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Symptomatic Carotid Atheroma Inflammation Lumen-stenosis score compared with Oxford and Essen risk scores to predict recurrent stroke in symptomatic carotid stenosis

BACKGROUND: The Oxford Carotid Stenosis tool (OCST) and Essen Stroke Risk Score (ESRS) are validated to predict recurrent stroke in patients with and without carotid stenosis. The Symptomatic Carotid Atheroma Inflammation Lumen stenosis (SCAIL) score combines stenosis and plaque inflammation on fluo...

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Autores principales: Gorey, Sarah, McCabe, John J, Camps-Renom, Pol, Giannotti, Nicola, McNulty, Jonathan P, Barry, Mary, Cassidy, Tim, Cronin, Simon, Dolan, Eamon, Fernández-León, Alejandro, Foley, Shane, Harbison, Joseph, O’Connell, Martin, Williams, David J, Marnane, Michael, Martí-Fabregas, Joan, Kelly, Peter J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10683720/
https://www.ncbi.nlm.nih.gov/pubmed/37480278
http://dx.doi.org/10.1177/23969873231186911
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author Gorey, Sarah
McCabe, John J
Camps-Renom, Pol
Giannotti, Nicola
McNulty, Jonathan P
Barry, Mary
Cassidy, Tim
Cronin, Simon
Dolan, Eamon
Fernández-León, Alejandro
Foley, Shane
Harbison, Joseph
O’Connell, Martin
Williams, David J
Marnane, Michael
Martí-Fabregas, Joan
Kelly, Peter J
author_facet Gorey, Sarah
McCabe, John J
Camps-Renom, Pol
Giannotti, Nicola
McNulty, Jonathan P
Barry, Mary
Cassidy, Tim
Cronin, Simon
Dolan, Eamon
Fernández-León, Alejandro
Foley, Shane
Harbison, Joseph
O’Connell, Martin
Williams, David J
Marnane, Michael
Martí-Fabregas, Joan
Kelly, Peter J
author_sort Gorey, Sarah
collection PubMed
description BACKGROUND: The Oxford Carotid Stenosis tool (OCST) and Essen Stroke Risk Score (ESRS) are validated to predict recurrent stroke in patients with and without carotid stenosis. The Symptomatic Carotid Atheroma Inflammation Lumen stenosis (SCAIL) score combines stenosis and plaque inflammation on fluorodeoxyglucose positron-emission tomography ((18)FDG-PET). We compared SCAIL with OCST and ESRS to predict ipsilateral stroke recurrence in symptomatic carotid stenosis. PATIENTS AND METHODS: We pooled three prospective cohort studies of patients with recent (<30 days) non-severe ischaemic stroke/TIA and internal carotid artery stenosis (>50%). All patients had carotid (18)FDG-PET/CT angiography and late follow-up, with censoring at carotid revascularisation. RESULTS: Of 212 included patients, 16 post-PET ipsilateral recurrent strokes occurred in 343 patient-years follow-up (median 42 days (IQR 13–815)). Baseline SCAIL predicted recurrent stroke (unadjusted hazard ratio [HR] 1.96, CI 1.20–3.22, p = 0.007, adjusted HR 2.37, CI 1.31–4.29, p = 0.004). The HR for OCST was 0.996 (CI 0.987–1.006, p = 0.49) and for ESRS was 1.26 (CI 0.87–1.82, p = 0.23) (all per 1-point score increase). C-statistics were: SCAIL 0.66 (CI 0.51–0.80), OCST 0.52 (CI 0.40–0.64), ESRS 0.61 (CI 0.48–0.74). Compared with ESRS, addition of plaque inflammation (SUV(max)) to ESRS improved risk prediction when analysed continuously (HR 1.51, CI 1.05–2.16, p = 0.03) and categorically (p(trend) = 0.005 for risk increase across groups; HR 3.31, CI 1.42–7.72, p = 0.006; net reclassification improvement 10%). Findings were unchanged by further addition of carotid stenosis. CONCLUSIONS: SCAIL predicted recurrent stroke, had discrimination better than chance, and improved the prognostic utility of ESRS, suggesting that measuring plaque inflammation may improve risk stratification in carotid stenosis.
