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Liu J, Liu L, Pang X, Liu W. Incidence of glucose intolerance and risk factors in patients with gestational diabetes mellitus one year postpartum: a systematic review and meta-analysis. Endocrine 2025:10.1007/s12020-025-04271-2. [PMID: 40380032 DOI: 10.1007/s12020-025-04271-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2024] [Accepted: 05/01/2025] [Indexed: 05/19/2025]
Abstract
PURPOSE The purpose of this study is to explore the incidence and risk factors of glucose intolerance within one year postpartum in women with gestational diabetes mellitus (GDM), with the goal of informing the creation of effective preventive measures. METHOD A systematic literature search was conducted in PubMed, Embase, Cochrane Library, Web of Science, Ovid, Scopus, CINAHL, Wiley, China National Knowledge Infrastructure Database (CNKI), WANFANG Database, China Science and Technology Journal Database (CSTJ), and China Biology Medicine Database (CBM) for records published from January 1990 to August 2024. The index terms included 'gestational diabetes mellitus', 'glucose intolerance', 'postpartum', and 'risk factor'. Investigators assessed eligibility, extracted data, and evaluated the methodological quality. The meta-analysis was conducted using Stata 17.0 and Review Manager 5.4. RESULT Eighteen studies were included in the analysis, with 14 categorized as low risk of bias and 4 classified as medium risk of bias. The pooled incidence of glucose intolerance in women with GDM within 1 year postpartum was 34.5% (95% CI: 1.34-1.58). The following risk factors for glucose intolerance one year postpartum in women with GDM were identified: age (MD = 1.71; 95% CI: 0.50-2.91), pre-pregnancy BMI (MD = 1.75; 95% CI: 0.73-2.78), weight gain during pregnancy (MD = 1.25; 95% CI: 0.74-1.76), family history of diabetes (OR = 1.96; 95% CI: 1.58-2.42), fasting blood glucose at diagnosis (MD = 0.64; 95% CI: 0.39-0.88), 1-h postprandial blood glucose at diagnosis (MD = 1.24; 95% CI: 0.92-1.57), 2-h postprandial blood glucose at diagnosis (MD = 1.30; 95% CI: 0.72-1.87), history of GDM (OR = 2.62; 95% CI: 1.79-3.84), insulin use (OR = 2.41; 95% CI: 1.43-4.08), postpartum BMI (MD = 0.90; 95% CI: 0.24-1.55), diagnosed gestational weeks (MD = -1.82; 95% CI: -2.94--0.71), glycated hemoglobin (HbA1c) level at diagnosis (MD = 0.36; 95% CI: 0.14-0.58), HbA1c levels at 6-12 weeks postpartum (MD = 0.85; 95% CI: 0.42-1.29), fasting blood glucose levels 6 to 12 weeks postpartum (MD = 0.31; 95% CI: 0.05-0.57), 2-h postprandial blood glucose level 6 to 12 weeks postpartum(MD = 2.47; 95% CI: 0.68-4.26), Low-density lipoprotein (LDL) levels at diagnosis (MD = 0.20; 95% CI: 0.01-0.40), and triglyceride (TG) level at diagnosis(MD = 0.55; 95% CI: 0.34-0.75). CONCLUSION The incidence of glucose intolerance one year postpartum in women with GDM is relatively high. The subgroup analysis of this study revealed that the incidence is highest among Asian women and lowest among Caucasian women. 17 risk factors have been identified; these findings may help to better understand which GDM patients are more likely to experience glucose intolerance one year postpartum, and provide higher-level evidence for assessing the incidence and risk factors of glucose intolerance in GDM patients one year after delivery.
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Affiliation(s)
- Jie Liu
- School of Nursing, Capital Medical University, Beijing, China
| | - Leyang Liu
- School of Nursing, Capital Medical University, Beijing, China
| | - Xiaoqin Pang
- School of Nursing, Capital Medical University, Beijing, China
| | - Weiwei Liu
- School of Nursing, Capital Medical University, Beijing, China.
