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Suthasmalee S, Phaloprakarn C. Lactation duration and development of type 2 diabetes and metabolic syndrome in postpartum women with recent gestational diabetes mellitus. Int Breastfeed J 2024; 19:25. [PMID: 38610024 PMCID: PMC11015662 DOI: 10.1186/s13006-024-00632-1] [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: 12/28/2023] [Accepted: 03/22/2024] [Indexed: 04/14/2024] Open
Abstract
BACKGROUND The World Health Organization and United Nations Children's Fund recommend exclusive breastfeeding (EBF) for the first six months of an infant's life. Although evidence suggests that maintaining breastfeeding has positive impacts on glucose and lipid metabolism in postpartum women with a history of gestational diabetes mellitus (GDM), no study has investigated whether such effects differ between breastfeeding intensities. This study aimed to evaluate the impact of maintaining breastfeeding on prediabetes, type 2 diabetes mellitus (T2DM), and metabolic syndrome (MetS) six months postpartum in women with GDM. This study also examined the potential variations in glucometabolic outcomes between EBF at six months and partial breastfeeding at six months. METHODS This prospective cohort study included 130 women with recent GDM who experienced live births between 7 September 2020 and 31 January 2023 at a university hospital in Bangkok, Thailand. All the women were free of T2DM and MetS at baseline (six weeks postpartum). We followed up these women six months postpartum to assess their breastfeeding practices (EBF at six months, partial breastfeeding at six months, or not maintaining breastfeeding) and evaluate their progression to prediabetes, T2DM, and MetS. Maintaining breastfeeding was defined as breastfeeding for six months. EBF was determined using the "recall since birth" method. RESULTS Of the 130 participants included, the rates of prediabetes, T2DM, and MetS six months postpartum were 33% (n = 43), 2% (n = 3), and 17% (n = 22), respectively. In the unadjusted model, maintaining breastfeeding was associated with a reduction in the risks of prediabetes and MetS but not T2DM. After adjusting for potential confounders, maintaining breastfeeding was a significant protective factor only for prediabetes. The adjusted risk ratios and 95% confidence intervals were 0.54 (0.29, 0.99) for prediabetes and 0.47 (0.19, 1.06) for MetS. When EBF at six months and partial breastfeeding at six months were separately analyzed, the risks of prediabetes and MetS differed between the two groups. In the EBF at six months-to-partial breastfeeding at six months comparison, the adjusted risk ratios (95% confidence intervals) of prediabetes and MetS were 0.46 (0.22, 0.97) vs. 0.79 (0.25, 2.49) and 0.34 (0.11, 0.99) vs. 0.69 (0.22, 2.07), respectively. CONCLUSIONS Maintaining breastfeeding reduced the risk of prediabetes and MetS, but not of T2DM, six months postpartum; these effects were significant only with EBF. These findings indicate that supporting maternal efforts to practice EBF for six months may improve women's health after GDM. TRIAL REGISTRATION Thai Clinical Trials Registry Registration No. TCTR20200902003. Date of registration: September 2, 2020. Date of initial participant enrollment: September 7, 2020.
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Affiliation(s)
- Sasiwan Suthasmalee
- Women's Health Center, MedPark Hospital, Bangkok, Thailand
- Department of Obstetrics and Gynecology, Faculty of Medicine Vajira Hospital, Navamindradhiraj University, 681 Samsen Road, Dusit District, Bangkok, 10300, Thailand
| | - Chadakarn Phaloprakarn
- Department of Obstetrics and Gynecology, Faculty of Medicine Vajira Hospital, Navamindradhiraj University, 681 Samsen Road, Dusit District, Bangkok, 10300, Thailand.
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Phaloprakarn C, Suthasmalee S, Tangjitgamol S. Impact of postpartum weight change on metabolic syndrome and its components among women with recent gestational diabetes mellitus. Reprod Health 2024; 21:44. [PMID: 38582891 PMCID: PMC10998404 DOI: 10.1186/s12978-024-01783-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2023] [Accepted: 04/03/2024] [Indexed: 04/08/2024] Open
Abstract
BACKGROUND While postpartum weight changes may affect the levels of metabolic parameters, the direct effects of weight changes in the postpartum period on changes in the prevalence rates of metabolic syndrome and its components remain unstudied. This study aimed to investigate the effects of postpartum weight changes between 6 weeks and 6 months on changes in the prevalence rates of metabolic syndrome and its components in women who have recently experienced gestational diabetes mellitus. METHODS This prospective cohort study included 171 postpartum women with recent gestational diabetes mellitus, who underwent serial weight and metabolic risk factor assessments at 6 weeks and 6 months postpartum. Weight changes between these time points were classified as weight loss (> 2 kg), weight stability (± 2 kg), or weight gain (> 2 kg). Metabolic syndrome comprised the following metabolic risk factors: large waist circumference, elevated blood pressure, elevated fasting plasma glucose levels, high triglyceride levels, and low high-density lipoprotein cholesterol levels. RESULTS Of the 171 women in our cohort, 30 women (17.5%) lost > 2 kg of body weight, while 85 (49.7%) maintained a stable weight and 56 (32.8%) gained > 2 kg. The weight loss group experienced significant changes in the prevalence rates of the following metabolic risk factors compared to the weight stability and weight gain groups: large waist circumference (% change: - 26.7 vs - 5.9 vs 5.4, respectively; p = 0.004), elevated fasting plasma glucose levels (% change: - 3.4 vs 18.9 vs 26.8, respectively; p = 0.022), and high triglyceride levels (% change: - 30.0 vs 0 vs - 7.2, respectively; p = 0.024). A significantly greater decrease in the prevalence of metabolic syndrome was also found in the weight loss group than in the other two groups (% change: - 20.0 vs 11.8 vs 14.2, respectively; p = 0.002). CONCLUSIONS Weight changes from 6 weeks to 6 months postpartum significantly altered the prevalence rates of metabolic syndrome and its components in women with recent gestational diabetes mellitus. Early postpartum weight loss can reverse metabolic risk factors and reduce the prevalence of metabolic syndrome. TRIAL REGISTRATION Thai Clinical Trials Registry: Registration no. TCTR20200903001. Date of registration: September 3, 2020. Date of initial participant enrolment: September 7, 2020.
