Murugesu Sughashini, Braun Emily, Saso Srdjan, Bourne Tom
Queen Charlotte's and Chelsea Hospital, Imperial College, London, UK.
Department of Metabolism, Digestion and Reproduction, Imperial College, London, UK.
Acta Obstet Gynecol Scand. 2024 Dec;103(12):2348-2372. doi: 10.1111/aogs.14934. Epub 2024 Aug 9.
15.3% of pregnancies result in miscarriage, management options include expectant, medical, or surgical. However, each patient has a range of variables, which makes navigating the available literature challenging when supporting individual patient decision-making. This systematic review aims to investigate whether there are any specific predictors for miscarriage management outcome.
The following databases were searched, from the start of each database up to April 2023: PubMed, Medline, and Google Scholar. Inclusion criteria were studies interrogating defined predictors for expectant or medical management of miscarriage success. Exclusion criteria were poor quality, review articles, trial protocols, and congress abstracts. Data collection was carried as per PRISMA guidelines. Quality assessment for each study was assessed using the QUIPS proforma.
Relevant predictors include demographics, ultrasound features, presenting symptoms, and biochemical markers. Across the 24 studies there is heterogeneity in miscarriage definition, predictors reported, and management outcomes used. Associations with certain variables and miscarriage management outcomes are described. Ten studies assessed the impact of miscarriage type on expectant and/or medical management. The majority found that a diagnosis of incomplete miscarriage had a higher success rate following expectant or medical management compared to missed miscarriage or anembryonic pregnancy.
We conclude that there is evidence supporting the possibility to offer personalized miscarriage management advice with case specific predictors. Further larger studies with consistent definitions of predictors, management, and outcomes are needed in order to better support women through the decision-making of miscarriage management.
15.3%的妊娠会导致流产,管理方案包括期待治疗、药物治疗或手术治疗。然而,每个患者都有一系列变量,这使得在支持个体患者决策时,梳理现有文献具有挑战性。本系统评价旨在调查流产管理结果是否存在任何特定的预测因素。
检索了以下数据库,从每个数据库创建之初至2023年4月:PubMed、Medline和谷歌学术。纳入标准为研究探讨流产期待治疗或药物治疗成功的明确预测因素。排除标准为质量差的研究、综述文章、试验方案和会议摘要。数据收集按照PRISMA指南进行。使用QUIPS表格对每项研究进行质量评估。
相关预测因素包括人口统计学、超声特征、临床表现和生化标志物。在这24项研究中,流产的定义、报告的预测因素和使用的管理结果存在异质性。描述了某些变量与流产管理结果之间的关联。十项研究评估了流产类型对期待治疗和/或药物治疗的影响。大多数研究发现,与稽留流产或空孕囊妊娠相比,不全流产诊断在期待治疗或药物治疗后的成功率更高。
我们得出结论,有证据支持根据具体病例的预测因素提供个性化流产管理建议的可能性。需要进一步开展更大规模的研究,并对预测因素、管理方法和结果进行统一界定以便在流产管理决策过程中更好地为女性提供支持