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Lim S, Makama M, Ioannou E, Skouteris H, Montanaro C, Taye M, Kodapally B, Moran LJ, Reja A, O'Reilly SL, Redman LM, Mathews E, Boyle J. Values, principles and research priorities for the implementation of type 2 diabetes prevention after gestational diabetes: A global consensus from Asia, Africa, Americas, Europe and Oceania. Diabet Med 2025; 42:e70017. [PMID: 40009627 PMCID: PMC12006564 DOI: 10.1111/dme.70017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2024] [Revised: 02/11/2025] [Accepted: 02/12/2025] [Indexed: 02/28/2025]
Abstract
AIMS The implementation of type 2 diabetes prevention after gestational diabetes (GDM) is poor despite research evidence on efficacy. This is limited by the lack of knowledge of the priorities in real-world settings from the perspectives of local clinicians and women with lived experiences, particularly those from underserved populations. We report here a global consensus on the values, principles, and research priorities for the implementation of type 2 diabetes prevention in individuals after gestational diabetes (GDM), from the perspectives of clinicians and women from Asia, Africa, Oceania, the Americas, and Europe. METHODS A team of health professionals and researchers from five continents formed the Cardiometabolic Health Implementation Research in Postpartum individuals (CHIRP) team. The CHIRP team undertook a priority setting process using the Modified Delphi and Nominal Group Technique. Health professionals and women with a lived experience of GDM from five continents were invited to participate. Values, principles, and research priorities were voted on by all participants. RESULTS A total of 100 consumers and health professionals from 11 countries across the five continents participated in the consensus process. The top-ranked values and principles were 'universal access', 'evidence-based', and 'equity-driven'. The top-ranked research priorities were 'stress and mental well-being', 'information on exercise and diet', 'lactation and breastfeeding', 'exercise after childbirth', and 'physical environment for healthy eating'. CONCLUSIONS Addressing mental wellbeing through strategies that are universally accessible, evidence-based, and equity-driven will increase the success of the real-world implementation and knowledge translation of type 2 diabetes prevention in women with a history of GDM in global settings.
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Affiliation(s)
- Siew Lim
- Eastern Health Clinical SchoolMonash UniversityMelbourneVictoriaAustralia
| | - Maureen Makama
- Health and Social Care Unit, School of Public Health and Preventive MedicineMonash UniversityMelbourneVictoriaAustralia
- Maternal, Child and Adolescent Health ProgramBurnet InstituteMelbourneVictoriaAustralia
| | - Elysa Ioannou
- Sport and Physical Activity Research CentreSheffield Hallam UniversitySheffieldUK
| | - Helen Skouteris
- Health and Social Care Unit, School of Public Health and Preventive MedicineMonash UniversityMelbourneVictoriaAustralia
| | | | - Melaku Taye
- Department of Internal Medicine, School of Medicine, College of Health SciencesAddis Ababa UniversityAddis AbabaEthiopia
| | - Bhagiaswari Kodapally
- Department of Public Health and Community MedicineCentral University of KeralaPeriyeIndia
| | - Lisa J. Moran
- Monash Centre for Health Research and ImplementationMonash UniversityClaytonVictoriaAustralia
| | - Ahmed Reja
- Department of Internal Medicine, School of Medicine, College of Health SciencesAddis Ababa UniversityAddis AbabaEthiopia
| | | | | | - Elezebeth Mathews
- Department of Public Health and Community MedicineCentral University of KeralaPeriyeIndia
| | - Jacqueline Boyle
- Eastern Health Clinical SchoolMonash UniversityMelbourneVictoriaAustralia
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Liu Z, Zhang Q, Liu L, Liu W. Risk factors associated with early postpartum glucose intolerance in women with a history of gestational diabetes mellitus: a systematic review and meta-analysis. Endocrine 2023; 82:498-512. [PMID: 37587390 DOI: 10.1007/s12020-023-03472-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 07/25/2023] [Indexed: 08/18/2023]
Abstract
PURPOSE This meta-analysis was aimed at exploring the incidence and risk factors of glucose intolerance in women with gestational diabetes mellitus (GDM) at 6-12 weeks postpartum to inform the development of preventive strategies. METHOD We searched Pubmed, Embase, Web of Science, the Cochrane Library, Ovid, China Knowledge Resource Integrated Database (CNKI), Wanfang Database and China Biology Medicine Database for entries between January 1990 and September 2022. The search terms included gestational diabetes mellitus, postpartum, glucose intolerance and type 2 diabetes. The meta-analysis was conducted using Stata 14.0. RESULT We included 37 studies, with 21 and 16 having low and medium risk of bias, respectively. The incidence of glucose intolerance in women with GDM 6-12 weeks postpartum was 27% (95% CI: 0.22-0.33). The following risk factors for GDM 6-12 weeks postpartum were identified: insulin use during pregnancy (OR = 3.23; 95% CI: 2.35-4.44), family history of diabetes (OR = 2.94; 95% CI: 1.98-4.33), abnormal fasting glucose levels at 24-28 weeks of gestation (OR = 1.15; 95% CI: 1.07-1.25), high pre-pregnancy BMI (OR = 1.63; 95% CI: 1.23-2.15), abnormal triglyceride levels during 28-40 weeks of gestation (OR = 2.18; 95% CI: 1.18-4.03), abnormal HbA1c levels at 28-40 weeks of gestation (OR = 6.62; 95% CI: 4.71-9.30), history of previous GDM (OR = 2.11; 95% CI: 1.27-3.49), and high 1-h glucose levels at 24-28 weeks of gestation (OR = 1.16; 95% CI:1.06-1.28). CONCLUSION The incidence of glucose intolerance in GDM patients at 6-12 weeks postpartum was high. To prevent early postpartum glucose intolerance, healthcare providers should develop individualized interventions for GDM patients, depending on existing risk factors.
