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Research Article

Do maternal haemodynamics have a causal influence on treatment for gestational diabetes?

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Article: 2307883 | Received 03 Oct 2023, Accepted 04 Jan 2024, Published online: 22 Feb 2024

References

  • Anness, A.R., et al., 2022. Arterial stiffness throughout pregnancy: arteriograph device-specific reference ranges based on a low-risk population. Journal of Hypertension, 40 (5), 870–877.
  • Anness, A.R., et al., 2023. Does treatment modality affect measures of arterial stiffness in women with gestational diabetes? Ultrasound in Obstetrics & Gynecology: The Official Journal of the International Society of Ultrasound in Obstetrics and Gynecology, 62 (3), 422–429.
  • Anzoategui, S., et al., 2022. Midgestation cardiovascular phenotype in women who develop gestational diabetes and hypertensive disorders of pregnancy: comparative study. Ultrasound in Obstetrics & Gynecology: The Official Journal of the International Society of Ultrasound in Obstetrics and Gynecology, 60 (2), 207–214.
  • Bogaerts, A., et al., 2017. INTER-ACT: prevention of pregnancy complications though an e-health driven interpregnancy lifestyle intervention – study protocol of a multicentre randomised controlled trial. BMC Pregnancy and Childbirth, 17 (1), 154.
  • Eleftheriades, M., et al., 2021. Prediction of insulin treatment in women with gestational diabetes mellitus. Nutrition & Diabetes, 11 (1), 30.
  • Guy, G.P., et al., 2017. Maternal cardiovascular function at 35-37 weeks’ gestation: relation to maternal characteristics. Ultrasound in Obstetrics & Gynecology: The Official Journal of the International Society of Ultrasound in Obstetrics and Gynecology, 49 (1), 39–45.
  • Kim, J.A., et al., 2006. Reciprocal relationships between insulin resistance and endothelial dysfunction: molecular and pathophysiological mechanisms. Circulation, 113 (15), 1888–1904.
  • Kintiraki, E., et al., 2018. Blunted cerebral oxygenation during exercise in women with gestational diabetes mellitus: associations with macrovascular function and cardiovascular risk factors. Metabolism: Clinical and Experimental, 83, 25–30.
  • Li, X., et al., 2022. Exercise intervention improves blood glucose levels and adverse pregnancy outcomes in GDM patients: a meta-analysis. Computational and Mathematical Methods in Medicine, 2022, 9287737. Online ahead of print.
  • Ling, H.Z., et al., 2021. Effect of maternal age on cardiac adaptation in pregnancy. Ultrasound in Obstetrics & Gynecology: The Official Journal of the International Society of Ultrasound in Obstetrics and Gynecology, 58 (2), 285–292.
  • Mansukhani, T., et al., 2022. Vascular phenotype at 35-37 weeks’ gestation in women with gestational diabetes mellitus. Ultrasound in Obstetrics & Gynecology: The Official Journal of the International Society of Ultrasound in Obstetrics and Gynecology, 61 (3), 386–391.
  • Martine-Edith, G., et al., 2021. Associations between maternal characteristics and pharmaceutical treatment of gestational diabetes: an analysis of the UK Born in Bradford (BiB) cohort study. BMJ Open, 11 (11), e053753.
  • Meah, V.L., et al., 2016. Cardiac output and related haemodynamics during pregnancy: a series of meta-analyses. Heart (British Cardiac Society), 102 (7), 518–526.
  • Mecacci, F., et al., 2022. Maternal hemodynamic chances in gestational diabetes: a prospective case-control study. Archives of Gynecology and Obstetrics, 306 (2), 357–363.
  • National Institute for Health and Care Excellence 2015. Diabetes in pregnancy: management from preconception to the postnatal period.
  • Osman, M.W., et al., 2018. Haemodynamic differences amongst women who were screened for gestational diabetes in comparison to healthy controls. Pregnancy Hypertension, 14, 23–28.
  • Pearl, J., 2009. Causality. (2nd ed.). New York: Cambridge University Press.
  • Perry, H., et al., 2019. Influence of maternal characteristics and gestational age on hemodynamic indices: NICOM device-specific reference ranges. Ultrasound in Obstetrics & Gynecology: The Official Journal of the International Society of Ultrasound in Obstetrics and Gynecology, 54 (5), 670–675.
  • Pertot, T., et al., 2011. Can common clinical parameters be used to identify patients who will need insulin treatment in gestational diabetes mellitus? Diabetes Care, 34 (10), 2214–2216.
  • Petry, C.J., et al., 2019. Temporal trends without seasonal effects on gestational diabetes incidence relate to reductions in indices of insulin secretion: the Cambridge baby growth study. Acta Diabetologica, 56 (10), 1133–1140.
  • Read, S.H., et al., 2021. BMI and the risk of gestational diabetes among women of South Asian and Chinese ethnicity: a population-based study. Diabetologia, 64 (4), 805–813.
  • Russo, L.M., et al., 2015. Physical activity interventions in pregnancy and risk of gestational diabetes mellitus: a systematic review and meta-analysis. Obstetrics and Gynecology, 125 (3), 576–582.
  • Ryan, D.K., et al., 2018. Early screening and treatment of gestational diabetes in high-risk women improves maternal and neonatal outcomes: a retrospective clinical audit. Diabetes Research and Clinical Practice, 144, 294–301.
  • Sapienza, A.D., et al., 2010. Factors predicting the need for insulin therapy in patients with gestational diabetes mellitus. Diabetes Research and Clinical Practice, 88 (1), 81–86.
  • Savvidou, M.D., et al., 2010. Maternal arterial stiffness in pregnancies complicated by gestational and type 2 diabetes mellitus. American Journal of Obstetrics and Gynecology, 203 (3), 274.e1-274–e7.
  • Sharma, A., DoWhy, K. E., 2020. An end-to-end library for causal inference. https://arxiv.org/abs/2011.04216. [Online]
  • Tennant, P.W.G., et al., 2021. Use of directed acyclic graphs (DAGs) to identify confounders in applied health research: review and recommendations. International Journal of Epidemiology, 50 (2), 620–632.
  • Tensiomed 2011. Arteriograph Users Manual. https://www.tensiomed.com/devices/arteriograph/ [Accessed + downloaded November 2018
  • Textor, J., et al., 2016. Robust causal inference using directed acyclic graphs: the R package ‘dagitty. International Journal of Epidemiology, 45 (6), 1887–1894.
  • Von Elm, E., et al., 2007. The strengthening the reporting of observational studies in epidemiology (STROBE) statement: guidelines for reporting observational studies. BMJ (Clinical Research ed.), 335 (7624), 806–808.
  • Wang, T., et al., 2021. Identification of significant predictors for the need of insulin therapy and onset of postpartum impaired glucose tolerance in gestational diabetes mellitus patients. Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy, 14, 2609–2617.
  • Westphal, S.A., 2008. Obesity, abdominal obesity, and insulin resistance. Clinical Cornerstone, 9 (1), 23–31.
  • World Medical Association. 2013. World medical association declaration of Helsinki: ethical principles for medical research involving human subjects. JAMA, 310 (20), 2191–2194.