Nursing profoundly premature newborns with artificial placentae: a review

Cover Page

Cite item

Full Text

Open Access Open Access
Restricted Access Access granted
Restricted Access Subscription Access

Abstract

Neonatal mortality and morbidity are substantial issues affecting the maternal healthcare sector. Extremely premature infants, notably those born before the 28-week mark, experience significant morbidity and mortality rates during neonatal care. This is a result of developmental immaturity and iatrogenic injury. Several attempts have been made to develop a womb-like environment to mimic uteroplacental physiology, but limited success has been noted over the last decade. This review aims to summarize the current literature on improved techniques implemented in creating an artificial placenta, the principles of these procedures, and their limitations. Our findings indicate that implementing techniques that closely mimic uteroplacental pathophysiology is crucial in decreasing the excessive neonatal mortality and morbidity rates seen in extremely premature infants.

About the authors

Akinyemi Oyedele

I.M. Sechenov First Moscow State Medical University

Email: akinyo11@gmail.com
ORCID iD: 0000-0001-7429-6834

MD, resident of the 2nd year of study

Russian Federation, 119991, Moscow

Morakinyo Oyedele

I.M. Sechenov First Moscow State Medical University

Email: morakinyo.oyedele@hotmail.com
ORCID iD: 0000-0002-2093-4754

MD, resident of the 2nd year of study

Russian Federation, 119991, Moscow

Andrey V. Murashko

I.M. Sechenov First Moscow State Medical University

Author for correspondence.
Email: murashkoa@mail.ru
ORCID iD: 0000-0003-0663-2909
SPIN-code: 2841-9638

M.D., Dr. Sci. (Med.), professor

Russian Federation, 119991, Moscow

References

  1. Aubuchon M, Schulz LC, Schust DJ. Preeclampsia: animal models for a human cure. Proc Natl Acad Sci USA. 2011;108(4):1197−1198. doi: 10.1073/pnas.1018164108
  2. Bazer FW, Spencer TE, Thatcher WW. Growth and development of the ovine conceptus. J Anim Sci. 2012;90(1):159–170. doi: 10.2527/jas.2011-4180
  3. Blencowe H, Cousens S, Oestergaard MZ, et al. National, regional, and worldwide estimates of preterm birth rates in 2010 with time trends since 1990 for selected countries: a systematic analysis and implications. Lancet. 2012;379(9832):2162–2172. doi: 10.1016/S0140-6736(12)60820-4
  4. Bryner B, Gray B, Perkins E, et al. An extracorporeal artificial placenta supports extremely premature lambs for one week. J Pediatr Surg. 2015;50(1):44–49. doi: 10.1016/j.jpedsurg.2014.10.028
  5. De Bie FR, Davey MG, Larson AC, Deprest J, Flake AW. Artificial placenta and womb technology: past, current, and future challenges towards clinical translation. Prenat Diagn. 2021;41(1):145–158. doi: 10.1002/pd.5821
  6. Ely DM, Driscoll AK. Infant Mortality in the United States, 2017: Data From the Period Linked Birth/Infant Death File. Natl Vital Stat Rep. 2019;68(10):1+20.
  7. Fallon B, Mychaliska G. Development of an artificial placenta for support of premature infants: a narrative review of the history, recent milestones, and future innovation. Transl Pediatr. 2020;10(5):1470+1485. doi: 10.21037/tp-20-136
  8. Fell DB, Park AL, Sprague AE, et al. A new record linkage for assessing infant mortality rates in Ontario, Canada. Can J Public Health. 2020;111:278–285. doi: 10.17269/s41997-019-00265-6
  9. Jammalamadaka U, Tappa K. Recent Advances in Biomaterials for 3D Printing and Tissue Engineering. Journal of Functional Biomaterials. 2018;9(1):22. doi: 10.3390/jfb9010022
  10. Miura Y, Matsuda T, Funakubo A, et al. Novel modification of an artificial placenta: pumpless arteriovenous extracorporeal life support in a premature lamb model. Pediatr Res. 2012;72(5):490–494. doi: 10.1038/pr.2012.108
  11. Orendi K, Kivity V, Sammar M, et al. Placental and trophoblastic in vitro models to study preventive and therapeutic agents for preeclampsia. Placenta. 2011;32 Suppl.:S49−54. doi: 10.1016/j.placenta.2010.11.023
  12. Partridge EA, Davey MG, Hornick MA, Flake AW. An EX Trauterine environment for neonatal development: EXTENDING fetal physiology beyond the womb. Semin Fetal Neonatal Med. 2017;22(6):404–409. doi: 10.1016/j.siny.2017.04.006
  13. Reoma JL, Rojas A, Kim AC, et al. Development of an artificial placenta I: pumpless arterio-venous extracorporeal life support in a neonatal sheep model. J Pediatr Surg. 2009;44(1):53–59. doi: 10.1016/j.jpedsurg.2008.10.009
  14. Talge NM, Mudd LM, Sikorskii A, Basso O. United States birth weight reference corrected for implausible gestational age estimates. Pediatrics. 2014;133(5):844–853. doi: 10.1542/peds.2013-3285
  15. The World Bank. Mortality Rate, Infant (per 1,000 live births). 2019. Retrieved from https://data.worldbank.org/indicator/SP.DYN.IMRT.IN
  16. Tutar R, Çelebi-Saltik B. Modelling of Artificial 3D Human Placenta. Cells tissues organs. 2021;1–10. Advance online publication. doi: 10.1159/000511571
  17. Usuda H, Watanabe S, Miura Y, et al. Successful maintenance of key physiological parameters in preterm lambs treated with ex vivo uterine environment therapy for one week. Am J Obstet Gynecol. 2017;217(4):457.e1–457.e13. doi: 10.1016/j.ajog.2017.05.046
  18. Usuda H, Watanabe S, Saito M, et al. Successful use of an artificial placenta-based life support system to treat extremely preterm ovine fetuses compromised by intrauterine inflammation. Am J Obstet Gynecol. 2020;223(5):755.e1–755.e20. doi: 10.1016/j. ajog.2020.04.036
  19. Usuda H, Watanabe S, Saito M, et al. Successful use of an artificial placenta to support extremely preterm ovine fetuses at the border of viability. Am J Obstet Gynecol. 2019;221(1):69.e1–69.e17. doi: 10.1016/j.ajog.2019.03.001
  20. World Health Organization and Partners. Born too soon: The global action report on preterm birth. 2012. https://www.who.int/pmnch/media/news/2012/201204_borntoosoon-report.pdf

Supplementary files

Supplementary Files
Action
1. JATS XML

Copyright (c) 2021 Eco-Vector



Согласие на обработку персональных данных

 

Используя сайт https://journals.rcsi.science, я (далее – «Пользователь» или «Субъект персональных данных») даю согласие на обработку персональных данных на этом сайте (текст Согласия) и на обработку персональных данных с помощью сервиса «Яндекс.Метрика» (текст Согласия).