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整合来自多个芬兰生物库和国家健康保健登记处的数据进行回顾性研究:实践经验。

Integrating data from multiple Finnish biobanks and national health-care registers for retrospective studies: Practical experiences.

机构信息

VTT Technical Research Centre of Finland Ltd (Espoo), Finland.

VTT Technical Research Centre of Finland Ltd (Tampere), Finland.

出版信息

Scand J Public Health. 2022 Jun;50(4):482-489. doi: 10.1177/14034948211004421. Epub 2021 Apr 12.

Abstract

This case study aimed to investigate the process of integrating resources of multiple biobanks and health-care registers, especially addressing data permit application, time schedules, co-operation of stakeholders, data exchange and data quality. We investigated the process in the context of a retrospective study: Pharmacogenomics of antithrombotic drugs (PreMed study). The study involved linking the genotype data of three Finnish biobanks (Auria Biobank, Helsinki Biobank and THL Biobank) with register data on medicine dispensations, health-care encounters and laboratory results. We managed to collect a cohort of 7005 genotyped individuals, thereby achieving the statistical power requirements of the study. The data collection process took 16 months, exceeding our original estimate by seven months. The main delays were caused by the congested data permit approval service to access national register data on health-care encounters. Comparison of hospital data lakes and national registers revealed differences, especially concerning medication data. Genetic variant frequencies were in line with earlier data reported for the European population. The yearly number of international normalised ratio (INR) tests showed stable behaviour over time.

摘要

本案例研究旨在探讨整合多个生物库和医疗登记处资源的过程,特别是解决数据许可申请、时间安排、利益相关者合作、数据交换和数据质量等问题。我们在一项回顾性研究的背景下调查了这一过程:抗血栓药物的药物基因组学(PreMed 研究)。该研究涉及将三个芬兰生物库(Auria 生物库、赫尔辛基生物库和 THL 生物库)的基因型数据与药物配给、医疗接触和实验室结果的登记数据相链接。我们设法收集了一个包含 7005 名基因分型个体的队列,从而满足了研究的统计效力要求。数据收集过程耗时 16 个月,比最初估计的时间延长了 7 个月。主要的延迟是由于获取国家医疗接触登记数据的拥挤数据许可审批服务造成的。医院数据湖和国家登记处之间的比较显示出差异,特别是在药物数据方面。遗传变异频率与之前报道的欧洲人群数据一致。国际标准化比值(INR)测试的年数量显示出随着时间的推移稳定的变化趋势。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/729d/9152591/cb72151d56bf/10.1177_14034948211004421-fig1.jpg

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