Interdisciplinary Research on Aortic Valve Stenosis: A Longitudinal Collection of Biospecimens and Clinical Data of Patients Undergoing Transcatheter Aortic Valve Replacement

Q2 Medicine
B. E. Beuthner, R. Topci, Mareike Derks, Thomas Franke, Sandra Seelke, M. Puls, A. Schuster, K. Toischer, M. Valentova, L. Cyganek, E. Zeisberg, C. Jacobshagen, G. Hasenfuss, S. Nussbeck
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引用次数: 5

Abstract

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.
主动脉瓣狭窄的跨学科研究:经导管主动脉瓣置换术患者的生物标本和临床资料的纵向收集
截至2019年12月,生物资源(bbb265例患者,>27,600例生物标本);对严重主动脉瓣狭窄的持续招募对于改善其病因及其向心力衰竭过渡的尚不完整的理解至关重要。生物资源包含各种生物标本,标准化的临床和成像数据集,包括经胸超声心动图,计算机断层扫描和心脏磁共振成像。生物标本采集遵循德国心血管研究中心(DZHK)静脉血和尿液的sop驱动采集方案。此外,收集左心室心肌内膜活检、直肠拭子和皮肤活检(用于诱导多能干细胞的后续产生)。数据管理包括使用专业的生物标本管理系统以及图像存档和通信系统(PACS)来处理成像数据。一个符合良好临床规范(GCP)的软件用于管理临床数据,一个可信的第三方用于管理患者识别数据和假名。鉴于这些条件,生物标本和数据有很高的再利用潜力。资助说明:部分生物资源由德国研究基金会(DFG)在合作研究中心(SFB) 1002内资助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Open Journal of Bioresources
Open Journal of Bioresources Biochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (miscellaneous)
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审稿时长
14 weeks
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