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Ballesteros M, Guarque A, Ingles M, Vilanova N, Lopez M, Martin L, Jane M, Puerto L, Martinez M, De la Flor M, Vendrell J, Megia A. Prematurity and congenital malformations differ according to the type of pregestational diabetes. BMC Pregnancy Childbirth 2024; 24:335. [PMID: 38698309 PMCID: PMC11064320 DOI: 10.1186/s12884-024-06470-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Accepted: 03/30/2024] [Indexed: 05/05/2024] Open
Abstract
BACKGROUND Diabetes mellitus (DM) is the most common metabolic disorder in pregnancy. Women with Type 2 DM seems to have no better perinatal outcomes than those with Type 1 DM. METHODS Single-center prospective cohort observational study. Pregnant women with diabetes (141 with Type 1 DM and 124 with Type 2 DM) that were followed in the university hospital between 2009 and 2021 were included in this study. Clinical data and obstetric and perinatal outcomes were collected. RESULTS As expected, women with Type 1 DM were younger and had a longer duration of diabetes than women with Type 2 DM. Obesity and chronic hypertension were higher in the group of women with Type 2 DM and their value of HbA1c in the second and third trimesters were lower than in Type 1 DM. No differences in prematurity were found, but more extreme prematurity was observed in Type 2 DM, as well as a higher rate of congenital malformations. The frequency of hypoglycemia and the weight of the newborn was higher in Type 1 DM. The maternal independent factors related to the weight of the newborn were: the glycemic control at the third trimester, the weight gain during pregnancy, and pregestational BMI. CONCLUSIONS Newborns born to mothers with Type 1 DM were larger and had a higher frequency of hypoglycemia, while congenital malformations and precocious preterm was more associated to Type 2 DM. Metabolic control, weight gain and pregestational weight were important determinants of both obstetric and neonatal complications.
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Affiliation(s)
- Monica Ballesteros
- Department of Medicine and Surgery, Rovira i Virgili University, Tarragona, Spain.
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Carlos III Health Institute, Madrid, Spain.
- Department of Obstetrics and Gynecology, University Hospital of Tarragona Joan XXIII, Institut d'Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain.
| | - A Guarque
- Department of Medicine and Surgery, Rovira i Virgili University, Tarragona, Spain
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Carlos III Health Institute, Madrid, Spain
- Department of Obstetrics and Gynecology, University Hospital of Tarragona Joan XXIII, Institut d'Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
| | - M Ingles
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Carlos III Health Institute, Madrid, Spain
- Department of Obstetrics and Gynecology, University Hospital of Tarragona Joan XXIII, Institut d'Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
| | - N Vilanova
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
| | - M Lopez
- Department of Medicine and Surgery, Rovira i Virgili University, Tarragona, Spain
- Department of Obstetrics and Gynecology, University Hospital of Tarragona Joan XXIII, Institut d'Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
| | - L Martin
- Department of Medicine and Surgery, Rovira i Virgili University, Tarragona, Spain
- Department of Obstetrics and Gynecology, University Hospital of Tarragona Joan XXIII, Institut d'Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
| | - M Jane
- Department of Medicine and Surgery, Rovira i Virgili University, Tarragona, Spain
- Department of Obstetrics and Gynecology, University Hospital of Tarragona Joan XXIII, Institut d'Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
| | - L Puerto
- Department of Obstetrics and Gynecology, University Hospital of Tarragona Joan XXIII, Institut d'Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
| | - M Martinez
- Department of Obstetrics and Gynecology, University Hospital of Tarragona Joan XXIII, Institut d'Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
| | - M De la Flor
- Department of Medicine and Surgery, Rovira i Virgili University, Tarragona, Spain
- Department of Obstetrics and Gynecology, University Hospital of Tarragona Joan XXIII, Institut d'Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
| | - J Vendrell
- Department of Medicine and Surgery, Rovira i Virgili University, Tarragona, Spain
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Carlos III Health Institute, Madrid, Spain
- Departament of Endocrinology and Nutrition, Research Unit, University Hospital of Tarragona Joan XXIII, Institut d'Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
| | - A Megia
- Department of Medicine and Surgery, Rovira i Virgili University, Tarragona, Spain
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Carlos III Health Institute, Madrid, Spain
- Departament of Endocrinology and Nutrition, Research Unit, University Hospital of Tarragona Joan XXIII, Institut d'Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
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Tschirhart H, Landeen J, Yost J, Nerenberg KA, Sherifali D. Perceptions of diabetes distress during pregnancy in women with type 1 and type 2 diabetes: a qualitative interpretive description study. BMC Pregnancy Childbirth 2024; 24:232. [PMID: 38570742 PMCID: PMC10988880 DOI: 10.1186/s12884-024-06370-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Accepted: 02/25/2024] [Indexed: 04/05/2024] Open
Abstract
BACKGROUND Diabetes distress is commonly seen in adults with pre-existing diabetes and is associated with worsened glycemic management and self-management practices. While a majority of women report increased stress during pregnancy, it is unknown how women with type 1 or type 2 diabetes experience diabetes distress during this unique and transitional time. PURPOSE This study aimed to understand the experiences and perceptions of diabetes distress in women with pre-existing diabetes during pregnancy. METHODS A qualitative study using an interpretive description approach was conducted. In-depth, one to one interviewing was used to capture rich descriptions of the pregnancy experience. Nested, stratified, and theoretical sampling was used to recruit 18 participants with type 1 and type 2 diabetes from the quantitative strand of this mixed methods study. Constant comparative analysis was used to inductively analyze the data and develop themes. FINDINGS Four themes, each with several subthemes, emerged under the main finding of "Diabetes Distress": 1) Worry for Baby's Health - "What's this going to do to the baby?"' 2) Feeling Overwhelmed with Diabetes Management-"It just seemed unattainable"; 3) Living with Diabetes - "There's no way out" and 4) Cycle of Diabetes Distress. CONCLUSIONS The findings from this study identify the sources and experiences of diabetes distress during pregnancy in women with pre-existing diabetes. Diabetes distress often presents as cyclical and multifaceted during pregnancy, with elements of fear for the unborn baby, difficulties with diabetes management, and having negative lived experiences of diabetes. Further work is needed to develop appropriate screening tools for pregnancy and interventions to mitigate diabetes distress. Diabetes educators are well-positioned provide emotional support and person-centred self-management education to individuals with diabetes.