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Affiliation(s)
- Zhe Liu
- School of Nursing, Capital Medical University, Beijing, China
| | | | - Leyang Liu
- School of Nursing, Capital Medical University, Beijing, China
| | - Weiwei Liu
- School of Nursing, Capital Medical University, Beijing, China.
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Gupta Y, Kapoor D, Lakshmi JK, Praveen D, Santos JA, Billot L, Naheed A, de Silva HA, Gupta I, Farzana N, John R, Ajanthan S, Bhatla N, Desai A, Pathmeswaran A, Prabhakaran D, Teede H, Zoungas S, Patel A, Tandon N. The incidence and risk factors of postpartum diabetes in women from Bangladesh, India and Sri Lanka (South Asia) with prior gestational diabetes mellitus: Results from the LIVING study. Diabetes Res Clin Pract 2023; 204:110893. [PMID: 37657646 DOI: 10.1016/j.diabres.2023.110893] [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: 03/12/2023] [Revised: 08/24/2023] [Accepted: 08/30/2023] [Indexed: 09/03/2023]
Abstract
AIM To study, the incidence and risk factors for postpartum diabetes (DM), in women with gestational diabetes mellitus (GDM) from South Asia (Bangladesh, India and Sri Lanka), followed for nearly two years after delivery. METHODS Women with prior GDM diagnosed using IADPSG criteria were invited at 19 centres across Bangladesh, India and Sri Lanka for an oral glucose tolerance test (OGTT) following childbirth, and were enrolled in a randomized controlled trial. The glycaemic category (outcome) was defined from an OGTT based on American Diabetes Association criteria. RESULTS Participants (n = 1808) recruited had a mean ± SD age of 31.0 ± 5.0 years. Incident DM was identified, between childbirth and the last follow-up, in 310 (17.1 %) women [incidence 10.75/100 person years], with a median follow-up duration of 1.82 years after childbirth. Higher age, lower education status, higher prior pregnancy count, prior history of GDM, family history of DM, and postpartum overweight/obese status were significantly associated with incident DM. Women in Bangladesh had a higher cumulative incidence of DM [16.49/100 person years] than in Sri Lanka [12.74/100 person years] and India [7.21/100 person years]. CONCLUSIONS A high incidence of DM was found in women with prior GDM in South Asia, with significant variation between countries. Women from Bangladesh had a significantly higher pregnancy count, family history of DM and overweight/obese status, despite having significantly lower age, which could be responsible for their higher rates of DM. Registration of this study: The study was registered with the Clinical Trials Registry of India (CTRI/2017/06/008744), Sri Lanka Clinical Trials Registry (SLCTR/2017/001), and ClinicalTrials.gov (NCT03305939).
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Affiliation(s)
- Yashdeep Gupta
- Department of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, India.
| | - Deksha Kapoor
- Department of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, India
| | - Josyula K Lakshmi
- George Institute for Global Health, Hyderabad, India; Faculty of Medicine and Health, University of New South Wales, Sydney, Australia; Prasanna School of Public Health, Manipal Academy of Higher Education, Manipal, India
| | - Devarsetty Praveen
- George Institute for Global Health, Hyderabad, India; Faculty of Medicine and Health, University of New South Wales, Sydney, Australia; Prasanna School of Public Health, Manipal Academy of Higher Education, Manipal, India
| | | | - Laurent Billot
- Faculty of Medicine and Health, University of New South Wales, Sydney, Australia; George Institute for Global Health, Sydney, Australia
| | - Aliya Naheed
- Initiative for Non Communicable Diseases, Nutrition Research Division, International Centre for Diarrhoeal Disease Research (ICDDR, B), Dhaka, Bangladesh
| | - H Asita de Silva
- Clinical Trials Unit, Department of Pharmacology, Faculty of Medicine, University of Kelaniya, Kelaniya, Sri Lanka
| | - Ishita Gupta
- Centre for Chronic Disease Control, New Delhi, India
| | - Noshin Farzana
- Initiative for Non Communicable Diseases, Nutrition Research Division, International Centre for Diarrhoeal Disease Research (ICDDR, B), Dhaka, Bangladesh
| | - Renu John
- George Institute for Global Health, Hyderabad, India
| | | | - Neerja Bhatla