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Affiliation(s)
- Chadakarn Phaloprakarn
- Department of Obstetrics and Gynecology, Faculty of Medicine Vajira Hospital, Navamindradhiraj University, 681 Samsen Road, Dusit District, Bangkok, 10300, Thailand.
| | - Sasiwan Suthasmalee
- Department of Obstetrics and Gynecology, Faculty of Medicine Vajira Hospital, Navamindradhiraj University, 681 Samsen Road, Dusit District, Bangkok, 10300, Thailand
| | - Siriwan Tangjitgamol
- Department of Obstetrics and Gynecology, Faculty of Medicine Vajira Hospital, Navamindradhiraj University, 681 Samsen Road, Dusit District, Bangkok, 10300, Thailand
- Women's Health Center, MedPark Hospital, Bangkok, Thailand
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Blair RA, Neves JS, Nicklas JM, Horn CE, Skurnik G, Seely EW. Breastfeeding Associated with Lower Prevalence of Metabolic Syndrome in Women with Gestational Diabetes in the Very Early Postpartum Period. Am J Perinatol 2024; 41:72-81. [PMID: 34670318 DOI: 10.1055/a-1674-5724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
OBJECTIVE The aim of this study is to examine the association of breastfeeding with metabolic syndrome (MetS) in women with recent gestational diabetes mellitus (GDM) in the very early postpartum (PP) period. STUDY DESIGN We performed a secondary analysis of the Balance After Baby Intervention (BABI) study which enrolled women with recent GDM. Data collected during an early (~8 weeks) PP visit were used in this analysis. At this visit, weight, height, waist circumference (WC), blood pressure (BP), fasting plasma glucose (FPG), and lipids were obtained. MetS was classified per National Cholesterol Education Program Adult Treatment Program III (NCEP-ATP III) criteria. We defined breastfeeding as currently breastfeeding or not currently breastfeeding for the main analysis. RESULTS Of 181 women enrolled in BABI, 178 were included in this analysis (3 excluded for missing lipids). Thirty-four percent were Hispanic. Of non-Hispanics, 31.5% were White, 18.5% Asian, and 12.9% Black/African American. The prevalence of MetS was 42.9% in women not breastfeeding versus 17.1% in women breastfeeding (p < 0.001; adjusted odds ratio [aOR] = 0.16 [95% confidence interval (CI): 0.06-0.41]). Breastfeeding women had significantly lower odds of FPG ≥100 mg/dL (aOR = 0.36 [95% CI: 0.14-0.95], p = 0.039), HDL < 50 mg/dL (aOR = 0.19 [95% CI: 0.08-0.46], p < 0.001), and triglycerides (TG) ≥ 150 mg/dL (aOR = 0.26 [95% CI: 0.10-0.66], p = 0.005). When evaluated as continuous variables, WC, FPG, and TG were significantly lower and HDL significantly higher in women breastfeeding in the very early PP period (vs. not breastfeeding). CONCLUSION In a diverse population of women with recent GDM, there was lower prevalence of MetS in women breastfeeding compared with those not breastfeeding in the very early PP period. This study extends the findings of an association of breastfeeding with MetS previously reported at time points more remote from pregnancy to the very early PP period and to an ethnically and racially diverse population. KEY POINTS · MetS prevalence in women with recent GDM was lower in breastfeeding than not breastfeeding women.. · FPG, HDL, WC, and TG were improved in the breastfeeding group.. · This study extends prior findings to the very early PP period and to a diverse population..
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Affiliation(s)
- Rachel A Blair
- Division of Endocrinology, Diabetes, and Hypertension, Department of Medicine, Brigham & Women's Hospital, Boston, Massachusetts
| | - João Sérgio Neves
- Department of Endocrinology, Diabetes and Metabolism, São João University Hospital Center, Porto, Portugal
- Department of Surgery and Physiology, Cardiovascular Research and Development Center, Faculty of Medicine University of Porto, Porto, Portugal
| | - Jacinda M Nicklas
- Division of General Internal Medicine, Department of Medicine, University of Colorado School of Medicine, Aurora, Colorado
| | - Christine E Horn
- Division of Endocrinology, Diabetes, and Hypertension, Department of Medicine, Brigham & Women's Hospital, Boston, Massachusetts
| | - Geraldine Skurnik
- Division of Endocrinology, Diabetes, and Hypertension, Department of Medicine, Brigham & Women's Hospital, Boston, Massachusetts
| | - Ellen W Seely
- Division of Endocrinology, Diabetes, and Hypertension, Department of Medicine, Brigham & Women's Hospital, Boston, Massachusetts
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Nguyen B, Tselovalnikova T, Drees BM. Gestational Diabetes Mellitus and Metabolic Syndrome: A Review of the Associations and Recommendations. Endocr Pract 2024; 30:78-82. [PMID: 37918624 DOI: 10.1016/j.eprac.2023.10.133] [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: 07/28/2023] [Revised: 10/16/2023] [Accepted: 10/27/2023] [Indexed: 11/04/2023]
Abstract
OBJECTIVE Gestational diabetes mellitus (GDM) and metabolic syndrome (MetS) share common characteristics and risk factors. Both conditions increase the risk of chronic diseases and, thus, may share a common pathogenesis. This review begins with a clinical vignette, followed by evidence supporting the risk of MetS after GDM among women and their offspring and the risk of having GDM among pregnant women who have MetS before pregnancy. METHODS Research studies published between 2010 and 2023 were identified via several databases, including PubMed, the Web of Science, MEDLINE, Science Direct, ERIC, and EBSCOhost. Search terms included gestational diabetes and metabolic syndrome. Reviews, books/e-books, patents, news, trade publications, reports, dissertations/theses, conference materials, and articles in non-English languages were all excluded. RESULTS MetS increases not only the incidence of GDM during pregnancy but also the risk of diabetes in women with a history of GDM. On the other hand, women with a history of GDM had an almost 4 times increased risk of developing MetS at minimum of 1 year after delivery, and the risk increases with longer time lapse since the index pregnancy. Prepregnancy body mass index appears to be the strongest factor predicting MetS. Children exposed to GDM in utero have at least a 2 times increased risk of MetS in later life. CONCLUSION Timely assessment and continuing surveillance of MetS before and after pregnancy followed by GDM are recommended. Weight management and nutrition counseling are of importance to reduce the risk of GDM and MetS among pregnant women.
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Affiliation(s)
- Bong Nguyen
- Department of Internal Medicine and Department of Biomedical and Health Informatics, University of Missouri-Kansas City School of Medicine, Kansas City, Missouri.
