基于网络的重复筛查对产后抑郁的预测效果评价卡塔尔世界杯8强波胆分析前瞻性队列研究%A Haßdenteufel,Kathrin %A Lingenfelder,Katrin %A Schwarze,Cornelia E %A Feisst,Manuel %A Brusniak,Katharina %A Matthies,Lina Maria %A Goetz,Maren %A Wallwiener,Markus %A Wallwiener,Stephanie %+海德堡大学妇产科，Im Neuenheimer Feld 440，海德堡，D-69120，德国，49 62215637551，stephanie.wallwiener@med.uni-heidelberg.de %K产后抑郁%K爱丁堡产后抑郁量表%K筛查%K妊娠%K算法%D 2021 %7 10.12.2021 %9背景:产后抑郁(postpartum depression, PPD)是一种严重的精神障碍，常导致母婴依恋不良，对婴儿发育产生负面影响。最近建议进行普遍筛查以确定有风险的妇女，但迄今为止尚未确定怀孕期间的最佳筛查时间。因此，在育龄妇女中广泛使用的网络技术为在早期阶段发现具有不良心理健康后果高风险的妊娠创造了新的机会。目的:本研究的目的是通过使用基于网络的筛查工具收集电子患者报告结果(ePROs)作为筛查算法的基础，对妊娠期间PPD的风险进行分层，并确定最佳筛查时间。方法:共有214名妇女在怀孕期间和怀孕后分别使用爱丁堡产后抑郁量表(EPDS)进行了5次和3次抑郁症状的反复测试，EPDS可在本研究作者开发的基于网络的妊娠平台上访问。对于每次产前评估，计算曲线下面积(AUC)，敏感性，特异性和PPD的预测值。应用多变量逻辑回归分析来确定进一步的潜在预测因素，如年龄、教育程度、平等、关系质量和焦虑，以提高预测准确性。结果:对214例孕妇的数字化数据进行了分析。 The predictive accuracy of depressive symptoms 3 and 6 months postpartum was reasonable to good regarding the screening in the second (AUC=0.85) and third (AUC=0.75) trimester. The multivariate logistic regression analyses resulted in an excellent AUC of 0.93 at 3 months and a good AUC of 0.87 at 6 months postpartum. Conclusions: The best predictive accuracy for PPD has been shown for screening between the 24th and the 28th gestational week (GW) and seems to be beneficial for identifying women at risk. In combination with the aforementioned predictive factors, the discriminatory power improved, particularly at 3 months postpartum. Screening for depression during pregnancy, combined with the women’s personal risk profile, can be used as a starting point for developing a digital screening algorithm. Thereby, web-based assessment tools constitute feasible, efficient, and cost-effective approaches. Thus, they seem to be beneficial in detecting high-risk pregnancies in order to improve maternal and infant birth outcomes in the long term. %M 34890349 %R 10.2196/26665 %U https://mental.www.mybigtv.com/2021/12/e26665 %U https://doi.org/10.2196/26665 %U http://www.ncbi.nlm.nih.gov/pubmed/34890349