Σφακιανάκης Αλέξανδρος
ΩτοΡινοΛαρυγγολόγος
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Σάββατο 21 Απριλίου 2018

Early prediction of poor outcome despite successful recanalization after endovascular treatment for anterior large vessel occlusion stroke.

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Early prediction of poor outcome despite successful recanalization after endovascular treatment for anterior large vessel occlusion stroke.

World Neurosurg. 2018 Apr 16;:

Authors: Wang H, Zhang M, Hao Y, Zi W, Yang D, Zhou Z, Geng Y, Wang Z, Li H, Xu G, Hankey GJ, Xiong Y, Liu X

Abstract
OBJECTIVE: Successful recanalization (SR) of the occluded artery does not always translate into a good outcome for patients with acute anterior circulation large-vessel occlusion stroke. This study aimed to develop a scale to predict poor outcome early despite SR after endovascular treatment (EVT) for candidates identified using current guidelines.
METHODS: The eligible patients with SR were retrospectively enrolled between 2014 and 2016. Poor outcome was defined as modified Rankin Scale of 3 to 6 at 90 days. Multivariable logistic regression was used to derive a PooR outcomE of enDovascular treatment wIth suCcessful recanalizaTion (PREDICT) scale. The discrimination and calibration of the scale were assessed.
RESULTS: A total of 332 patients were enrolled. The PREDICT scale consisted of 5 items (prior intravenous thrombolysis, collateral status, blood glucose, blood neutrophil to lymphocyte ratio, and baseline National Institutes of Health Stroke Scale score). The scale had good discrimination and calibration. The risk of poor outcome was stratified into very low (PREDICT scale score ≤5), low (6-8), moderate (9-11), and high (≥12). Compared with those with a score of ≤5, patients with a score of ≥12 had an 18.33-fold (95% confidence interval [CI], 6.36-52.89) increased risk of poor outcome.
CONCLUSIONS: The PREDICT scale is a practical tool for early prediction of poor outcome despite SR after EVT in our patients and, if validated in other patient populations, may serve as a scale for identifying which patients are most, and least, likely to benefit from EVT.

PMID: 29673825 [PubMed - as supplied by publisher]



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