| | - Tatiana Tselovalnikova
- Department of Internal Medicine, School of Medicine, University of Missouri-Kansas City, Kansas City, Missouri
| | - Betty M Drees
- Department of Internal Medicine and Department of Biomedical and Health Informatics, University of Missouri-Kansas City School of Medicine, Kansas City, Missouri; Graduate School of the Stowers Institute for Medical Research, Kansas City, Missouri
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Pathirana MM, Lassi Z, Ali A, Arstall M, Roberts CT, Andraweera PH. Cardiovascular risk factors in women with previous gestational diabetes mellitus: A systematic review and meta-analysis. Rev Endocr Metab Disord 2021; 22:729-761. [PMID: 33106997 DOI: 10.1007/s11154-020-09587-0] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/26/2020] [Indexed: 12/16/2022]
Abstract
This systematic review and meta-analysis aimed to synthesize evidence on conventional cardiovascular disease (CVD) risk factors among women with previous Gestational Diabetes Mellitus (GDM). The review protocol is registered with PROSPERO (CRD42019118149). PubMed, CINAHL, SCOPUS, and EMBASE databases were searched. Studies reporting on CVD risk factors in women with previous GDM compared to women without previous GDM were selected. A total of 139 studies were eligible, of which 93 were included in the meta-analysis. Women with previous GDM have significantly higher systolic blood pressure (2.47 mmHg 95% CI 1.74 to 3.40, n = 48, 50,118 participants) diastolic blood pressure (1.89 mmHg 95% CI 1.32 to 2.46, n = 48, 49,495 participants), BMI (1.54 kg/m2 95% CI 1.32 to 2.46, n = 78, 255,308 participants), total cholesterol (0.26 SMD 95% CI 0.15 to 0.37, n = 48, 38,561 participants), LDL cholesterol (0.19 SMD 95% CI 0.08 to 0.30, n = 44, 16,980 participants), triglycerides (0.56 SMD 95% CI 0.42 to 0.70, n = 46, 13,175 participants), glucose (0.69 SMD 95% CI 0.56 to 0.81, n = 55, 127,900 participants), insulin (0.41 SMD 95% CI 0.23 to 0.59, n = 32, 8881 participants) and significantly lower HDL cholesterol (-0.28 SMD 95% CI -0.39 to -0.16, n = 56, 35,882 participants), compared to women without previous GDM. The increased blood pressure, total cholesterol, triglycerides and glucose are seen as early as <1 year post-partum.Women with previous GDM have a higher risk of CVD based on significant increases in conventional risk factors. Some risk factors are seen as early as <1 year post-partum. Women with GDM may benefit from early screening to identify modifiable CVD risk factors.
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Affiliation(s)
- Maleesa M Pathirana
- Adelaide Medical School and The Robinson Research Institute, The University of Adelaide, Adelaide, SA, Australia
- Faculty of Health and Medical Sciences, Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia
| | - Zohra Lassi
- Adelaide Medical School and The Robinson Research Institute, The University of Adelaide, Adelaide, SA, Australia
- Faculty of Health and Medical Sciences, Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia
| | - Anna Ali
- Faculty of Health and Medical Sciences, Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia
- Basil Hetzel Institute, The Queen Elizabeth Hospital, Woodville, SA, Australia
- Adelaide G-TRAC Centre & CRE Frailty & Healthy Ageing Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia
| | - Margaret Arstall
- Faculty of Health and Medical Sciences, Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia
- Department of Cardiology, Lyell McEwin Hospital, Elizabeth Vale, SA, Australia
| | - Claire T Roberts
- Adelaide Medical School and The Robinson Research Institute, The University of Adelaide, Adelaide, SA, Australia
- Faculty of Health and Medical Sciences, Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia
- Flinders Health and Medical Research Institute, Flinders University, Bedford Park, SA, Australia
| | - Prabha H Andraweera
- Adelaide Medical School and The Robinson Research Institute, The University of Adelaide, Adelaide, SA, Australia.
- Faculty of Health and Medical Sciences, Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia.
- Department of Cardiology, Lyell McEwin Hospital, Elizabeth Vale, SA, Australia.
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Su MC, Chao AS, Chang MY, Chang YL, Chen CL, Sun JC. Effectiveness of a Nurse-Led Web-Based Health Management in Preventing Women With Gestational Diabetes From Developing Metabolic Syndrome. J Nurs Res 2021; 29:e176. [PMID: 34570053 DOI: 10.1097/jnr.0000000000000456] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND Women with gestational diabetes mellitus (GDM) are more likely to develop metabolic syndrome (MS). However, the effectiveness of web-based health management in preventing women at high risk of GDM from developing MS has rarely been studied. PURPOSE The aim of this study was to evaluate the longitudinal effects of nurse-led web-based health management on maternal anthropometric, metabolic measures, and neonatal outcomes. METHODS A randomized controlled trial was conducted from February 2017 to February 2018, in accordance with the Consolidated Standards of Reporting Trials guidelines. Data were collected from 112 pregnant women at high risk of GDM who had been screened from 984 potential participants in northern Taiwan. Participants were randomly assigned to the intervention group (n = 56) or the control group (n = 56). The intervention group received a 6-month nurse-led, web-based health management program as well as consultations conducted via the LINE mobile app. Anthropometric and metabolic measures were assessed at baseline (Time 0, prior to 28 weeks of gestation), Time 1 (36-40 weeks of gestation), and Time 2 (6-12 weeks of postpartum). Maternal and neonatal outcomes were assessed at delivery. Clinical trial was registered. RESULTS Analysis using the general estimating equation models found that anthropometric and metabolic measures were significantly better in the intervention group than the control group and varied with time. At Time 1, the levels of diastolic pressure (β = -4.981, p = .025) and triglyceride (TG; β = -33.69, p = .020) were significantly lower in the intervention group than the control group, and at Time 2, the incidence of MS in the intervention group was lower than that in the control group (χ2 = 6.022, p = .014). The number of newborns with low birth weight in the intervention group was lower than that in the control group (χ2 = 6.729, p = .012). CONCLUSION/IMPLICATIONS FOR PRACTICE This nurse-led, web-based health management was shown to be effective in improving MS outcomes and may play an important role and show feasible clinical value in changing the current pregnancy care model.
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Affiliation(s)
- Mei-Chen Su
- PhD, RN, Assistant Professor, School of Nursing, National Taipei University of Nursing and Health Sciences, Taipei City, Taiwan, ROC
| | - An-Shine Chao
- MD, Associate Professor, Attending Physician, Department of Obstetrics and Gynecology, New Taipei Municipal TuCheng Hospital, New Taipei City, Taiwan, ROC
| | - Min-Yu Chang
- MSN, RN, Supervisor, Department of Nursing, New Taipei Municipal TuCheng Hospital, and Adjunct Lecturer, Department of Nursing, Asia Eastern University of Science and Technology, New Taipei City, Taiwan, ROC
| | - Yao-Lung Chang
- MD, Associate Professor and Attending Physician, Department of Obstetrics and Gynecology, Linkou Chang Gung Memorial Hospital, Taoyuan City, Taiwan, ROC
| | - Chien-Lan Chen
- BSN, RN, Head Nurse, Department of Nursing, Linkou Chang Gung Memorial Hospital, Taoyuan City, Taiwan, ROC
| | - Jui-Chiung Sun
- PhD, RN, Assistant Professor, Department of Nursing, Chang Gung University of Science and Technology, Taoyuan City, Taiwan, ROC
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Nouhjah S, Shahbazian H, Jahanfar S, Shahbazian N. The effect of distance on the adherence to postpartum follow-up in women with gestational diabetes. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:65428-65434. [PMID: 34318425 DOI: 10.1007/s11356-021-15472-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/29/2021] [Accepted: 07/13/2021] [Indexed: 06/13/2023]
Abstract
Despite the increasing prevalence of gestational diabetes mellitus and well-known long-term metabolic consequences, a low rate of postpartum screening in this population is reported. Few studies focused on environmental factors of attending and performing blood glucose screening tests in women with gestational diabetes. This work aimed to assess the proportion of uptake of postpartum follow-up after the first recall and to study the adherence-related factors in women with gestational diabetes. All women with gestational diabetes were recalled for postpartum screening in a tertiary care center as the center of the cohort study in 2016. The postal addresses were geocoded, and precise spatial (x, y) was provided for each mother's home location. SPSS and GIS were used for data analysis. The incidence rate of gestational diabetes was 8.5% (826/9630). Of women with gestational diabetes, 21.3% accepted to return and completed postpartum screening tests in the first recall. The distance from the cohort center, history of diabetes in the family, and a number of pregnancies were significant predictors for return to follow-up using binary logistic regression (P < 0.01). The first 25% of patients had a distance of 2346 m from the cohort center, and all of the mothers referred to the hospital were 0 to 5 km away, i.e., those who did not return were more than 5 km away (95% confidence interval). Overall screening uptake rate was low. Distance from the center of the screening was an essential factor in deciding to return and adhere to postpartum care in women with gestational diabetes. Geographic inequalities must be considered as a risk factor of visiting the healthcare center in addition to individual contributors. A more accessible center may improve the postpartum follow-up rate in women with a history of gestational diabetes.
