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Post-endovascular treatment, blood-brain barrier disruption, predicts patient outcomes better than pre-treatment status.
- Source :
-
Neurological Sciences . Sep2024, Vol. 45 Issue 9, p4383-4390. 8p. - Publication Year :
- 2024
-
Abstract
- Objectives: Blood-brain barrier (BBB) disruption is an important pathological change after cerebral infarction that exacerbates brain injury. We aimed to investigate and compare the predictive utility of pre-treatment BBB permeability (BBBP) and BBBP within 1 h after endovascular treatment (EVT) for hemorrhagic transformation (HT) and 90-day prognosis. Methods: Patients underwent preoperative computed tomography perfusion (CTP) and non-contrast CT (NCCT) within 1 h after EVT. Preoperative BBBP was determined by the relative permeability surface area product (rPS) in the hypoperfusion area. Postoperative BBBP was determined by the post-EVT Alberta Stroke Program Early CT Score (Post-ASPECTS), which is based on brain parenchymal hyperdensity on the postoperative NCCT. Outcomes: We included 100 patients. Univariate logistic regression analysis revealed correlations of preoperative rPS with HT, poor outcomes, and death. However, these correlations were not observed in multivariate logistic regression. A Post-ASPECTS ≤7 and could independently predict poor outcomes, while Post-ASPECTS ≤6 could independently predict death and HT. The baseline National Institutes of Health Stroke Scale (NIHSS) score could independently predict poor outcomes and death but not HT. A combined model using the baseline NIHSS and Post-ASPECTS scores had better predictive performance for poor outcomes and death than baseline NIHSS score alone; however, it was not superior to the predictive performance of the Post-ASPECTS score. Conclusion: The preoperative rPS cannot independently predict clinical outcomes in EVT-treated patients; contrastingly, the Post-ASPECTS score could independently predict poor outcomes, death, and HT. This parameter could inform prompt postoperative treatment decisions. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 15901874
- Volume :
- 45
- Issue :
- 9
- Database :
- Academic Search Index
- Journal :
- Neurological Sciences
- Publication Type :
- Academic Journal
- Accession number :
- 178877882
- Full Text :
- https://doi.org/10.1007/s10072-024-07468-x