157
Views
1
CrossRef citations to date
0
Altmetric
Research Article

Specialised fetal and maternal service: Outcome of pre-gestational diabetes

, , &
Pages 426-429 | Published online: 04 Jun 2012
 

Abstract

The objective of the study was to determine the outcome of pregnancies with pre-gestational diabetes mellitus (PGDM) in the presence of a specialised maternal and fetal service. Prospective data included mothers with documented pre-gestational diabetes (PGDM) delivered between 1 January 2007 and 31 December 2009. A total of 138 patients with PGDM were included in this study. The post-lunch glucose level at 34 weeks was significantly lower than at 30 weeks’ gestation (p = 0.007) and 37 weeks’ gestation (p = 0.02). No correlation was observed between maternal blood sugar and birth weight. The incidence of pre-term labour, stillbirth and admission to the NICU was similar to the control group. Caesarean section rate was 39.1%, and the main indication was previous caesarean section. The incidence of fetal anomalies was significantly higher than in the control group. It was concluded that the presence of specialised maternal and fetal clinics reduces complications related to prenatal glycaemic control. However, complications related to preconception care remains high.

Acknowledgement

The authors are grateful to Mrs Flora Dimaculangan, research nurse at the Faculty of Medicine and Health Sciences, United Arab University for her valuable help and organisation.

Declaration of interest: The authors report no conflicts of interest. The authors alone are responsible for the content and writing of the paper.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.