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Affiliation(s)
- Sedigheh Nouhjah
- Diabetes Research Center, Health Research Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
| | - Hajieh Shahbazian
- Diabetes Research Center, Health Research Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Shayesteh Jahanfar
- Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, USA
| | - Nahid Shahbazian
- Department of Obstetrics and Gynecology, Fertility Infertility and Perinatology Research Center, Imam Khomeini Hospital, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
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Kosinski C, Rossel JB, Gross J, Helbling C, Quansah DY, Collet TH, Puder JJ. Adverse metabolic outcomes in the early and late postpartum after gestational diabetes are broader than glucose control. BMJ Open Diabetes Res Care 2021; 9:e002382. [PMID: 34750153 PMCID: PMC8576469 DOI: 10.1136/bmjdrc-2021-002382] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Accepted: 10/03/2021] [Indexed: 01/31/2023] Open
Abstract
INTRODUCTION Gestational diabetes mellitus is associated with an increased cardiovascular risk. To better target preventive measures, we performed an in-depth characterization of cardiometabolic risk factors in a cohort of women with gestational diabetes in the early (6-8 weeks) and late (1 year) postpartum. RESEARCH DESIGN AND METHODS Prospective cohort of 622 women followed in a university gestational diabetes clinic between 2011 and 2017. 162 patients who attended the late postpartum visit were analyzed in a nested long-term cohort starting in 2015. Metabolic syndrome (MetS) was based on the International Diabetes Federation definition, and then having at least two additional criteria of the MetS (blood pressure, triglycerides, high-density lipoprotein (HDL) cholesterol, plasma glucose above or below the International Diabetes Federation cut-offs). RESULTS Compared with prepregnancy, weight retention was 4.8±6.0 kg in the early postpartum, and the prevalence of obesity, pre-diabetes, MetS-body mass index (BMI) and MetS-waist circumference (WC) were 28.8%, 28.9%, 10.3% and 23.8%, respectively. Compared with the early postpartum, weight did not change and waist circumference decreased by 2.6±0.6 cm in the late postpartum. However, the prevalence of obesity, pre-diabetes, MetS-WC and MetS-BMI increased (relative increase: 11% for obesity, 82% for pre-diabetes, 50% for MetS-WC, 100% for MetS-BMI; all p≤0.001).Predictors for obesity were the use of glucose-lowering treatment during pregnancy and the prepregnancy BMI. Predictors for pre-diabetes were the early postpartum fasting glucose value and family history of diabetes. Finally, systolic blood pressure in pregnancy and in the early postpartum, the 2-hour post oral glucose tolerance test glycemia and the HDL-cholesterol predicted the development of MetS (all p<0.05). CONCLUSIONS The prevalence of metabolic complications increased in the late postpartum, mainly due to an increase in fasting glucose and obesity, although weight did not change. We identified predictors of late postpartum obesity, pre-diabetes and MetS that could lead to high-risk identification and targeted preventions.
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Affiliation(s)
- Christophe Kosinski
- Service of Endocrinology, Diabetes and Metabolism, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Jean-Benoît Rossel
- Department Woman-Mother-Child, Service of Obstetrics, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Justine Gross
- Service of Endocrinology, Diabetes and Metabolism, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- Department Woman-Mother-Child, Service of Obstetrics, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Céline Helbling
- Service of Endocrinology, Diabetes and Metabolism, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Dan Yedu Quansah
- Department Woman-Mother-Child, Service of Obstetrics, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Tinh-Hai Collet
- Service of Endocrinology, Diabetes and Metabolism, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- Service of Endocrinology, Diabetology, Nutrition and Therapeutic Education, Geneva University Hospitals, Geneve, Switzerland
| | - Jardena J Puder
- Department Woman-Mother-Child, Service of Obstetrics, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
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Contreras-Duarte S, Claudette C, Farias M, Leiva A. High total cholesterol and triglycerides levels increase arginases metabolism, impairing nitric oxide signaling and worsening fetoplacental endothelial dysfunction in gestational diabetes mellitus pregnancies. Biochim Biophys Acta Mol Basis Dis 2021; 1867:166216. [PMID: 34314821 DOI: 10.1016/j.bbadis.2021.166216] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Revised: 06/18/2021] [Accepted: 07/07/2021] [Indexed: 12/23/2022]
Abstract
During human pregnancy, maternal physiological dyslipidemia (MPD) supports fetal development. However, some women develop maternal supraphysiological dyslipidemia (MSPD: increased total cholesterol (TC) and triglycerides (TG) levels). MSPD is present in normal and pregnancies with gestational diabetes mellitus (GDM). Both pathologies associate with fetoplacental endothelial dysfunction, producing alterations in nitric oxide (NO)-L-arginine/arginase metabolism. Nevertheless, the effect of MSPD on GDM, and how this synergy alters fetoplacental endothelial function is unknown, which is the aim of this study. 123 women at term of pregnancy were classified as MPD (n=40), MSPD (n=35), GDM with normal lipids (GDM- MPD, n=23) and with increased lipids (GDM-MSPD, n=25). TC ≥291 mg/dL and TG ≥275 mg/dL were considered as MSPD. Endothelial NO synthase (eNOS), human cationic amino acid transporter 1 (hCat1), and arginase II protein abundance and activity, were assayed in umbilical vein endothelial cells. In MSPD and MSPD-GDM, TC and TG increased respect to MPD and MPD-GDM. eNOS activity was reduced in MSPD and MSPD-GDM, but increased in MPD-GDM compared with MPD. No changes were observed in eNOS protein. However, decreased tetrahydrobiopterin levels were observed in all groups compared with MPD. Increased hCat1 protein and L-arginine transport were observed in both GDM groups compared with MPD. However, the transport was higher in GDM-MSPD compared to GDM-MPD. Higher Arginase II protein and activity were observed in MSPD-GDM compared with MPD. Thus, MSPD in GDM pregnancies alters fetal endothelial function associated with NO metabolism.
