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Predictors of poor outcome in embolic stroke of undetermined source

OBJECTIVES: To identify the clinical predictors of death or disability at discharge. METHODS: We retrospectively reviewed all ischemic stroke patients admitted to the stroke unit of King Abdulaziz Medical City, Riyadh, Saudi Arabia, from February 2016 - July 2018. We applied the Cryptogenic Stroke/E...

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Autores principales: Al Khathaami, Ali M., Al Bdah, Bayan, Alnosair, Abdulmjeed, Alturki, Abdulkarim, Alrebdi, Rayan, Alwayili, Shorug, Alhamzah, Sulaiman, Alotaibi, Nasser D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Riyadh : Armed Forces Hospital 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8015519/
https://www.ncbi.nlm.nih.gov/pubmed/31380814
http://dx.doi.org/10.17712/nsj.2019.3.20190005
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author Al Khathaami, Ali M.
Al Bdah, Bayan
Alnosair, Abdulmjeed
Alturki, Abdulkarim
Alrebdi, Rayan
Alwayili, Shorug
Alhamzah, Sulaiman
Alotaibi, Nasser D.
author_facet Al Khathaami, Ali M.
Al Bdah, Bayan
Alnosair, Abdulmjeed
Alturki, Abdulkarim
Alrebdi, Rayan
Alwayili, Shorug
Alhamzah, Sulaiman
Alotaibi, Nasser D.
author_sort Al Khathaami, Ali M.
collection PubMed
description OBJECTIVES: To identify the clinical predictors of death or disability at discharge. METHODS: We retrospectively reviewed all ischemic stroke patients admitted to the stroke unit of King Abdulaziz Medical City, Riyadh, Saudi Arabia, from February 2016 - July 2018. We applied the Cryptogenic Stroke/ESUS International Working Group Embolic stroke of undetermined source (ESUS) criteria. We compared patients with poor outcomes (death or modified Rankin Scale [mRS] score >2) to those with favorable outcomes. Multivariate logistic regression was used to identify predictors of poor outcome. The regression model included age >60 years, gender, body mass index >25 kg/m(2), smoking history, comorbidities, previous ischemic/transient ischemic attack, pre-stroke mRS score >1, National Institutes of Health Stroke Scale (NIHSS) score at admission >5, pre-stroke antiplatelet use, and thrombolysis treatment. RESULTS: Out of 147 patients who met the ESUS criteria, 28.8% had poor outcomes. Predictors of poor outcome were NIHSS score >5 (odds ratio [OR] 11.1, 95% confidence interval [CI] 4.4–28.2), pre-stroke mRS score >1 (OR 3.7, 95% CI 1.14–11.59), and age >60 years (OR 2.4, 95% CI 1.14–5.22). CONCLUSION: A significant proportion of ESUS patients were dead or disabled at discharge. Poor outcome was more in older patients with pre-stroke functional disability and moderate to severe stroke.
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spelling pubmed-80155192021-08-13 Predictors of poor outcome in embolic stroke of undetermined source Al Khathaami, Ali M. Al Bdah, Bayan Alnosair, Abdulmjeed Alturki, Abdulkarim Alrebdi, Rayan Alwayili, Shorug Alhamzah, Sulaiman Alotaibi, Nasser D. Neurosciences (Riyadh) Original Article OBJECTIVES: To identify the clinical predictors of death or disability at discharge. METHODS: We retrospectively reviewed all ischemic stroke patients admitted to the stroke unit of King Abdulaziz Medical City, Riyadh, Saudi Arabia, from February 2016 - July 2018. We applied the Cryptogenic Stroke/ESUS International Working Group Embolic stroke of undetermined source (ESUS) criteria. We compared patients with poor outcomes (death or modified Rankin Scale [mRS] score >2) to those with favorable outcomes. Multivariate logistic regression was used to identify predictors of poor outcome. The regression model included age >60 years, gender, body mass index >25 kg/m(2), smoking history, comorbidities, previous ischemic/transient ischemic attack, pre-stroke mRS score >1, National Institutes of Health Stroke Scale (NIHSS) score at admission >5, pre-stroke antiplatelet use, and thrombolysis treatment. RESULTS: Out of 147 patients who met the ESUS criteria, 28.8% had poor outcomes. Predictors of poor outcome were NIHSS score >5 (odds ratio [OR] 11.1, 95% confidence interval [CI] 4.4–28.2), pre-stroke mRS score >1 (OR 3.7, 95% CI 1.14–11.59), and age >60 years (OR 2.4, 95% CI 1.14–5.22). CONCLUSION: A significant proportion of ESUS patients were dead or disabled at discharge. Poor outcome was more in older patients with pre-stroke functional disability and moderate to severe stroke. Riyadh : Armed Forces Hospital 2019-07 /pmc/articles/PMC8015519/ /pubmed/31380814 http://dx.doi.org/10.17712/nsj.2019.3.20190005 Text en Copyright: © Neurosciences https://creativecommons.org/licenses/by-nc-sa/3.0/Neurosciences is an Open Access journal and articles published are distributed under the terms of the Creative Commons Attribution-NonCommercial License (CC BY-NC). Readers may copy, distribute, and display the work for non-commercial purposes with the proper citation of the original work.
spellingShingle Original Article
Al Khathaami, Ali M.
Al Bdah, Bayan
Alnosair, Abdulmjeed
Alturki, Abdulkarim
Alrebdi, Rayan
Alwayili, Shorug
Alhamzah, Sulaiman
Alotaibi, Nasser D.
Predictors of poor outcome in embolic stroke of undetermined source
title Predictors of poor outcome in embolic stroke of undetermined source
title_full Predictors of poor outcome in embolic stroke of undetermined source
title_fullStr Predictors of poor outcome in embolic stroke of undetermined source
title_full_unstemmed Predictors of poor outcome in embolic stroke of undetermined source
title_short Predictors of poor outcome in embolic stroke of undetermined source
title_sort predictors of poor outcome in embolic stroke of undetermined source
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8015519/
https://www.ncbi.nlm.nih.gov/pubmed/31380814
http://dx.doi.org/10.17712/nsj.2019.3.20190005
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