First-Trimester Screening Program for the Risk of Pre-eclampsia Using a Multiple-Marker Algorithm: A Health Technology Assessment.

Q1 Medicine Ontario Health Technology Assessment Series Pub Date : 2022-12-08 eCollection Date: 2023-01-01
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We also evaluated the accuracy of the FMF algorithm, the budget impact of publicly funding the population-wide FMF-based screening program, and patient preferences and values.</p><p><strong>Methods: </strong>We performed a systematic literature search of the clinical evidence. We assessed the risk of bias of each study using the Risk of Bias in Non-randomized Studies-of Interventions tool and the Quality Assessment of Diagnostic Accuracy Studies-Comparative tool, and the quality of the body of evidence according to the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) Working Group criteria. We performed a systematic economic literature search and conducted a cost-effectiveness analysis comparing the FMF-based screening program to standard care (screening for risk of pre-eclampsia using maternal factors alone) from a public payer perspective. We also analyzed the budget impact of publicly funding a population-wide FMF-based screening program in Ontario. 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引用次数: 0

Abstract

Background: Pre-eclampsia is when high blood pressure develops after 20 weeks of pregnancy and either proteinuria, maternal end-organ dysfunction, or uteroplacental dysfunction causing fetal growth restriction also develops. The Fetal Medicine Foundation has created an algorithm ("the FMF algorithm") that uses maternal factors in combination with biophysical and biochemical markers to identify people at high risk for pre-eclampsia so that they can been offered acetylsalicylic acid (Aspirin) as a preventive measure. We conducted a health technology assessment to evaluate the safety, effectiveness, and cost-effectiveness of a first-trimester population-wide screening program for pre-eclampsia risk that uses the FMF algorithm ("the FMF-based screening program"). We also evaluated the accuracy of the FMF algorithm, the budget impact of publicly funding the population-wide FMF-based screening program, and patient preferences and values.

Methods: We performed a systematic literature search of the clinical evidence. We assessed the risk of bias of each study using the Risk of Bias in Non-randomized Studies-of Interventions tool and the Quality Assessment of Diagnostic Accuracy Studies-Comparative tool, and the quality of the body of evidence according to the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) Working Group criteria. We performed a systematic economic literature search and conducted a cost-effectiveness analysis comparing the FMF-based screening program to standard care (screening for risk of pre-eclampsia using maternal factors alone) from a public payer perspective. We also analyzed the budget impact of publicly funding a population-wide FMF-based screening program in Ontario. We spoke with people who have experience with pregnancy and preeclampsia and their family members through direct interviews to gather preferences and values surrounding pre-eclampsia and the potential screening program.

Results: We included nine studies in the clinical evidence review. The FMF-based screening program likely reduces the risk of pre-eclampsia with delivery at less than 37 weeks' gestation compared with standard care, when initiated at 11+0 to 13+6 weeks' gestation; risk ratios ranged from 0.64 (95% confidence interval [CI] 0.46-0.93) to 0.70 (95% CI 0.58-0.84) (GRADE: Moderate). It may reduce the risks of low birth weight (risk ratio 0.89 [95% CI 0.85-0.94]) and low Apgar score (risk ratio 0.73 [95% CI 0.63-0.85]) (GRADE: Low). Evidence on the effectiveness of the FMF-based screening program in reducing the risk of stillbirth and neonatal death was highly uncertain (GRADE: Very low). In addition, the FMF algorithm can improve the detection rate of pre-eclampsia with delivery at less than 37 weeks' gestation or at less than 34 weeks' gestation compared with conventional algorithms, although there are concerns about bias and applicability across studies. The population-wide FMF-based screening program is more effective and more costly than standard care. The incremental cost-effectiveness ratio of the population-wide FMF-based screening program compared with standard care is $3,446 per prevented case of pre-eclampsia with delivery at less than 37 weeks. The annual budget impact of publicly funding the population-wide FMF-based screening program in Ontario ranges from an additional $1.23 million in year 1 to $3.56 million in year 5, for a total of $8.50 million over the next 5 years. The population-wide FMF-based screening program was seen as valuable by those who have experienced pregnancy and their family members. Strong emphasis was placed on providing education and equitable access as part of any screening program, and participants valued the potential clinical benefits that the population-wide FMF-based screening program could provide.

