首页> 外文期刊>Open Journal of Bioresources >Interdisciplinary Research on Aortic Valve Stenosis: A Longitudinal Collection of Biospecimens and Clinical Data of Patients Undergoing Transcatheter Aortic Valve Replacement
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Interdisciplinary Research on Aortic Valve Stenosis: A Longitudinal Collection of Biospecimens and Clinical Data of Patients Undergoing Transcatheter Aortic Valve Replacement

机译:主动脉瓣狭窄的跨学科研究:纵向收集生物显性和经截面主动脉瓣置换术患者的临床资料

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The bioresource (265 patients with 27,600 biospecimens until December 2019; recruitment ongoing)?on severe aortic stenosis is of vital importance to improve the still incomplete understanding of its etiology?as well as its transition to heart failure. The bioresource contains various biospecimens, standardised?clinical?and imaging data sets including transthoracic echocardiography, computed tomography and magnetic?resonance imaging of the heart. Biospecimen sampling follows the SOP-driven collection scheme of the German Center for Cardiovascular Research (DZHK) for venous blood and urine [1]. In addition, left-ventricular endomyocardial biopsies, rectal swabs and skin biopsies (for subsequent generation?of induced pluripotent stem cells) are collected. Data management includes the use of a professional biospecimen?management system as well as a Picture Archiving and Communication System (PACS) for imaging data. A Good Clinical Practice (GCP)-conform software for the management of clinical data and a trusted third party for the management of patient identifying data and pseudonyms are in place. Given these conditions, there is a high reuse-potential for biospecimens and data. Funding statement: Parts of the bioresource were financed by the German Research Foundation (DFG) within the Collaborative Research Center (SFB) 1002.
机译:Bioresource(> 265名患者> 27,600生物起草患者于2019年12月;招聘正在进行)?在严重的主动脉狭窄方面是重要意义,提高对其病因的仍然不完全理解?以及其对心力衰竭的过渡。 Bioresource包含各种生物开发,标准化?临床?和成像数据集,包括Transthoracic超声心动图,计算机断层扫描和磁性?心脏的谐振成像。 Biopecimen采样遵循德国心血管研究(DZHK)的SOP驱动的收集方案,用于静脉血液和尿液[1]。此外,收集左心室子宫内膜活组织检查,直肠拭子和皮肤活组织检查(用于随后的发电诱导的多能干细胞)。数据管理包括使用专业的生物自播?管理系统以及用于成像数据的图像存档和通信系统(PACS)。良好的临床实践(GCP) - 用于管理临床数据的软件和用于管理患者识别数据和假名中的可信第三方的软件就是到位的。鉴于这些条件,有生物复制和数据的高重用潜力。资助声明:德国研究基金会(DFG)在协作研究中心(SFB)1002内的资金是资助的。

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