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Affiliation(s)
- Holly Tschirhart
- School of Nursing, Faculty of Health Sciences, McMaster University, Hamilton, Canada.
| | - Janet Landeen
- School of Nursing, Faculty of Health Sciences, McMaster University, Hamilton, Canada
| | - Jennifer Yost
- M. Louise Fitzpatrick College of Nursing, Villanova University, Pennsylvania, USA
| | - Kara A Nerenberg
- Departments of Medicine, Obstetrics & Gynecology, and Community Health Sciences, University of Calgary, Calgary, Canada
| | - Diana Sherifali
- School of Nursing, Faculty of Health Sciences, McMaster University, Hamilton, Canada
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Singh M, Wambua S, Lee SI, Okoth K, Wang Z, Fayaz FFA, Eastwood KA, Nelson-Piercy C, Reynolds JA, Nirantharakumar K, Crowe F. Autoimmune diseases and adverse pregnancy outcomes: an umbrella review. BMC Med 2024; 22:94. [PMID: 38438886 PMCID: PMC10913233 DOI: 10.1186/s12916-024-03309-y] [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: 02/19/2024] [Indexed: 03/06/2024] Open
Abstract
BACKGROUND There is a high prevalence of autoimmune conditions in women specially in the reproductive years; thus, the association with adverse pregnancy outcomes has been widely studied. However, few autoimmune conditions/adverse outcomes have been studied more than others, and this umbrella review aims to consolidate existing knowledge in this area with the aim to provide new knowledge and also identify gaps in this research area. METHODS Medline, Embase, and Cochrane databases were searched from inception to December 2023. Screening, data extraction, and quality appraisal (AMSTAR 2) were done by two independent reviewers. Data were synthesised narratively and quantitatively. Relative risks (RR)/odds ratio (OR) with 95% confidence intervals were reported. RESULTS Thirty-two reviews were included consisting of 709 primary studies. The review reported the association between 12 autoimmune conditions and 16 adverse pregnancy outcomes. Higher risk of miscarriage is reported in women with Sjögren's syndrome RR 8.85 (95% CI 3.10-25.26) and systemic lupus erythematosus (SLE) OR 4.90 (3.10-7.69). Pre-eclampsia was reported higher in women with type 1 diabetes mellitus (T1DM) OR 4.19 (3.08-5.71) and SLE OR 3.20 (2.54-4.20). Women reported higher risk of diabetes during pregnancy with inflammatory bowel disease (IBD) OR 2.96 (1.47-5.98). There was an increased risk of intrauterine growth restriction in women with systemic sclerosis OR 3.20 (2.21-4.53) and coeliac disease OR 1.71 (1.36-2.14). Preterm birth was associated with T1DM OR 4.36 (3.72-5.12) and SLE OR 2.79 (2.07-3.77). Low birth weight babies were reported in women with women with SLE or systemic sclerosis OR 5.95 (4.54-7.80) and OR 3.80 (2.16-6.56), respectively. There was a higher risk of stillbirth in women with T1DM OR 3.97 (3.44-4.58), IBD OR 1.57 (1.03-2.38), and coeliac disease OR 1.57 (1.17-2.10). T1DM in women was associated with 32% lower odds of small for gestational age baby OR 0.68 (0.56-0.83). CONCLUSIONS Pregnant women with autoimmune conditions are at a greater risk of developing adverse pregnancy outcomes. Further research is required to develop better preconception to postnatal care for women with autoimmune conditions.
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Affiliation(s)
- Megha Singh
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Steven Wambua
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Siang Ing Lee
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Kelvin Okoth
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Zhaonan Wang
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | | | - Kelly-Ann Eastwood
- Centre for Public Health, University of Belfast, Belfast, Queen, BT7 1NN, UK
- Michael's Hospital, University Hospitals Bristol NHS Foundation Trust, Bristol, BS2 8EG, UK
| | | | - John A Reynolds
- Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK
| | | | - Francesca Crowe
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
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Xie X, Liu J, García-Patterson A, Chico A, Mateu-Salat M, Amigó J, Adelantado JM, Corcoy R. Gestational weight gain in women with type 1 and type 2 diabetes mellitus is related to both general and diabetes-related clinical characteristics. Hormones (Athens) 2024; 23:121-130. [PMID: 37845472 DOI: 10.1007/s42000-023-00497-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2023] [Accepted: 10/04/2023] [Indexed: 10/18/2023]
Abstract
PURPOSE To assess predictors of gestational weight gain (GWG), according to the Institute of Medicine (IOM) 2009, in women with type 1 and type 2 diabetes. METHODS This was a retrospective cohort study conducted at a tertiary center. GWG based on the IOM was assessed both uncorrected and corrected for gestational age. General and diabetes-related clinical characteristics were analyzed as predictors. RESULTS We evaluated 633 pregnant women with type 1 and type 2 diabetes. GWG uncorrected for gestational age was inadequate (iGWG) in 20.4%, adequate in 37.1%, and excessive (eGWG) in 42.5% of the women. Predictors included general (height, prepregnancy body mass index category, and multiple pregnancy) and diabetes-related clinical characteristics. Neuropathy and follow-up length were associated with iGWG (odds ratio (OR) 3.00, 95% CI 1.22-7.37; OR 0.92, 95% CI 0.86-0.97, respectively), while pump use and third-trimester insulin dose were associated with eGWG (OR 1.68, 95% CI 1.07-2.66; OR 3.64, 95% CI 1.88-7.06, respectively). Independent predictors for corrected GWG and sensitivity analyses also included general and diabetes-related clinical characteristics. CONCLUSION In this cohort of women with type 1 and type 2 diabetes, non-adequate GWG was common, mainly due to eGWG, and associated clinical characteristics were both general and diabetes-related. Current clinical care of these women during pregnancy may favor weight gain.
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Affiliation(s)
- Xinglei Xie
- Departament de Medicina, Universitat Autònoma de Barcelona, Bellaterra, 08193, Barcelona, Spain
| | - Jiaming Liu
- Departament de Medicina, Universitat Autònoma de Barcelona, Bellaterra, 08193, Barcelona, Spain
| | | | - Ana Chico
- Departament de Medicina, Universitat Autònoma de Barcelona, Bellaterra, 08193, Barcelona, Spain
- Institut de Recerca, Hospital de la Santa Creu i Sant Pau, 08041, Barcelona, Spain
- Servei d'Endocrinologia i Nutrició, Hospital de la Santa Creu i Sant Pau, 08041, Barcelona, Spain
- CIBER-BBN, 28029, Madrid, Spain
| | - Manel Mateu-Salat
- Servei d'Endocrinologia i Nutrició, Hospital de la Santa Creu i Sant Pau, 08041, Barcelona, Spain
| | - Judit Amigó
- Servei d'Endocrinologia i Nutrició, Hospital de la Santa Creu i Sant Pau, 08041, Barcelona, Spain
| | - Juan María Adelantado
- Servei d'Obstetricia i Ginecologia, Hospital de la Santa Creu i Sant Pau, 08041, Barcelona, Spain
| | - Rosa Corcoy
- Departament de Medicina, Universitat Autònoma de Barcelona, Bellaterra, 08193, Barcelona, Spain.