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spelling pubmed-106837202023-11-30 Symptomatic Carotid Atheroma Inflammation Lumen-stenosis score compared with Oxford and Essen risk scores to predict recurrent stroke in symptomatic carotid stenosis Gorey, Sarah McCabe, John J Camps-Renom, Pol Giannotti, Nicola McNulty, Jonathan P Barry, Mary Cassidy, Tim Cronin, Simon Dolan, Eamon Fernández-León, Alejandro Foley, Shane Harbison, Joseph O’Connell, Martin Williams, David J Marnane, Michael Martí-Fabregas, Joan Kelly, Peter J Eur Stroke J Original Research Articles BACKGROUND: The Oxford Carotid Stenosis tool (OCST) and Essen Stroke Risk Score (ESRS) are validated to predict recurrent stroke in patients with and without carotid stenosis. The Symptomatic Carotid Atheroma Inflammation Lumen stenosis (SCAIL) score combines stenosis and plaque inflammation on fluorodeoxyglucose positron-emission tomography ((18)FDG-PET). We compared SCAIL with OCST and ESRS to predict ipsilateral stroke recurrence in symptomatic carotid stenosis. PATIENTS AND METHODS: We pooled three prospective cohort studies of patients with recent (<30 days) non-severe ischaemic stroke/TIA and internal carotid artery stenosis (>50%). All patients had carotid (18)FDG-PET/CT angiography and late follow-up, with censoring at carotid revascularisation. RESULTS: Of 212 included patients, 16 post-PET ipsilateral recurrent strokes occurred in 343 patient-years follow-up (median 42 days (IQR 13–815)). Baseline SCAIL predicted recurrent stroke (unadjusted hazard ratio [HR] 1.96, CI 1.20–3.22, p = 0.007, adjusted HR 2.37, CI 1.31–4.29, p = 0.004). The HR for OCST was 0.996 (CI 0.987–1.006, p = 0.49) and for ESRS was 1.26 (CI 0.87–1.82, p = 0.23) (all per 1-point score increase). C-statistics were: SCAIL 0.66 (CI 0.51–0.80), OCST 0.52 (CI 0.40–0.64), ESRS 0.61 (CI 0.48–0.74). Compared with ESRS, addition of plaque inflammation (SUV(max)) to ESRS improved risk prediction when analysed continuously (HR 1.51, CI 1.05–2.16, p = 0.03) and categorically (p(trend) = 0.005 for risk increase across groups; HR 3.31, CI 1.42–7.72, p = 0.006; net reclassification improvement 10%). Findings were unchanged by further addition of carotid stenosis. CONCLUSIONS: SCAIL predicted recurrent stroke, had discrimination better than chance, and improved the prognostic utility of ESRS, suggesting that measuring plaque inflammation may improve risk stratification in carotid stenosis. SAGE Publications 2023-07-22 2023-12 /pmc/articles/PMC10683720/ /pubmed/37480278 http://dx.doi.org/10.1177/23969873231186911 Text en © European Stroke Organisation 2023 https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research Articles
Gorey, Sarah
McCabe, John J
Camps-Renom, Pol
Giannotti, Nicola
McNulty, Jonathan P
Barry, Mary
Cassidy, Tim
Cronin, Simon
Dolan, Eamon
Fernández-León, Alejandro
Foley, Shane
Harbison, Joseph
O’Connell, Martin
Williams, David J
Marnane, Michael
Martí-Fabregas, Joan
Kelly, Peter J
Symptomatic Carotid Atheroma Inflammation Lumen-stenosis score compared with Oxford and Essen risk scores to predict recurrent stroke in symptomatic carotid stenosis
title Symptomatic Carotid Atheroma Inflammation Lumen-stenosis score compared with Oxford and Essen risk scores to predict recurrent stroke in symptomatic carotid stenosis
title_full Symptomatic Carotid Atheroma Inflammation Lumen-stenosis score compared with Oxford and Essen risk scores to predict recurrent stroke in symptomatic carotid stenosis
title_fullStr Symptomatic Carotid Atheroma Inflammation Lumen-stenosis score compared with Oxford and Essen risk scores to predict recurrent stroke in symptomatic carotid stenosis
title_full_unstemmed Symptomatic Carotid Atheroma Inflammation Lumen-stenosis score compared with Oxford and Essen risk scores to predict recurrent stroke in symptomatic carotid stenosis
title_short Symptomatic Carotid Atheroma Inflammation Lumen-stenosis score compared with Oxford and Essen risk scores to predict recurrent stroke in symptomatic carotid stenosis
title_sort symptomatic carotid atheroma inflammation lumen-stenosis score compared with oxford and essen risk scores to predict recurrent stroke in symptomatic carotid stenosis
topic Original Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10683720/
https://www.ncbi.nlm.nih.gov/pubmed/37480278
http://dx.doi.org/10.1177/23969873231186911
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