Pregestational and gestational diabetes mellitus as risk factors for predicting the development of congenital anomalies in newborns

封面

如何引用文章

全文:

开放存取 开放存取
受限制的访问 ##reader.subscriptionAccessGranted##
受限制的访问 订阅或者付费存取

详细

Objective: This study aimed to estimate the influence of maternal pregestational and gestational diabetes mellitus on the risk of congenital anomalies in newborns.

Materials and methods: We conducted a cohort study using data from the Murmansk and Arkhangelsk County birth registries, which contain information on the health of pregnant women and neonatal diaseses in newborns of 134,884 pregnancies.

Results: From 2006 to 2017, 4862 newborns with congenital anomalies were identified, resulting in a prevalence of 36.2 per 1,000 births. Pregnant women with pregestational diabetes mellitus had a higher risk of giving birth to babies with anomalies of the eye, ear, face, and neck, circulatory system, and other congenital anomalies (Q80-Q89), including multiple anomalies. Pregnant women with gestational diabetes mellitus had a higher risk of having children with respiratory system anomalies.

Conclusion: Diabetes mellitus in women increases the risk of congenital anomalies in their children. Prognostic models developed to determine the risk of congenital anomalies should include information regarding the presence of maternal diabetes.

全文:

受限制的访问

作者简介

Vitaly Postoev

Northern State Medical University, Ministry of Health of the Russian Federation

编辑信件的主要联系方式.
Email: ispha@nsmu.ru
ORCID iD: 0000-0003-4982-4169

Cand. Sci. (Med), Ph.D., Acting Head of the Department of Methodology of Scientific Research, Head of the Arkhangelsk International School of Public Health Northern State Medical University

俄罗斯联邦, 163069, Arkhangelsk, Troitsky Ave., 51

Alena Telkova

Northern State Medical University, Ministry of Health of the Russian Federation

Email: ispha@nsmu.ru
ORCID iD: 0009-0002-1472-0546
俄罗斯联邦, 163069, Arkhangelsk, Troitsky Ave., 51

Polinа Maevskaya

Northern State Medical University, Ministry of Health of the Russian Federation

Email: ispha@nsmu.ru
ORCID iD: 0009-0004-4486-6225
俄罗斯联邦, 163069, Arkhangelsk, Troitsky Ave., 51

Anna Postoeva

Northern State Medical University, Ministry of Health of the Russian Federation

Email: ispha@nsmu.ru
ORCID iD: 0000-0003-3749-0173

Cand. Sci. (Med),Associate Professor at the Department of Hospital Therapy and Endocrinology

俄罗斯联邦, 163069, Arkhangelsk, Troitsky Ave., 51

Anna Usynina

Northern State Medical University, Ministry of Health of the Russian Federation

Email: perinat@mail.ru
ORCID iD: 0000-0002-5346-3047

Dr. Med. Sci., Ph.D., Head of the Department of Neonatology and Perinatology

 

俄罗斯联邦, 163069, Arkhangelsk, Troitsky Ave., 51

Andrej Grjibovski

Northern State Medical University, Ministry of Health of the Russian Federation; Northern (Arctic) Federal University named after M.V. Lomonosov

Email: a.grjibovski@yandex.ru
ORCID iD: 0000-0002-5464-0498

MD, Head of the Division for Research and Innovations, Chief researcher at the Arctic biomonitoring laboratory Northern (Arctic) Federal University

俄罗斯联邦, 163069, Arkhangelsk, Troitsky Ave., 51; 163001, Arkhangelsk, 17 Severnaya Dvina Emb.