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Affiliation(s)
- S Contreras-Duarte
- School of Medical Technology, Health Sciences Faculty, Universidad San Sebastian, Santiago 7510156, Chile.
| | - C Claudette
- School of Medical Technology, Health Sciences Faculty, Universidad San Sebastian, Santiago 7510156, Chile
| | - M Farias
- School of Medical Technology, Health Sciences Faculty, Universidad San Sebastian, Santiago 7510156, Chile
| | - A Leiva
- Department of Obstetrics, School of Medicine, Pontificia Universidad Católica de Chile, Santiago 8330024, Chile.
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Rashidi H, Kalantari K, Shahbazian H, Nouhjah S. The relationship between fasting plasma glucose in the first trimester of pregnancy and the incidence of gestational diabetes in Iran. Diabetes Metab Syndr 2021; 15:102193. [PMID: 34229225 DOI: 10.1016/j.dsx.2021.102193] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Revised: 06/21/2021] [Accepted: 06/27/2021] [Indexed: 12/28/2022]
Abstract
AIMS This study aimed to investigate the relationship between fasting plasma glucose in the first trimester of pregnancy and the incidence of gestational diabetes. METHODS This descriptive-analytical study was conducted using the merging data from two prospective cohort studies that were carried out from 2015 to 2018 in Ahvaz, southwest of Iran. Logistic regression and ROC curves were used to evaluate the predictive power of risk factors. RESULTS Of all 1270 pregnant women studied, 454 (35.75%) had gestational diabetes who were compared with the other 816 (64.25%) healthy women. The area under the curve (AUC) of fasting glucose for the first pregnancy visit was 0.80 (95% CI: 0.76-83), and the optimum fasting glucose cut-off point was 85.5 mg/dL with a sensitivity of 71% and a specificity of 69%. AUC of the combination of fasting glucose at the first visit with body mass index ≥25 kg/m2 and family history of diabetes was calculated to be 0.85 (CI, 0.82-0.88) and 0.84 (CI, 0.79-0.89) respectively. CONCLUSION Fasting plasma glucose in the first trimester of pregnancy is a relatively good predictor of gestational diabetes. If this factor is combined with other risks, its diagnostic value will increase.
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Affiliation(s)
- Homeira Rashidi
- Diabetes Research Center, Research Institute of Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Kamelia Kalantari
- Diabetes Research Center, Research Institute of Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Hajieh Shahbazian
- Diabetes Research Center, Research Institute of Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Sedigheh Nouhjah
- Diabetes Research Center, Research Institute of Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
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Tranidou A, Dagklis T, Tsakiridis I, Siargkas A, Apostolopoulou A, Mamopoulos A, Goulis DG, Chourdakis M. Risk of developing metabolic syndrome after gestational diabetes mellitus - a systematic review and meta-analysis. J Endocrinol Invest 2021; 44:1139-1149. [PMID: 33226626 DOI: 10.1007/s40618-020-01464-6] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2020] [Accepted: 10/30/2020] [Indexed: 12/29/2022]
Abstract
PURPOSE A systematic review and meta-analysis were conducted to quantitatively synthesize the current evidence regarding the risk of developing metabolic syndrome (MetS) in women with a personal history of gestational diabetes mellitus (GDM), without pre-existing diabetes, compared with those without a history of GDM. METHODS Four electronic databases [MEDLINE (via PubMed), Scopus, Cochrane Library, PROSPERO] were searched for relevant literature until July 29th 2020. Cochran's Q test was applied for the assessment of heterogeneity. The random-effects model was applied by calculating the odds ratio (OR) and 95% confidence interval (CI) for each study. Publication bias was estimated with Egger's linear regression test. RESULTS The results from 23 studies (10,230 pregnant women; 5169 cases, 5061 controls), indicated that women with a history of GDM had a higher risk of developing MetS compared with those without such a history (OR 3.45; 95% CI 2.80-4.25, p < 0.0001). This risk remained higher, independently of maternal age and ethnicity (although the risk was not as high in Asians; OR 2.11; 95% CI 1.27-3.52). The risk of developing MetS was even higher in studies where women with GDM had increased body mass index (BMI) compared with the controls (OR 4.14; 95% CI 3.18-5.38). CONCLUSIONS The risk for developing MetS following delivery is higher in women with a history of GDM compared with women without such a history. Timely recognition and appropriate intervention are critical to halt progression to MetS and its associated morbidity.
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Affiliation(s)
- A Tranidou
- 3rd Department of Obstetrics and Gynecology, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
- Laboratory of Hygiene, Social & Preventive Medicine and Medical Statistics, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - T Dagklis
- 3rd Department of Obstetrics and Gynecology, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - I Tsakiridis
- 3rd Department of Obstetrics and Gynecology, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - A Siargkas
- 3rd Department of Obstetrics and Gynecology, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
- Laboratory of Hygiene, Social & Preventive Medicine and Medical Statistics, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - A Apostolopoulou
- Laboratory of Hygiene, Social & Preventive Medicine and Medical Statistics, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - A Mamopoulos
- 3rd Department of Obstetrics and Gynecology, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - D G Goulis
- Unit of Reproductive Endocrinology, 1st Department of Obstetrics and Gynecology, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - M Chourdakis
- Laboratory of Hygiene, Social & Preventive Medicine and Medical Statistics, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece.
- Unit of Reproductive Endocrinology, 1st Department of Obstetrics and Gynecology, Department of Medicine, School of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece.
