Using graph learning to understand adverse pregnancy outcomes and stress pathways
Autoři:
Octavio Mesner aff001; Alex Davis aff001; Elizabeth Casman aff001; Hyagriv Simhan aff003; Cosma Shalizi aff002; Lauren Keenan-Devlin aff004; Ann Borders aff004; Tamar Krishnamurti aff001
Působiště autorů:
Department of Engineering and Public Policy, Carnegie Mellon University, Pittsburgh, PA, United States of America
aff001; Department of Statistics and Data Science, Carnegie Mellon University, Pittsburgh, PA, United States of America
aff002; Magee-Women’s Research Institute, Pittsburgh, PA, United States of America
aff003; Northshore University Health System, Evanston, Illinois, United States of America
aff004; Department of General Internal Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States of America
aff005
Vyšlo v časopise:
PLoS ONE 14(9)
Kategorie:
Research Article
prolekare.web.journal.doi_sk:
https://doi.org/10.1371/journal.pone.0223319
Souhrn
To identify pathways between stress indicators and adverse pregnancy outcomes, we applied a nonparametric graph-learning algorithm, PC-KCI, to data from an observational prospective cohort study. The Measurement of Maternal Stress study (MOMS) followed 744 women with a singleton intrauterine pregnancy recruited between June 2013 and May 2015. Infant adverse pregnancy outcomes were prematurity (<37 weeks' gestation), infant days spent in hospital after birth, and being small for gestational age (percentile gestational weight at birth). Maternal adverse pregnancy outcomes were pre-eclampsia, gestational diabetes, and gestational hypertension. PC-KCI replicated well-established pathways, such as the relationship between gestational weeks and preterm premature rupture of membranes. PC-KCI also identified previously unobserved pathways to adverse pregnancy outcomes, including 1) a link between hair cortisol levels (at 12–21 weeks of pregnancy) and pre-eclampsia; 2) two pathways to preterm birth depending on race, with one linking Hispanic race, pre-gestational diabetes and gestational weeks, and a second pathway linking black race, hair cortisol, preeclampsia, and gestational weeks; and 3) a relationship between maternal childhood trauma, perceived social stress in adulthood, and low weight for gestational age. Our approach confirmed previous findings and identified previously unobserved pathways to adverse pregnancy outcomes. It presents a method for a global assessment of a clinical problem for further study of possible causal pathways.
Klíčová slova:
Pregnancy – Psychological stress – Infants – Preterm birth – Preeclampsia – Hypertensive disorders in pregnancy
Zdroje
1. Bleker LS, Roseboom TJ, Vrijkotte TG, Reynolds RM, de Rooij SR. Determinants of cortisol during pregnancy–the ABCD cohort. Psychoneuroendocrinology. 2017 Sep 1;83:172–81. doi: 10.1016/j.psyneuen.2017.05.026 28641158
2. Entringer S, Buss C, Wadhwa PD. Prenatal stress, development, health and disease risk: A psychobiological perspective– 2015 Curt Richter Award Paper. Psychoneuroendocrinology. 2015; 62: 366–375. doi: 10.1016/j.psyneuen.2015.08.019 26372770
3. Glynn LM, Wadhwa PD, Dunkel-Schetter C, Chicz-DeMet A, Sandman CA. When stress happens matters: effects of earthquake timing on stress responsivity in pregnancy. American journal of obstetrics and gynecology. 2001 Mar 1;184(4):637–42. doi: 10.1067/mob.2001.111066 11262465
4. Wadhwa PD, Entringer S, Buss C, Lu MC. The contribution of maternal stress to preterm birth: issues and considerations. Clinics in perinatology. 2011 Sep 1;38(3):351–84. doi: 10.1016/j.clp.2011.06.007 21890014
5. Wakeel F, Wisk LE, Gee R, Chao SM, Witt WP. The balance between stress and personal capital during pregnancy and the relationship with adverse obstetric outcomes: findings from the 2007 Los Angeles Mommy and Baby (LAMB) study. Archives of women's mental health. 2013 Dec 1;16(6):435–51. doi: 10.1007/s00737-013-0367-6 23812738
6. Dolle N, Savitz DA, Hertz-Picciotto I, Siega-Riz AM, McMahon MJ, Buekens P. Maternal stress and preterm birth. American journal of epidemiology. 2003 Jan 1;157(1):14–24. doi: 10.1093/aje/kwf176 12505886
7. Copper RL, Goldenberg RL, Das A, Elder N, Swain M, Norman G, et al. The preterm prediction study: Maternal stress is associated with spontaneous preterm birth at less than thirty-five weeks' gestation. American journal of obstetrics and gynecology. 1996 Nov 1;175(5):1286–92. doi: 10.1016/s0002-9378(96)70042-x 8942502
8. Szegda K, Bertone-Johnson ER, Pekow P, Powers S, Markenson G, Dole N, et al. Prenatal perceived stress and adverse birth outcomes among Puerto Rican women. Journal of Women's Health. 2018 May 1;27(5):699–708. doi: 10.1089/jwh.2016.6118 29215314
9. Kramer MS, Lydon J, Séguin L, Goulet L, Kahn SR, McNamara H, et al. Stress pathways to spontaneous preterm birth: the role of stressors, psychological distress, and stress hormones. American journal of epidemiology. 2009 Apr 10;169(11):1319–26. doi: 10.1093/aje/kwp061 19363098
10. Szegda K, Bertone-Johnson ER, Pekow P, Powers S, Markenson G, Dole N, Chasan-Taber L. Depression during pregnancy and adverse birth outcomes among predominantly Puerto Rican women. Maternal and child health journal. 2017 Apr 1;21(4):942–52. doi: 10.1007/s10995-016-2195-6 27995411
11. Glynn LM, Schetter CD, Hobel CJ, Sandman CA. Pattern of perceived stress and anxiety in pregnancy predicts preterm birth. Health Psychology. 2008 Jan;27(1):43. doi: 10.1037/0278-6133.27.1.43 18230013
