An update of predictors of cerebral infarction after aneurysmal subarachnoid hemorrhage: systematic review and meta-analysis.
Publication/Presentation Date
2-1-2023
Abstract
INTRODUCTION: Evidence about predictors of poor outcomes such as cerebral infarction (CI) after aneurysmal subarachnoid hemorrhage (aSAH) has not been fully elucidated.
EVIDENCE ACQUISITION: We performed a systematic review and meta-analysis on studies with adults with aSAH considering RCT and non-RCT, prospective, and retrospective cohort studies describing clinical, imaging as well as angiographic studies in patients with aSAH.
EVIDENCE SYNTHESIS: After reviewing the complete text, 11 studies were considered eligible, out of which four were ruled out. Degree of clinical severity was the most predictive factor with a higher degree at the presentation on different severity scales being associated with a statistically significant increasing the risk of suffering a CI following aSAH (OR 2.49 [95% CI 1.38-4.49] P=0.0003). Aneurysm size increased the risk of CI (OR 1.49 [95% CI 1.20-1.85] P=0.0003; I
CONCLUSIONS: The development of vasospasm is a risk factor for CI development after aSAH. In our review, three factors were associated with an increased risk of CI: clinical severity at presentation, vasospasm, and aneurysm size. The major limitation of this meta-analysis is that included studies were conducted retrospectively or were post hoc analyses of a prospective trial.
Volume
67
Issue
1
First Page
1
Last Page
9
ISSN
1827-1855
Published In/Presented At
Florez, W. A., Martinez-Perez, R., Deora, H., Joaquim, A. F., García-Ballestas, E., Quiñones-Ossa, G. A., Rivas-Palacios, C., Agrawal, A., Serrato, S. A., Jabbour, P., & Moscote-Salazar, L. R. (2023). An update of predictors of cerebral infarction after aneurysmal subarachnoid hemorrhage: systematic review and meta-analysis. Journal of neurosurgical sciences, 67(1), 1–9. https://doi.org/10.23736/S0390-5616.22.05445-5
Disciplines
Business Administration, Management, and Operations | Health and Medical Administration | Management Sciences and Quantitative Methods
PubMedID
36112119
Department(s)
Administration and Leadership
Document Type
Article