参考

  1. WHO. Congenital amonalies. Fact sheet № 370. http://www.who.int/mediacentre/factsheets/fs370/en/ (assesed: 09.04.2023).
  2. WHO, CDC, ICBDSR. Birth defects surveillance: A manual for programme managers. 2014. 115 p.
  3. Kirby R.S., Browne M.L. Birth defects surveillance: epidemiology, health services research, public health, and prevention. Birth Defects Res. A Clin. Mol. Teratol. 2013; 97(10):617-8. https://dx.doi.org/10.1002/bdra.23192.
  4. Всемирная организация здравоохранения. Пороки развития: основные факты. https://www.who.int/ru/news-room/fact-sheets/detail/congenital-anomalies (дата обращения: 14.10.2022). [WHO. Congenital disorders: Key facts. https://www.who.int/ru/news-room/fact-sheets/detail/ congenital-anomalies (assesed: 14.10.2022)].
  5. Зенкова Е.В., Бондарь И.А. Различия в течении беременности у пациенток с сахарным диабетом 2 типа и гестационным сахарным диабетом. Сахарный диабет-2017: от мониторинга к управлению. Материалы II Российской мультидисциплинарной конференции с международным участием, Новосибирск, 19–20 апреля 2017 г. Общество с ограниченной ответственностью «Манускрипт»; 2017: 43-5. [Zenkova E.V., Bondar I.A. Differences in the course of pregnancy in patients with type 2 diabetes mellitus and gestational diabetes mellitus. Diabetes mellitus-2017: from monitoring to management. Materials of the II Russian Multidisciplinary Conference with International Participation, Novosibirsk, April 19-20, 2017. LLC "Manuscript"; 2017: 43-5. (in Russian)].
  6. Волкова Н.И., Давиденко И.Ю., Дегтярева Ю.С. Гестационный сахарный диабет. Акушерство и гинекология. 2021; 9: 174-9. [Volkova N.I., Davidenko I.Yu., Degtyareva Yu.S. Gestational diabetes mellitus. Obstetrics and Gynecology. 2021; (9): 174-9 (in Russian)]. https://dx.doi.org/10.18565/aig.2021.9.174-179.
  7. International Diabetes Federation. IDF Diabetes Atlas 9th edition; 2019.
  8. Статистика и показатели. https://rosinfostat.ru (дата обращения: 25.12.2022). [Statistics and indicators. https://rosinfostat.ru (accessed: 25.12.2022). (in Russian)].
  9. Goto M.P., Goldman A.S. Diabetic embryopathy. Curr. Opin. Pediatr. 1994; 6(4):486-91. https://dx.doi.org/10.1097/00008480-199408000-00023.
  10. Lucas M.J., Leveno K.J., Williams M.L., Raskin P., Whalley P.J. Early pregnancy glycosylated hemoglobin, severity of diabetes, and fetal malformations. Am. J. Obstet. Gynecol. 1989; 161(2):426-31. https://dx.doi.org/10.1016/ 0002-9378(89)90536-x.
  11. Wender-Ozegowska E., Wróblewska K., Zawiejska A., Pietryga M., Szczapa J., Biczysko R. Threshold values of maternal blood glucose in early diabetic pregnancy--prediction of fetal malformations. Acta Obstet. Gynecol. Scand. 2005; 84(1):17-25. https://dx.doi.org/10.1111/ j.0001-6349.2005.00606.x.
  12. Логинова Е.В., Аракелян Г.А., Савенкова И.В., Гагаев Д.Ч., Оразмурадов А.А., Гагаев Ч.Г. Современные представления о здоровье детей, рожденных матерями с сахарным диабетом. Акушерство и гинекология: новости, мнения, обучение. 2019; 7(3) Приложение: 56-62. [Loginova E.V., Arakelyan G.A., Savenkova I.V., Gagaev D.Ch., Orazmuradov A.A., Gagaev Ch.G. Modern view of the health of infants born to mothers with diabetes mellitus. Obstetrics and Gyneology: News, Opinions, Training. 2019; 7(3) Supplement: 56-62. (in Russian)]. https://dx.doi.org/10.24411/2303-9698-2019-13907.
  13. Garne E., Loane M., Dolk H., Barisic I., Addor M.-C., Arriola L. et al. Spectrum of congenital anomalies in pregnancies with pregestational diabetes. Birth Defects Res. A Clin. Mol. Teratol. 2012; 94(3):134-40. doi: 10.1002/bdra.22886.
  14. Correa A., Gilboa S.M., Besser L.M., Botto L.D., Moore C.A., Hobbs C.A. et al. Diabetes mellitus and birth defects. Am. J. Obstet. Gynecol. 2008;199(3):237.e1-9. https://dx.doi.org/10.1016/j.ajog.2008.06.028.
  15. Anderson J.L., Waller D.K., Canfield M.A., Shaw G.M., Watkins M.L., Werler M.M. Maternal obesity, gestational diabetes, and central nervous system birth defects. Epidemiology. 2005;16(1):87-92. https://dx.doi.org/10.1097/ 01.ede.0000147122.97061.bb.
  16. Arendt L.H., Lindhard M.S., Henriksen T.B., Olsen J., Cnattingius S., Petersson G. et al. Maternal diabetes mellitus and genital anomalies in male offspring: a nationwide cohort study in 2 Nordic countries. Epidemiology. 2018;29(2):280-9. https://dx.doi.org/10.1097/EDE.0000000000000781.
