Barry Ciarrah-Jane, Burden Christy, Davies Neil, Walker Venexia
Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, BS82BN, UK.
Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS82BN, UK.
Wellcome Open Res. 2022 Jan 12;7:12. doi: 10.12688/wellcomeopenres.17523.1. eCollection 2022.
Large numbers of women take prescription and over-the-counter medications during pregnancy. However, there is very little definitive evidence about the potential effects of these drugs on the mothers and offspring. We will investigate the risks and benefits of continuing prescriptive drug use for chronic pre-existing maternal conditions such as diabetes, hypertension and thyroid related conditions throughout pregnancy. If left untreated, these conditions are established risk factors for adverse neonatal and maternal outcomes. However, some treatments for these conditions are associated with adverse neonatal outcomes. Our primary aims are twofold. Firstly, we aim to estimate the beneficial effect on the mother of continuing treatment during pregnancy. Second, we aim to determine whether there is an associated detrimental impact on the neonate of continuation of maternal treatment during pregnancy. To establish this evidence, we will investigate the relationship between maternal drug prescriptions and adverse and beneficial offspring outcomes to provide evidence to guide clinical decisions. We will conduct a hypothesis testing observational intergenerational cohort study using data from the UK Clinical Practice Research Datalink (CPRD). We will apply four statistical methods: multivariable adjusted regression, propensity score regression, instrumental variables analysis and negative control analysis. These methods should account for potential confounding when estimating the association between the drug exposure and maternal or neonatal outcome. In this protocol we describe the aims, motivation, study design, cohort and statistical analyses of our study to aid reproducibility and transparency within research.
大量女性在孕期服用处方药和非处方药。然而,关于这些药物对母亲和后代潜在影响的确切证据非常少。我们将研究在整个孕期继续使用处方药治疗母亲预先存在的慢性疾病(如糖尿病、高血压和甲状腺相关疾病)的风险和益处。如果不进行治疗,这些疾病是不良新生儿和母亲结局的既定风险因素。然而,针对这些疾病的一些治疗方法与不良新生儿结局相关。我们的主要目标有两个。首先,我们旨在评估孕期继续治疗对母亲的有益效果。其次,我们旨在确定孕期母亲继续治疗是否会对新生儿产生相关的有害影响。为了确立这一证据,我们将研究母亲的药物处方与后代不良和有益结局之间的关系,以提供指导临床决策的证据。我们将使用来自英国临床实践研究数据链(CPRD)的数据进行一项假设检验观察性代际队列研究。我们将应用四种统计方法:多变量调整回归、倾向评分回归、工具变量分析和阴性对照分析。在估计药物暴露与母亲或新生儿结局之间的关联时,这些方法应考虑潜在的混杂因素。在本方案中,我们描述了我们研究的目的、动机、研究设计、队列和统计分析,以促进研究的可重复性和透明度。