Suppr超能文献

德国囊性纤维化登记处的成功。

Success of the German Cystic Fibrosis Registry.

作者信息

Naehrlich Lutz, Burkhart Manuel

机构信息

Department of Pediatrics, Justus-Liebig-University, Giessen, Germany.

Mukoviszidose Institut gGmbH, Bonn, Germany.

出版信息

Pharmacoepidemiol Drug Saf. 2025 Jan;34(1):e70076. doi: 10.1002/pds.70076.

Abstract

The German Cystic Fibrosis (CF) Registry (GCFR) is a national General Data Protection Regulation-compliant centralised database sponsored by the German Cystic Fibrosis Association (Mukoviszidose e.V.) and based on informed consent for each participating patient, ethical approval, and data protection votes. The aims of the GCFR are to optimise quality of care for CF at the centres, generate epidemiologic overviews, address research questions related to improved CF care, and inform caregivers, patients (aimed at patient empowerment), and health authorities and industry (aimed at care planning and pharmacovigilance). Established in 1995, the Registry has captured data on > 9600 individuals with a combined total of more than 140 000 annual assessments with an estimated coverage rate of > 90%. Patient data are collected after informed consent and confirmed diagnosis of CF, or a CFTR-related disorder, or a screening-positive inconclusive diagnosis of CF (i.e., CFSPID). The registry collects core, encounter, and annual health data. Data include demographics, anthropometrics, lung function, microbiology, CF-specific complications and chronic medications, hospitalisations, demand-oriented antibiotic therapies, and outcomes (death and transplants). Real world and pharmacovigilance studies have been published and additional research underway; there is a formal process for requesting access to the GCFR.

摘要

德国囊性纤维化(CF)登记处(GCFR)是一个符合国家《通用数据保护条例》的集中式数据库,由德国囊性纤维化协会(Mukoviszidose e.V.)赞助,基于每位参与患者的知情同意、伦理批准和数据保护投票。GCFR的目标是优化各中心CF的护理质量,生成流行病学概述,解决与改善CF护理相关的研究问题,并为护理人员、患者(旨在增强患者权能)、卫生当局和行业(旨在护理规划和药物警戒)提供信息。该登记处成立于1995年,已收集了超过9600人的数据,每年评估总数超过14万次,估计覆盖率超过90%。患者数据在获得知情同意并确诊为CF、CFTR相关疾病或CF筛查阳性但诊断不确定(即CFSPID)后收集。该登记处收集核心、就诊和年度健康数据。数据包括人口统计学、人体测量学、肺功能、微生物学、CF特异性并发症和慢性药物治疗、住院情况、按需抗生素治疗以及结局(死亡和移植)。已经发表了真实世界和药物警戒研究,还有其他研究正在进行;有一个正式的程序来申请访问GCFR。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d4a/11706667/490d39c4a3ed/PDS-34-e70076-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验