- Department of Obstetrics and Gynaecology, All India Institute of Medical Sciences, New Delhi, India
| | - Ankush Desai
- Department of Endocrinology, Goa Medical College, Goa, India
| | | | - Dorairaj Prabhakaran
- Centre for Chronic Disease Control, New Delhi, India; Public Health Foundation of India, New Delhi, India; London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Helena Teede
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Sophia Zoungas
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Anushka Patel
- Faculty of Medicine and Health, University of New South Wales, Sydney, Australia; George Institute for Global Health, Sydney, Australia
| | - Nikhil Tandon
- Department of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, India
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Marschner S, Pant A, Henry A, Maple‐Brown LJ, Moran L, Cheung NW, Chow CK, Zaman S. Cardiovascular risk management following gestational diabetes and hypertensive disorders of pregnancy: a narrative review. Med J Aust 2023; 218:484-491. [PMID: 37149790 PMCID: PMC10953444 DOI: 10.5694/mja2.51932] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 03/21/2023] [Accepted: 03/24/2023] [Indexed: 05/08/2023]
Affiliation(s)
| | - Anushriya Pant
- Westmead Applied Research CentreUniversity of SydneySydneyNSW
| | - Amanda Henry
- University of New South WalesSydneyNSW
- St George HospitalSydneyNSW
| | - Louise J Maple‐Brown
- Diabetes across the Lifecourse: Northern Australia Partnership, Menzies School of Health ResearchDarwinNT
- Royal Darwin HospitalDarwinNT
| | - Lisa Moran
- Monash Centre for Health Research and ImplementationMonash UniversityMelbourneVIC
- Monash HealthMelbourneVIC
| | - N Wah Cheung
- Westmead Applied Research CentreUniversity of SydneySydneyNSW
- Westmead HospitalSydneyNSW
| | - Clara K Chow
- Westmead Applied Research CentreUniversity of SydneySydneyNSW
- Westmead HospitalSydneyNSW
| | - Sarah Zaman
- Westmead Applied Research CentreUniversity of SydneySydneyNSW
- Westmead HospitalSydneyNSW
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Hare MJL, Maple-Brown LJ, Shaw JE, Boyle JA, Lawton PD, Barr ELM, Guthridge S, Webster V, Hampton D, Singh G, Dyck RF, Barzi F. Risk of kidney disease following a pregnancy complicated by diabetes: a longitudinal, population-based data-linkage study among Aboriginal women in the Northern Territory, Australia. Diabetologia 2023; 66:837-846. [PMID: 36651940 PMCID: PMC10036460 DOI: 10.1007/s00125-023-05868-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 12/12/2022] [Indexed: 01/19/2023]
Abstract
AIMS/HYPOTHESIS The aim of this work was to investigate the risk of developing chronic kidney disease (CKD) or end-stage kidney disease (ESKD) following a pregnancy complicated by gestational diabetes mellitus (GDM) or pre-existing diabetes among Aboriginal women in the Northern Territory (NT), Australia. METHODS We undertook a longitudinal study of linked healthcare datasets. All Aboriginal women who gave birth between 2000 and 2016 were eligible for inclusion. Diabetes status in the index pregnancy was as recorded in the NT Perinatal Data Collection. Outcomes included any stage of CKD and ESKD as defined by ICD-10 coding in the NT Hospital Inpatient Activity dataset between 2000 and 2018. Risk was compared using Cox proportional hazards regression. RESULTS Among 10,508 Aboriginal women, the mean age was 23.1 (SD 6.1) years; 731 (7.0%) had GDM and 239 (2.3%) had pre-existing diabetes in pregnancy. Median follow-up was 12.1 years. Compared with women with no diabetes during pregnancy, women with GDM had increased risk of CKD (9.2% vs 2.2%, adjusted HR 5.2 [95% CI 3.9, 7.1]) and ESKD (2.4% vs 0.4%, adjusted HR 10.8 [95% CI 5.6, 20.8]). Among women with pre-existing diabetes in pregnancy, 29.1% developed CKD (adjusted HR 10.9 [95% CI 7.7, 15.4]) and 9.9% developed ESKD (adjusted HR 28.0 [95% CI 13.4, 58.6]). CONCLUSIONS/INTERPRETATION Aboriginal women in the NT with GDM or pre-existing diabetes during pregnancy are at high risk of developing CKD and ESKD. Pregnancy presents an important opportunity to identify kidney disease risk. Strategies to prevent kidney disease and address the social determinants of health are needed.
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Affiliation(s)
- Matthew J L Hare
- Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia.
