Excellent Recanalization and Small Core Volumes Are Associated With Favorable AM-PAC Score in Patients With Acute Ischemic Stroke Secondary to Large Vessel Occlusion.

AMPAC Acute ischemic stroke CT Rehabilitation perfusion imaging

Journal

Archives of rehabilitation research and clinical translation
ISSN: 2590-1095
Titre abrégé: Arch Rehabil Res Clin Transl
Pays: United States
ID NLM: 101763542

Informations de publication

Date de publication:
Dec 2023
Historique:
medline: 2 1 2024
pubmed: 2 1 2024
entrez: 1 1 2024
Statut: epublish

Résumé

To assess pretreatment and interventional parameters as predictors of favorable Activity Measure for Post-Acute Care (AM-PAC) scores for optimal discharge planning. In this prospectively collected, retrospectively reviewed multicenter study from 9/1/2017 to 9/22/2022, patients were dichotomized into favorable and unfavorable AM-PAC. Multivariate logistic regression and receiver operator characteristics analyses were performed for the identified significant variables. A Hospitalized care. In total, 229 patients (mean ±SD 70.65 ±15.2 [55.9% women]) met our inclusion criteria. Inclusion criteria were (a) computed tomography (CT) angiography confirmed LVO from 9/1/2017 to 9/22/2022; (b) diagnostic CT perfusion; and (c) available AM-PAC scores. None. Favorable AM-PAC, defined as a daily activity score ≥19 and basic mobility score of ≥17. Patients with favorable AM-PAC were younger (61.3 vs 70.7, Excellent recanalization, smaller core volumes, younger age, and lower stroke severity independently predict favorable outcomes as measured by AM-PAC.

Identifiants

pubmed: 38163017
doi: 10.1016/j.arrct.2023.100306
pii: S2590-1095(23)00068-X
pmc: PMC10757189
doi:

Types de publication

Journal Article

Langues

eng

Pagination

100306

Informations de copyright

Crown Copyright © 2023 Published by Elsevier Inc. on behalf of American Congress of Rehabilitation Medicine.

Auteurs

Vivek Yedavalli (V)

Department of Radiology and Radiological Sciences, Johns Hopkins School of Medicine, Baltimore, MD.

Manisha Koneru (M)

Cooper Medical School of Rowan University, Camden, NJ.

Meisam Hoseinyazdi (M)

Department of Radiology and Radiological Sciences, Johns Hopkins School of Medicine, Baltimore, MD.

Karen Copeland (K)

Boulder Statistics, Boulder, CO.

Risheng Xu (R)

Department of Neurosurgery, Johns Hopkins School of Medicine, Baltimore, MD.

Licia Luna (L)

Department of Radiology and Radiological Sciences, Johns Hopkins School of Medicine, Baltimore, MD.

Justin Caplan (J)

Department of Neurosurgery, Johns Hopkins School of Medicine, Baltimore, MD.

Adam Dmytriw (A)

Department of Neuroradiology, Massachusetts General Hospital & Harvard Medical School, Cambridge, MA.

Adrien Guenego (A)

Department of Radiology, Université Libre De Bruxelles Hospital Erasme, Brussels, BE.

Jeremy Heit (J)

Department of Radiology, Stanford University School of Medicine, Palo Alto, CA.

Gregory Albers (G)

Department of Neurology, Stanford University School of Medicine, Baltimore, MD.

Max Wintermark (M)

Department of Radiology, University of Texas MD Anderson Center, Houston, TX.

Fernando Gonzalez (F)

Department of Neurosurgery, Johns Hopkins School of Medicine, Baltimore, MD.

Victor Urrutia (V)

Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD.

Judy Huang (J)

Department of Neurosurgery, Johns Hopkins School of Medicine, Baltimore, MD.

Richard Leigh (R)

Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD.

Elisabeth Marsh (E)

Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD.

Rafael Llinas (R)

Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD.

Marlis Gonzalez Hernandez (MG)

Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD.

Argye Hillis (A)

Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD.

Classifications MeSH