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  5. A Risk Score Including Carotid Plaque Inflammation and Stenosis Severity Improves Identification of Recurrent Stroke
 
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A Risk Score Including Carotid Plaque Inflammation and Stenosis Severity Improves Identification of Recurrent Stroke

Author(s)
Kelly, Peter  
Camps-Renom, Pol  
Giannotti, Nicola  
McNulty, Jonathan P.  
Barry, Mary  
Foley, Shane J.  
Horgan, Gillian  
Kavanagh, Eoin  
Marnane, Michael  
McCabe, John  
McDonnell, Ciaran  
O'Connell, Martin  
Murphy, S. (Sean)  
et al.  
Uri
http://hdl.handle.net/10197/11564
Date Issued
2020-01-17
Date Available
2020-09-15T11:30:03Z
Abstract
Background and Purpose— In randomized trials of symptomatic carotid endarterectomy, only modest benefit occurred in patients with moderate stenosis and important subgroups experienced no benefit. Carotid plaque 18F-fluorodeoxyglucose uptake on positron emission tomography, reflecting inflammation, independently predicts recurrent stroke. We investigated if a risk score combining stenosis and plaque 18F-fluorodeoxyglucose would improve the identification of early recurrent stroke. Methods— We derived the score in a prospective cohort study of recent (<30 days) non-severe (modified Rankin Scale score ≤3) stroke/transient ischemic attack. We derived the SCAIL (symptomatic carotid atheroma inflammation lumen-stenosis) score (range, 0–5) including 18F-fluorodeoxyglucose standardized uptake values (SUVmax <2 g/mL, 0 points; SUVmax 2–2.99 g/mL, 1 point; SUVmax 3–3.99 g/mL, 2 points; SUVmax ≥4 g/mL, 3 points) and stenosis (<50%, 0 points; 50%–69%, 1 point; ≥70%, 2 points). We validated the score in an independent pooled cohort of 2 studies. In the pooled cohorts, we investigated the SCAIL score to discriminate recurrent stroke after the index stroke/transient ischemic attack, after positron emission tomography-imaging, and in mild or moderate stenosis. Results— In the derivation cohort (109 patients), recurrent stroke risk increased with increasing SCAIL score (P=0.002, C statistic 0.71 [95% CI, 0.56–0.86]). The adjusted (age, sex, smoking, hypertension, diabetes mellitus, antiplatelets, and statins) hazard ratio per 1-point SCAIL increase was 2.4 (95% CI, 1.2–4.5, P=0.01). Findings were confirmed in the validation cohort (87 patients, adjusted hazard ratio, 2.9 [95% CI, 1.9–5], P<0.001; C statistic 0.77 [95% CI, 0.67–0.87]). The SCAIL score independently predicted recurrent stroke after positron emission tomography-imaging (adjusted hazard ratio, 4.52 [95% CI, 1.58–12.93], P=0.005). Compared with stenosis severity (C statistic, 0.63 [95% CI, 0.46–0.80]), prediction of post-positron emission tomography stroke recurrence was improved with the SCAIL score (C statistic, 0.82 [95% CI, 0.66–0.97], P=0.04). Findings were confirmed in mild or moderate stenosis (adjusted hazard ratio, 2.74 [95% CI, 1.39–5.39], P=0.004). Conclusions— The SCAIL score improved the identification of early recurrent stroke. Randomized trials are needed to test if a combined stenosis-inflammation strategy improves selection for carotid revascularization where benefit is currently uncertain.
Sponsorship
Health Research Board
Other Sponsorship
Clinical Trials Networks Awards
Irish Heart Foundation
Fondo de Investigaciones Sanitarias Instituto de Salud Carlos III
Clinical Scientist Award
National Medical Research Council, Signapore
Irish Institute of Radiography and Radiation Therapy
Type of Material
Journal Article
Publisher
Wolters Kluwer
Journal
Stroke
Volume
51
Issue
3
Start Page
838
End Page
845
Copyright (Published Version)
2020 American Heart Association
Subjects

Diabetes mellitus

Endarterectomy

Hypertension

Inflammation

Positron emission tom...

DOI
10.1161/strokeaha.119.027268
Language
English
Status of Item
Peer reviewed
ISSN
0039-2499
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
No Thumbnail Available
Name

SCAIL score proof.pdf

Size

6.59 MB

Format

Adobe PDF

Checksum (MD5)

b0aee66c52b9af398d0a627c45554e2f

Owning collection
Medicine Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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