- Endocrinology Department, Royal Darwin Hospital, Darwin, NT, Australia.
| | - Louise J Maple-Brown
- Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia
- Endocrinology Department, Royal Darwin Hospital, Darwin, NT, Australia
| | - Jonathan E Shaw
- Clinical Diabetes and Epidemiology, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Jacqueline A Boyle
- Eastern Health Clinical School, Monash University, Melbourne, VIC, Australia
| | - Paul D Lawton
- Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia
- Department of Renal Medicine, Alfred Health, Melbourne, VIC, Australia
- Central Clinical School, Monash University, 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
| | - Steven Guthridge
- Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia
| | - Vanya Webster
- Aboriginal and Torres Strait Islander Advisory Group, Diabetes across the Lifecourse: Northern Australia Partnership, Menzies School of Health Research, Darwin, NT, Australia
| | - Denella Hampton
- Aboriginal and Torres Strait Islander Advisory Group, Diabetes across the Lifecourse: Northern Australia Partnership, Menzies School of Health Research, Darwin, NT, Australia
- Central Australian Aboriginal Congress, Alice Springs, NT, Australia
| | - Gurmeet Singh
- Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia
| | - Roland F Dyck
- Department of Medicine and Canadian Centre for Health and Safety in Agriculture, University of Saskatchewan, Saskatoon, SK, Canada
| | - Federica Barzi
- Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia
- UQ Poche Centre for Indigenous Health, University of Queensland, Brisbane, QLD, Australia
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7
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Wood AJ, Lee I, Barr ELM, Barzi F, Boyle JA, Connors C, Moore E, Oats JJN, McIntyre HD, Titmuss A, Simmonds A, Zimmet PZ, Brown ADH, Corpus S, Shaw JE, Maple‐Brown LJ, PANDORA Study team. Postpartum uptake of diabetes screening tests in women with gestational diabetes: The PANDORA study. Diabet Med 2023; 40:e14999. [PMID: 36336995 PMCID: PMC10946515 DOI: 10.1111/dme.14999] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 09/21/2022] [Accepted: 10/23/2022] [Indexed: 11/09/2022]
Abstract
AIMS To determine rates and predictors of postpartum diabetes screening among Aboriginal and/or Torres Strait Islander and non-Indigenous women with gestational diabetes mellitus (GDM). METHODS PANDORA is a prospective longitudinal cohort of women recruited in pregnancy. Postpartum diabetes screening rates at 12 weeks (75-g oral glucose tolerance test (OGTT)) and 6, 12 and 18 months (OGTT, glycated haemoglobin [HbA1C ] or fasting plasma glucose) were assessed for women with GDM (n = 712). Associations between antenatal factors and screening with any test (OGTT, HbA1C , fasting plasma glucose) by 6 months postpartum were examined using Cox proportional hazards regression. RESULTS Postpartum screening rates with an OGTT by 12 weeks and 6 months postpartum were lower among Aboriginal and/or Torres Strait Islander women than non-Indigenous women (18% vs. 30% at 12 weeks, and 23% vs. 37% at 6 months, p < 0.001). Aboriginal and/or Torres Strait Islander women were more likely to have completed a 6-month HbA1C compared to non-Indigenous women (16% vs. 2%, p < 0.001). Screening by 6 months postpartum with any test was 41% for Aboriginal and/or Torres Strait Islander women and 45% for non-Indigenous women (p = 0.304). Characteristics associated with higher screening rates with any test by 6 months postpartum included, insulin use in pregnancy, first pregnancy, not smoking and lower BMI. CONCLUSIONS Given very high rates of type 2 diabetes among Aboriginal and Torres Strait Islander women, early postpartum screening with the most feasible test should be prioritised to detect prediabetes and diabetes for intervention.