Conclusions: The FMF-based screening program is likely more effective than standard care in reducing the risk of pre-eclampsia with delivery at less than 37 weeks' gestation. Also, the FMF algorithm can improve the detection rate of pre-eclampsia with delivery at less than 37 weeks' gestation or at less than 34 weeks' gestation when compared with conventional algorithms. The population-wide FMF-based screening program is more effective and more costly than standard care. We estimate that publicly funding the population-wide FMF-based screening program in Ontario would result in additional costs of $8.50 million over the next 5 years. Pregnant people and their family members valued the potential equitable access, information, and clinical benefits that the population-wide FMF-based screening program could provide.

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使用多重标记算法进行先兆子痫风险的第一个三年期筛查计划:健康技术评估。
背景:先兆子痫是指妊娠20周后出现高血压,同时出现蛋白尿、母体末端器官功能障碍或导致胎儿生长受限的子宫胎盘功能障碍。胎儿医学基金会创建了一种算法(“FMF算法”),该算法使用母体因素与生物物理和生物化学标志物相结合来识别先兆子痫高危人群,以便为他们提供乙酰水杨酸(阿司匹林)作为预防措施。我们进行了一项健康技术评估,以评估使用FMF算法(“基于FMF的筛查计划”)的妊娠早期人群先兆子痫风险筛查计划的安全性、有效性和成本效益。我们还评估了FMF算法的准确性、公共资助基于FMF的全民筛查计划的预算影响,以及患者的偏好和价值观。方法:对临床证据进行系统的文献检索。我们使用非随机干预研究中的偏倚风险工具和诊断准确性研究质量评估比较工具评估了每项研究的偏倚危险性,并根据建议评估、发展和评估分级(GRADE)工作组标准评估了证据的质量。我们进行了系统的经济文献检索,并从公共付款人的角度对基于FMF的筛查计划与标准护理(仅使用母体因素筛查先兆子痫风险)进行了成本效益分析。我们还分析了安大略省公共资助基于FMF的全民筛查项目的预算影响。我们通过直接采访采访了有妊娠和先兆子痫经历的人及其家庭成员,以收集有关先兆子痫和潜在筛查计划的偏好和价值观。结果:我们将9项研究纳入临床证据审查。与妊娠11+0至13+6周开始的标准护理相比,基于FMF的筛查计划可能会降低妊娠37周以下分娩的先兆子痫风险;风险比范围从0.64(95%置信区间[CI]0.46-0.93)到0.70(95%CI 0.58-0.84)(等级:中等)。它可以降低低出生体重(风险比0.89[95%CI 0.85-0.94])和低Apgar评分(风险比0.73[95%CI 0.63-0.85])(等级:低)的风险。基于FMF的筛查计划在降低死产和新生儿死亡风险方面的有效性证据非常不确定(等级:非常低)。此外,与传统算法相比,FMF算法可以提高妊娠37周以下或34周以下分娩的先兆子痫的检测率,尽管研究中存在偏差和适用性问题。基于全民FMF的筛查计划比标准护理更有效、成本更高。与标准护理相比,基于FMF的全民筛查计划的成本效益比为每例分娩不到37周的先兆子痫预防病例3446美元。公共资助安大略省基于FMF的全民筛查项目的年度预算影响从第一年的123万美元到第五年的356万美元不等,未来五年总计850万美元。基于全民FMF的筛查计划被那些经历过怀孕的人及其家庭成员视为有价值的。作为任何筛查计划的一部分,强调提供教育和公平的机会,参与者重视基于FMF的全民筛查计划可以提供的潜在临床益处。结论:在降低妊娠期小于37周分娩的先兆子痫风险方面,基于FMF的筛查计划可能比标准护理更有效。此外,与传统算法相比,FMF算法可以提高妊娠小于37周或妊娠小于34周分娩的先兆子痫的检测率。基于全民FMF的筛查计划比标准护理更有效、成本更高。我们估计,在未来5年内,公开资助安大略省基于FMF的全民筛查计划将导致850万美元的额外成本。孕妇及其家庭成员重视基于FMF的全民筛查计划可能提供的潜在公平机会、信息和临床益处。
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来源期刊
Ontario Health Technology Assessment Series
Ontario Health Technology Assessment Series Medicine-Medicine (miscellaneous)
CiteScore
4.60
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0.00%
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