12. Spirtes P, Glymour CN, Scheines R. Causation, prediction, and search. MIT press; 2000.
13. Zhang, K., Peters, J., Janzing, D., and Schölkopf, B. (2011a). “Kernel-based conditional independence test and application in causal discovery,” in Proceedings of the 27th Conference on Uncertainty in Artificial Intelligence (UAI 2011) (Barcelona).
14. Miller GE, Culhane J, Grobman W, Simhan H, Williamson DE, Adam EK, Buss C, Entringer S, Kim KY, Garcia-Espana JF, Keenan-Devlin L. Mothers’ childhood hardship forecasts adverse pregnancy outcomes: role of inflammatory, lifestyle, and psychosocial pathways. Brain, behavior, and immunity. 2017 Oct 1;65:11–9. doi: 10.1016/j.bbi.2017.04.018 28450221
15. Tibshirani RJ, Taylor J, Lockhart R, Tibshirani R. Exact post-selection inference for sequential regression procedures. Journal of the American Statistical Association. 2016 Apr 2;111(514):600–20
16. Rebelo F, Schluessel MM, Vaz JS, Franco-Sena AB, Pinto TJ, Bastos FI, Adegboye AR, Kac G. C-reactive protein and later preeclampsia: systematic review and meta-analysis taking into account the weight status. Journal of hypertension. 2013 Jan 1;31(1):16–26 doi: 10.1097/HJH.0b013e32835b0556 23188419
17. Ernst GD, de Jonge LL, Hofman A, Lindemans J, Russcher H, Steegers EA, et al. C-reactive protein levels in early pregnancy, fetal growth patterns, and the risk for neonatal complications: the Generation R Study. American journal of obstetrics and gynecology. 2011 Aug 1;205(2):132–e1. doi: 10.1016/j.ajog.2011.03.049 21575931
18. Felder JN, Baer RJ, Rand L, Jelliffe-Pawlowski LL, Prather AA. Sleep disorder diagnosis during pregnancy and risk of preterm birth. Obstetrics & Gynecology. 2017 Sep 1;130(3):573–81
19. Braveman PA, Heck K, Egerter S, Marchi KS, Dominguez TP, Cubbin C, et al. The role of socioeconomic factors in black–white disparities in preterm birth. American journal of public health. 2015 Apr;105(4):694–702. doi: 10.2105/AJPH.2014.302008 25211759
20. Mc Kinnon B, Yang S, Kramer MS, Bushnik T, Sheppard AJ, Kaufman JS. Comparison of black–white disparities in preterm birth between Canada and the United States. CMAJ. 2016 Jan 5;188(1):E19–26. doi: 10.1503/cmaj.150464 26553860
21. Ferguson KK, McElrath TF, Chen YH, Mukherjee B, Meeker JD. Longitudinal profiling of inflammatory cytokines and C‐reactive protein during uncomplicated and preterm pregnancy. American journal of reproductive immunology. 2014 Sep;72(3):326–36. doi: 10.1111/aji.12265 24807462
22. Rolnik DL, Wright D, Poon LC, O’gorman N, Syngelaki A, de Paco Matallana C, et al. Aspirin versus placebo in pregnancies at high risk for preterm preeclampsia. New England Journal of Medicine. 2017 Aug 17;377(7):613–22. doi: 10.1056/NEJMoa1704559 28657417
23. Meher S, Duley L, Hunter K, Askie L. Antiplatelet therapy before or after 16 weeks’ gestation for preventing preeclampsia: an individual participant data meta-analysis. American journal of obstetrics and gynecology. 2017 Feb 1;216(2):121–8. doi: 10.1016/j.ajog.2016.10.016 27810551
24. Roberge S, Demers S, Bujold E. Antiplatelet therapy before or after 16 weeks’ gestation for preventing preeclampsia. American Journal of Obstetrics & Gynecology. 2017 Jun 1;216(6):620–1.
Článok vyšiel v časopise
PLOS One
2019 Číslo 9
- Metamizol jako analgetikum první volby: kdy, pro koho, jak a proč?
- Nejasný stín na plicích – kazuistika
- Masturbační chování žen v ČR − dotazníková studie
- Úspěšná resuscitativní thorakotomie v přednemocniční neodkladné péči
- Fixní kombinace paracetamol/kodein nabízí synergické analgetické účinky
Najčítanejšie v tomto čísle
- Graviola (Annona muricata) attenuates behavioural alterations and testicular oxidative stress induced by streptozotocin in diabetic rats
- CH(II), a cerebroprotein hydrolysate, exhibits potential neuro-protective effect on Alzheimer’s disease
- Comparison between Aptima Assays (Hologic) and the Allplex STI Essential Assay (Seegene) for the diagnosis of Sexually transmitted infections
- Assessment of glucose-6-phosphate dehydrogenase activity using CareStart G6PD rapid diagnostic test and associated genetic variants in Plasmodium vivax malaria endemic setting in Mauritania