Outcomes of Endovascular Thrombectomy vs Medical Management Alone in Patients With Large Ischemic Cores: A Secondary Analysis of the Optimizing Patient's Selection for Endovascular Treatment in Acute Ischemic Stroke (SELECT) Study.


Journal

JAMA neurology
ISSN: 2168-6157
Titre abrégé: JAMA Neurol
Pays: United States
ID NLM: 101589536

Informations de publication

Date de publication:
01 Oct 2019
Historique:
pubmed: 30 7 2019
medline: 30 7 2019
entrez: 30 7 2019
Statut: ppublish

Résumé

The efficacy and safety of endovascular thrombectomy (EVT) in patients with large ischemic cores remains unknown, to our knowledge. To compare outcomes in patients with large ischemic cores treated with EVT and medical management vs medical management alone. This prespecified analysis of the Optimizing Patient's Selection for Endovascular Treatment in Acute Ischemic Stroke (SELECT) trial, a prospective cohort study of imaging selection that was conducted in 9 US comprehensive stroke centers, enrolled patients between January 2016 and February 2018, and followed them up for 90 days. Patients with moderate to severe stroke and anterior circulation large-vessel occlusion presenting up to 24 hours from the time they were last known to be well were eligible for the cohort. Of these, patients with large ischemic cores on computed tomography (CT) (Alberta Stroke Program Early CT Score <6) or CT perfusion scanning (a volume with a relative cerebral blood flow <30% of ≥50 cm3) were included in analyses. Endovascular thrombectomy with medical management (MM) or MM only. Functional outcomes at 90 days per modified Rankin scale; safety outcomes (mortality, symptomatic intracerebral hemorrhage, and neurological worsening). A total of 105 patients with large ischemic cores on either CT or CT perfusion images were included: 71 with Alberta Stroke Program Early CT Scores of 5 or less (EVT, 37; MM, 34), 74 with cores of 50 cm3 or greater on CT perfusion images (EVT, 39; MM, 35), and 40 who had large cores on both CT and CT perfusion images (EVT, 14; MM, 26). The median (interquartile range) age was 66 (60-75) years; 45 patients (43%) were female. Nineteen of 62 patients (31%) who were treated with EVT achieved functional independence (modified Rankin Scale scores, 0-2) vs 6 of 43 patients (14%) treated with MM only (odds ratio [OR], 3.27 [95% CI, 1.11-9.62]; P = .03). Also, EVT was associated with better functional outcomes (common OR, 2.12 [95% CI, 1.05-4.31]; P = .04), less infarct growth (44 vs 98 mL; P = .006), and smaller final infarct volume (97 vs 190 mL; P = .001) than MM. In the odds of functional independence, there was a 42% reduction per 10-cm3 increase in core volume (adjusted OR, 0.58 [95% CI, 0.39-0.87]; P = .007) and a 40% reduction per hour of treatment delay (adjusted OR, 0.60 [95% CI, 0.36-0.99]; P = .045). Of 10 patients who had EVT with core volumes greater than 100 cm3, none had a favorable outcome. Although the odds of good outcomes for patients with large cores who receive EVT markedly decline with increasing core size and time to treatment, these data suggest potential benefits. Randomized clinical trials are needed.

Identifiants

pubmed: 31355873
pii: 2738511
doi: 10.1001/jamaneurol.2019.2109
pmc: PMC6664381
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1147-1156

Subventions

Organisme : NCATS NIH HHS
ID : UL1 TR003167
Pays : United States

Auteurs

Amrou Sarraj (A)

Department of Neurology, University of Texas McGovern Medical School, Houston.

Ameer E Hassan (AE)

Department of Neurology, University of Texas Rio Grande Valley, Harlingen.
Department of Neurology, University of Texas Health Science Center, Neurology, San Antonio.
Department of Radiology, University of Texas Health Science Center, San Antonio.

Sean Savitz (S)

Department of Neurology, University of Texas McGovern Medical School, Houston.

Clark Sitton (C)

Department of Radiology, University of Texas McGovern Medical School, Houston.

James Grotta (J)

Department of Neurology, University of Texas McGovern Medical School, Houston.

Peng Chen (P)

Department of Neurosurgery, University of Texas McGovern Medical School, Houston.

Chunyan Cai (C)

Clinical and Translational Science, University of Texas McGovern Medical School, Houston.

Gary Cutter (G)

Department of Biostatistics, University of Alabama at Birmingham.

Bita Imam (B)

Department of Neurology, University of Texas McGovern Medical School, Houston.

Sujan Reddy (S)

Department of Neurology, University of Texas McGovern Medical School, Houston.

Kaushik Parsha (K)

Department of Neurology, University of Texas McGovern Medical School, Houston.

Deep Pujara (D)

Department of Neurology, University of Texas McGovern Medical School, Houston.

Roy Riascos (R)

Department of Radiology, University of Texas McGovern Medical School, Houston.

Nirav Vora (N)

Department of Neurology, OhioHealth-Riverside Methodist Hospital, Columbus.

Michael Abraham (M)

Department of Neurology, University of Kansas Medical Center, Kansas City.

Haris Kamal (H)

Department of Neurology, University of Texas McGovern Medical School, Houston.

Diogo C Haussen (DC)

Department of Neurology, Emory University, Atlanta, Georgia.

Andrew D Barreto (AD)

Department of Neurology, University of Texas McGovern Medical School, Houston.

Maarten Lansberg (M)

Department of Neurology, Stanford University, Stanford, California.

Rishi Gupta (R)

Department of Neurology, Wellstar Health System, Atlanta, Georgia.

Gregory W Albers (GW)

Department of Neurology, Stanford University, Stanford, California.

Classifications MeSH