- Institut de Recerca, Hospital de la Santa Creu i Sant Pau, 08041, Barcelona, Spain.
- Servei d'Endocrinologia i Nutrició, Hospital de la Santa Creu i Sant Pau, 08041, Barcelona, Spain.
- CIBER-BBN, 28029, Madrid, Spain.
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Lin Y, Chen JS, Zhong N, Zhang A, Pan H. A Bayesian network perspective on neonatal pneumonia in pregnant women with diabetes mellitus. BMC Med Res Methodol 2023; 23:249. [PMID: 37880592 PMCID: PMC10601254 DOI: 10.1186/s12874-023-02070-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Accepted: 10/13/2023] [Indexed: 10/27/2023] Open
Abstract
OBJECTIVE To predict the influencing factors of neonatal pneumonia in pregnant women with diabetes mellitus using a Bayesian network model. By examining the intricate network connections between the numerous variables given by Bayesian networks (BN), this study aims to compare the prediction effect of the Bayesian network model and to analyze the influencing factors directly associated to neonatal pneumonia. METHOD Through the structure learning algorithms of BN, Naive Bayesian (NB), Tree Augmented Naive Bayes (TAN), and k-Dependence Bayesian Classifier (KDB), complex networks connecting variables were presented and their predictive abilities were tested. The BN model and three machine learning models computed using the R bnlean package were also compared in the data set. RESULTS In constraint-based algorithms, three algorithms had different presentation DAGs. KDB had a better prediction effect than NB and TAN, and it achieved higher AUC compared with TAN. Among three machine learning modes, Support Vector Machine showed a accuracy rate of 91.04% and 67.88% of precision, which was lower than TAN (92.70%; 72.10%). CONCLUSION KDB was applicable, and it can detect the dependencies between variables, identify more potential associations and track changes between variables and outcome.
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Affiliation(s)
- Yue Lin
- School of Public Health, Guangdong Medical University, Dongguan, 523808, China
| | - Jia Shen Chen
- School of Public Health, Guangdong Medical University, Dongguan, 523808, China
| | - Ni Zhong
- School of Public Health, Guangdong Medical University, Dongguan, 523808, China
| | - Ao Zhang
- School of Public Health, Guangdong Medical University, Dongguan, 523808, China
| | - Haiyan Pan
- School of Public Health, Guangdong Medical University, Dongguan, 523808, China.
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Greff D, Váncsa S, Váradi A, Szinte J, Park S, Hegyi P, Nyirády P, Ács N, Horváth EM, Várbíró S. Myoinositols Prevent Gestational Diabetes Mellitus and Related Complications: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. Nutrients 2023; 15:4224. [PMID: 37836508 PMCID: PMC10574514 DOI: 10.3390/nu15194224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Revised: 09/22/2023] [Accepted: 09/26/2023] [Indexed: 10/15/2023] Open
Abstract
Although gestational diabetes mellitus (GDM) has several short- and long-term adverse effects on the mother and the offspring, no medicine is generally prescribed to prevent GDM. The present systematic review and meta-analysis aimed to investigate the effect of inositol supplementation in preventing GDM and related outcomes. Systematic search was performed in CENTRAL, MEDLINE, and Embase until 13 September 2023. Eligible randomized controlled trials (RCTs) compared the efficacy of inositols to placebo in pregnant women at high risk for GDM. Our primary outcome was the incidence of GDM, whereas secondary outcomes were oral glucose tolerance test (OGTT) and maternal and fetal complications. (PROSPERO registration number: CRD42021284939). Eight eligible RCTs were identified, including the data of 1795 patients. The incidence of GDM was halved by inositols compared to placebo (RR = 0.42, CI: 0.26-0.67). Fasting, 1-h, and 2-h OGTT glucose levels were significantly decreased by inositols. The stereoisomer myoinositol also reduced the risk of insulin need (RR = 0.29, CI: 0.13-0.68), preeclampsia or gestational hypertension (RR = 0.38, CI: 0.2-0.71), preterm birth (RR = 0.44, CI: 0.22-0.88), and neonatal hypoglycemia (RR = 0.12, CI: 0.03-0.55). Myoinositol decrease the incidence of GDM in pregnancies high-risk for GDM. Moreover, myoinositol supplementation reduces the risk of insulin need, preeclampsia or gestational hypertension, preterm birth, and neonatal hypoglycemia. Based on the present study 2-4 g myoinositol canbe suggested from the first trimester to prevent GDM and related outcomes.
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Affiliation(s)
- Dorina Greff
- Centre for Translational Medicine, Semmelweis University, 1085 Budapest, Hungary (N.Á.)
- Department of Obstetrics and Gynecology, Semmelweis University, 1083 Budapest, Hungary
- Department of Physiology, Semmelweis University, Tűzoltó Str. 37-47, 1094 Budapest, Hungary
| | - Szilárd Váncsa
- Centre for Translational Medicine, Semmelweis University, 1085 Budapest, Hungary (N.Á.)
- Institute for Translational Medicine, Medical School, University of Pécs, 7621 Pécs, Hungary
- Institute of Pancreatic Diseases, Semmelweis University, 1085 Budapest, Hungary
| | - Alex Váradi
- Institute for Translational Medicine, Medical School, University of Pécs, 7621 Pécs, Hungary
- Department of Metagenomics, University of Debrecen, 4032 Debrecen, Hungary
- Department of Laboratory Medicine, Medical School, University of Pécs, 7621 Pécs, Hungary
| | - Julia Szinte
- Centre for Translational Medicine, Semmelweis University, 1085 Budapest, Hungary (N.Á.)
- Department of Obstetrics and Gynecology, Semmelweis University, 1083 Budapest, Hungary
- Department of Physiology, Semmelweis University, Tűzoltó Str. 37-47, 1094 Budapest, Hungary
| | - Sunjune Park
- Centre for Translational Medicine, Semmelweis University, 1085 Budapest, Hungary (N.Á.)
- Department of Physiology, Semmelweis University, Tűzoltó Str. 37-47, 1094 Budapest, Hungary
| | - Péter Hegyi
- Centre for Translational Medicine, Semmelweis University, 1085 Budapest, Hungary (N.Á.)
- Institute for Translational Medicine, Medical School, University of Pécs, 7621 Pécs, Hungary
- Institute of Pancreatic Diseases, Semmelweis University, 1085 Budapest, Hungary
| | - Péter Nyirády
- Centre for Translational Medicine, Semmelweis University, 1085 Budapest, Hungary (N.Á.)
