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Performance of serial CT ASPECTS for predicting stroke outcomes in patients with thrombolyzed acute ischemic stroke
OBJECTIVES: The objective of this study was to compare the sensitivity and specificity of serial ASPECTS for predicting IHM and unfavorable outcome defined by a modified Rankin Scale score ≥3 at the time of discharge from the hospital in thrombolyzed AACIS patients. MATERIALS AND METHODS: This retro...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Scientific Scholar
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10696360/ http://dx.doi.org/10.25259/JNRP_57_2023 |
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author | Krongsut, Sarawut Naraphong, Wipasiri Srikaew, Surachet Anusasnsee, Niyada |
author_facet | Krongsut, Sarawut Naraphong, Wipasiri Srikaew, Surachet Anusasnsee, Niyada |
author_sort | Krongsut, Sarawut |
collection | PubMed |
description | OBJECTIVES: The objective of this study was to compare the sensitivity and specificity of serial ASPECTS for predicting IHM and unfavorable outcome defined by a modified Rankin Scale score ≥3 at the time of discharge from the hospital in thrombolyzed AACIS patients. MATERIALS AND METHODS: This retrospective study examined thrombolyzed AACIS patients admitted at Saraburi Hospital, a regional health-care facility in Thailand. The study was conducted between January 2015 and July 2022. The comparative predictive performance of the baseline ASPECTS, 24-h ASPECTS, and change in ASPECTS for IHM and unfavorable outcome was examined using the receiver operating characteristic (ROC) curves. The optimal cutoff values were identified based on Youden’s index and the nonparametric method to compare the area under the ROC curve (AuROC) among the three scales. The potential confounders adjusted by multivariable logistic regression were reported odds ratio (OR) and 95% confidence interval (CI). RESULTS: Three hundred and forty-five patients with thrombolyzed AACIS were analyzed; the median age was 61.8 ± 15.2 years. 53.0% were male, and the median National Institutes of Health Stroke Scale score was 11 points (interquartile range: 8–17). The AuROC for predicting IHM was 0.823 for the baseline ASPECTS, 0.955 for 24-h ASPECTS, and 0.920 for the change in ASPECTS. For predicting unfavorable outcome, the AuROC was 0.744 for the baseline ASPECTS, 0.853 for 24-h ASPECTS, and 0.800 for the change in ASPECTS. After adjusting for other factors, the OR for predicting IHM was 14.38 (95% CI: 1.69–122.57) for 24-h ASPECTS and 16.7 (95% CI: 4.36–64.01) for the change in ASPECTS. Regarding unfavorable outcome, the adjusted OR was 5.58 (95% CI: 1.83–17.01) for 24-h ASPECTS and 4.85 (95% CI: 2.45–9.60) for the change in ASPECTS. CONCLUSION: The 24-h ASPECTS and change in ASPECTS could be more precise predictors for predicting IHM and unfavorable outcome in patients with thrombolyzed AACIS. |
format | Online Article Text |
id | pubmed-10696360 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Scientific Scholar |
record_format | MEDLINE/PubMed |
spelling | pubmed-106963602023-12-06 Performance of serial CT ASPECTS for predicting stroke outcomes in patients with thrombolyzed acute ischemic stroke Krongsut, Sarawut Naraphong, Wipasiri Srikaew, Surachet Anusasnsee, Niyada J Neurosci Rural Pract Original Article OBJECTIVES: The objective of this study was to compare the sensitivity and specificity of serial ASPECTS for predicting IHM and unfavorable outcome defined by a modified Rankin Scale score ≥3 at the time of discharge from the hospital in thrombolyzed AACIS patients. MATERIALS AND METHODS: This retrospective study examined thrombolyzed AACIS patients admitted at Saraburi Hospital, a regional health-care facility in Thailand. The study was conducted between January 2015 and July 2022. The comparative predictive performance of the baseline ASPECTS, 24-h ASPECTS, and change in ASPECTS for IHM and unfavorable outcome was examined using the receiver operating characteristic (ROC) curves. The optimal cutoff values were identified based on Youden’s index and the nonparametric method to compare the area under the ROC curve (AuROC) among the three scales. The potential confounders adjusted by multivariable logistic regression were reported odds ratio (OR) and 95% confidence interval (CI). RESULTS: Three hundred and forty-five patients with thrombolyzed AACIS were analyzed; the median age was 61.8 ± 15.2 years. 53.0% were male, and the median National Institutes of Health Stroke Scale score was 11 points (interquartile range: 8–17). The AuROC for predicting IHM was 0.823 for the baseline ASPECTS, 0.955 for 24-h ASPECTS, and 0.920 for the change in ASPECTS. For predicting unfavorable outcome, the AuROC was 0.744 for the baseline ASPECTS, 0.853 for 24-h ASPECTS, and 0.800 for the change in ASPECTS. After adjusting for other factors, the OR for predicting IHM was 14.38 (95% CI: 1.69–122.57) for 24-h ASPECTS and 16.7 (95% CI: 4.36–64.01) for the change in ASPECTS. Regarding unfavorable outcome, the adjusted OR was 5.58 (95% CI: 1.83–17.01) for 24-h ASPECTS and 4.85 (95% CI: 2.45–9.60) for the change in ASPECTS. CONCLUSION: The 24-h ASPECTS and change in ASPECTS could be more precise predictors for predicting IHM and unfavorable outcome in patients with thrombolyzed AACIS. Scientific Scholar 2023-11-10 2023 /pmc/articles/PMC10696360/ http://dx.doi.org/10.25259/JNRP_57_2023 Text en © 2023 Published by Scientific Scholar on behalf of Journal of Neurosciences in Rural Practice https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-Share Alike 4.0 License, which allows others to remix, transform, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms. |
spellingShingle | Original Article Krongsut, Sarawut Naraphong, Wipasiri Srikaew, Surachet Anusasnsee, Niyada Performance of serial CT ASPECTS for predicting stroke outcomes in patients with thrombolyzed acute ischemic stroke |
title | Performance of serial CT ASPECTS for predicting stroke outcomes in patients with thrombolyzed acute ischemic stroke |
title_full | Performance of serial CT ASPECTS for predicting stroke outcomes in patients with thrombolyzed acute ischemic stroke |
title_fullStr | Performance of serial CT ASPECTS for predicting stroke outcomes in patients with thrombolyzed acute ischemic stroke |
title_full_unstemmed | Performance of serial CT ASPECTS for predicting stroke outcomes in patients with thrombolyzed acute ischemic stroke |
title_short | Performance of serial CT ASPECTS for predicting stroke outcomes in patients with thrombolyzed acute ischemic stroke |
title_sort | performance of serial ct aspects for predicting stroke outcomes in patients with thrombolyzed acute ischemic stroke |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10696360/ http://dx.doi.org/10.25259/JNRP_57_2023 |
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