Maternal and child outcomes for pregnant women with pre-existing multiple long-term conditions: protocol for an observational study in the UK.
Maternal and child outcomes for pregnant women with pre-existing multiple long-term conditions: protocol for an observational study in the UK.
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DOI：
10.1136/bmjopen-2022-068718
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发表时间：
2023-02-24
期刊：
影响因子：
2.9
通讯作者：
中科院分区：
文献类型：
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作者：
在英国，五分之一的孕妇患有多种预先存在的长期疾病。研究表明，母亲的多种长期状况与不良结局有关。这项观察性研究旨在比较患有多种长期疾病的孕妇与没有多种长期疾病（0或1种长期疾病）的孕妇的母婴结局。年龄在15-49岁之间，怀孕日期在2000年至2019年之间的英国孕妇将被纳入随访至2019年。数据源将是来自所有四个英国国家的常规健康记录（临床实践研究数据链（英格兰）、安全匿名信息链接（威尔士）、苏格兰常规健康记录和北方爱尔兰孕产妇系统）和布拉德福德出生队列。将根据妇女和临床医生预先确定的健康状况清单来定义两种或两种以上预先存在的长期身体或精神健康状况。将审查产妇多种长期疾病与妇女及其子女的（a）产前、（B）围产期、（c）产后和长期以及（d）精神健康结果之间的关系。感兴趣的结果将受到核心结果集的指导。将使用改良泊松和考克斯回归对有和无多种长期疾病的孕妇进行比较。广义估计方程将解释有一次以上妊娠发作的女性的聚集效应。在适当情况下，缺失数据将使用链式方程进行多重插补。将对每个数据集进行联合分析，并使用随机效应荟萃分析汇总结果。已从每个英国国家的相应数据来源获得批准。研究结果将在同行评审期刊上发表，并在重要会议上发表。
One in five pregnant women has multiple pre-existing long-term conditions in the UK. Studies have shown that maternal multiple long-term conditions are associated with adverse outcomes. This observational study aims to compare maternal and child outcomes for pregnant women with multiple long-term conditions to those without multiple long-term conditions (0 or 1 long-term conditions). Pregnant women aged 15–49 years old with a conception date between 2000 and 2019 in the UK will be included with follow-up till 2019. The data source will be routine health records from all four UK nations (Clinical Practice Research Datalink (England), Secure Anonymised Information Linkage (Wales), Scotland routine health records and Northern Ireland Maternity System) and the Born in Bradford birth cohort. The exposure of two or more pre-existing, long-term physical or mental health conditions will be defined from a list of health conditions predetermined by women and clinicians. The association of maternal multiple long-term conditions with (a) antenatal, (b) peripartum, (c) postnatal and long-term and (d) mental health outcomes, for both women and their children will be examined. Outcomes of interest will be guided by a core outcome set. Comparisons will be made between pregnant women with and without multiple long-term conditions using modified Poisson and Cox regression. Generalised estimating equation will account for the clustering effect of women who had more than one pregnancy episode. Where appropriate, multiple imputation with chained equation will be used for missing data. Federated analysis will be conducted for each dataset and results will be pooled using random-effects meta-analyses. Approval has been obtained from the respective data sources in each UK nation. Study findings will be submitted for publications in peer-reviewed journals and presented at key conferences.
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影响因子：
3.1
作者：
Aoyama K;D'Souza R;Inada E;Lapinsky SE;Fowler RA
通讯作者：
Fowler RA
影响因子：
2.9
作者：
Lee SI;Eastwood KA;Moss N;Azcoaga-Lorenzo A;Subramanian A;Anand A;Taylor B;Nelson-Piercy C;Yau C;McCowan C;O'Reilly D;Hope H;Kennedy JI;Abel KM;Locock L;Brocklehurst P;Plachcinski R;Brophy S;Agrawal U;Thangaratinam S;Nirantharakumar K;Black M
通讯作者：
Black M
影响因子：
168.9
作者：
Bhaskaran, Krishnan;Douglas, Ian;Forbes, Harriet;dos-Santos-Silva, Isabel;Leon, David A.;Smeeth, Liam
通讯作者：
Smeeth, Liam
影响因子：
5.5
作者：
Admon, Lindsay K.;Winkelman, Tyler N. A.;Dalton, Vanessa K.
通讯作者：
Dalton, Vanessa K.
影响因子：
7.2
作者：
通讯作者：
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