The international postpartum depression: action towards causes and treatment (PACT) consortium

Perinatal Trajectories of Maternal Depressive Symptoms in Prospective, Community-Based Cohorts Across 3 Continents

Importance

Depressive symptoms during pregnancy influence the development and health of the offspring, underscoring the need for timely intervention. However, the course of depressive symptoms across the perinatal period remains unclear, thus complicating screening and referral guidelines.

Objective

To examine the course and stability of depressive symptoms across the perinatal period in multiple, ethnically diverse independent observational cohorts.

Design, Setting, and Participants

This cohort study included self-reported depressive symptoms at multiple time points from 7 prospective cohorts spanning 3 continents (United Kingdom: Avon Longitudinal Study of Parents and Children from 1991 to 1995; Canada: Maternal Adversity, Vulnerability and Neurodevelopment from 2003 to 2007; Montreal Antenatal Well-being Study from 2019 to 2022; Alberta Pregnancy Outcomes and Nutrition from 2009 to 2014; and Singapore: Growing Up in Singapore Toward Healthy Outcomes from 2009 to 2013; Singapore Preconception Study of Long-Term Maternal and Child Outcomes from 2015 to 2019; and Mapping Antenatal Maternal Stress from 2019 to 2022). Participants were recruited either during preconception or pregnancy and observed into the postnatal period. All data from each cohort were analyzed from July 2022 to April 2023.

Main Outcomes and Measures

Self-reported depressive symptoms from pregnancy to 2 years following childbirth using either the Edinburgh Postnatal Depression Scale or the Center for Epidemiological Studies Depression were analyzed independently within each cohort using item response theory (IRT) techniques. K-means clustering was used to identify groups of participants with similar trajectories.

Results

A total of 11 563 pregnant women (mean [SD] age, 29 [5] years; 569 [4.9%] East Asian women; 304 [2.6%] Southeast Asian women; 10 133 [87.6%] White women) self-reported depressive symptoms from pregnancy to 2 years following childbirth. Analytic methods from Item Response Theory identified 3 groups of mothers based on depressive symptoms: low, mild, and high levels in each of the 7 cohorts. Mothers within and across all cohorts had stable trajectories of maternal depressive symptoms from pregnancy onwards. Mothers with clinical levels of depressive symptoms likewise showed stable trajectories from pregnancy into the postnatal period.

Conclusions and Relevance

In this study, trajectories of depressive symptoms remained stable from pregnancy across the perinatal period, a finding that conflicts with a continuing emphasis on postpartum or postnatal onset of depression that persists in some health policy guidelines. Interventions and public health initiatives should focus on reducing depressive symptoms during pregnancy in addition to following birth.

Postpartum depression: Addressing misinformation and harmful attitudes

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Genetic liability to posttraumatic stress disorder and its association with postpartum depression

BACKGROUND

Childbirth may be a traumatic experience and vulnerability to posttraumatic stress disorder (PTSD) may increase the risk of postpartum depression (PPD). We investigated whether genetic vulnerability to PTSD as measured by polygenic score (PGS) increases the risk of PPD and whether a predisposition to PTSD in PPD cases exceeds that of major depressive disorder (MDD) outside the postpartum period.

METHODS

This case-control study included participants from the iPSYCH2015, a case-cohort of all singletons born in Denmark between 1981 and 2008. Restricting to women born between 1981 and 1997 and excluding women with a first diagnosis other than depression (N = 22 613), 333 were identified with PPD. For each PPD case, 999 representing the background population and 993 with MDD outside the postpartum were matched by calendar year at birth, cohort selection, and age. PTSD PGS was calculated from summary statistics from the Psychiatric Genomics Consortium with LDpred2-auto. Odds ratios (ORs) were estimated using conditional logistic regression adjusted for parental psychiatric history and country of origin, PGS for MDD and age at first birth, and the first 10 principal components.

RESULTS

The PTSD PGS was significantly associated with PPD (OR 1.42, 95% CI 1.20-1.68 per standard deviation increase in PTSD PGS) compared to healthy female controls. Genetic PTSD vulnerability in PPD cases did not exceed that of matched female depression cases outside the postpartum period (OR 1.10, 95% CI 0.94-1.30 per standard deviation increase).

CONCLUSIONS

Genetic vulnerability to PTSD increased the risk of PPD but did not differ between PPD cases and women with depression at other times.