- Department of Urology, Semmelweis University, 1083 Budapest, Hungary
| | - Nándor Ács
- Centre for Translational Medicine, Semmelweis University, 1085 Budapest, Hungary (N.Á.)
- Department of Obstetrics and Gynecology, Semmelweis University, 1083 Budapest, Hungary
| | - Eszter Mária Horváth
- Department of Physiology, Semmelweis University, Tűzoltó Str. 37-47, 1094 Budapest, Hungary
| | - Szabolcs Várbíró
- Department of Obstetrics and Gynecology, Semmelweis University, 1083 Budapest, Hungary
- Workgroup for Science Management, Doctoral School, Semmelweis University, 1085 Budapest, Hungary
- Department of Obstetrics and Gynecology, University of Szeged, 6725 Szeged, Hungary
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Akinyemi OA, Weldeslase TA, Odusanya E, Akueme NT, Omokhodion OV, Fasokun ME, Makanjuola D, Fakorede M, Ogundipe T. Profiles and Outcomes of Women with Gestational Diabetes Mellitus in the United States. Cureus 2023; 15:e41360. [PMID: 37546039 PMCID: PMC10399637 DOI: 10.7759/cureus.41360] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/03/2023] [Indexed: 08/08/2023] Open
Abstract
Introduction Gestational diabetes mellitus (GDM) is a major contributor to adverse pregnancy outcomes both in the United States and globally. As the prevalence of obesity continues to rise, the incidence of GDM is anticipated to increase as well. Despite the significant impact of GDM on maternal and neonatal health, research examining the independent associations between GDM and adverse outcomes remains limited in the U.S. context. Objective This study aims to address this knowledge gap and further elucidate the relationship between GDM and maternal and neonatal health outcomes. Method We performed a retrospective study using data from the United States Vital Statistics Records, encompassing deliveries that occurred between January 2015 and December 2019. Our analysis aimed to establish the independent association between GDM and various adverse maternal and neonatal outcomes. The multivariate analysis incorporated factors such as maternal socioeconomic demographics, preexisting comorbidities, and conditions during pregnancy to account for potential confounders and elucidate the relationship between GDM and the outcomes of interest. Result Between 2015 and 2019, there were 1,212,589 GDM-related deliveries, accounting for 6.3% of the 19,249,237 total deliveries during the study period. Among women with GDM, 46.4% were Non-Hispanic Whites, 11.4% were Non-Hispanic Blacks, 25.7% were Hispanics, and 16.5% belonged to other racial/ethnic groups. The median age of women with GDM was 31 years, with an interquartile range of 27-35 years. The cesarean section rate among these women was 46.5%. GDM was identified as an independent predictor of adverse maternal and neonatal outcomes, including cesarean section (OR=1.40; 95% CI: 1.39-1.40), maternal blood transfusion (OR=1.15; 95% CI: 1.12-1.18), intensive care unit admission (OR=1.16; 95% CI: 1.10-1.21), neonatal intensive care unit admission (OR=1.53; 95% CI: 1.52-1.54), assisted ventilation (OR=1.37; 95% CI: 1.35-1.39), and low 5-minute Apgar score (OR=1.01; 95% CI: 1.00-1.03). Conclusion GDM serves as an independent risk factor for adverse maternal and neonatal outcomes, emphasizing the importance of early detection and management in pregnant women.
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Affiliation(s)
- Oluwasegun A Akinyemi
- Health Policy and Management, University of Maryland School of Public Health, College Park, USA
- Surgery, Howard University, Washington DC, USA
| | | | - Eunice Odusanya
- Obstetrics and Gynecology, Howard University College of Medicine, Washington DC, USA
| | - Ngozi T Akueme
- Dermatology, University of Medical Sciences Teaching Hospital (UNIMEDTH), Ondo State, NGA
| | | | - Mojisola E Fasokun
- Epidemiology and Public Health, University of Alabama at Birmingham, Birmingham, USA
| | | | - Mary Fakorede
- Family Medicine, Howard University College of Medicine, Washington DC, USA
- Psychiatry, Ladoke Akintola University, Ogbomoso, NGA
| | - Temitayo Ogundipe
- Community and Family Medicine, Howard University Hospital, Washington DC, USA
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8
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Xie X, Liu J, García-Patterson A, Chico A, Mateu-Salat M, Amigó J, Adelantado JM, Corcoy R. Gestational weight gain and pregnancy outcomes in women with type 1 and type 2 diabetes mellitus. Acta Diabetol 2023; 60:621-629. [PMID: 36707439 DOI: 10.1007/s00592-023-02031-0] [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: 11/06/2022] [Accepted: 01/04/2023] [Indexed: 01/29/2023]
Abstract
AIMS We aimed to explore the relationship between gestational weight gain (GWG) after Institute of Medicine (IOM) and pregnancy outcomes in women with type 1 and type 2 diabetes. METHODS Retrospective cohort study at a tertiary medical center (1981-2011). OUTCOME VARIABLES 2 maternal and 14 fetal. Main exposure variable: GWG according to IOM. We calculated crude and adjusted ORs as well as population attributable (PAF) and preventable fractions (PPF) for significant positive and negative associations, respectively. RESULTS We evaluated 633 pregnant women with type 1 or type 2 diabetes. GWG was insufficient (iGWG) in 16.7% and excessive (eGWG) in 50.7%. In the adjusted analysis, GWG according to IOM was significantly associated with maternal outcomes (pregnancy-induced hypertension and cesarean delivery) and four fetal outcomes (large-for-gestational age, macrosomia, small-for-gestational age and neonatal respiratory distress). The association with large-for-gestational age newborns was negative for iGWG (0.48, CI 95% 0.25-0.94) and positive for eGWG (1.76, CI 95% 1.18-2.63). In addition, iGWG was associated with a higher risk of small-for-gestational age newborns and respiratory distress and eGWG with a higher risk of pregnancy-induced hypertension, caesarean delivery and macrosomia. PAF and PPF ranged from the 20.4% PPF of iGWG for large-for-gestational age to 56.5% PAF of eGWG for macrosomia. CONCLUSION In this cohort of women with type 1 or type 2 diabetes, inadequate GWG after IOM was associated with adverse pregnancy outcomes; associations were unfavorable for eGWG and mixed for iGWG. The attributable fractions were not moderate, pointing to the potential impact of modifying inadequate GWG.
