Risk factors for gestational diabetes mellitus


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Objective. To identify significant risk factors for developing gestational diabetes mellitus (GDM) in women with hypothalam ic dysfunction (HD) and metabolic disorders of puberty for predicting adverse pregnancy outcomes. Materials and methods This prospective study of 170 female adolescents with HD in puberty was conducted from 2000 to 2014. Seventy-two pregnant women with a history of HD were examined for socioeconomic and biomedical risk factors of GDM. Relative risk (RR) and 95% confidence interval (95%CI) were used to estimate the effects of specific risk factors. Results The predictors with the best accuracy for predicting the probability of developing GDM were diabetes mellitus among family members (OR = 5.6) and induced pregnancy (OR = 1.4). Conclusions. Women with a history of HD and metabolic disorders, who plan to use assisted reproductive technologies to treat infertility, should be considered a high-risk group for GDM.

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Sobre autores

Irina Zhutovets

Amur State Medical Academy of Minzdrav of Russia

Email: zhukovec040875@mail.ru
PhD, head of the Department of Obstetrics and Gynecology

Sergey Levakov

I.M. Sechenov First Moscow State Medical University of Minzdrav of Russia (Sechenov University)

Email: levakoff@yandex.ru
MD, head of the Department of Obstetrics and Gynecology

Olga Leshchenko

Scientific Center of Family Health Problems and Human Reproduction

Email: loyairk@mail.ru
MD, chief researcher

Bibliografia

  1. Сухих Г.Т., Краснопольский В.И., Рунихина Н.К. Переход на новый уровень ведения гипертензивных и метаболических осложнений при беременности: современные критерии диагностики гестационного сахарного диабета. Акушерство и гинекология. 2013; 3: 5-9.
  2. Ashrafi M., Gosili R., Hosseini R., Arabipoor A., Ahmadi J., Chehrazi M. Risk of gestational diabetes mellitus in patients undergoing assisted reproductive techniques. Eur. J. Obstet. Gynecol. Reprod. Biol. 2014; 176: 149-52.
  3. Balani J., Hyer S.L., Shehata H., Mohareb F. Visceral fat mass as a novel risk factor for predicting gestational diabetes in obese pregnant women. Obstet. Med. 2018; 11(3): 121-5.
  4. Domanski G., Lange A.E., Ittermann T., Allenberg H., Spoo R.A., Zygmunt M. et al. Evaluation of neonatal and maternal morbidity in mothers with gestational diabetes: a population-based study. BMC Pregnancy Childbirth. 2018; 18(1): 367.
  5. Peaceman A.M., Clifton R.G., Phelan S. Lifestyle interventions limit gestational weight gain in women with overweight or obesity: LIFE-moms prospective metaanalysis. Obesity (Silver Spring). 2018; 26(9): 1396-404.
  6. Pastorino S., Bishop T., Crozier S.R., Granstrom C., Kordas K., Kupers L.K. et al. Associations between maternal physical activity in early and late pregnancy and offspring birth size: remote federated individual level meta-analysis from eight cohort studies. BJOG. 2019; 126(4): 459-70.
  7. Torres-Espmola F.J., Berglund S.K., Garcia S., Perez-Garcia M., Catena A., Rueda R. et al. Visual evoked potentials in offspring born to mothers with overweight, obesity and gestational diabetes. PLoS One. 2018; 13(9): e0203754.
  8. Kouhkan A., Khamseh M.E., Moini A., Pirjani R., Valojerdi A.E., Arabipoor A. et al. Predictive factors of gestational diabetes in pregnancies following assisted reproductive technology: a nested case-control study. Arch. Gynecol. Obstet. 2018; 298(1): 199-206.
  9. Zhukovets I., Leshchenko O., Atalyan A., Podoshvelev D. Diagnostic markers of primary infertility in women of reproductive age with hypothalamic dysfunction in the pubertal period. Int. J. Biomed. 2017; 7(3): 213-7.
  10. Kolesnikova L.I., Kolesnikov S.I., Korytov L.I., Suslikova M.I., Darenskaya M.A., Grebenkina L.A. et al. Oxidative stress as a mechanisms of reduced glucose absorption under conditions of immobilization stress. Bull. Exp. Biol. Med. 2017; 164(2): 132-5.
  11. Zhukovets I., Leshchenko O., Atalyan A., Podoshvelev D. The main risk factors of menstrual disorders among adolescent girls with hypothalamic dysfunction. In: Gynecological Endocrinology. Abstracts from the ISGE World Congress. 2-5 March 2016, Firenze, Italy. 2016: 73, abstr. P36.
  12. Darenskaya M.A., Rychkova L.V., Kolesnikov S.I., Gavrilova O.A., Kravtsova O.V., Grebenkina L.A., Kolesnikova L.I. Gxidative stress parameters in adolescent boys with exogenous-constitutional obesity. Free Rad. Biol. Med. 2017; 112: 129-30.
  13. Leshchenko O., Zhukovets I., Atalyan A. Risk of оbesity in аdult women with hypothalamic dysfunction in puberty. Observational Prospective Study. In: Abstracts of the 99th Annual Meeting of Endocrine Society. April 1-4, 2017, Orlando, USA. Endocr. Rev. 2017; 38(Suppl. 3): 552.
  14. Zipori Y., Lauterbach R., Matanes E., Beloosesky R., Weiner Z., Weissman A. Vaginal progesterone for the prevention of preterm birth and the risk of gestational diabetes. Eur. J. Obstet. Gynecol. Reprod. Biol. 2018; 230: 6-9.
  15. Rosta K., Ott J., Kelemen F., Temsch W., Lahner T., Reischer T. et al. Is vaginal progesterone treatment associated with the development of gestational diabetes? A retrospective case-control study. Arch. Gynecol. Obstet. 2018; 298(6): 1079-84.
  16. Butler M., McGuire A., Manzardo A.M. Clinically relevant known and candidate genes for obesity and their overlap with human infertilityand reproduction. J. Assist. Reprod. Genet. 2015; 32(4): 495-508.
  17. Franca-Neto A.H., Amorim M.M., Oliveira Barros V. Is newborn abdominal adiposity associated with maternal factors. Obstet. Gynecol. 2014; 123(1): 51- 9.
  18. Silberstein Т., Levy А., Harlev А. Perinatal outcome of pregnancies following in vitro fertilization and ovulation induction. J. Matern. Fetal Neonatal Med. 2014; 27(13): 1316-99.
  19. Chen M., Wu L., Wu F. Impaired glucose metabolism in response to high fat diet in female mice conceived by in vitro fertilization (IVF) or ovarian stimulation alone. PLoS One. 2014; 9(11): e113155.

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