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METHOD FOR PREDICTING THE SEVERITY OF CEREBRAL VASOSPASM DURING THE ACUTE PERIOD OF ANEURYSMAL SUBARACHNOID HEMORRHAGE

机译：急性期蛛网膜下腔出血急性期脑血管痉挛严重程度的预测方法

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摘要

A method for predicting the severity of cerebral vasospasm during the acute period of aneurysmal subarachnoid hemorrhage includes an instrumental diagnostics method and mathematical modeling method using the regression analysis. Patients with cerebral vasospasm in the acute period of aneurysmal subarachnoid hemorrhage undergo ultrasonography of vessels of the head and neck. These Ultrasonographic indicators of the arteries spasm of the brain base, characteristics of the vasospasm severity (output parameter) are used, the prognosis is made based on clinical and instrumental factors (input parameters: age, number of bleeding episodes, severity of hemorrhage according to computed tomography scans (according to Fisher S., 1990) localization of intracranial aneurysm rupture is detected, duration of an operation from an episode of subarachnoid hemorrhage, surgical complications (intraoperative hemorrhage)). The following formula: , is used for prognosis, where - matrix of input parameters, - the vector of output (forecasted) parameters, - the vector of linear regression coefficients.

机译：预测在动脉瘤性蛛网膜下腔出血急性期的脑血管痉挛的严重程度的方法包括仪器诊断方法和使用回归分析的数学建模方法。在动脉瘤性蛛网膜下腔出血急性期的脑血管痉挛患者需进行头颈血管超声检查。这些脑部动脉痉挛的超声检查指标，血管痉挛严重程度的特征（输出参数），根据临床和仪器因素做出的预后（输入参数：年龄，出血发作次数，出血严重程度取决于计算机断层扫描（根据Fisher S.，1990），检测到颅内动脉瘤破裂的位置，蛛网膜下腔出血发作的持续时间，手术并发症（术中出血））。以下公式：用于预测，其中-输入参数矩阵-输出（预测）参数向量-线性回归系数向量。

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公开/公告号UA98803U

专利类型
公开/公告日2015-05-12

原文格式PDF
申请/专利权人 ROMODANOV INSTITUTE OF NEUROSURGERY OF THE NAMS OF UKRAINE;
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申请/专利号UA20140011831U
发明设计人 HLOBA MARYNA VASYLIIVNA;PYLYPENKO ANDRII YURIIOVYCH;PRYKHODKO OLHA OLEHIVNA;HLOBA LARYSA SERHIIVNA;TSIMEIKO OREST ANDRIIOVYCHCH;
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申请日2014-10-31
分类号A61B8;
国家 UA
入库时间 2022-08-21 15:12:57

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