Risk Factors for Postpartum Depression Based on Genetic and Epigenetic Interactions

Postpartum depression (PPD) is a serious mood disorder that tends to occur after the delivery, which may bring lifelong consequences to women and their families in terms of family relationships, social relationships, and mental health. Currently, various risk factors including environmental factors and genetic factors that may induce postpartum depression have been extensively studied. In this review, we suggest that postpartum women's susceptibility to postpartum depression may be the result of the interaction between the genes associated with postpartum depression as well as the interaction between genetic and environmental factors. We reviewed the genes that have been studied in postpartum depression, including genes related to the synthesis, metabolism, and transport of monoamine neurotransmitters, key molecules of the HPA axis, and the kynurenine pathway. These studies have found more or less gene-gene and gene-environment interactions, so we will discuss these issues in more detail. However, so far, the conclusions of these risk factors, especially genetic factors, are not completely consistent in the occurrence and exacerbation of symptoms in postpartum depression, and it is not clear how these risk factors specifically participate in the pathological mechanism of the disease and play a role. We conclude that the role of genetic polymorphisms, including genetic and epigenetic processes, in the occurrence and development of postpartum depression, is complex and ambiguous. We also note that interactions between multiple candidate genes and the environment have been suggested as causes of depression, suggesting that more definitive research is needed to understand the heritability and susceptibility of PPD. Overall, our work supports the hypothesis that postpartum depression is more likely to be caused by a combination of multiple genetic and environmental factors than by a single genetic or environmental influence.

Postpartum Psychosis: The Role of Women's Health Care Providers and the Health Care System

Importance

The postpartum period is a time of high risk for serious psychiatric symptoms and hospitalization. Postpartum psychosis (PPP) is the most severe disorder that emerges during this time, with significant and wide-ranging consequences that can include suicide and infanticide.

Evidence Acquisition

A PubMed, MEDLINE, and PsycINFO search was completed for English-language publications about PPP, including subtopics (eg, infanticide, maternal suicide). Citations in these articles were also reviewed for relevant references.

Results

Although it is clear that the triggering event for PPP is childbirth, the processes by which this occurs are not fully understood, which is a critical need for being able to predict, prevent, and manage PPP. There are risk factors that contribute to PPP, and specific groups of women may be at increased risk (eg, women with bipolar disorder). Many questions and challenges remain related to the phenomenology, nosology, prevention, and treatment of PPP. However, there are changes that women's health care providers and systems can take to improve the care of women at risk of and experiencing PPP.

Results

Of the 1382 articles reviewed, 8 met eligibility criteria, representing 6 distinct cohorts and 726 subjects. Synthetic slings available for review were either tension-free vaginal tape (TVT) or minisling. The vast majority of studies demonstrated similar short- and long-term success rates of AFS and SS procedures utilizing a range of outcome measures. Both AFS and TVT sling had low recurrence rates in short- and long-term follow-up. However, AFS had significantly longer operative time, and longer hospital stay. Bladder perforation, on the other hand, occurred more commonly in TVT sling. Health-related quality-of-life scores, including sexual function, were similar between groups.

Conclusions and Relevance

Postpartum psychosis is a rare but serious condition. However, recovery is possible. Women's health care providers and systems can improve the care by better understanding the needs of women and families, offering patient-centered discussions and options for care, particularly those that promote recovery, minimize risk, and limit the interruption of the maternal-infant bond. Improving the prevention and treatment of PPP can have a broad impact for women, children, and families.

The PPD-ACT app in Canada: feasibility and a latent class analysis of participants with postpartum depression recruited to a psychiatric genetics study using a mobile application

BACKGROUND

Postpartum depression (PPD) and postpartum psychosis (PPP) are linked to negative consequences for women and families. Virtual applications present a solution to the challenge of recruiting large samples for genetic PPD/PPP research. This study aimed to evaluate the feasibility of a protocol for enrolling Canadian women with PPD and PPP to a large international psychiatric genetics study using a mobile application (PPD-ACT), and identify clinically distinct subtypes of PPD in the recruited sample.

METHODS

From April 2017-June 2019, Canadian women provided phenotypic data through the PPD-ACT app. Requests for a genetic sample were made from those with a current or past PPD episode based on an Edinburgh Postnatal Depression Scale (EPDS) score > 12 with onset in pregnancy or 0-3 months postpartum, and from those self-reporting lifetime PPP. Latent class analysis (LCA) was used to identify clinically distinct PPD subgroups based on participant responses to the EPDS scale.

RESULTS

We identified 797 PPD cases, 404 of whom submitted DNA. There were 109 PPP cases, with 66 submitting DNA. PPD cases (86.7% White, mean 4.7 +/- 7.0 years since their episode) came from across Canadian provinces/territories. LCA identified two PPD classes clinically distinct by symptom severity: [1] moderate-severity (mean EPDS = 18.5+/- 2.5; 8.6% with suicidality), and [2] severe (mean EPDS = 24.5+/- 2.1; 52.8% with suicidality).

