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A new nomogram for individualized prediction of the probability of hemorrhagic transformation after intravenous thrombolysis for ischemic stroke patients

机译:缺血性脑卒中患者静脉溶栓后出血性转化概率的个性化预测的新载体

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A reliable scoring tool to detect the risk of intracerebral hemorrhage (ICH) after intravenous thrombolysis for ischemic stroke is warranted. The present study was designed to develop and validate a new nomogram for individualized prediction of the probability of hemorrhagic transformation (HT) in patients treated with intravenous (IV) recombinant tissue plasminogen activator (rt-PA). We enrolled patients who suffered from acute ischemic stroke (AIS) with IV rt-PA treatment in our emergency green channel between August 2016 and July 2018. The main outcome was defined as any type of intracerebral hemorrhage according to the European Cooperative Acute Stroke Study II (ECASS II). All patients were randomly divided into two cohorts: the primary cohort and the validation cohort. On the basis of multivariate logistic model, the predictive nomogram was generated. The performance of the nomogram was evaluated by Harrell’s concordance index (C-index) and calibration plot. A total of 194 patients with complete data were enrolled, of whom 131 comprised the primary cohort and 63 comprised the validation cohort, with HT rate 12.2, 9.5% respectively. The score of chronic disease scale (CDS), the global burden of cerebral small vascular disease (CSVD), National Institutes of Health Stroke Scale (NIHSS) score?≥?13, and onset-to-treatment time (OTT)?≥?180 were detected important determinants of ICH and included to construct the nomogram. The nomogram derived from the primary cohort for HT had C- Statistics of 0.9562 and the calibration plot revealed generally fit in predicting the risk of HT. Furthermore, we made a comparison between our new nomogram and several other risk-assessed scales for HT with receiver operating characteristic (ROC) curve analysis, and the results showed the nomogram model gave an area under curve of 0.9562 (95%CI, 0.9221–0.9904, P??0.01) greater than HAT (Hemorrhage After Thrombolysis), SEDAN (blood Sugar, Early infarct and hyper Dense cerebral artery sign on non-contrast computed tomography, Age, and NIHSS) and SPAN-100 (Stroke Prognostication using Age and NIHSS) scores. This proposed nomogram based on the score of CDS, the global burden of CSVD, NIHSS score?≥?13, and OTT?≥?180 gives rise to a more accurate and more comprehensive prediction for HT in patients with ischemic stroke receiving IV rt-PA treatment.
机译:保证了一种可靠的评分工具,以检测静脉溶栓治疗缺血性卒中后脑出血(ICH)的风险。本研究旨在开发和验证具有静脉化(IV)重组组织纤溶酶原激活剂(RT-PA)治疗的患者出血性转化(HT)概率的个性化预测的新ROMO图。我们注册了在2016年8月至2018年8月至7月期间在我们的紧急绿色渠道中进行急性缺血性脑卒中(AIS)患有急性缺血性卒中(AIS)的患者。主要结果是根据欧洲合作急性中风研究的任何类型的脑出血(ECASS II)。所有患者均随机分为两个队列:主要队列和验证队列。在多变量逻辑模型的基础上,产生预测的NOM图。罗伦的一致性索引(C-INDEX)和校准图评估了NOM图的性能。共有194例完整数据的患者,其中131名包括初级队列,63个组成了验证队列,分别为HT率12.2,9.5%。慢性疾病规模(CDS)的得分,全球脑小血管疾病(CSVD),国家卫生卒中量表(NIHSS)得分?≥?13,并开始治疗时间(OTT)?≥?检测到ICH的重要决定因素并包括为构建规范图。来自PR HT的主要队列的铭文具有0.9562的C-统计,并且校准曲线显示通常适合预测HT的风险。此外,我们在HT与接收器操作特征(ROC)曲线分析之间的新ROM图和几种其他风险评估尺度之间的比较,结果显示了NOMAGUP模型在0.9562(95%CI,0.9221)下进行了一个区域。 0.9904,p?<?0.01)大于帽子(溶栓后出血),轿车(血糖,早期梗塞和高密度的脑动脉签到非对比计算断层扫描,年龄和​​NIHSS)和SPAN-100(中风预测使用年龄和nihss)得分。这一提出的墨水图基于CDS的得分,全球CSVD的负担,NIHSS得分?≥?13和OTT?≥180引起缺血性卒中患者的HT更准确和更全面的预测,接受IV RT- PA治疗。

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