脑静脉血栓形成临床过程中的变化

A. I. Sitnikova, L. A. Belova, V. V. Mashin, Yakutkhon Nabievna Madzhidova, Dmitriy Vyacheslavovich Belov
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摘要

本文旨在研究脑静脉血栓形成(CVT)的风险因素和临床过程中的变化。 材料和方法。我们对 50 名年龄在 25-77 岁之间(平均年龄为 52.5±14)的 CVT 患者进行了研究:其中男性 15 例(30.0%),年龄在 46-75 岁之间(平均年龄为 54±12);女性 35 例(75.0%),年龄在 25-77 岁之间(平均年龄为 53.5±14)。 对患者进行了全面的临床和神经系统检查,包括主诉评估、病史、神经系统检查,以区分临床病程的变化。确定了临床过程中每种变化最明显的风险因素。 结果。我们确定了 CVT 临床病程的以下变化:以全身癫痫发作和/或意识障碍形式出现的急性表现--17 例(34.0%);孤立性头痛--10 例(20.0%);局灶性神经症状--6 例(12.0%);渐进性发病--17 例(34.0%)。对于以癫痫发作和/或意识障碍形式出现的急性表现,最典型的风险因素是动脉高血压--9 例(52.9%)、肥胖--10 例(58.8%)、体力活动不足--9 例(52.9%)。就孤立性头痛和渐发性头痛而言,脑血管功能不全是一个具有统计学意义的危险因素(P<0.05)。局灶性神经症状患者最重要的风险因素是动脉高血压和动脉粥样硬化(p<0.05)。根据临床病程,脑血栓定位的差异无统计学意义。 结论结合神经影像学方法识别CVT临床病程中的危险因素和变化有助于改善CVT诊断。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
VARIATIONS IN THE CLINICAL COURSE OF CEREBRAL VENOUS THROMBOSIS
The goal of the paper is to study risk factors and variations in the clinical course of cerebral venous thrombosis (CVT). Materials and Methods. We examined 50 patients with CVT aged 25–77 (mean age 52.5±14): 15 men (30.0 %) aged 46–75 (mean age 54±12) and 35 women (75.0 %) aged 25–77 (mean age 53.5±14). A complete clinical and neurological examination was carried out, including an assessment of complaints, medical history, neurological examinations, which distinguish variations in the clinical course. The most obvious risk factors for each variation in clinical course have been identified. Results. We have identified the following variations in the CVT clinical course: acute manifestation in the form of generalized epileptic seizures and/or impaired consciousness – 17 (34.0 %) cases; isolated headache – 10 (20.0 %) cases; focal neurological symptoms – 6 (12.0 %) cases; gradual onset – 17 (34.0 %) cases. For acute manifestation in the form of epileptic seizures and/or impaired consciousness, the most typical risk factors were arterial hypertension – 9 (52.9 %) cases, obesity – 10 (58.8 %) cases, insufficient physical activity – 9 (52.9 %) cases. For isolated headache and gradual onset option, cerebrovascular insufficiency was a statistically significant risk factor (p<0.05). The most significant risk factors for patients with focal neurological symptoms were arterial hypertension and atherosclerosis (p<0.05). There were no statistically significant differences in the cerebral thrombosis localization based on the clinical course. Conclusion. Identification of risk factors and variations in the CVT clinical course in combination with neuroimaging methods helps to improve CVT diagnosis.
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