507: Use of allostatic load scoring to predict adverse pregnancy outcomes

2015 ◽  
Vol 212 (1) ◽  
pp. S254-S255
Author(s):  
M. Camille Hoffman ◽  
Sara Mazzoni ◽  
Amanda A. Allshouse ◽  
Jennifer Hyer ◽  
Nanette Santoro
F1000Research ◽  
2020 ◽  
Vol 9 ◽  
pp. 1222
Author(s):  
David M. Olson ◽  
Gerlinde A.S. Metz

The climate crisis is the existential threat of our times and for generations to come. This is no longer a threat but a reality affecting us, our children, and the generations that follow. Pregnant mothers, their fetuses, and their children are among those at greatest risk in every population and every jurisdiction. A timely consideration is the health of racialized groups who are particularly vulnerable owing to the confluence of several risk factors that are compounded by climate change. Included among these are Indigenous communities that are the most directly threatened by climate change. This review discusses the main health challenges faced by mothers, fathers, and their children during the climate crisis, focusing on mental health as a causal factor. Exploration of this topic includes the role of prenatal maternal and paternal stresses, allostatic load, and the effect of degradation of the environment and ecosystems on individuals. These will be examined in relation to adverse pregnancy outcomes and altered developmental trajectories of children. The climate crisis is a health threat multiplier that amplifies the health inequities of the most at-risk populations and individuals. It accelerates the increase in allostatic load of those at risk. The path of tragedy begins with an accumulating allostatic load that overwhelms both individual and socio-ecological resilience. This can lead to worse mental health including depression and anxiety and, in the case of pregnant women and their children, more adverse pregnancy outcomes and impaired developmental trajectories for their newborn children. We argue that there is an urgent need to develop new (or re-discover or re-purpose existing) tools that will predict communities and individuals who are experiencing the highest levels of climate-related hazards and intervene to reduce stress and increase resilience in pre-conceptual women and men, pregnant and post-partum women, and their young children.


2020 ◽  
Vol 26 ◽  
Author(s):  
Yang Zhang ◽  
Dandan Li ◽  
Heng Guo ◽  
Weina Wang ◽  
Xingang Li ◽  
...  

Background: Conflicting data exist regarding the influence of thiopurines exposure on adverse pregnancy outcomes in female patients with inflammatory bowel disease (IBD). Objective: The aim of this study was to provide an up-to-date and comprehensive assessment of the safety of thiopurines in pregnant IBD women. Methods: All relevant articles reporting pregnancy outcomes in women with IBD received thiopurines during pregnancy were identified from the databases (PubMed, Embase, Cochrane Library, and ClinicalTrials.gov) with the publication data up to April 2020. Data of included studies were extracted to calculate the relative risk (RR) of multiple pregnancy outcomes: congenital malformations, low birth weight (LBW), preterm birth, small for gestational age (SGA), and spontaneous abortion. The meta-analysis was performed using the random-effects model. Results: Eight studies matched with the inclusion criteria and a total of 1201 pregnant IBD women who used thiopurines and 4189 controls comprised of women with IBD received drugs other than thiopurines during pregnancy were included. Statistical analysis results demonstrated that the risk of preterm birth was significantly increased in the thiopurine-exposed group when compared to IBD controls (RR, 1.34; 95% CI, 1.00-1.79; p=0.049; I 2 =41%), while no statistically significant difference was observed in the incidence of other adverse pregnancy outcomes. Conclusion: Thiopurines’ use in women with IBD during pregnancy is not associated with congenital malformations, LBW, SGA, or spontaneous abortion, but appears to have an association with an increased risk of preterm birth.


Author(s):  
Shamil D. Cooray ◽  
Jacqueline A. Boyle ◽  
Georgia Soldatos ◽  
Shakila Thangaratinam ◽  
Helena J. Teede

AbstractGestational diabetes mellitus (GDM) is common and is associated with an increased risk of adverse pregnancy outcomes. However, the prevailing one-size-fits-all approach that treats all women with GDM as having equivalent risk needs revision, given the clinical heterogeneity of GDM, the limitations of a population-based approach to risk, and the need to move beyond a glucocentric focus to address other intersecting risk factors. To address these challenges, we propose using a clinical prediction model for adverse pregnancy outcomes to guide risk-stratified approaches to treatment tailored to the individual needs of women with GDM. This will allow preventative and therapeutic interventions to be delivered to those who will maximally benefit, sparing expense, and harm for those at a lower risk.


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