CONCLUSIONS

A mobile application rapidly collected data from individuals with moderate and severe symptoms of PPD, an advantage for genetics where specificity is optimal, as well as from women with a history of PPP, supporting future work using this approach.

Understanding the genetics of peripartum depression: Research challenges, strategies, and opportunities

Peripartum depression (PD) is a common mood disorder associated with negative outcomes for mother and child. PD is an understudied disorder in psychiatric genetics, and progress characterizing its genetic architecture has been limited by a lack of disorder-specific research, heterogeneous and evolving phenotypic definitions, inadequate representation of global populations, low-powered studies, and insufficient data amenable to large meta-analyses. The increasing availability of large-scale, population-level efforts, like biobanks, have the potential to accelerate scientific discovery and translational research by leveraging clinical, molecular, and self-report data from hundreds of thousands of individuals. Although these efforts will not fully equip researchers to confront every challenge posed by systemic issues in data collection, such as the reliance on minimal phenotyping strategies, the field is in a position to learn from other successful psychiatric genetic investigations. This review summarizes the current state of PD genetics research and highlights research challenges, including the impact of phenotype depth, measurement, and definition on the replicability and interpretability of genomic research. Recommendations for advancing health equity and improving the collection, analysis, discussion, and reporting of measures for PD research are provided.

Risk factor profiles for depression following childbirth or a chronic disease diagnosis: case-control study

BACKGROUND

Progress towards understanding the aetiology of major depression is compromised by its clinical heterogeneity. The variety of contexts underlying the development of a major depressive episode may contribute to such heterogeneity.

AIMS

To compare risk factor profiles for three subgroups of major depression according to episode context.

METHOD

Using self-report questionnaires and administrative records from the UK Biobank, we characterised three contextual subgroups of major depression: postpartum depression (3581 cases), depression following diagnosis of a chronic disease (409 cases) and a more typical (named heterogeneous) major depression phenotype excluding the two other contexts (34 699 cases). Controls with the same exposure were also defined. We tested each subgroup for association with the polygenic risk scores (PRS) for major depression and with other risk factors previously associated with major depression (bipolar disorder PRS, neuroticism, reported trauma in childhood and adulthood, socioeconomic status, family history of depression, education).

RESULTS

Major depression PRS was associated with all subgroups, but postpartum depression cases had higher PRS than heterogeneous major depression cases (OR = 1.06, 95% CI 1.02-1.10). Relative to heterogeneous depression, postpartum depression was more weakly associated with adulthood trauma and neuroticism. Depression following diagnosis of a chronic disease had weaker association with neuroticism and reported trauma in adulthood and childhood relative to heterogeneous depression.

CONCLUSIONS

The observed differences in risk factor profiles according to the context of a major depressive episode help provide insight into the heterogeneity of depression. Future studies dissecting such heterogeneity could help reveal more refined aetiological insights.

Spitting on my sources: Depression, DNA, and the ambivalent historian

While writing a book on the history of postpartum depression in the United States, I became interested in an ongoing study about possible genetic markers of postpartum mental illness. I participated in the first step, an online survey. When I qualified for the next step, saliva collection, I was torn over whether or not to continue. Making this decision required reflecting on some overlapping issues: gender, medicalization, genetic research, and the political functions of DNA donation. In this perspectives essay, I explore tensions around situating myself in my historical research project.

Paroxetine combined with traditional chinese medicine prescriptions in the treatment of postpartum depression: A systematic review of randomized controlled trials

BACKGROUND

Postpartum depression is a common mental disease in obstetric puerperium. Its etiology is not completely clear, and its clinical manifestations are complex. It has serious adverse effects on the body and mind of mothers and infants. Treatment should also follow the principle of individualization. Preliminary studies have shown that traditional chinese medicine prescriptions combined with paroxetine is effective in treating postpartum depression. In order to better determine the therapeutic effect, further exploration was carried out.

HYPOTHESIS

Does the study better evaluate the therapeutic effect and provide data support for clinical promotion?

STUDY DESIGN

The search comes from using the following electronic databases established until January 2022.

STUDY RESULTS

The meta analysis results show that paroxetine combined with traditional chinese medicine prescriptions can reduce the Hamilton Depression Scale (HAMD) score [WMD = -7.35, 95 % CI (-10.84, -3.87), P＜0.001] and Edinburgh Postpartum Depression Scale (EPDS) score [WMD = -3.24, 95 % CI (-5.96, -0.53), P < 0.001].And better than paroxetine treatment alone in terms of improving clinical efficacy [RR = 1.22, 95 % CI (1.16, 1.30), P < 0.001].