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12
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Pathirana MM, Lassi ZS, Ali A, Arstall MA, Roberts CT, Andraweera PH. Association between metabolic syndrome and gestational diabetes mellitus in women and their children: a systematic review and meta-analysis. Endocrine 2021; 71:310-320. [PMID: 32930949 DOI: 10.1007/s12020-020-02492-1] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Accepted: 09/03/2020] [Indexed: 01/08/2023]
Abstract
PURPOSE The primary aim of this systematic review and meta-analysis was to determine the association between gestational diabetes mellitus (GDM) and metabolic syndrome (MetS) in women and children. Our secondary aim was to assess the development of MetS with respect to the elapsed time postpartum at which MetS was diagnosed. METHODS This review is registered with PROSPERO (CRD42020173319). PubMed, CINHAL, SCOPUS, and EMBASE databases were searched. Studies reporting on the rate of MetS in pregnant women with GDM, the rate of MetS in women with a history of GDM, and the rate of MetS in offspring exposed to GDM in utero compared to healthy controls were selected. RESULTS We identified 588 articles from the literature search. Fifty-one studies were included in the review and of those 35 were included in the meta-analysis. Quantitative summary measures showed that women with a history of GDM had an increased risk of developing MetS compared to those without a history of GDM (RR 2.36, 95% CI 1.77-3.14, 29 studies, 13,390 participants; heterogeneity: χ2 p < 0.00001; I2 = 93%). Offspring exposed to GDM in utero have an increased risk of developing MetS compared to those not exposed to GDM in utero. (RR 2.07, 95% CI 1.26-3.42, three studies, 4,421 participants; heterogeneity: χ2 p = 0.33; I2 = 12%). Women diagnosed with GDM have an increased risk of developing MetS during pregnancy (RR 20.51, 95% CI 5.04-83.55; three studies, 406 participants; heterogeneity: χ2 p = 0.96; I2 = 0%). Subgroup analysis revealed that MetS is diagnosed as early as <1 year postpartum in women with a history of GDM. CONCLUSIONS/INTERPRETATION Women with GDM have an increased risk of developing MetS during pregnancy. Women with a history of GDM and offspring exposed to GDM in utero have higher risks of developing MetS compared to those with no history of GDM. Metabolic syndrome in women with a history of GDM is seen as early as <1 year postpartum.
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Affiliation(s)
- Maleesa M Pathirana
- Adelaide Medical School and Robinson Research Institute, The University of Adelaide, Adelaide, SA, 5005, Australia
- Faculty of Health and Medical Sciences, Adelaide Medical School, The University of Adelaide, Adelaide, SA, Australia
| | - Zohra S Lassi
- Adelaide Medical School and Robinson Research Institute, The University of Adelaide, Adelaide, SA, 5005, Australia
- Faculty of Health and Medical Sciences, Adelaide Medical School, The University of Adelaide, Adelaide, SA, Australia
| | - Anna Ali
- Health Performance and Policy Research Unit, Basil Hetzel Institute, The University of Adelaide, Adelaide, SA, Australia
- Adelaide G-TRAC Centre and CRE Frailty and Healthy Ageing Adelaide Medical School, The University of Adelaide, Adelaide, SA, Australia
| | - Margaret A Arstall
- Faculty of Health and Medical Sciences, Adelaide Medical School, The University of Adelaide, Adelaide, SA, Australia
- Department of Cardiology, Lyell McEwin Hospital, Elizabeth Vale, SA, Australia
| | - Claire T Roberts
- Adelaide Medical School and Robinson Research Institute, The University of Adelaide, Adelaide, SA, 5005, Australia
- Flinders Health and Medical Research Institute, Flinders University, Bedford Park, SA, 5042, Australia
| | - Prabha H Andraweera
- Adelaide Medical School and Robinson Research Institute, The University of Adelaide, Adelaide, SA, 5005, Australia.
- Department of Cardiology, Lyell McEwin Hospital, Elizabeth Vale, SA, Australia.
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S N, H S, J Z, M S. Designing a data set for postpartum recall registry of women with gestational diabetes in recent pregnancy and its implementation in Iranian urban health centers. Diabetes Metab Syndr 2021; 15:1-6. [PMID: 33271466 DOI: 10.1016/j.dsx.2020.11.018] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Revised: 11/13/2020] [Accepted: 11/20/2020] [Indexed: 12/24/2022]
Abstract
BACKGROUND AND AIMS Gestational diabetes has serious short and long-term consequences for both mother and child. Designing a standard data set and implementing a recall registry system provides opportunities for early interventions in women with a history of gestational diabetes. The present study aims to draft a data set for the gestational diabetes recall registry and its establishment in urban health centers. METHODS To design a data set for gestational diabetes postpartum recall registry a qualitative study has been done from April to June of 2019. In this stage, Information need assessment, Identification of data elements, development of registry software, and field-testing were done. Web-based software was designed in NET language and using a Visual Studio programming environment. Implementation of the postpartum recall registry was started in 6 health centers of Ahvaz city from August 2019. RESULTS During six months 163 women with gestational diabetes in current pregnancy were registered. The final data set for the postpartum recall registry included six main groups, 23 subclasses, and 188 data elements. Mandatory data were included 115 elements. CONCLUSION A data set was finalized using a standard method and implemented in urban health centers for six months. Implementing a postpartum registry with standard elements can help manage data and plan for future interventions to reduce modifiable risk factors in this population.
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Affiliation(s)
- Nouhjah S
- Diabetes Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
| | - Shahbazian H
- Diabetes Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
| | - Zarei J
- Department of Health Information Technology, School of Allied Medical Sciences, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
| | - Sharifi M
- Ahvaz Health Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
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14
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Al-Rifai RH, Abdo NM, Paulo MS, Saha S, Ahmed LA. Prevalence of Gestational Diabetes Mellitus in the Middle East and North Africa, 2000-2019: A Systematic Review, Meta-Analysis, and Meta-Regression. Front Endocrinol (Lausanne) 2021; 12:668447. [PMID: 34512543 PMCID: PMC8427302 DOI: 10.3389/fendo.2021.668447] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Accepted: 07/30/2021] [Indexed: 12/16/2022] Open
Abstract
UNLABELLED Women in the Middle East and North Africa (MENA) region are burdened with several risk factors related to gestational diabetes mellitus (GDM) including overweight and high parity. We systematically reviewed the literature and quantified the weighted prevalence of GDM in MENA at the regional, subregional, and national levels. Studies published from 2000 to 2019 reporting the prevalence of GDM in the MENA region were retrieved and were assessed for their eligibility. Overall and subgroup pooled prevalence of GDM was quantified by random-effects meta-analysis. Sources of heterogeneity were investigated by meta-regression. The risk of bias (RoB) was assessed by the National Heart, Lung, and Blood Institute's tool. One hundred and two research articles with 279,202 tested pregnant women for GDM from 16 MENA countries were included. Most of the research reports sourced from Iran (36.3%) and Saudi Arabia (21.6%), with an overall low RoB. In the 16 countries, the pooled prevalence of GDM was 13.0% (95% confidence interval [CI], 11.5-14.6%, I2 , 99.3%). Nationally, GDM was highest in Qatar (20.7%, 95% CI, 15.2-26.7% I2 , 99.0%), whereas subregionally, GDM was highest in Gulf Cooperation Council (GCC) countries (14.7%, 95% CI, 13.0-16.5%, I2 , 99.0%). The prevalence of GDM was high in pregnant women aged ≥30 years (21.9%, 95% CI, 18.5-25.5%, I2 , 97.1%), in their third trimester (20.0%, 95% CI, 13.1-27.9%, I2 , 98.8%), and who were obese (17.2%, 95% CI, 12.8-22.0%, I2 , 93.8%). The prevalence of GDM was 10.6% (95% CI, 8.1-13.4%, I2 , 98.9%) in studies conducted before 2009, whereas it was 14.0% (95% CI, 12.1-16.0%, I2 , 99.3%) in studies conducted in or after 2010. Pregnant women in the MENA region are burdened with a substantial prevalence of GDM, particularly in GCC and North African countries. Findings have implications for maternal health in the MENA region and call for advocacy to unify GDM diagnostic criteria. SYSTEMATIC REVIEW REGISTRATION PROSPERO CRD42018100629.
