Staszewski Jacek, Piusińska-Macoch Renata, Skrobowska Ewa, Brodacki Bogdan, Pawlik Rafał, Dutkiewicz Tomasz, Piechota Wiesław, Rączka Alicja, Tomczykiewicz Kazimierz, Stępień Adam
Clinic of Neurology, Military Institute of Medicine, Szaserow 128, 04-141 Warsaw, Poland.
Department of Radiology, Military Institute of Medicine, Szaserow 128, 04-141 Warsaw, Poland.
Neurosci J. 2013;2013:424695. doi: 10.1155/2013/424695. Epub 2013 Jan 2.
Rationale. This paper describes the rationale and design of the SHEF-CSVD Study, which aims to determine the long-term clinical and radiological course of cerebral small vessel disease (CSVD) and to evaluate haemostatic and haemodynamic prognostic factors of the condition. Design. This single-centre, prospective, non-interventional cohort study will follow 150 consecutive patients with different clinical manifestations of CSVD (lacunar ischaemic stroke, vascular dementia, vascular parkinsonism or spontaneous deep, intracerebral haemorrhage) and 50 age- and sex-matched controls over a period of 24 months. The clinical and radiological course will be evaluated basing on a detailed neurological, neuropsychological and MRI examinations. Haemodynamic (cerebral vasoreactivity, 24 h blood pressure control) and haemostatic factors (markers of endothelial and platelet dysfunction, brachial artery flow-mediated dilatation test) will be determined. Discussion. The scheduled study will specifically address the issue of haemodynamic and haemostatic prognostic factors and their course over time in various clinical manifestations of CSVD. The findings may aid the development of prophylactic strategies and individualised treatment plans, which are critical during the early stages of the disease.
原理。本文描述了SHEF-CSVD研究的原理和设计,该研究旨在确定脑小血管病(CSVD)的长期临床和影像学病程,并评估该疾病的止血和血流动力学预后因素。设计。这项单中心、前瞻性、非干预性队列研究将对150例连续的有不同CSVD临床表现(腔隙性缺血性卒中、血管性痴呆、血管性帕金森综合征或自发性深部脑内出血)的患者以及50例年龄和性别匹配的对照进行为期24个月的随访。临床和影像学病程将基于详细的神经学、神经心理学和MRI检查进行评估。将测定血流动力学(脑血管反应性、24小时血压控制)和止血因素(内皮和血小板功能障碍标志物、肱动脉血流介导的扩张试验)。讨论。预定的研究将特别解决CSVD各种临床表现中血流动力学和止血预后因素及其随时间变化的问题。这些发现可能有助于制定预防性策略和个体化治疗方案,这在疾病早期至关重要。