International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium
International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium
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DOI：
10.1038/s41746-020-00308-0
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发表时间：
2020-08-19
影响因子：
15.2
通讯作者：
Kohane, Isaac S.
中科院分区：
文献类型：
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作者：
Brat, Gabriel A.;Weber, Griffin M.;Kohane, Isaac S.
我们利用电子健康记录数据这一基本上尚未开发的资源，来解决有关2019冠状病毒病（COVID-19）的关键临床和流行病学问题。为此，我们成立了一个由五个国家的96家医院组成的国际联盟（4CE）（）。贡献者利用整合生物学和床边信息学（i2 b2）或观察性医学成果伙伴关系（OMOP）平台映射到一个通用的数据模型。该小组重点关注关键实验室检测值的时间变化。统一后的数据在当地进行了分析，并转换为共享的汇总形式，以便对区域差异和全球共性进行快速分析和可视化。数据涵盖27，584例COVID-19病例，187，802次实验室检测。病例计数和实验室轨迹与现有文献一致。诊断时的实验室检查显示，医院水平的差异相当于联盟合作伙伴之间的国家水平差异。尽管分散式数据生成存在局限性，但我们建立了一个框架，以捕捉患者的COVID-19疾病轨迹及其对干预措施的反应。
We leveraged the largely untapped resource of electronic health record data to address critical clinical and epidemiological questions about Coronavirus Disease 2019 (COVID-19). To do this, we formed an international consortium (4CE) of 96 hospitals across five countries (). Contributors utilized the Informatics for Integrating Biology and the Bedside (i2b2) or Observational Medical Outcomes Partnership (OMOP) platforms to map to a common data model. The group focused on temporal changes in key laboratory test values. Harmonized data were analyzed locally and converted to a shared aggregate form for rapid analysis and visualization of regional differences and global commonalities. Data covered 27,584 COVID-19 cases with 187,802 laboratory tests. Case counts and laboratory trajectories were concordant with existing literature. Laboratory tests at the time of diagnosis showed hospital-level differences equivalent to country-level variation across the consortium partners. Despite the limitations of decentralized data generation, we established a framework to capture the trajectory of COVID-19 disease in patients and their response to interventions.