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缓解还是持续?一种用于识别产后有长期抑郁症状风险女性的预测工具。

Remission or Persistence? A Prediction Tool to Identify Women at Risk for Long-Term Depressive Symptoms Postpartum.

作者信息

Gidén Karin, Duque Björvang Richelle, White Richard Aubrey, Vinnerljung Lisa, Iliadis Stavros I, Skalkidou Alkistis, Fransson Emma

机构信息

Department of Women's and Children's Health, Uppsala University 751 85, Uppsala, Sweden.

Department of Method Development and Analytics, Norwegian Institute of Public Health, Oslo, Norway.

出版信息

Depress Anxiety. 2024 Aug 30;2024:7734542. doi: 10.1155/2024/7734542. eCollection 2024.

Abstract

BACKGROUND

Peripartum depression is a common complication with potential long-term adverse effects on the woman and her family. Approximately 30%-50% of newly delivered women experience prolonged depressive symptoms at 6-12 months postpartum. Early detection may facilitate preventive and treatment interventions.

AIM

To investigate correlates for and create a tool for predicting long-term symptomatology in women experiencing depressive symptoms at 6 weeks postpartum.

MATERIALS AND METHODS

Data from the Biology, Affect, Stress, Imaging, and Cognition study was used, to identify women who scored high (≥12) on the Edinburgh Postnatal Depression Scale (EPDS) at 6 weeks postpartum ( = 697). Further, we collected data from medical records and included 40 variables based on earlier studies and clinical experience. A total of 654 women were included. Elastic net linear regression analysis was performed to identify predictors of continued symptoms at 6 months postpartum. An equation predicting the EPDS score at 6 months postpartum based on weighted variables was developed.

RESULTS

High education level and sleep for more than 6 hr per night in pregnancy week 17 were protective factors. Parity, pregnancy complications, stressful events, attention deficit hyperactivity disorder/attention deficit disorder, history of depression, depressive symptoms, and anxiety during pregnancy were predictive factors of prolonged depressive symptoms. A prediction tool with area under curve 0.73 and positive predictive value of 79%-83% depending on chosen EPDS cutoff was developed for clinical use.

CONCLUSIONS

Our prediction tool offers a method to identify women at risk for persisting depressive symptoms postnatally, based on their significant depressive symptoms during the first weeks after delivery. Screening in order to identify these women can already start in the antenatal setting.

摘要

背景

围产期抑郁症是一种常见并发症,对女性及其家庭可能产生长期不良影响。约30%-50%的新产妇在产后6-12个月会出现持续的抑郁症状。早期发现有助于进行预防和治疗干预。

目的

调查产后6周出现抑郁症状的女性长期症状的相关因素,并创建一个预测工具。

材料与方法

使用来自生物学、情感、压力、成像和认知研究的数据,以识别产后6周爱丁堡产后抑郁量表(EPDS)得分高(≥12)的女性(n=697)。此外,我们从病历中收集数据,并根据早期研究和临床经验纳入了40个变量。共纳入654名女性。进行弹性网线性回归分析,以确定产后6个月持续症状的预测因素。基于加权变量建立了一个预测产后6个月EPDS得分的方程。

结果

高学历和妊娠第17周时每晚睡眠超过6小时是保护因素。产次、妊娠并发症、应激事件、注意力缺陷多动障碍/注意力缺陷障碍、抑郁病史、妊娠期间的抑郁症状和焦虑是抑郁症状持续时间延长的预测因素。开发了一种预测工具,其曲线下面积为0.73,根据所选的EPDS临界值,阳性预测值为79%-83%,可供临床使用。

结论

我们的预测工具提供了一种方法,可根据产后头几周出现的显著抑郁症状,识别产后有持续抑郁症状风险的女性。为识别这些女性而进行的筛查可在产前阶段就开始。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f42/11918868/123199bdaa2b/DA2024-7734542.001.jpg

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