PT -期刊文章AU -亚伦袭击非盟-伯克Ustun AU -安德烈斯·罗德里格斯Ruiz AU - Jong李盟苏泽特LaRoche AU -劳伦斯·赫希AU -艾米丽·吉尔摩盟- Jan Vlachy AU - Hiba海德尔盟辛西娅·鲁丁AU - m .威斯多佛TI -一个实际的风险评分住院病人的脑电图癫痫(S11.002) DP - 2018年4月10 TA -神经病学PG - S11.002 VI - 90 IP - 15补充4099 - //www.ez-admanager.com/content/90/15_Supplement/S11.002.short 4100 - //www.ez-admanager.com/content/9首页0/15_Supplement/S11.002.full所以Neurology2018 4月10;90 AB -目的:利用连续脑电图监测癫痫的危险因素(cEEG)来创建一个简单的评分系统预测的概率电记录的癫痫患者的急性疾病。背景:cEEG使用扩大了,出于亚临床发作住院脑病患者的发病率高。脑电图特征报告为癫痫发作的因素包括痫性放电和定期排放。然而,没有研究检验了这些因素如何影响共同发作风险。这里我们提出一个简单的评分系统发作风险,我们称之为2 helps2b得分。设计/方法:我们使用未来的数据库获得数据集包含24 5427年临床和电记录的变量在24小时cEEG会话。使用这个数据集,我们创建了一个评分系统模型来估计病人接受cEEG发作风险。建造模型的一种新的机器学习方法(RiskSLIM)设计生产准确,risk-calibrated、评分系统与数量有限的变量和小整数权重。我们验证了我们的模型的预测精度和risk-calibration使用交叉验证,并比较其性能与最先进的逻辑回归模型建立方法。结果:我们的最终模型(2 helps2b)的AUC 0.821和平均标定误差为2.7%。它包括6变量与以下点任务:(i)短暂可能发作的有节奏的排放(B) (i) RDs)(2分); (ii) presence of LPD, LRDA, or BIPDs (1 point); (iii) prior seizure (1 point); (iv) sporadic epileptiform discharges (1 point); (v) frequency >2.0Hz for any periodic or rhythmic pattern (1 point); (vi) presence of “plus” features (superimposed, rhythmic, sharp, or fast activity) (1 point). The predicted seizure risk of each score is: 0: 5%, 1: 12%, 2: 27%, 3: 50%, 4: 73%, 5: 88%, 6–7: >95%.Conclusions: The 2HELPS2B score allows accurate prediction of seizures by adding points for 6 readily available variables from the patient history and initial EEG.Study Supported by:This study was supported by a Research Infrastructure award from the American Epilepsy Society and the Epilepsy Foundation.Disclosure: Dr. Struck has nothing to disclose. Dr. Ustun has nothing to disclose. Dr. Rodriguez-Ruiz has nothing to disclose. Dr. Lee has nothing to disclose. Dr. LaRoche has received royalty, license fees, or contractual rights payments from Demos Publishing. Dr. Hirsch has nothing to disclose. Dr Gilmore has nothing to disclose. Dr. Vlachy has nothing to disclose. Dr. Haider has nothing to disclose. Dr. Rudin has nothing to disclose. Dr. Westover has nothing to disclose.