1
|
Lei SK, Wong CL, Leung KP, Shum TC. Gestational glucose intolerance and pregnancy outcomes: a retrospective study in the primary care setting of Macau. Medicine (Baltimore) 2023; 102:e35175. [PMID: 37713817 PMCID: PMC10508387 DOI: 10.1097/md.0000000000035175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Accepted: 08/21/2023] [Indexed: 09/17/2023] Open
Abstract
Although glucose intolerance is prevalent in Macau, it is rarely assessed during pregnancy. This study examined short-term maternal and neonatal outcomes at different maternal glucose levels in Macau. A total of 2388 pregnant women who received antenatal care at Health Centers and delivered at the Centro Hospitalar Conde de São Januário between June 2018 and December 2019 were included in this study. Gestational diabetes mellitus (GDM) was diagnosed using Carpenter and Coustan criteria, involving a 50 g glucose challenge test (GCT) followed by a 100g oral glucose tolerance test (OGTT). Participants were categorized into 4 groups: normal glucose tolerance if GCT was negative; mild gestational hyperglycemia in this study if positive GCT without GDM; GDM patients with normal fasting blood glucose (FBG) or high FBG in OGTT. Logistic regression analysis was employed to compare pregnancy outcomes among these 4 groups. Due to the limited number of cases, we combined several adverse maternal outcomes, including pregnancy-induced hypertension, assisted delivery, primary Caesarean section, moderate to severe perineal trauma, and postpartum hemorrhage, into a composite measure. The results showed higher rates of the aforementioned outcomes for mild gestational hyperglycemia and GDM with high FBG in OGTT groups [adjusted odds ratio (aOR) 1.32, 95% confidence interval (CI) 1.06-1.64; aOR 2.04, 95% CI 1.24-3.37], as well as macrosomia risk (aOR 2.02, 95% CI 1.11-3.66; aOR 5.04, 95% CI 2.03-12.52) and large-for-gestational age infants (aOR 1.48, 95% CI 1.02-2.16; aOR 4.34, 95% CI 2.31-8.15). Pregnancy outcomes were similar for normal glucose tolerance and GDM with normal FBG in OGTT. Mild gestational hyperglycemia raised the likelihood of adverse maternal outcomes and excessive infant birth weights. Even after achieving target glucose levels, GDM patients with elevated fasting glucose readings in OGTT remained at significant risk for these events. Instead, fasting normoglycemic GDM was treated effectively at Macau Health Centers.
Collapse
Affiliation(s)
- Sao Kuan Lei
- Seac Pai Van Health Center, Health Bureau, Macao SAR, China
| | - Chi Leong Wong
- Center for Disease Control and Prevention, Health Bureau, Macao SAR, China
| | - Ka Pou Leung
- Seac Pai Van Health Center, Health Bureau, Macao SAR, China
| | - Tai Chun Shum
- Seac Pai Van Health Center, Health Bureau, Macao SAR, China
| |
Collapse
|
2
|
Longmore DK, Barr ELM, Wilson AN, Barzi F, Kirkwood M, Simmonds A, Lee IL, Hawthorne E, Van Dokkum P, Connors C, Boyle JA, Zimmet P, O'Dea K, Oats J, McIntyre HD, Brown ADH, Shaw JE, Maple-Brown LJ. Associations of gestational diabetes and type 2 diabetes during pregnancy with breastfeeding at hospital discharge and up to 6 months: the PANDORA study. Diabetologia 2020; 63:2571-2581. [PMID: 32910247 DOI: 10.1007/s00125-020-05271-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Accepted: 07/20/2020] [Indexed: 01/19/2023]
Abstract
AIMS/HYPOTHESIS Women with gestational diabetes mellitus (GDM) and obesity experience lower rates of breastfeeding. Little is known about breastfeeding among mothers with type 2 diabetes. Australian Indigenous women have a high prevalence of type 2 diabetes in pregnancy. We aimed to evaluate the association of hyperglycaemia, including type 2 diabetes, with breastfeeding outcomes. METHODS Indigenous (n = 495) and non-Indigenous (n = 555) participants of the Pregnancy And Neonatal Diabetes Outcomes in Remote Australia (PANDORA) cohort included women without hyperglycaemia in pregnancy (n = 222), with GDM (n = 684) and with type 2 diabetes (n = 144). The associations of hyperglycaemia in pregnancy and breastfeeding at hospital discharge, 6 weeks and 6 months post-partum were evaluated with logistic regression, after adjustment for maternal obesity, ethnicity, maternal and neonatal characteristics. RESULTS Indigenous women were more likely to predominantly breastfeed at 6 weeks across all levels of hyperglycaemia. Compared with women with no hyperglycaemia in pregnancy, women with type 2 diabetes had lower odds for exclusive breastfeeding at discharge (adjusted OR for exclusive breastfeeding 0.4 [95% CI 0.2, 0.8] p = 0.006). At 6 weeks and 6 months, the relationship between type 2 diabetes and predominant breastfeeding was not statistically significant (6 weeks 0.7 [0.3, 1.6] p = 0.40, 6 months 0.8 [0.4, 1.6] p = 0.60). Women with gestational diabetes were as likely to achieve predominant breastfeeding at 6 weeks and 6 months as women without hyperglycaemia in pregnancy. CONCLUSIONS/INTERPRETATION Indigenous women had high rates of breastfeeding. Women with type 2 diabetes had difficulty establishing exclusive breastfeeding at hospital discharge. Further research is needed to assess the impact on long-term breastfeeding outcomes. Graphical abstract.
Collapse
Affiliation(s)
- Danielle K Longmore
- Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia
- Department of Paediatrics, Western Health, St Albans, VIC, Australia
- Department of Paediatrics, Royal Children's Hospital, Melbourne, VIC, Australia
| | - Elizabeth L M Barr
- Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia
- Clinical Diabetes and Epidemiology, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Alyce N Wilson
- Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia
- Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
| | - Federica Barzi
- Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia
| | - Marie Kirkwood
- Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia
| | - Alison Simmonds
- Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia
| | - I-Lynn Lee
- Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia
| | - Eyvette Hawthorne
- Midwifery Group Practice, Top End Health Service, Darwin, NT, Australia
| | - Paula Van Dokkum
- Aboriginal Health Domain, Baker Heart and Diabetes Institute, Central Australia, NT, Australia
| | - Christine Connors
- Darwin Region and Strategic Primary Health Care, Top End Health Service, Northern Territory Department of Health, Darwin, NT, Australia
| | - Jacqueline A Boyle
- Monash Centre for Health Research and Implementation, School of Preventative Medicine, Monash University, Melbourne, VIC, Australia
| | - Paul Zimmet
- Department of Diabetes, Monash University, Melbourne, VIC, Australia
| | - Kerin O'Dea
- School of Health Sciences, University of South Australia, Adelaide, SA, Australia
| | - Jeremy Oats
- Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
| | - Harold D McIntyre
- Mater Research, Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
| | - Alex D H Brown
- Aboriginal Health Equity Unit, South Australian Health and Medical Research Institute, Adelaide, SA, Australia
- Faculty of Health and Medical Science, University of Adelaide, Adelaide, SA, Australia
| | - Jonathan E Shaw
- Clinical Diabetes and Epidemiology, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Louise J Maple-Brown
- Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia.
- Department of Endocrinology, Division of Medicine, Royal Darwin Hospital, Darwin, NT, Australia.
| |
Collapse
|