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Affiliation(s)
- Anna J. Wood
- Menzies School of Health ResearchCharles Darwin UniversityCasuarinaNorthern TerritoryAustralia
- Department of EndocrinologyRoyal Darwin HospitalDarwinNorthern TerritoryAustralia
| | - I‐Lynn Lee
- Menzies School of Health ResearchCharles Darwin UniversityCasuarinaNorthern TerritoryAustralia
| | - Elizabeth L. M. Barr
- Menzies School of Health ResearchCharles Darwin UniversityCasuarinaNorthern TerritoryAustralia
- Baker Heart and Diabetes InstituteMelbourneVictoriaAustralia
| | - Federica Barzi
- Menzies School of Health ResearchCharles Darwin UniversityCasuarinaNorthern TerritoryAustralia
| | - Jacqueline A. Boyle
- Menzies School of Health ResearchCharles Darwin UniversityCasuarinaNorthern TerritoryAustralia
- Monash Centre for Health Research and ImplementationMonash UniversityClaytonVictoriaAustralia
| | - Christine Connors
- Top End Health ServiceNorthern Territory Department of HealthCasuarinaNorthern TerritoryAustralia
| | - Elizabeth Moore
- Aboriginal Medical Services Alliance Northern TerritoryNorthern TerritoryDarwinAustralia
| | - Jeremy J. N. Oats
- Melbourne School of Population and Global HealthUniversity of MelbourneMelbourneVictoriaAustralia
| | - Harold D. McIntyre
- Mater ResearchThe University of QueenslandSouth BrisbaneQueenslandAustralia
| | - Angela Titmuss
- Menzies School of Health ResearchCharles Darwin UniversityCasuarinaNorthern TerritoryAustralia
- Department of Paediatrics, Division of WomenChildren and Youth, Royal Darwin HospitalCasuarinaNorthern TerritoryAustralia
| | - Alison Simmonds
- Menzies School of Health ResearchCharles Darwin UniversityCasuarinaNorthern TerritoryAustralia
| | - Paul Z. Zimmet
- Department of DiabetesCentral Clinical School, Monash UniversityClaytonVictoriaAustralia
| | - Alex D. H. Brown
- University of AdelaideAdelaideSouth AustraliaAustralia
- South Australian Health and Medical Research InstituteAdelaideSouth AustraliaAustralia
| | - Sumaria Corpus
- Aboriginal and Torres Strait Islander Advisory GroupMenzies School of Health Research, Charles Darwin UniversityCasuarinaNorthern TerritoryAustralia
| | | | - Louise J. Maple‐Brown
- Menzies School of Health ResearchCharles Darwin UniversityCasuarinaNorthern TerritoryAustralia
- Department of EndocrinologyRoyal Darwin HospitalDarwinNorthern TerritoryAustralia
- Aboriginal and Torres Strait Islander Advisory GroupMenzies School of Health Research, Charles Darwin UniversityCasuarinaNorthern TerritoryAustralia
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8
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Shen Y, Zheng Y, Su Y, Jiang S, Ma X, Hu J, Li C, Huang Y, Teng Y, Bao Y, Tao M, Zhou J. Insulin sensitivity, β cell function, and adverse pregnancy outcomes in women with gestational diabetes. Chin Med J (Engl) 2022; 135:2541-2546. [PMID: 36583917 PMCID: PMC9944688 DOI: 10.1097/cm9.0000000000002337] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND The potential impact of β cell function and insulin sensitivity on adverse pregnancy outcomes in women with gestational diabetes mellitus (GDM) remains uncertain. We aimed to investigate the association between β cell dysfunction, insulin resistance, and the composite adverse pregnancy outcomes. METHODS This observational study included 482 women diagnosed with GDM during pregnancy. Quantitative metrics on β cell function and insulin sensitivity during pregnancy were calculated using traditional equations. The association of β cell dysfunction and insulin resistance with the risk of the composite adverse pregnancy outcomes was investigated using multivariable-adjusted logistic regression models. RESULTS Multivariable-adjusted odds ratios (ORs) of adverse pregnancy outcomes across quartiles of homeostatic model assessment for insulin resistance (HOMA-IR) were 1.00, 0.95, 1.34, and 2.25, respectively (P for trend = 0.011). When HOMA-IR was considered as a continuous variable, the multivariable-adjusted OR of adverse pregnancy outcomes was 1.34 (95% confidence interval 1.16-1.56) for each 1-unit increase in HOMA-IR. Multivariable-adjusted ORs of adverse pregnancy outcomes across quartiles of homeostatic model assessment for β cell function (HOMA-β) were 1.00, 0.51, 0.60, and 0.53, respectively (P for trend = 0.068). When HOMA-β was considered as a continuous variable, the multivariable-adjusted OR of adverse pregnancy outcomes was 0.57 (95% CI 0.24-0.90) for each 1-unit increase in HOMA-β. However, other quantitative metrics were not associated with the composite adverse pregnancy outcomes. CONCLUSIONS We demonstrated a significant association of β cell function and insulin sensitivity with the risk of adverse pregnancy outcomes. We have provided additional evidence on the early identification of adverse pregnancy outcomes besides the glycemic values.
