Ukah U Vivian, De Silva Dane A, Payne Beth, Magee Laura A, Hutcheon Jennifer A, Brown Helen, Ansermino J Mark, Lee Tang, von Dadelszen Peter
Department of Obstetrics and Gynaecology, University of British Columbia, Vancouver, BC, Canada; Healthy Starts Theme, BC Children's Hospital Research, Vancouver, BC, Canada.
Department of Obstetrics and Gynaecology, University of British Columbia, Vancouver, BC, Canada.
Pregnancy Hypertens. 2018 Jan;11:115-123. doi: 10.1016/j.preghy.2017.11.006. Epub 2017 Nov 21.
The hypertensive disorders of pregnancy are a leading cause of maternal and perinatal mortality and morbidity. The ability to predict these complications using simple tests could aid in management and improve outcomes. We aimed to systematically review studies that reported on potential predictors of adverse maternal outcomes among women with a hypertensive disorder of pregnancy.
We searched MEDLINE, Embase and CINAHL (inception - December 2016) for studies of predictors of severe maternal complications among women with a hypertensive disorder of pregnancy. Studies were selected in a two-stage process by two independent reviewers, excluding those reporting only on adverse fetal outcomes. We extracted data on study and test(s) characteristics and outcomes. Accuracy of prediction was assessed using sensitivity, specificity, likelihood ratios and area under the receiver operating curve (AUROC). Strong evidence of prediction was taken to be a positive likelihood ratio >10 or a negative likelihood ratio <0.1, and for multivariable models, an AUROC ≥0.70. Bivariate random effects models were used to summarise performance when possible.
Of 32 studies included, 28 presented only model development and four examined external validation. Tests included symptoms and signs, laboratory tests and biomarkers. No single test was a strong independent predictor of outcome. The most promising prediction was with multivariable models, especially when oxygen saturation, or chest pain/dyspnea were included.
Future studies should investigate combinations of tests in multivariable models (rather than single predictors) to improve identification of women at high risk of adverse outcomes in the setting of the hypertensive disorders of pregnancy.
妊娠期高血压疾病是孕产妇和围产儿发病及死亡的主要原因。利用简单检测手段预测这些并发症的能力有助于管理并改善结局。我们旨在系统评价报告妊娠期高血压疾病女性不良孕产妇结局潜在预测因素的研究。
我们检索了MEDLINE、Embase和CINAHL(起始时间 - 2016年12月),以查找妊娠期高血压疾病女性严重孕产妇并发症预测因素的研究。由两名独立 reviewers 通过两阶段过程选择研究,排除仅报告不良胎儿结局的研究。我们提取了关于研究及检测特征和结局的数据。使用敏感性、特异性、似然比和受试者工作特征曲线下面积(AUROC)评估预测准确性。预测的有力证据为阳性似然比>10或阴性似然比<0.1,对于多变量模型,AUROC≥0.70。可能时使用双变量随机效应模型总结性能。
纳入的32项研究中,28项仅展示了模型开发,4项进行了外部验证。检测包括症状和体征、实验室检测和生物标志物。没有单一检测是结局的有力独立预测因素。最有前景的预测是使用多变量模型,尤其是纳入血氧饱和度或胸痛/呼吸困难时。
未来研究应调查多变量模型中的检测组合(而非单一预测因素),以改善妊娠期高血压疾病背景下不良结局高危女性的识别。