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Affiliation(s)
- Xinglei Xie
- Departament de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Barcelona, Spain
| | - Jiaming Liu
- Departament de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Barcelona, Spain
| | - Apolonia García-Patterson
- Institut d'Investigació Biomèdica Sant Pau (IIB Sant Pau), Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - Ana Chico
- Departament de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Barcelona, Spain
- Institut d'Investigació Biomèdica Sant Pau (IIB Sant Pau), Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
- Servei d'Endocrinologia i Nutrició, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
- CIBER-BBN, Madrid, Spain
| | - Manel Mateu-Salat
- Servei d'Endocrinologia i Nutrició, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - Judit Amigó
- Servei d'Endocrinologia i Nutrició, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - Juan María Adelantado
- Servei d'Obstetricia i Ginecologia, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - Rosa Corcoy
- Departament de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Barcelona, Spain.
- Institut d'Investigació Biomèdica Sant Pau (IIB Sant Pau), Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.
- Servei d'Endocrinologia i Nutrició, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.
- CIBER-BBN, Madrid, Spain.
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9
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Semertzidou A, Grout-Smith H, Kalliala I, Garg A, Terzidou V, Marchesi J, MacIntyre D, Bennett P, Tsilidis K, Kyrgiou M. Diabetes and anti-diabetic interventions and the risk of gynaecological and obstetric morbidity: an umbrella review of the literature. BMC Med 2023; 21:152. [PMID: 37072764 PMCID: PMC10114404 DOI: 10.1186/s12916-023-02758-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 01/27/2023] [Indexed: 04/20/2023] Open
Abstract
BACKGROUND Diabetes has reached epidemic proportions in recent years with serious health ramifications. The aim of this study was to evaluate the strength and validity of associations between diabetes and anti-diabetic interventions and the risk of any type of gynaecological or obstetric conditions. METHODS Design: Umbrella review of systematic reviews and meta-analyses. DATA SOURCES PubMed, Medline, Embase, Cochrane Database of Systematic Reviews, manual screening of references. ELIGIBILITY CRITERIA Systematic reviews and meta-analyses of observational and interventional studies investigating the relationship between diabetes and anti-diabetic interventions with gynaecological or obstetric outcomes. Meta-analyses that did not include complete data from individual studies, such as relative risk, 95% confidence intervals, number of cases/controls, or total population were excluded. DATA ANALYSIS The evidence from meta-analyses of observational studies was graded as strong, highly suggestive, suggestive or weak according to criteria comprising the random effects estimate of meta-analyses and their largest study, the number of cases, 95% prediction intervals, I2 heterogeneity index between studies, excess significance bias, small study effect and sensitivity analysis using credibility ceilings. Interventional meta-analyses of randomised controlled trials were assessed separately based on the statistical significance of reported associations, the risk of bias and quality of evidence (GRADE) of included meta-analyses. RESULTS A total of 117 meta-analyses of observational cohort studies and 200 meta-analyses of randomised clinical trials that evaluated 317 outcomes were included. Strong or highly suggestive evidence only supported a positive association between gestational diabetes and caesarean section, large for gestational age babies, major congenital malformations and heart defects and an inverse relationship between metformin use and ovarian cancer incidence. Only a fifth of the randomised controlled trials investigating the effect of anti-diabetic interventions on women's health reached statistical significance and highlighted metformin as a more effective agent than insulin on risk reduction of adverse obstetric outcomes in both gestational and pre-gestational diabetes. CONCLUSIONS Gestational diabetes appears to be strongly associated with a high risk of caesarean section and large for gestational age babies. Weaker associations were demonstrated between diabetes and anti-diabetic interventions with other obstetric and gynaecological outcomes. TRIAL REGISTRATION Open Science Framework (OSF) (Registration https://doi.org/10.17605/OSF.IO/9G6AB ).
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Affiliation(s)
- Anita Semertzidou
- Department of Metabolism, Digestion and Reproduction - Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK
| | - Harriet Grout-Smith
- Department of Metabolism, Digestion and Reproduction - Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK
| | - Ilkka Kalliala
- Department of Metabolism, Digestion and Reproduction - Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK
- Department of Obstetrics and Gynaecology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Akanksha Garg
- Queen Charlotte's and Chelsea - Hammersmith Hospital, Imperial College Healthcare NHS Trust, London, UK
| | - Vasso Terzidou
- Department of Metabolism, Digestion and Reproduction - Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK
- Queen Charlotte's and Chelsea - Hammersmith Hospital, Imperial College Healthcare NHS Trust, London, UK
| | - Julian Marchesi
- Department of Metabolism, Digestion and Reproduction - Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK
- School of Biosciences, Cardiff University, Cardiff, UK
| | - David MacIntyre
- Department of Metabolism, Digestion and Reproduction - Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK
| | - Phillip Bennett
- Department of Metabolism, Digestion and Reproduction - Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK
- Queen Charlotte's and Chelsea - Hammersmith Hospital, Imperial College Healthcare NHS Trust, London, UK
| | - Konstantinos Tsilidis
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Maria Kyrgiou
- Department of Metabolism, Digestion and Reproduction - Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK.
- Queen Charlotte's and Chelsea - Hammersmith Hospital, Imperial College Healthcare NHS Trust, London, UK.
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Dodesini AR, Borella ND, Lepore G, Corsi A, Bonfadini S, Bellante R, Scaranna C, Trevisan R. REAL WORLD INSULIN TREATMENT IN PREGNANT WOMEN WITH TYPE 1 DIABETES USING AN ADVANCED HYBRID CLOSED-LOOP SYSTEM. Diabetes Technol Ther 2023. [PMID: 36930146 DOI: 10.1089/dia.2023.0031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/18/2023]
Abstract
for Letter to Editor is not required.
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Affiliation(s)
| | - Nicolò Diego Borella
- ASST Papa Giovanni XXIII, 9333, Diabetes and endocrinology, piazza OMS,1, Bergamo, Italy, 24127;
| | - Giuseppe Lepore
- Azienda Socio Sanitaria Territoriale Papa Giovanni XXIII Bergamo, USC Malattie Endocrine - Diabetologia, Piazza OMS, 1, Bergamo, Italy, 24127
- United States;
| | - Anna Corsi
- ASST Papa Giovanni XXIII, 9333, Unit of Endocrine Diseases and Diabetology, Bergamo, Lombardia, Italy;
| | | | | | - Cristiana Scaranna
- ASST Papa Giovanni XXIII, 9333, Unit of Endocrine Diseases and Diabetology, Bergamo, Lombardia, Italy;
| | - Roberto Trevisan
- ASST Papa Giovanni XXIII, 9333, Unit of Endocrine Diseases and Diabetology, Bergamo, Lombardia, Italy;
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11
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Levy CJ, Galindo RJ, Parkin CG, Gillis J, Argento NB. All Children Deserve to Be Safe, Mothers Too: Evidence and Rationale Supporting CGM Use in Gestational Diabetes Within the Medicaid Population. J Diabetes Sci Technol 2023:19322968231161317. [PMID: 36919680 DOI: 10.1177/19322968231161317] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/16/2023]
Abstract
Gestational diabetes mellitus (GDM) is a common metabolic disease of pregnancy that threatens the health of several million women and their offspring. The highest prevalence of GDM is seen in women of low socioeconomic status. Women with GDM are at increased risk of adverse maternal outcomes, including increased rates of Cesarean section delivery, preeclampsia, perineal tears, and postpartum hemorrhage. However, of even greater concern is the increased risk to the fetus and long-term health of the child due to elevated glycemia during pregnancy. Although the use of continuous glucose monitoring (CGM) has been shown to reduce the incidence of maternal and fetal complications in pregnant women with type 1 diabetes and type 2 diabetes, most state Medicaid programs do not cover CGM for women with GDM. This article reviews current statistics relevant to the incidence and costs of GDM among Medicaid beneficiaries, summarizes key findings from pregnancy studies using CGM, and presents a rationale for expanding and standardizing CGM coverage for GDM within state Medicaid populations.
