Marie-paule V. Austin

Description:Prenatal stress alters fetal programming, potentially predisposing the ensuing offspring to long-term adverse health outcomes. To gain insight into environmental influences on fetal development, this QF2011 study evaluated the urinary metabolomes of 4-year-old children (n = 89) who were exposed to the 2011 Queensland flood in utero. Proton nuclear magnetic resonance spectroscopy was used to analyze urinary metabolic fingerprints based on maternal levels of objective hardship and subjective distress resulting from the natural disaster. In both males and females, differences were observed between high and low levels of maternal objective hardship and maternal subjective distress groups. Greater prenatal stress exposure was associated with alterations in metabolites associated with protein synthesis, energy metabolism, and carbohydrate metabolism. These alterations suggest profound changes in oxidative and antioxidative pathways that may indicate a higher risk for chronic non-communicable diseases such obesity, insulin resistance, and diabetes, as well as mental illnesses, including depression and schizophrenia. Thus, prenatal stress-associated metabolic biomarkers may provide early predictors of lifetime health trajectories, and potentially serve as prognostic markers for therapeutic strategies in mitigating adverse health outcomes.

Description:Background: The Perinatal Integrated Psychosocial Assessment (PIPA) tool screens for anxiety, depression, and psychosocial factors in pregnancy. We aimed to assess the association between PIPA-determined psychosocial risk and obstetric and neonatal outcomes. Methods: Cohort study of all pregnant women who gave birth at ≥20 weeks of gestation in 2017-2019 at a tertiary maternity hospital in, Sydney, Australia. Women completed PIPA at their first antenatal visit and were assigned a PIPA risk category. At-risk women were reviewed and referred for support. The association between PIPA risk category and obstetric and neonatal outcomes was evaluated using multivariable logistic regression adjusting for sociodemographic and pregnancy factors. Results: In all, 5969 women completed PIPA; 71.4% were assessed no/low risk, 17.5% medium risk, and 11.1% medium-high/high risk. Compared with no/low-risk women, medium-high/high-risk women were more likely to remain in hospital for >72 hours (aOR 1.47 [95% CI 1.33-1.64]); to not be breastfeeding at discharge (aOR 1.77 [95% CI 1.20-2.61]); to have their infants experience birth complications (aOR 1.24 [95% CI 1.03-1.50]); and to be admitted to the NICU (aOR 1.63 [95% CI 1.26-2.11]). There was a modest increase in odds of cesarean birth (aOR 1.12 [95% CI 1.00-1.27]), and no association with preterm birth or low birthweight. The risk of adverse outcomes disappeared for medium-high/high-risk women referred for support. Conclusions: The PIPA tool identified one in 10 women at high psychosocial risk with increased risk of adverse obstetric and neonatal outcomes. Adverse outcomes were attenuated for high-risk women who were referred for extra support, suggesting that psychosocial review and referral for high-risk women may reduce the risk of adverse obstetric and neonatal outcomes.

Description:Evidence regarding the accuracy of existing anxiety screeners used in pregnancy is limited. This study compares the psychometric characteristics of the Generalized Anxiety Disorder 2- and 7-item Scales (GAD-2 and GAD-7), the anxiety subscale of the Edinburgh Postnatal Depression Scale (EPDS-3A) and the two anxiety items of the Antenatal Risk Questionnaire (ANRQ-2A). Nine hundred fifty-four women completed the screening measures and anxiety modules of a diagnostic reference standard (SAGE-SR) in the third trimester. Test performance characteristics of each measure was assessed using Receiver Operator Characteristic (ROC) analysis. We applied four previously recommended criteria to ascertain the value of each measure for widespread clinical use: area under the curve (AUC ≥ 0.8, Youden's index ≥ 0.5, negative predictive value (NPV) ≥ 0.8 and positive likelihood ratio (LR +) ≥ 4.0). Prevalence for any SAGE-SR anxiety disorder was 3%. All measures yielded an acceptable AUC of ≥ 0.8, Youden's index of ≥ 0.5 and NPV of ≥ 0.8. Only the EPDS-3A, at a cut-point ≥ 5, also achieved a LR + of ≥ 4.0 (4.35) but at this cut-point sensitivity was less than 0.75. The ANRQ-2A, at its optimal cut-point of ≥ 6, was the only measure to additionally attain both a sensitivity and specificity of ≥ .75. This study expands the evidence base for brief anxiety screening measures in the maternity setting and provides empirical support for the use of the EPDS-3A and ANRQ-2A in routine screening programmes. Studies assessing the performance of these measures in samples with higher disease prevalence and broader socio-economic status are warranted.

Description:Objective: Although perinatal universal depression and psychosocial assessment is recommended in Australia, its clinical performance and cost-effectiveness remain uncertain. Objective: To compare the performance and cost-effectiveness of two models of psychosocial assessment: Usual-Care and Perinatal Integrated Psychosocial Assessment (PIPA). Methods: Women attending their first antenatal visit were prospectively recruited to this cohort study. Endorsement of significant depressive symptoms or psychosocial risk generated an 'at-risk' flag identifying those needing referral to the Triage Committee. Based on its detailed algorithm, a higher threshold of risk was required to trigger the 'at-risk' flag for PIPA than for Usual-Care. Each model's performance was evaluated using the midwife's agreement with the 'at-risk' flag as the reference standard. Cost-effectiveness was limited to the identification of True Positive and False Positive cases. Staffing costs associated with administering each screening model were quantified using a bottom-up time-in-motion approach. Results: Both models performed well at identifying 'at-risk' women (sensitivity: Usual-Care 0.82 versus PIPA 0.78). However, the PIPA model was more effective at eliminating False Positives and correctly identifying 'at-risk' women (Positive Predictive Value: PIPA 0.69 versus Usual Care 0.41). PIPA was associated with small incremental savings for both True Positives detected and False Positives averted. Conclusions: Overall PIPA performed better than Usual-Care as a psychosocial screening model and was a cost-saving and relatively effective approach for detecting True Positives and averting False Positives. These initial findings warrant evaluation of longer-term costs and outcomes of women identified by the models as 'at-risk' and 'not at-risk' of perinatal psychosocial morbidity.

Description:Objective: To report rates of Medicare Benefits Schedule (MBS) mental health item use among a sample of women who gave birth in NSW (2009-2015) and examine if the SAFE START policy increased use of these items among perinatal women. Methods: Data was drawn from women participating in the Australian Longitudinal Study on Women's Health 1973-1978 cohort, linked to data from the NSW Perinatal Data Collection and MBS. Results: Use of Medicare-subsidised mental health items increased 2.7-fold among perinatal women (n=1,453) between 2009 and 2015 (4.1% versus 11.0% respectively), compared to a 1.3-fold increase among non-perinatal women (n=1,800, 6.3% versus 8.4% respectively). However, the increased use of MBS mental health items among perinatal women was not observed to be impacted by the SAFE START policy, after accounting for time trends. Conclusions: There was a substantial increase in the use of MBS mental health items among women in NSW between 2009 and 2015, with a more pronounced increase among women who had given birth compared to those who had not. Implications for public health: This study provides important information about changes in mental health service use during a time of significant investment in perinatal mental health, and demonstrates the value of longitudinal survey data linked with administrative health data to evaluate the impact of health policy.