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A Nomogram for Predicting Symptomatic Intracranial Hemorrhage after Endovascular Thrombectomy
Symptomatic intracranial hemorrhage (sICH) is a devastating complication of endovascular thrombectomy (EVT). We aim to develop and validate a nomogram for predicting sICH in patients with large vessel occlusion (LVO) in the anterior circulation. We performed a single-center retrospective analysis on...
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Published in: | Clinical neurology and neurosurgery 2022-07, Vol.218, p.107298-107298, Article 107298 |
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Main Authors: | , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Symptomatic intracranial hemorrhage (sICH) is a devastating complication of endovascular thrombectomy (EVT). We aim to develop and validate a nomogram for predicting sICH in patients with large vessel occlusion (LVO) in the anterior circulation.
We performed a single-center retrospective analysis on collected data from patients undergoing EVT for LVO in the anterior circulation between January 2018 and December 2021. Forward stepwise logistic regression was performed to identify independent predictors of sICH and establish a nomogram. The discrimination and calibration of the model was accessed using the area under the receiver operating characteristic curve (AUC-ROC) and calibration plot. The model was internally validated using bootstrap and 5-fold cross-validation.
243 patients were included, among whom 23 developed sICH (9.5%). After multivariate logistic regression, baseline glucose level (odds ratio [OR], 1.16; p = 0.022), Alberta Stroke Program Early CT Score (OR, 0.44; p |
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ISSN: | 0303-8467 1872-6968 |
DOI: | 10.1016/j.clineuro.2022.107298 |