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Affiliation(s)
- Yun Shen
- Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China
| | - Yanwei Zheng
- Department of Gynecology and Obstetrics, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China
| | - Yingying Su
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China
| | - Susu Jiang
- Department of Gynecology and Obstetrics, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China
| | - Xiaojing Ma
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China
| | - Jiangshan Hu
- Department of Gynecology and Obstetrics, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China
| | - Changbin Li
- Department of Gynecology and Obstetrics, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China
| | - Yajuan Huang
- Department of Gynecology and Obstetrics, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China
| | - Yincheng Teng
- Department of Gynecology and Obstetrics, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China
| | - Yuqian Bao
- Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China
| | - Minfang Tao
- Department of Gynecology and Obstetrics, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China
| | - Jian Zhou
- Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China
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Juan J, Sun Y, Wei Y, Wang S, Song G, Yan J, Zhou P, Yang H. Progression to type 2 diabetes mellitus after gestational diabetes mellitus diagnosed by IADPSG criteria: Systematic review and meta-analysis. Front Endocrinol (Lausanne) 2022; 13:1012244. [PMID: 36277725 PMCID: PMC9582268 DOI: 10.3389/fendo.2022.1012244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Accepted: 09/21/2022] [Indexed: 11/26/2022] Open
Abstract
Background To estimate the progression rates to type 2 diabetes mellitus (T2DM) in women with gestational diabetes mellitus (GDM) diagnosed by the International Association of Diabetes and Pregnancy Study Group (IADPSG) criteria. Methods Systematic review and meta-analysis were conducted by searching Medline, Embase, and Cochrane between January 1, 2010 and December 31, 2021 for observational studies investigating progression to T2DM after GDM. Inclusion criteria were IADPSG-diagnosed GDM, studies with both GDM and controls, postpartum follow-up duration at least one year. Data were pooled by random effects meta-analysis models. Heterogeneity was assessed by I2 statistic. The pooled relative risk for incidence of T2DM and pre-diabetes between GDM participants and controls were estimated. Reasons for heterogeneity among studies were investigated by prespecified subgroup and meta-regression analysis. Publication bias was assessed by the Begg's and Egger's tests. Results This meta-analysis of six studies assessed a total of 61932 individuals (21978 women with GDM and 39954 controls). Women with IADPSG-diagnosed GDM were 6.43 times (RR=6.43, 95% CI:3.45-11.96) more likely to develop T2DM in the future compared with controls. For GDM women, the cumulative incidence of T2DM was 12.1% (95% CI: 6.9%-17.3%), while the pooled cumulative incidence of T2DM was estimated to be 8% (95% CI: 5-11%) in studies with 1 to 5 years of follow-up and increased to 19% (95% CI: 3-34%) for studies with more than 5 years of follow-up. Women with IADPSG-diagnosed GDM had 3.69 times (RR=3.69, 95% CI:2.70-5.06) higher risk of developing pre-diabetes (including impaired fasting glucose and/or impaired glucose tolerance) than controls. Meta-regression analysis showed that the study effect size was not significantly associated with study design, race, length of follow-up, and maternal age (P>0.05). Overall, the studies had a relatively low risk of bias. Conclusions Women with IADPSG-diagnosed GDM have higher risk of developing T2DM and pre-diabetes. The risk of T2DM in GDM women are higher with longer follow-up duration. Our results highlight the importance of promoting postpartum screening and keeping health lifestyle as well as pharmacological interventions to delay/prevent the onset of T2DM/pre-diabetes in GDM women. Systematic review registration https://www.crd.york.ac.uk/prospero, identifier (CRD42022314776).
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Affiliation(s)
- Juan Juan
- Department of Obstetrics and Gynecology, Peking University First Hospital, Beijing, China
| | - Yiying Sun
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Yumei Wei
- Department of Obstetrics and Gynecology, Peking University First Hospital, Beijing, China
| | - Shuang Wang
- Department of Obstetrics and Gynecology, Peking University First Hospital, Beijing, China
| | - Geng Song
- Department of Obstetrics and Gynecology, Peking University First Hospital, Beijing, China
| | - Jie Yan
- Department of Obstetrics and Gynecology, Peking University First Hospital, Beijing, China
| | - Pengxiang Zhou
- Department of Pharmacy, Peking University Third Hospital, Beijing, China
- Institute for drug evaluation, Peking University Health Science Center, Beijing, China
| | - Huixia Yang
- Department of Obstetrics and Gynecology, Peking University First Hospital, Beijing, China
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Titmuss A, Longmore DK, Barzi F, Barr ELM, Webster V, Wood A, Simmonds A, Brown ADH, Connors C, Boyle JA, Oats J, McIntyre HD, Shaw JE, Craig ME, Maple‐Brown LJ, the PANDORA Study Research Team. Association between hyperglycaemia in pregnancy and growth of offspring in early childhood: The PANDORA study. Pediatr Obes 2022; 17:e12932. [PMID: 35644889 PMCID: PMC9539556 DOI: 10.1111/ijpo.12932] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 05/09/2022] [Indexed: 12/04/2022]
Abstract
BACKGROUND Few studies have assessed whether children exposed to in utero hyperglycaemia experience different growth trajectories compared to unexposed children. OBJECTIVES To assess association of type 2 diabetes (T2D) and gestational diabetes mellitus (GDM) with early childhood weight, length/height and body mass index (BMI) trajectories, and with timing and magnitude of peak BMI in infancy. METHODS PANDORA is a birth cohort recruited from an Australian hyperglycaemia in pregnancy register, and women with normoglycaemia recruited from the community. Offspring growth measures were obtained from health records over a median follow-up of 3.0 years (interquartile range 1.9-4.0). This analysis included children born to Aboriginal mothers with in utero normoglycaemia (n = 95), GDM (n = 228) or T2D (n = 131). Growth trajectories (weight, length/height and BMI) were estimated using linear mixed models with cubic spline functions of child age. RESULTS After adjustment for maternal factors (age, BMI, parity, smoking, and socioeconomic measures) and child factors (age, gestational age at birth, and sex), children born to mothers with T2D or GDM had lower weight, length/height and BMI trajectories in infancy than children born to mothers with normoglycaemia, but similar weight and BMI by completion of follow-up. Children exposed to T2D had lower mean peak BMI 17.6 kg/m2 (95% confidence interval [CI] 17.3-18.0) than children exposed to normoglycaemia (18.6 kg/m2 [18.1-18.9]) (p = 0.001). CONCLUSIONS Maternal hyperglycaemia was associated with differences in early childhood growth trajectories after adjustment for maternal BMI. Exploration of associations between in utero hyperglycaemia exposure and growth trajectories into later childhood is required.
