Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, 423 Guardian Drive, 421 Blockley Hall, Philadelphia, PA, 19104, USA.
Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, USA.
Sci Rep. 2022 Nov 24;12(1):20314. doi: 10.1038/s41598-022-24218-1.
Information on effects of medication therapies during pregnancy is lacking as pregnant patients are often excluded from clinical trials. This retrospective study explores the potential of using electronic health record (EHR) data to inform safety profiles of repurposed COVID medication therapies on pregnancy outcomes using pre-COVID data. We conducted a medication-wide association study (MWAS) on prescription medication exposures during pregnancy and the risk of cesarean section, preterm birth, and stillbirth, using EHR data between 2010-2017 on deliveries at PennMedicine. Repurposed drugs studied for treatment of COVID-19 were extracted from ClinicalTrials.gov (n = 138). We adjusted for known comorbidities diagnosed within 2 years prior to birth. Using previously developed medication mapping and delivery-identification algorithms, we identified medication exposure in 2,830 of a total 63,334 deliveries; from 138 trials, we found 31 medications prescribed and included in our cohort. We found 21 (68%) of the 31 medications were not positively associated with increased risk of the outcomes examined. With caution, these medications warrant potential for inclusion of pregnant individuals in future studies, while drugs found to be associated with pregnancy outcomes require further investigation. MWAS facilitates hypothesis-driven evaluation of drug safety across all prescription medications, revealing potential drug candidates for further research.
由于孕妇通常被排除在临床试验之外,因此缺乏有关药物治疗对妊娠影响的信息。本回顾性研究探讨了利用电子健康记录 (EHR) 数据在 COVID 之前的数据来告知重新利用的 COVID 药物治疗对妊娠结局的安全性概况的可能性。我们在宾夕法尼亚大学医学中心进行了一项药物广泛关联研究 (MWAS),研究了怀孕期间处方药物暴露与剖宫产、早产和死产风险之间的关系,研究数据来自 2010 年至 2017 年期间的 EHR 分娩数据。从 ClinicalTrials.gov 中提取了用于治疗 COVID-19 的重新利用药物(n=138)。我们调整了在出生前 2 年内诊断出的已知合并症。使用先前开发的药物映射和分娩识别算法,我们在总共 63334 次分娩中的 2830 次中确定了药物暴露情况;从 138 项试验中,我们发现 31 种药物被开处方并包含在我们的队列中。我们发现,在 31 种药物中,有 21 种(68%)药物与所检查结局的风险增加没有正相关关系。需要谨慎的是,这些药物有可能将孕妇纳入未来的研究中,而与妊娠结局相关的药物则需要进一步研究。MWAS 促进了对所有处方药物安全性的假设驱动评估,揭示了进一步研究的潜在药物候选物。