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Affiliation(s)
- Carol J Levy
- Division of Endocrinology, Diabetes, and Metabolism, Mount Sinai Diabetes Center, and T1D Clinical Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Rodolfo J Galindo
- Emory University School of Medicine, Atlanta, GA, USA
- Center for Diabetes Metabolism Research, Emory University Hospital Midtown, Atlanta, GA, USA
- Hospital Diabetes Taskforce, Emory Healthcare System, Atlanta, GA, USA
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Finnegan C, Smyth S, Smith O, Dicker P, Breathnach FM. Glycosylated haemoglobin as an indicator of diabetes control in pregnancy: A 10-year review of the relationship between HbA1c trends and delivery outcome in type I and type II diabetes. Eur J Obstet Gynecol Reprod Biol 2023; 281:36-40. [PMID: 36529065 DOI: 10.1016/j.ejogrb.2022.12.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 10/30/2022] [Accepted: 12/05/2022] [Indexed: 12/13/2022]
Abstract
BACKGROUND Pregestational diabetes mellitus (PGDM) confers an increased risk of adverse maternal and neonatal outcomes [1,2]. Glycaemic control in the medium and long term is commonly evaluated by examining glycosylated haemoglobin (HbA1c) levels. However, the value of HbA1c in pregnancy may be diminished by increased level of red cell turnover characteristic of pregnancy [3,4]. We sought to examine the impact of HbA1c in the first trimester and pre-delivery, and the within-patient change throughout gestation on mode of delivery and birthweight in pregnancies complicated by a pre-pregnancy diagnosis of type I or type II diabetes. METHODS A 10-year consecutive cohort of pregnancies complicated by PGDM, from Jan 2010 until Dec 2019, was examined for HbA1c data in the first trimester and within 6 weeks of delivery. Perinatal outcome data, including gestational age at delivery, mode of delivery and birthweight centile, were obtained from hospital records. The Spearman Rank correlation was used to correlate HcA1c levels in the first trimester with birthweight centiles. Non-parametric summaries and rank-based tests, Signed-rank test and Kruskal-Wallis test, were used to compare Hba1c levels. RESULTS During the 10-year study period, a consecutive cohort of 396 pregnancies that attained a viable gestational age (>24 weeks' gestation) and complicated by pregestational diabetes was identified; representing 81 % of the population of pregestational diabetic pregnancies managed by this service during the study period. The median [IQR] HbA1c levels (mmol/mol) in the first trimester, pre-delivery and the differential across gestation were 51 [19] mmol/mol, 43 [11] mmol/mol and -8 [13] mmol/mol, respectively. A statistically significant reduction in HbA1c levels throughout gestation was observed (p < 0.001). The median [IQR] birthweight centile was 69 [50 - 96]. The distributions in HbA1c levels and birthweight centiles were heavily skewed. No correlation was identified between HbA1c levels and mode of delivery. CONCLUSION Neither baseline HbA1c levels, pre-delivery values, nor trends across gestation appear to impact birthweight centile or mode of delivery in PGDM. While optimising glycaemic control can affect the long term health of the mother, these indices cannot be relied upon to reflect the impact of glycaemic control on fetal growth aberrations that influence mode of delivery.
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Affiliation(s)
- Catherine Finnegan
- Department of Obstetrics and Gynaecology, Royal College of Surgeons in Ireland, Rotunda Hospital, Parnell Square, Dublin 1, Ireland.
| | - Suzanne Smyth
- Department of Obstetrics and Gynaecology, Royal College of Surgeons in Ireland, Rotunda Hospital, Parnell Square, Dublin 1, Ireland
| | - Orla Smith
- Department of Obstetrics and Gynaecology, Royal College of Surgeons in Ireland, Rotunda Hospital, Parnell Square, Dublin 1, Ireland
| | - Patrick Dicker
- Department of Obstetrics and Gynaecology, Royal College of Surgeons in Ireland, Rotunda Hospital, Parnell Square, Dublin 1, Ireland
| | - Fionnuala M Breathnach
- Department of Obstetrics and Gynaecology, Royal College of Surgeons in Ireland, Rotunda Hospital, Parnell Square, Dublin 1, Ireland
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Oppermann ML, Campos MA, Hirakata VN, Reichelt AJ. Overt diabetes imposes a comparable burden on outcomes as pregestational diabetes: a cohort study. Diabetol Metab Syndr 2022; 14:177. [PMID: 36419098 PMCID: PMC9685976 DOI: 10.1186/s13098-022-00939-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Accepted: 11/01/2022] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND Women with diabetes first diagnosed during pregnancy (overt diabetes) may be at the same risk level of adverse outcomes as those with known pregestational diabetes. We compared pregnancy outcomes between these groups. METHODS We evaluated pregnant women with type 2 diabetes, pregestational or overt diabetes, attending high risk antenatal care in two public hospitals in Southern Brazil, from May 20, 2005 to June 30, 2021. Outcomes were retrieved from electronic medical records. Risk of adverse outcomes, expressed as relative risk (RR) and 95% confidence interval (CI), were calculated using Poisson regression with robust estimates. RESULTS Of 618 women, 33% were labelled as having overt diabetes and 67%, pregestational diabetes. Baseline maternal characteristics were similar: there was a slight, non-clinically relevant, difference in maternal age (33 ± 5.7 years in women with pregestational diabetes vs. 32 ± 6.0 years in women with overt diabetes, p = 0.004); and women with overt diabetes reported smoking almost twice compared to those with pregestational diabetes (12.3% vs. 6.5%, p = 0.024). There were no relevant differences between the groups regarding pregnancy outcomes, although there was a trend of higher neonatal intensive care admission in the group of women with pregestational diabetes (45.2% vs. 36.1%, p = 0.051). CONCLUSIONS Overt diabetes was diagnosed in one third of this cohort of pregnant women with hyperglycemia. Their pregnancy outcomes were similar to those of women with pregestational diabetes and were mostly related to maternal demographic characteristics and metabolic control. A call to action should be made to identify women of childbearing age at risk for pre-pregnancy diabetes; to detect hyperglycemia before conception; and to implement timely preconception care to all women with diabetes.