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Affiliation(s)
- Angela Titmuss
- Wellbeing and Preventable Chronic Diseases DivisionMenzies School of Health Research, Charles Darwin UniversityDarwinNorthern TerritoryAustralia,Department of Paediatrics, Division of Women, Children and YouthRoyal Darwin HospitalDarwinNorthern TerritoryAustralia
| | - Danielle K. Longmore
- Wellbeing and Preventable Chronic Diseases DivisionMenzies School of Health Research, Charles Darwin UniversityDarwinNorthern TerritoryAustralia
| | - Federica Barzi
- Wellbeing and Preventable Chronic Diseases DivisionMenzies School of Health Research, Charles Darwin UniversityDarwinNorthern TerritoryAustralia,Poche Centre for Indigenous HealthUniversity of QueenslandBrisbaneQueenslandAustralia
| | - Elizabeth L. M. Barr
- Wellbeing and Preventable Chronic Diseases DivisionMenzies School of Health Research, Charles Darwin UniversityDarwinNorthern TerritoryAustralia,Clinical and Population HealthBaker Heart and Diabetes InstituteMelbourneVictoriaAustralia
| | - Vanya Webster
- Wellbeing and Preventable Chronic Diseases DivisionMenzies School of Health Research, Charles Darwin UniversityDarwinNorthern TerritoryAustralia
| | - Anna Wood
- Wellbeing and Preventable Chronic Diseases DivisionMenzies School of Health Research, Charles Darwin UniversityDarwinNorthern TerritoryAustralia,Endocrinology Department, Division of MedicineRoyal Darwin HospitalDarwinNorthern TerritoryAustralia
| | - Alison Simmonds
- Wellbeing and Preventable Chronic Diseases DivisionMenzies School of Health Research, Charles Darwin UniversityDarwinNorthern TerritoryAustralia
| | - Alex D. H. Brown
- Wardliparingga Aboriginal Research UnitSouth Australian Health and Medical Research InstituteAdelaideSouth AustraliaAustralia,Faculty of Health and Medical ScienceUniversity of AdelaideAdelaideSouth AustraliaAustralia
| | - Christine Connors
- Top End Health ServiceNorthern Territory Department of HealthDarwinNorthern TerritoryAustralia
| | - Jacqueline A. Boyle
- Wellbeing and Preventable Chronic Diseases DivisionMenzies School of Health Research, Charles Darwin UniversityDarwinNorthern TerritoryAustralia,Monash Centre for Health Research and ImplementationSchool of Public Health and Preventive Medicine, Monash UniversityMelbourneVictoriaAustralia
| | - Jeremy Oats
- Melbourne School of Population and Global HealthUniversity of MelbourneMelbourneVictoriaAustralia
| | - H. David McIntyre
- Faculty of MedicineMater Medical Research Institute, University of QueenslandBrisbaneQueenslandAustralia
| | - Jonathan E. Shaw
- Clinical and Population HealthBaker Heart and Diabetes InstituteMelbourneVictoriaAustralia
| | - Maria E. Craig
- School of Women and Children's HealthUniversity of New South WalesSydneyNew South WalesAustralia
| | - Louise J. Maple‐Brown
- Wellbeing and Preventable Chronic Diseases DivisionMenzies School of Health Research, Charles Darwin UniversityDarwinNorthern TerritoryAustralia,Endocrinology Department, Division of MedicineRoyal Darwin HospitalDarwinNorthern TerritoryAustralia
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