摘要
机器人与机器学习每日新闻——脑血管疾病和疾病的新研究——的新闻记者兼新闻编辑——中风是一篇报道的主题。根据NewsRx记者从中国北京发来的新闻报道，研究表明：“血压(BP)是急性缺血性卒中(AIS)血管内血栓切除术(EVT)临床结果的关键因素。然而，血压昼夜节律对功能结果的影响尚不清楚。”我们的新闻编辑引用北京医院的研究，“这项多中心、回顾性、观察性研究于2016年至2023年在中国三家医院进行，(ChiCTR2300077202)。共407例接受血管内血栓切除术(EVT)并连续24h血压监测的患者被纳入开发组，241例来自北京医院的患者被分配到开发组。”采用北京大学深圳医院和海南总医院166例患者进行体外验证,术后收缩压(SBP)包括白天收缩压、夜间收缩压和24h平均收缩压,最小收缩和选择算子(LASSO),支持向量机递归特征剔除(SVM-RFE)。Boruta用于筛选与功能依赖性相关的潜在特征，定义为3个月修正Rankin量表(mRS)分3.应用9种算法构建模型，并使用受试者操作特征曲线下面积(AUC)、敏感性、特异性和准确性进行评估。407例患者中有328例(80.6%)成功再通，182例(44.7%)功能独立。以改良脑梗塞溶栓分级、房颤、冠状动脉粥样硬化性心脏病、高血压为预后因素,采用三种算法建立基线模型,并与白天收缩压、24h收缩压比较。基线+夜间SBP的AUC在所有算法中均表现出最高的AUC，XGboost模型在所有算法中表现最好。ROC结果显示，基线+夜间SBP模型的开发集AUC为0.841，验证集AUC为0.752.Brier评分为0.198. T，他的研究首次探讨了AIS患者昼夜血压模式与预后之间的关系。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Cerebrovascular Diseases and Cond itions - Stroke is the subject of a report. According to news reporting originat ing from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “Blood pressure (BP) is a key factor for the clinical outcomes of acute ischemic stroke (AIS) receiving endovascular thrombectomy (EVT). However, the e ffect of the circadian pattern of BP on functional outcome is unclear.” Our news editors obtained a quote from the research from Beijing Hospital, “This multicenter, retrospective, observational study was conducted from 2016 to 2023 at three hospitals in China (ChiCTR2300077202). A total of 407 patients who und erwent endovascular thrombectomy (EVT) and continuous 24-h BP monitoring were in cluded. Two hundred forty-one cases from Beijing Hospital were allocated to the development group, while 166 cases from Peking University Shenzhen Hospital and Hainan General Hospital were used for external validation. Postoperative systoli c BP (SBP) included daytime SBP, nighttime SBP, and 24-h average SBP. Least abso lute shrinkage and selection operator (LASSO), support vector machine-recursive feature elimination (SVM-RFE), Boruta were used to screen for potential features associated with functional dependence defined as 3-month modified Rankin scale (mRS) score 3. Nine algorithms were applied for model construction and evaluated using area under the receiver operating characteristic curve (AUC), sensitivity , specificity, and accuracy. Three hundred twenty-eight of 407 (80.6 % ) patients achieved successful recanalization and 182 patients (44.7% ) were functional independent.NIHSS at onset, modified cerebral infarction thro mbolysis grade, atrial fibrillation, coronary atherosclerotic heart disease, hyp ertension were identified as prognostic factors by the intersection of three alg orithms to construct the baseline model. Compared to daytime SBP and 24-h SBP mo dels, the AUC of baseline + nighttime SBP showed the highest AUC in all algorith ms. The XGboost model performed the best among all the algorithms. ROC results s howed an AUC of 0.841 in the development set and an AUC of 0.752 in the validati on set for the baseline plus nighttime SBP model, with a brier score of 0.198. T his study firstly explored the association between circadian BP patterns with fu nctional outcome for AIS.”
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