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Affiliation(s)
- Maria Lúcia Oppermann
- Serviço de Ginecologia e Obstetrícia, Hospital de Clínicas de Porto Alegre, Ramiro Barcelos, 2350, Porto Alegre, 90035-903 Brazil
- Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Rua Ramiro Barcelos, 2400, Porto Alegre, 90035-003 Brazil
| | - Maria Amélia Campos
- Serviço de Endocrinologia e Metabologia, Hospital Nossa Senhora da Conceição, Av. Francisco Trein, 596, Porto Alegre, 91350-200 Brazil
| | - Vânia Naomi Hirakata
- Unidade de Bioestatística, Hospital de Clínicas de Porto Alegre, Ramiro Barcelos, 2350, Porto Alegre, 90035-903 Brazil
| | - Angela Jacob Reichelt
- Serviço de Endocrinologia e Metabologia, Hospital de Clínicas de Porto Alegre, Centro de Pesquisa Experimental, Ramiro Barcelos, 2350, Prédio 12, 4º. Andar, Porto Alegre, CEP 90035-903 Brazil
- Programa de Pós-Graduação em Ciências Médicas: Endocrinologia, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
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14
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De Robertis V, Calì G, Corbella P, Formigoni C, Iuculano A, Nonino F, Pasquini L, Prefumo F, Sciarrone A, Stampalija T, Taddei F, Volpe N, Volpe P, Frusca T. Referral scan for congenital anomalies: time to agree on indications. ULTRASOUND IN OBSTETRICS & GYNECOLOGY : THE OFFICIAL JOURNAL OF THE INTERNATIONAL SOCIETY OF ULTRASOUND IN OBSTETRICS AND GYNECOLOGY 2022; 60:597-603. [PMID: 35633512 DOI: 10.1002/uog.24950] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 05/17/2022] [Accepted: 05/19/2022] [Indexed: 06/15/2023]
Affiliation(s)
| | - Giuseppe Calì
- Department of Obstetrics and Gynecology, Maternal Fetal Medicine Unit, Palermo, Italy
| | - Paola Corbella
- Maternal Infant Department SC, Obstetrics and Gynecology, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | | | - Ambra Iuculano
- Pathophysiology of Human Reproduction and Prenatal Diagnosis, Microcythemia Hospital Unit "A. CaO", Arnas Brotzu, Cagliari, Italy
| | - Francesco Nonino
- Operative Unit of Epidemiology and Statistics, IRCCS Institute of Neurological Sciences, Bologna, Italy
| | - Lucia Pasquini
- Fetal Medicine Unit, Department for Women and Children Health, Careggi University and Hospital, Florence, Italy
| | - Federico Prefumo
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Andrea Sciarrone
- Obstetrics and Gynecological Ultrasound and Prenatal Diagnosis Center, Citta' della Salute e della Scienza, Turin, Italy
| | - Tamara Stampalija
- Unit of Fetal Medicine and Prenatal Diagnosis, Institute for Maternal and Child Health, IRCCS Burlo Garofolo, University of Trieste, Trieste, Italy
| | - Fabrizio Taddei
- Gynecology and Obstetrics, Rovereto and Trento Hospitals, ASST, Trento, Italy
| | - Nicola Volpe
- Department of Medicine and Surgery, Unit of Surgical Sciences, Obstetrics and Gynecology, University of Parma, Parma, Italy
| | - Paolo Volpe
- Fetal Medicine Unit, Di Venere and Sarcone Hospitals, ASL BA, Bari, Italy
| | - Tiziana Frusca
- Department of Medicine and Surgery, Unit of Surgical Sciences, Obstetrics and Gynecology, University of Parma, Parma, Italy
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15
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Feig DS. Epidemiology and Therapeutic Strategies for Women With Preexisting Diabetes in Pregnancy: How Far Have We Come? The 2021 Norbert Freinkel Award Lecture. Diabetes Care 2022; 45:2484-2491. [PMID: 37579297 DOI: 10.2337/dci21-0027] [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: 08/16/2023]
Abstract
The field of diabetes in pregnancy has witnessed tremendous changes over the past 30 years, with an explosive growth in case numbers along with new and exciting opportunities to affect outcomes. Type 1 diabetes in pregnancy has increased by 40%, but type 2 diabetes in pregnancy, rarely seen 30 years ago, has more than doubled and, in some cases, tripled in prevalence. Compared with women with type 2 diabetes, women with type 1 diabetes have higher HbA1c, more large-for-gestational-age infants, and more preterm births. Women with type 2 diabetes have more chronic hypertension, more socioeconomic deprivation, and higher rates of perinatal mortality. Large randomized trials in women with diabetes in pregnancy have helped us understand the effectiveness of new technologies (i.e., continuous glucose monitoring) in women with type 1 diabetes, and the addition of metformin to insulin in women with type 2 diabetes, in improving pregnancy outcomes. Future endeavors, including artificial pancreas systems in women with type 1 diabetes and the use of continuous glucose monitoring, a better understanding of nutrition during pregnancy, and approaches to improve preconception and pregnancy self-care in women with type 2 diabetes, may lead to further improved outcomes.
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Affiliation(s)
- Denice S Feig
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Lunenfeld-Tanenbaum Research Institute, Toronto, Ontario, Canada
- Sinai Health System, Mount Sinai Hospital, Toronto, Canada
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Abstract
Diabetes is a chronic metabolic disease affecting an increasing number of people. Although diabetes has negative health outcomes for diagnosed individuals, a population at particular risk are pregnant women, as diabetes impacts not only a pregnant woman's health but that of her child. In this review, we cover the current knowledge and unanswered questions on diabetes affecting an expectant mother, focusing on maternal and fetal outcomes.
