Relative Cerebral Blood Flow as an Indirect Imaging Surrogate in Patients With Anterior Circulation Large Vessel Occlusion and Association of Baseline Characteristics With Poor Collateral Status.

acute ischemic stroke anterior circulation collateral status large vessel occlusion relative cerebral blood flow

Journal

Journal of the American Heart Association
ISSN: 2047-9980
Titre abrégé: J Am Heart Assoc
Pays: England
ID NLM: 101580524

Informations de publication

Date de publication:
19 Aug 2024
Historique:
medline: 19 8 2024
pubmed: 19 8 2024
entrez: 19 8 2024
Statut: aheadofprint

Résumé

In acute ischemic stroke (AIS), collateral status (CS) is an important predictor of favorable outcomes in patients with AIS. Among quantitative cerebral perfusion parameters, relative cerebral blood flow (rCBF) is considered an accurate perfusion-based indicator of CS. This study investigated the relationship between admission laboratory values, baseline characteristics, and CS as assessed by rCBF in patients with AIS-large vessel occlusion. In this retrospective multicenter study, consecutive patients presenting with AIS secondary to anterior circulation large vessel occlusion who underwent pretreatment computed tomography perfusion were included. The computed tomography perfusion data processed by RAPID (IschemaView, Menlo Park, CA) generated the rCBF. Binary logistic regression models assessed the relationship between patients' baseline characteristics, admission laboratory values, and poor CS. The primary outcome measure was the presence of poor CS, which was defined as rCBF <38% at a lesion size ≥27 mL. Between January 2017 and September 2022, there were 221 consecutive patients with AIS-large vessel occlusion included in our study (mean age 67.0±15.8 years, 119 men [53.8%]). Logistic regression showed that male sex (odds ratio [OR], 2.98 [1.59-5.59]; Higher stroke severity on admission with National Institutes of Health Stroke Scale score ≥12, systolic blood pressure <140, chronic kidney disease, and male sex are statistically significantly associated with poor CS in patients with AIS due to anterior circulation large vessel occlusion as defined by rCBF <38%.

Sections du résumé

BACKGROUND BACKGROUND
In acute ischemic stroke (AIS), collateral status (CS) is an important predictor of favorable outcomes in patients with AIS. Among quantitative cerebral perfusion parameters, relative cerebral blood flow (rCBF) is considered an accurate perfusion-based indicator of CS. This study investigated the relationship between admission laboratory values, baseline characteristics, and CS as assessed by rCBF in patients with AIS-large vessel occlusion.
METHODS AND RESULTS RESULTS
In this retrospective multicenter study, consecutive patients presenting with AIS secondary to anterior circulation large vessel occlusion who underwent pretreatment computed tomography perfusion were included. The computed tomography perfusion data processed by RAPID (IschemaView, Menlo Park, CA) generated the rCBF. Binary logistic regression models assessed the relationship between patients' baseline characteristics, admission laboratory values, and poor CS. The primary outcome measure was the presence of poor CS, which was defined as rCBF <38% at a lesion size ≥27 mL. Between January 2017 and September 2022, there were 221 consecutive patients with AIS-large vessel occlusion included in our study (mean age 67.0±15.8 years, 119 men [53.8%]). Logistic regression showed that male sex (odds ratio [OR], 2.98 [1.59-5.59];
CONCLUSIONS CONCLUSIONS
Higher stroke severity on admission with National Institutes of Health Stroke Scale score ≥12, systolic blood pressure <140, chronic kidney disease, and male sex are statistically significantly associated with poor CS in patients with AIS due to anterior circulation large vessel occlusion as defined by rCBF <38%.

Identifiants

pubmed: 39158542
doi: 10.1161/JAHA.124.034581
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e034581

Auteurs

Hamza Adel Salim (HA)

Johns Hopkins University Baltimore MD USA.

Omar Hamam (O)

Harvard Medical School Boston MA USA.

Goksu Parilday (G)

Ankara University Faculty of Medicine Ankara Turkey.

Rawan A Moustafa (RA)

Rutgers University School Sciences New Brunswick NJ USA.

Samir Ghandour (S)

Harvard Medical School Boston MA USA.

Moustafa Rutgers (M)

Rutgers University School of Arts and Sciences New Brunswick NJ USA.

Muhanned Sharara (M)

Medical Collage of Georgia at Augusta University Augusta GA USA.

Andrew Cho (A)

Johns Hopkins University School of Medicine Baltimore MD USA.

Ishan Mazumdar (I)

Johns Hopkins University School of Medicine Baltimore MD USA.

Mahla Radmard (M)

Tehran University of Medical Sciences Tehran Iran.

Christopher Shin (C)

Lahey Hospital and Medical Center Burlington MA USA.

Daniel Montes (D)

University of Colorado Anschutz Medical Campus Aurora CA USA.

Ajay Malhotra (A)

Yale School of Medicine New Haven CT USA.

Javier M Romero (JM)

Massachusetts General Hospital Boston MA USA.

Vivek Yedavalli (V)

Johns Hopkins University Baltimore MD USA.

Classifications MeSH