Danish Dementia Research Centre, Department of Neurology, The Neuroscience Centre, Rigshospitalet, Copenhagen, Denmark.
Research Unit for General Practice and Section of General Practice, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
BMJ Open. 2020 May 24;10(5):e034318. doi: 10.1136/bmjopen-2019-034318.
The Copenhagen Primary Care Laboratory Pregnancy (CopPreg) database was established based on data from The Danish Medical Birth Register and the Copenhagen Primary Care Laboratory (CopLab) database. The aim was to provide a biomedical and epidemiological data resource for research in early disease programming (eg, parental clinical biomarker levels and pregnancy/ birth outcomes or long-term health in the offspring).
The cohort consisted in total of 203 608 women (with 340 891 pregnancies) who gave birth to 348 248 children and with 200 590 related fathers. In this paper, we focused on women and fathers who had clinical test requisitions prior to and during pregnancy, and on all children. Thus, the cohort in focus consisted of 203 054 pregnancies with requisitions on 147 045 pregnant women, 39 815 fathers with requisitions during periconception and 65 315 children with requisitions.
In addition to information on pregnancy and birth health status and general socio-demographic data, over 2.2 million clinically relevant test results were available for pregnancies with requisitions, over 1.5 million for children and over 600 000 test results were available for the fathers with requisitions during periconception. These were ordered by general practitioners in the primary care setting only and included general blood tests, nutritional biomarkers (macronutrients and micronutrients) and hormone tests. Information on tests related to infections, allergies, heart and lung function and sperm analyses (fathers) were also available.
The CopPreg database provides ready to use and valid data from already collected, objectively measured and analysed clinical tests. With several research projects planned, we further invite national and international researchers to use this vast data resource. In a coming paper, we will explore and discuss the indication bias in our cohort.
哥本哈根初级保健实验室妊娠(CopPreg)数据库是基于丹麦医学出生登记处和哥本哈根初级保健实验室(CopLab)数据库的数据建立的。其目的是为早期疾病编程的研究提供生物医学和流行病学数据资源(例如,父母的临床生物标志物水平和妊娠/分娩结果或后代的长期健康)。
该队列共有 203608 名女性(340891 次妊娠)生育了 348248 名儿童,其中 200590 名相关父亲。在本文中,我们重点关注在妊娠前和妊娠期间有临床检测申请的女性和父亲,以及所有儿童。因此,重点关注的队列包括 203054 次妊娠,有 147045 名孕妇有申请,39815 名父亲在围孕期有申请,65315 名儿童有申请。
除了妊娠和分娩健康状况以及一般社会人口统计学数据的信息外,有 220 多万份与妊娠申请相关的临床相关检测结果,150 多万份与儿童相关的检测结果,以及 60 多万份与围孕期父亲申请相关的检测结果可用。这些都是由初级保健机构的全科医生开具的,包括一般血液检查、营养生物标志物(宏量营养素和微量营养素)和激素检查。还可以获得与感染、过敏、心肺功能和精子分析(父亲)相关的检查信息。
CopPreg 数据库提供了现成的、可用于从已经收集的、客观测量和分析的临床检测中使用的数据。随着几个研究项目的计划,我们进一步邀请国内外研究人员使用这一庞大的数据资源。在即将发表的一篇论文中,我们将探讨和讨论我们队列中的指征偏倚。