  17. Усынина А.А., Одланд Йон Ойвинд, Пылаева Ж.А., Пастбина И.М., Гржибовский А.М. Регистр родов Архангельской области как важный информационный ресурс для науки и практического здравоохранения. Экология человека. 2017; 2: 58-64. [Usynina A.A., Odland Jon Øyvind, Pylaeva Zh.A., Pastbina I.M., Grjibovski A.M. Arkhangelsk county birth registry as an important source of information for research and healthcare. Human Ecology. 2017; 2: 58-64. (in Russian)]. https://dx.doi.org/10.33396/ 1728-0869-2017-2-58-64.
  18. Arendt L.H., Pedersen L.H., Pedersen L., Ovesen P.G., Henriksen T.B., Lindhard M.S. et al. Glycemic control in pregnancies complicated by pre-existing diabetes mellitus and congenital malformations: a Danish population-based study. Clin. Epidemiol. 2021;13:615-26. https://dx.doi.org/10.2147/CLEP.S298748.
  19. Riskin A., Garcia-Prats J.A. Infants of women with diabetes (IMD). Literature review. Jun 2019. https://www.uptodate.com/contents/infants-of-women-with-diabetes
  20. Sirico A., Sarno L., Zullo F., Martinelli P., Maruotti G.M. Pregestational diabetes and fetal heart rate in the first trimester of pregnancy. Eur. J. Obstet. Gynecol. Reprod. Biol. 2019; 232:30-2. https://dx.doi.org/10.1016/ j.ejogrb.2018.11.003.
  21. Basu M., Zhu J.Y., LaHaye S., Majumdar U., Jiao K., Han Z., Garg V. Epigenetic mechanisms underlying maternal diabetes-associated risk of congenital heart disease. JCI Insight. 2017;2(20):e95085. https://dx.doi.org/10.1172/ jci.insight.95085.
  22. Chen L., Yang T., Chen L., Wang L., Wang T., Zhao L. et al. Risk of congenital heart defects in offspring exposed to maternal diabetes mellitus: an updated systematic review and meta-analysis. Arch. Gynecol. Obstet. 2019; 300(6):1491-506. https://dx.doi.org/10.1007/s00404-019-05376-6.
  23. Maduro C., de Castro L.F., Moleiro M.L., Guedes-Martins L. Pregestational Diabetes and Congenital Heart Defects. Rev. Bras. Ginecol. Obstet. 2022;44(10):953-61. https://dx.doi.org/10.1055/s-0042-1755458.
  24. Basu M., Garg V. Maternal hyperglycemia and fetal cardiac development: Clinical impact and underlying mechanisms. Birth Defects Res. 2018;110(20):1504-16. https://dx.doi.org/10.1002/bdr2.1435.
  25. Дедов И.И., Шестакова М.В., Викулова О.К. Эпидемиология сахарного диабета в Российской Федерации: клинико-статистический анализ по данным Федерального регистра сахарного диабета. Сахарный диабет. 2017; 20(1): 13-41. [Dedov I.I., Shestakova M.V., Vikulova O.K. Epidemiology of diabetes mellitus in Russian Federation: clinical and statistical report according to the federal diabetes registry. Diabetes mellitus. 2017;20(1):13-41. (in Russian)]. https://dx.doi.org/10.14341/DM8664.
  26. Annunziata F., Bush A., Borgia F., Raimondi F., Montella S., Poeta M. et al. Congenital lung malformations: unresolved issues and unanswered questions. Front. Pediatr. 2019;7:239. https://dx.doi.org/10.3389/ fped.2019.00239.
  27. Postoev V.A., Grjibovski A.M., Kovalenko A.A., Anda E.E., Nieboer E., Odland J.Ø. Congenital anomalies of the kidney and the urinary tract: A Murmansk county birth registry study. Birth Defects Res. A Clin. Mol. Teratol. 2016;106(3):185-93. https://dx.doi.org/10.1002/bdra.23475.
  28. Волкова Н.И., Паненко С.О. Гестационный сахарный диабет: проблемы современного скрининга. Сахарный диабет. 2022;25(1):72-80. [Volkova N.I., Panenko S.O. Gestational diabetes mellitus: current screening problems. Diabetes mellitus. 2022; 25(1):72-80. (in Russian)]. https://dx.doi.org/10.14341/DM12727.
  29. Наркевич А.Н., Виноградов К.А., Гржибовский А.М. Интеллектуальные методы анализа данных в биомедицинских исследованиях: деревья классификации. Экология человека. 2021;3:54-64. [Narkevich A.N., Vinogradov K.A., Grjibovski A.M. Intelligent data analysis in biomedical research: classification trees. Human Ecology. 2021; 3: 54-64. (in Russian)]. https://dx.doi.org/10.33396/1728-0869-2021-3-54-64.
  30. Наркевич А.Н., Виноградов К.А., Параскевопуло К.М., Гржибовский А.М. Интеллектуальные методы анализа данных в биомедицинских исследованиях: нейронные сети. Экология человека. 2021; 4: 55-64. [Narkevich A.N., Vinogradov K.A., Paraskevopulo K.M., Grjibovski A.M. Intelligent data analysis in biomedical research: artificial neural networks. Human Ecology. 2021;4:55-64. (in Russian)]. https://dx.doi.org/10.33396/ 1728-0869-2021-4-55-64.

补充文件

附件文件
动作
1. JATS XML

版权所有 © Bionika Media, 2023
##common.cookie##