| Literature DB >> 28117261 |
Yuezhou Cao1, Shuiping Wang2, Wen Sun3, Qiliang Dai3, Wei Li3, Jin Cai3, Xinying Fan3, Wusheng Zhu3, Yunyun Xiong3, Yunfei Han3, Wenjie Zi3, Shiquan Yang2, Jia Chen2, Xinfeng Liu4.
Abstract
Our objective was to investigate a method for assessing early improvement and its predictive value for 3-month functional outcome in patients treated with EST. A total of 97 consecutive AIS patients undergoing EST were prospectively collected and retrospective reviewed. Data on demographics, vascular risk factors, admission National Institutes of Health Stroke Scale (NIHSS) score, 24-h NIHSS score, reperfusion and collateral formation were collected. Percent improvement was defined as ([baseline NIHSS score-24-h NIHSS score]/baseline NIHSS score×100%), while absolute improvement was calculated by the difference between scores (baseline NIHSS score-24-h NIHSS score). A 3-month functional outcome was assessed using the modified Rankin Scale (mRS). Favorable outcome was defined as a mRS score of 0-2. Areas under the receiver-operating characteristic (ROC) curve (AUC) for percent improvement and absolute improvement in predicting favorable outcome was compared. Finally, we investigated the independent predictors of improvement at 24h after EST and its relationship with favorable outcome. Pairwise comparison of ROC curves revealed that percent improvement had larger AUC than absolute improvement (p=0.004). Rapid neurological improvement (RNI), defined as percent improvement ⩾30%, was a powerful predictor of favorable outcome (odds ratio [OR] 7.63, confidence interval [CI]: 2.65-21.96; p<0.001). Good collaterals (OR 2.86; 95% CI: 1.11-7.38; p=0.030) and short onset-to-reperfusion time (ORT) (OR 3.02, 95% CI: 1.17-7.80; p=0.022) were independent predictors of RNI. RNI predicted 3-month favorable outcome in AIS patients treated with EST. Good collaterals and short ORT are independent predictors of RNI.Entities:
Keywords: Acute ischemic stroke; Endovascular stent thrombectomy; Predictive factors; ROC curve
Mesh:
Year: 2017 PMID: 28117261 DOI: 10.1016/j.jocn.2016.12.045
Source DB: PubMed Journal: J Clin Neurosci ISSN: 0967-5868 Impact factor: 1.961