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Affiliation(s)
- Rami H. Al-Rifai
- Institute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
- *Correspondence: Rami H. Al-Rifai,
| | - Noor Motea Abdo
- Institute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
| | - Marília Silva Paulo
- Institute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
| | - Sumanta Saha
- Department of Community Medicine, R. G. Kar Medical College, Kolkata, India
| | - Luai A. Ahmed
- Institute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
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Aagaard KA, Al-Far HM, Piscator U, Krogh RA, Lauszus FF. Manifest diabetes after gestational diabetes: a double-cohort, long-term follow-up in a Danish population. Arch Gynecol Obstet 2020; 302:1271-1278. [PMID: 32656592 DOI: 10.1007/s00404-020-05669-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2020] [Accepted: 06/25/2020] [Indexed: 12/14/2022]
Abstract
PURPOSE The aim was to follow-up two cohorts of women with GDM to investigate the incidence and time of diagnosis of manifest diabetes mellitus (DM) postpartum and identify the risk factors for diabetes in our population. METHODS A follow-up study on two independent cohorts having oral glucose tolerance test (OGTT) in 1991/1992 and 2011-2016: Cohort 1 consisted of 406 women including 54 with GDM and 352 with a non-GDM OGTT-test and cohort 2 had 433 women diagnosed with GDM. The first cohort had nearly 25 years of follow-up and gave information on magnitude, conversion rate and type of diabetes manifestation. The second cohort was started recently to evaluate whether newer diagnostic criteria and baseline information on the old cohort are still valid for prediction of diabetes risk. RESULTS The risk of manifest diabetes in cohort 1 at the end of follow-up was six times higher in women with previous GDM compared with non-GDM (RR = 6; 95% CI 4-11). We observed a 70% diabetes rate 25 years after pregnancy. Only family history of diabetes in cohort 2 was associated with conversion to manifest diabetes (p = 0.002), also after adjustment for age, BMI, non-Danish origin and smoking during pregnancy (p < 0.001) CONCLUSION: The incidence of diabetes after GDM is higher than that previously reported in Scandinavian populations and the rate of manifest diabetes rises steeply 15 years after pregnancy and after 40 years of age. The women of cohort 2 with recent GDM are at risk of DM at a higher rate. On this background our results are useful in identifying the time where GDM women may benefit from the effective implementation of evidence-based treatment to postpone and advert manifest DM.
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Affiliation(s)
- Kristina Aaskjær Aagaard
- Department of Gynecology and Obstetrics, Herning Hospital, Gl. Landevej 61, 7400, Herning, Denmark
| | - Hanine Mustafa Al-Far
- Department of Gynecology and Obstetrics, Herning Hospital, Gl. Landevej 61, 7400, Herning, Denmark
| | - Ulrika Piscator
- Department of Gynecology and Obstetrics, Herning Hospital, Gl. Landevej 61, 7400, Herning, Denmark
| | - Rubab Agha Krogh
- Department of Gynecology and Obstetrics, Herning Hospital, Gl. Landevej 61, 7400, Herning, Denmark
| | - Finn Friis Lauszus
- Department of Gynecology and Obstetrics, Herning Hospital, Gl. Landevej 61, 7400, Herning, Denmark.
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Lima MDCP, Melo ASO, Sena ASS, Barros VDO, Amorim MMR. Metabolic syndrome in pregnancy and postpartum: prevalence and associated factors. ACTA ACUST UNITED AC 2020; 65:1489-1495. [PMID: 31994631 DOI: 10.1590/1806-9282.65.12.1489] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2019] [Accepted: 08/30/2019] [Indexed: 11/22/2022]
Abstract
OBJECTIVE Evaluate the prevalence of metabolic syndrome (MS) and the main associated maternal factors in women without pre-gestational conditions, in early pregnancy and in the immediate postpartum. METHODS Two hundred pregnant women were evaluated at the 16th week of pregnancy, and 187 were reassessed postpartum. MS was diagnosed according to the criteria by the National Cholesterol Education Program Adult Treatment Panel III. In addition to the diagnostic criteria, anthropometric measures, blood pressure, metabolic profile, and visceral and subcutaneous fat thickness (by ultrasonography) were collected from the pregnant woman. The student's t-test was used to compare the prevalence of MS and its components in the 16th week and in the postpartum. Multiple logistic regression was performed to identify the principal factors associated with the syndrome. RESULTS The prevalence of the MS was 3.0% in early pregnancy and 9.7% postpartum (p=0.01). Following multiple logistic regression, the prepregnancy body mass index (BMI) (p=0.04) and high-density lipoprotein cholesterol (HDL-c) (p=0.02) remained associated with MS at 16 weeks, and triglyceride levels evaluated in postpartum (p<0.001) with MS in postpartum. CONCLUSION The frequency of the MS was high in the immediate postpartum. The factors associated were prepregnancy BMI and HDL-c at the 16th week, as well as triglyceride levels postpartum.
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Affiliation(s)
- Maria do Carmo Pinto Lima
- . Instituto Paraibano de Pesquisa Joaquim Amorim Neto (IPESQ), Campina Grande, PB, Brasil.,. Instituto de Medicina Integral Prof. Fernando Figueira (IMIP), Recife, PE, Brasil
| | | | - Aline Silva Santos Sena
- . Instituto Paraibano de Pesquisa Joaquim Amorim Neto (IPESQ), Campina Grande, PB, Brasil.,. Instituto de Medicina Integral Prof. Fernando Figueira (IMIP), Recife, PE, Brasil
| | - Vivianne de Oliveira Barros
- . Instituto Paraibano de Pesquisa Joaquim Amorim Neto (IPESQ), Campina Grande, PB, Brasil.,. Instituto de Medicina Integral Prof. Fernando Figueira (IMIP), Recife, PE, Brasil
| | - Melania Maria Ramos Amorim
- . Instituto Paraibano de Pesquisa Joaquim Amorim Neto (IPESQ), Campina Grande, PB, Brasil.,. Instituto de Medicina Integral Prof. Fernando Figueira (IMIP), Recife, PE, Brasil
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17
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Lorenzo-Almorós A, Hang T, Peiró C, Soriano-Guillén L, Egido J, Tuñón J, Lorenzo Ó. Predictive and diagnostic biomarkers for gestational diabetes and its associated metabolic and cardiovascular diseases. Cardiovasc Diabetol 2019; 18:140. [PMID: 31666083 PMCID: PMC6820966 DOI: 10.1186/s12933-019-0935-9] [Citation(s) in RCA: 92] [Impact Index Per Article: 18.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2019] [Accepted: 09/21/2019] [Indexed: 12/11/2022] Open
Abstract
Gestational diabetes mellitus (GDM) is defined as the presence of high blood glucose levels with the onset, or detected for the first time during pregnancy, as a result of increased insulin resistance. GDM may be induced by dysregulation of pancreatic β-cell function and/or by alteration of secreted gestational hormones and peptides related with glucose homeostasis. It may affect one out of five pregnancies, leading to perinatal morbidity and adverse neonatal outcomes, and high risk of chronic metabolic and cardiovascular injuries in both mother and offspring. Currently, GDM diagnosis is based on evaluation of glucose homeostasis at late stages of pregnancy, but increased age and body-weight, and familiar or previous occurrence of GDM, may conditionate this criteria. In addition, an earlier and more specific detection of GDM with associated metabolic and cardiovascular risk could improve GDM development and outcomes. In this sense, 1st-2nd trimester-released biomarkers found in maternal plasma including adipose tissue-derived factors such as adiponectin, visfatin, omentin-1, fatty acid-binding protein-4 and retinol binding-protein-4 have shown correlations with GDM development. Moreover, placenta-related factors such as sex hormone-binding globulin, afamin, fetuin-A, fibroblast growth factors-21/23, ficolin-3 and follistatin, or specific micro-RNAs may participate in GDM progression and be useful for its recognition. Finally, urine-excreted metabolites such as those related with serotonin system, non-polar amino-acids and ketone bodies, may complete a predictive or early-diagnostic panel of biomarkers for GDM.
