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DOI 10.1371/journal.pone.0173737

Медицинская библиотека · PloS one · 2017

Early computed tomography-based scores to predict decompressive hemicraniectomy after endovascular therapy in acute ischemic stroke.

Maier Ilko L, Behme Daniel, Schnieder Marlena, Tsogkas Ioannis, Schregel Katharina, Bähr Mathias, Knauth Michael, Liman Jan, Psychogios Marios-Nikos

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Аннотация

BACKGROUND

Identification of patients requiring decompressive hemicraniectomy (DH) after endovascular therapy (EVT) is crucial as clinical signs are not reliable and early DH has been shown to improve clinical outcome. The aim of our study was to identify imaging-based scores to predict the risk for space occupying ischemic stroke and DH.

METHODS

Prospectively derived data from patients with acute large artery occlusion within the anterior circulation and EVT was analyzed in this monocentric study. Predictive value of non-contrast cranial computed tomography (ncCT) and cerebral blood volume (CBV) Alberta Stroke Program Early CT score (ASPECTS) were investigated for DH using logistic regression models and Receiver Operating Characteristic Curve analysis.

RESULTS

From 218 patients with EVT, DH was performed in 20 patients (9.2%). Baseline- (7 vs. 9; p = 0.009) and follow-up ncCT ASPECTS (1 vs. 7, p<0.001) as well as baseline CBV ASPECTS (5 vs. 7, p<0.001) were significantly lower in patients with DH. ncCT (baseline: OR 0.71, p = 0.018; follow-up: OR 0.32, p = <0.001) and CBV ASPECTS (OR 0.63, p = 0.008) predicted DH. Cut-off ncCT-ASPECTS on baseline was 7-, ncCT-ASPECTS on follow-up was 4- and CBV ASPECTS on baseline was 5 points.

CONCLUSIONS

ASPECTS could be useful to early identify patients requiring DH after EVT for acute large vessel occlusion.

Для цитирования: Maier Ilko L, Behme Daniel, Schnieder Marlena, Tsogkas Ioannis, Schregel Katharina, Bähr Mathias, Knauth Michael, Liman Jan, Psychogios Marios-Nikos. Early computed tomography-based scores to predict decompressive hemicraniectomy after endovascular therapy in acute ischemic stroke.. PloS one. 2017. DOI: 10.1371/journal.pone.0173737.

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