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The Validity of Clinical Scoring in the Diagnosis of Stroke Subtype: Validation Study

BACKGROUND: The gold standard for distinguishing stroke subtype is non-contrast CT. However, it’s still prohibitively expensive and out of reach for the majority of recourse-constrained settings. Clinically, not all patients will have a definite diagnosis of hemorrhagic/ischemic stroke. To overcome...

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Autores principales: Mekonnen, Biruk Endalkachew, Kebede, Molla Asnake
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9588290/
https://www.ncbi.nlm.nih.gov/pubmed/36285188
http://dx.doi.org/10.2147/PROM.S374473
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author Mekonnen, Biruk Endalkachew
Kebede, Molla Asnake
author_facet Mekonnen, Biruk Endalkachew
Kebede, Molla Asnake
author_sort Mekonnen, Biruk Endalkachew
collection PubMed
description BACKGROUND: The gold standard for distinguishing stroke subtype is non-contrast CT. However, it’s still prohibitively expensive and out of reach for the majority of recourse-constrained settings. Clinically, not all patients will have a definite diagnosis of hemorrhagic/ischemic stroke. To overcome these challenges and improve clinical bedside diagnosis, clinical stroke scores for stroke subtypes have been developed and recommended to be used in the absence of appropriate imaging modality. METHODS: We conducted a prospective cross-sectional study among stroke patients to compare the accuracy of level of clinical stroke score methods in differentiating stroke type with CT. it was conducted on 140 people at MTU teaching hospital in Bench-Sheko Zone, South-west Ethiopia. Data were collected using check list. Analysis of the data was done using SPSS version 24. RESULTS: Our result revealed an incidence of hemorrhagic stroke were 50%, ischemic stroke were 48.6% by CT evaluation. Specificity, sensitivity, positive predictive value, negative predictive value and the overall accuracy of Siriraj stroke score for differentiation of hemorrhage from ischemic stroke were 68.6%, 83.9%, 74.6%, 79.5%, and 82% respectively, the Guys score were 89.7%, 47.8%, 73.3%, 74.5% and 74.5% respectively and while the Bensson score were 88.6%, 35.3%, 75%, 58.5%, and 62.3% respectively. CONCLUSION: We conclude that Siriraj stroke score showed good sensitivity and fair overall accuracy for hemorrhagic stroke even if it had poor specificity.
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spelling pubmed-95882902022-10-24 The Validity of Clinical Scoring in the Diagnosis of Stroke Subtype: Validation Study Mekonnen, Biruk Endalkachew Kebede, Molla Asnake Patient Relat Outcome Meas Original Research BACKGROUND: The gold standard for distinguishing stroke subtype is non-contrast CT. However, it’s still prohibitively expensive and out of reach for the majority of recourse-constrained settings. Clinically, not all patients will have a definite diagnosis of hemorrhagic/ischemic stroke. To overcome these challenges and improve clinical bedside diagnosis, clinical stroke scores for stroke subtypes have been developed and recommended to be used in the absence of appropriate imaging modality. METHODS: We conducted a prospective cross-sectional study among stroke patients to compare the accuracy of level of clinical stroke score methods in differentiating stroke type with CT. it was conducted on 140 people at MTU teaching hospital in Bench-Sheko Zone, South-west Ethiopia. Data were collected using check list. Analysis of the data was done using SPSS version 24. RESULTS: Our result revealed an incidence of hemorrhagic stroke were 50%, ischemic stroke were 48.6% by CT evaluation. Specificity, sensitivity, positive predictive value, negative predictive value and the overall accuracy of Siriraj stroke score for differentiation of hemorrhage from ischemic stroke were 68.6%, 83.9%, 74.6%, 79.5%, and 82% respectively, the Guys score were 89.7%, 47.8%, 73.3%, 74.5% and 74.5% respectively and while the Bensson score were 88.6%, 35.3%, 75%, 58.5%, and 62.3% respectively. CONCLUSION: We conclude that Siriraj stroke score showed good sensitivity and fair overall accuracy for hemorrhagic stroke even if it had poor specificity. Dove 2022-10-19 /pmc/articles/PMC9588290/ /pubmed/36285188 http://dx.doi.org/10.2147/PROM.S374473 Text en © 2022 Mekonnen and Kebede. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Mekonnen, Biruk Endalkachew
Kebede, Molla Asnake
The Validity of Clinical Scoring in the Diagnosis of Stroke Subtype: Validation Study
title The Validity of Clinical Scoring in the Diagnosis of Stroke Subtype: Validation Study
title_full The Validity of Clinical Scoring in the Diagnosis of Stroke Subtype: Validation Study
title_fullStr The Validity of Clinical Scoring in the Diagnosis of Stroke Subtype: Validation Study
title_full_unstemmed The Validity of Clinical Scoring in the Diagnosis of Stroke Subtype: Validation Study
title_short The Validity of Clinical Scoring in the Diagnosis of Stroke Subtype: Validation Study
title_sort validity of clinical scoring in the diagnosis of stroke subtype: validation study
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9588290/
https://www.ncbi.nlm.nih.gov/pubmed/36285188
http://dx.doi.org/10.2147/PROM.S374473
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