CONCLUSIONS

Based on the combination of paroxetine and traditional chinese medicine prescriptions in the treatment of postpartum depression, there is a certain clinical effect, and a strong research design and a certain number of RCTs are required at the same time. Future research should clarify the specific composition and composition of traditional Chinese medicine prescriptions.

Effect of mode of administration on Edinburgh Postnatal Depression Scale in the South Indian population: A comparative study on self-administered and interviewer-administered scores

BACKGROUND

Edinburgh Postnatal Depression Scale (EPDS) is a validated screening tool widely used to assess perinatal depression (PND). However, due to stigma associated with PND, respondents could answer sensitive questions differently depending on the mode of administration, especially in culturally and linguistically diverse country like India. The present study explored longitudinal differences in EPDS scores between self-administered and interviewer-administered modes.

METHODS

177 women from rural South India were administered EPDS, self-administration followed by interviewer-administered for four visits, twice each during prenatal and postnatal visits. EPDS scores were compared between the two modes descriptively, graphically and by repeated mixed measure models. Classification of antenatal depression (AD), postnatal depression (PD) and PND based on the two modes were compared by McNemar Chi-square test. Clinical and psychosocial characteristics were examined to identify factors associated with differences in the scoring modes. Concordance rates and Goodman Kruskal's Gamma coefficients were measured for individual EPDS items.

RESULTS

Longitudinal EPDS scores and rates of AD, PD and PND were significantly higher in self-administered mode. Recent adverse life events were the only factor observed to be significantly associated with the differences between the two modes. Rank correlation and concordance rates suggested stronger association for EPDS items relating to anhedonia subscale and moderate/weaker association for EPDS items relating to anxiety/depression subscales.

CONCLUSION

Our study findings suggest that the effect of mode of administration should be taken into account while using PND screening tools such as EPDS, especially in countries such as India with higher levels of illiteracy.

Estimation of postpartum depression risk from electronic health records using machine learning

BACKGROUND

Postpartum depression is a widespread disorder, adversely affecting the well-being of mothers and their newborns. We aim to utilize machine learning for predicting risk of postpartum depression (PPD) using primary care electronic health records (EHR) data, and to evaluate the potential value of EHR-based prediction in improving the accuracy of PPD screening and in early identification of women at risk.

METHODS

We analyzed EHR data of 266,544 women from the UK who gave first live birth between 2000 and 2017. We extracted a multitude of socio-demographic and medical variables and constructed a machine learning model that predicts the risk of PPD during the year following childbirth. We evaluated the model's performance using multiple validation methodologies and measured its accuracy as a stand-alone tool and as an adjunct to the standard questionnaire-based screening by Edinburgh postnatal depression scale (EPDS).

RESULTS

The prevalence of PPD in the analyzed cohort was 13.4%. Combing EHR-based prediction with EPDS score increased the area under the receiver operator characteristics curve (AUC) from 0.805 to 0.844 and the sensitivity from 0.72 to 0.76, at specificity of 0.80. The AUC of the EHR-based prediction model alone varied from 0.72 to 0.74 and decreased by only 0.01-0.02 when applied as early as before the beginning of pregnancy.

CONCLUSIONS

PPD risk prediction using EHR data may provide a complementary quantitative and objective tool for PPD screening, allowing earlier (pre-pregnancy) and more accurate identification of women at risk, timely interventions and potentially improved outcomes for the mother and child.

Neurobiology of maternal mental illness

This chapter provides an overview of current research discoveries beginning to uncover the neurobiology of maternal mental illness. Results are described according to standard diagnostic categories (specifically, perinatal depression, perinatal anxiety and OCD, postpartum psychosis and bipolar disorder, and trauma and posttraumatic stress disorder), yet we aim to put this approach in context with the introduction of a classification model for psychiatric research, the research domain criteria, gaining traction in basic and clinical translational fields. We first review a new area of study, the neuroplasticity of the pregnant and postpartum brain, as work here has relevance for understanding the pathophysiology of mental disorders and may provide clues to changes in brain functioning that are related to compromised parenting in the context of postpartum depression. We next provide background information on neuroendocrine and immune changes during pregnancy and, to a lesser extent, the postpartum period, as alterations in these systems are significantly implicated in underlying neurobiology of mental illness for peripartum women. Our discussion of the major mental illnesses for pregnant and postpartum women includes neuroendocrine changes, neuroinflammation, and neurotransmitter alterations, as well as circuit dysfunction. Overall, remarkable progress has been made in identifying variations in neurobiology (and related systems) involved in maternal mental illness; yet, it is clear that, as classified with standard diagnostic systems, these are heterogeneous disorders and there is individual variability in the alterations in neurobiology for the same illness.