of Neurosciences, Foothills Medical Center, University of Calgary, AB, Canada. (J.M.O., L.R., A.G., A.D., M.J., B.M., M.D.H., M.G.).

Alexandre Poppe (A)

Centre Hospitalier de l'Université de Montréal, QC, Canada (A.P.).

Ryan McTaggart (R)

Warren Alpert School of Medicine, Brown University, Providence, RI (R.M.T.).

Raul Nogueira (R)

Emory University School of Medicine, Grady Memorial Hospital, Atlanta, GA (R.N.).

Bijoy Menon (B)

Department of Neurosciences, Foothills Medical Center, University of Calgary, AB, Canada. (J.M.O., L.R., A.G., A.D., M.J., B.M., M.D.H., M.G.).

Michael Tymianski (M)

NoNO Inc, Toronto, Canada (M.T.).

Michael Douglas Hill (MD)

Department of Diagnostic Imaging, Foothills Medical Center, University of Calgary, AB, Canada. (J.M.O., M.J., M.D.H., M.G.).
Department of Neurosciences, Foothills Medical Center, University of Calgary, AB, Canada. (J.M.O., L.R., A.G., A.D., M.J., B.M., M.D.H., M.G.).

Mayank Goyal (M)

Department of Diagnostic Imaging, Foothills Medical Center, University of Calgary, AB, Canada. (J.M.O., M.J., M.D.H., M.G.).
Department of Neurosciences, Foothills Medical Center, University of Calgary, AB, Canada. (J.M.O., L.R., A.G., A.D., M.J., B.M., M.D.H., M.G.).

Classifications MeSH