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Affiliation(s)
- A Lorenzo-Almorós
- Renal, Vascular and Diabetes Laboratory, Instituto de Investigaciones Sanitarias-Fundación Jiménez Díaz, Universidad Autónoma de Madrid, Av. Reyes Católicos 2, 28040, Madrid, Spain
| | - T Hang
- Renal, Vascular and Diabetes Laboratory, Instituto de Investigaciones Sanitarias-Fundación Jiménez Díaz, Universidad Autónoma de Madrid, Av. Reyes Católicos 2, 28040, Madrid, Spain
| | - C Peiró
- Department of Pharmacology, School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain
| | - L Soriano-Guillén
- Department of Paediatrics, IIS-Fundación Jiménez Díaz, UAM, Madrid, Spain
| | - J Egido
- Renal, Vascular and Diabetes Laboratory, Instituto de Investigaciones Sanitarias-Fundación Jiménez Díaz, Universidad Autónoma de Madrid, Av. Reyes Católicos 2, 28040, Madrid, Spain
- Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM) Network, Madrid, Spain
| | - J Tuñón
- Department of Cardiology, Fundación Jiménez Díaz, Madrid, Spain
| | - Ó Lorenzo
- Renal, Vascular and Diabetes Laboratory, Instituto de Investigaciones Sanitarias-Fundación Jiménez Díaz, Universidad Autónoma de Madrid, Av. Reyes Católicos 2, 28040, Madrid, Spain.
- Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM) Network, Madrid, Spain.
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18
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Assaf-Balut C, Garcia de la Torre N, Durán A, Bordiu E, Del Valle L, Familiar C, Valerio J, Jimenez I, Herraiz MA, Izquierdo N, Runkle I, de Miguel MP, Montañez C, Barabash A, Cuesta M, Rubio MA, Calle-Pascual AL. An Early, Universal Mediterranean Diet-Based Intervention in Pregnancy Reduces Cardiovascular Risk Factors in the "Fourth Trimester". J Clin Med 2019; 8:jcm8091499. [PMID: 31546914 PMCID: PMC6780735 DOI: 10.3390/jcm8091499] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2019] [Revised: 09/10/2019] [Accepted: 09/16/2019] [Indexed: 01/15/2023] Open
Abstract
An early antenatal dietary intervention could play an important role in the prevention of metabolic diseases postpartum. The aim of this study is to evaluate whether an early, specific dietary intervention reduces women’s cardiovascular risk in the “fourth trimester”. This prospective cohort study compares 1675 women from the standard-care group (ScG/n = 676), who received standard-care dietary guidelines, with the intervention group (IG/n = 999), who received Mediterranean diet (MedDiet)-based dietary guidelines, supplemented with extra-virgin olive oil and nuts. Cardiovascular risk was determined by the presence of metabolic syndrome (MetS) and insulin resistance syndrome (IrS) (HOMA-IR 3.5) at 12–14 weeks postpartum. MetS was less frequent in the IG (11.3 vs. 19.3%, p < 0.05). The intervention was associated with a reduction in the relative risk of having MetS: 0.74 (95% CI, 0.60–0.90), but not in the risk of IrS. When analyzing the presence of having one or more components of the MetS, the IG had significantly higher rates of having 0 components and lower rates of having ≥1 (p-trend = 0.029). An early MedDiet-based nutritional intervention in pregnancy is associated with reductions in postpartum rates of MetS.
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Affiliation(s)
- Carla Assaf-Balut
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain.
- Facultad de Medicina, Medicina II Department, Universidad Complutense de Madrid, 28040 Madrid, Spain.
| | - Nuria Garcia de la Torre
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain.
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), 28029 Madrid, Spain.
| | - Alejandra Durán
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain.
- Facultad de Medicina, Medicina II Department, Universidad Complutense de Madrid, 28040 Madrid, Spain.
| | - Elena Bordiu
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain.
- Facultad de Medicina, Medicina II Department, Universidad Complutense de Madrid, 28040 Madrid, Spain.
| | - Laura Del Valle
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain.
| | - Cristina Familiar
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain.
| | - Johanna Valerio
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain.
| | - Inés Jimenez
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain.
| | - Miguel Angel Herraiz
- Facultad de Medicina, Medicina II Department, Universidad Complutense de Madrid, 28040 Madrid, Spain.
- Gynecology and Obstetrics Department, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain.
| | - Nuria Izquierdo
- Facultad de Medicina, Medicina II Department, Universidad Complutense de Madrid, 28040 Madrid, Spain.
- Gynecology and Obstetrics Department, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain.
| | - Isabelle Runkle
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain.
- Facultad de Medicina, Medicina II Department, Universidad Complutense de Madrid, 28040 Madrid, Spain.
| | - María Paz de Miguel
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain.
- Facultad de Medicina, Medicina II Department, Universidad Complutense de Madrid, 28040 Madrid, Spain.
| | - Carmen Montañez
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain.
| | - Ana Barabash
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain.
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), 28029 Madrid, Spain.
| | - Martín Cuesta
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain.
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), 28029 Madrid, Spain.
| | - Miguel Angel Rubio
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain.
- Facultad de Medicina, Medicina II Department, Universidad Complutense de Madrid, 28040 Madrid, Spain.
| | - Alfonso Luis Calle-Pascual
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain.
- Facultad de Medicina, Medicina II Department, Universidad Complutense de Madrid, 28040 Madrid, Spain.
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), 28029 Madrid, Spain.
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