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Affiliation(s)
- Cecilia González Corona
- Center for Cell and Gene Therapy, Stem Cells and Regenerative Medicine Center, One Baylor Plaza, Houston, TX 77030, USA
| | - Ronald J. Parchem
- Center for Cell and Gene Therapy, Stem Cells and Regenerative Medicine Center, One Baylor Plaza, Houston, TX 77030, USA,Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA
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Fetal Growth and Neonatal Outcomes in Pregestational Diabetes Mellitus in a Population with a High Prevalence of Diabetes. J Pers Med 2022; 12:jpm12081320. [PMID: 36013269 PMCID: PMC9410378 DOI: 10.3390/jpm12081320] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2022] [Revised: 08/08/2022] [Accepted: 08/12/2022] [Indexed: 11/17/2022] Open
Abstract
The aim of this retrospective study, conducted in an Italian tertiary care hospital, was to evaluate maternal-fetal and neonatal clinical outcomes in a group of patients with pregestational diabetes mellitus (PGDM), such as diabetes mellitus type 1 (DM1), diabetes mellitus type 2 (DM2), and maturity onset diabetes of the young (MODY). Overall, 174 pregnant women, nulliparous and multiparous, with a single pregnancy were enrolled. Data on pregnancy, childbirth, and newborns were collected from medical records. The selected patients were divided into two groups: the PGDM group (42 with DM1, 14 with DM2, and 2 with MODY), and the control group (116 patients with a negative pathological history of diabetes mellitus). We reported an incidence of preterm delivery of 55.2% in the PGDM group, including 59.5% of those with DM1 and 42.9% of those with DM2, vs. 6% in the controls. Fetal growth disorders, such as intrauterine growth retardation, small for gestational age, and fetal macrosomia were found in 19% and 3.6% in the case and control groups, respectively. A relationship between DM2 and gestational hypertension was found.
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Gestational age, birth weight, and perinatal complications in mothers with diabetes and impaired glucose tolerance: Japan Environment and Children's Study cohort. PLoS One 2022; 17:e0269610. [PMID: 35666987 PMCID: PMC9170270 DOI: 10.1371/journal.pone.0269610] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 05/24/2022] [Indexed: 12/01/2022] Open
Abstract
We aimed to determine the risk of perinatal complications during delivery in mothers with non-normal glucose tolerance in a large Japanese birth cohort. We analysed data of 24,295 neonate–mother pairs in the Japan Environment and Children’s Study cohort between 2011 and 2014. We included 67 mothers with type 1 diabetes, 102 with type 2 diabetes (determined by questionnaire), 2,045 with gestational diabetes (determined by diagnosis), and 2,949 with plasma glucose levels ≥140 mg/dL (shown by a screening test for gestational diabetes). Gestational age, birth weight, placental weight, and proportions of preterm birth, and labour and neonatal complications at delivery in mothers with diabetes were compared with those in mothers with normal glucose tolerance. Mean gestational age was shorter in mothers with any type of diabetes than in mothers without diabetes. Birth weight tended to be heavier in mothers with type 1 diabetes, and placental weight was significantly heavier in mothers with type 1 and gestational diabetes and elevated plasma glucose levels (all p<0.05). The relative risks of any labour complication and any neonatal complication were 1.49 and 2.28 in type 2 diabetes, 1.59 and 1.95 in gestational diabetes, and 1.22 and 1.30 in a positive screening test result (all p<0.05). The relative risks of preterm birth, gestational hypertension, and neonatal jaundice were significantly higher in mothers with types 1 (2.77; 4.07; 2.04) and 2 diabetes (2.65; 5.84; 1.99) and a positive screening test result (1.29; 1.63; 1.12) than in those without diabetes (all p<0.05). In conclusion, placental weight is heavier in mothers with non-normal glucose tolerance. Preterm birth, gestational hypertension, and jaundice are more frequent in mothers with types 1 and 2 diabetes. A positive result in a screening test for gestational diabetes suggests not only a non-normal glucose tolerance, but also a medium (middle-level) risk of perinatal complications.
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Ye W, Luo C, Huang J, Li C, Liu Z, Liu F. Gestational diabetes mellitus and adverse pregnancy outcomes: systematic review and meta-analysis. BMJ 2022; 377:e067946. [PMID: 35613728 PMCID: PMC9131781 DOI: 10.1136/bmj-2021-067946] [Citation(s) in RCA: 132] [Impact Index Per Article: 66.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
OBJECTIVE To investigate the association between gestational diabetes mellitus and adverse outcomes of pregnancy after adjustment for at least minimal confounding factors. DESIGN Systematic review and meta-analysis. DATA SOURCES Web of Science, PubMed, Medline, and Cochrane Database of Systematic Reviews, from 1 January 1990 to 1 November 2021. REVIEW METHODS Cohort studies and control arms of trials reporting complications of pregnancy in women with gestational diabetes mellitus were eligible for inclusion. Based on the use of insulin, studies were divided into three subgroups: no insulin use (patients never used insulin during the course of the disease), insulin use (different proportions of patients were treated with insulin), and insulin use not reported. Subgroup analyses were performed based on the status of the country (developed or developing), quality of the study, diagnostic criteria, and screening method. Meta-regression models were applied based on the proportion of patients who had received insulin. RESULTS 156 studies with 7 506 061 pregnancies were included, and 50 (32.1%) showed a low or medium risk of bias. In studies with no insulin use, when adjusted for confounders, women with gestational diabetes mellitus had increased odds of caesarean section (odds ratio 1.16, 95% confidence interval 1.03 to 1.32), preterm delivery (1.51, 1.26 to 1.80), low one minute Apgar score (1.43, 1.01 to 2.03), macrosomia (1.70, 1.23 to 2.36), and infant born large for gestational age (1.57, 1.25 to 1.97). In studies with insulin use, when adjusted for confounders, the odds of having an infant large for gestational age (odds ratio 1.61, 1.09 to 2.37), or with respiratory distress syndrome (1.57, 1.19 to 2.08) or neonatal jaundice (1.28, 1.02 to 1.62), or requiring admission to the neonatal intensive care unit (2.29, 1.59 to 3.31), were higher in women with gestational diabetes mellitus than in those without diabetes. No clear evidence was found for differences in the odds of instrumental delivery, shoulder dystocia, postpartum haemorrhage, stillbirth, neonatal death, low five minute Apgar score, low birth weight, and small for gestational age between women with and without gestational diabetes mellitus after adjusting for confounders. Country status, adjustment for body mass index, and screening methods significantly contributed to heterogeneity between studies for several adverse outcomes of pregnancy. CONCLUSIONS When adjusted for confounders, gestational diabetes mellitus was significantly associated with pregnancy complications. The findings contribute to a more comprehensive understanding of the adverse outcomes of pregnancy related to gestational diabetes mellitus. Future primary studies should routinely consider adjusting for a more complete set of prognostic factors. REVIEW REGISTRATION PROSPERO CRD42021265837.
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Affiliation(s)
- Wenrui Ye
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Hypothalamic Pituitary Research Centre, Xiangya Hospital, Central South University, Changsha, China
| | - Cong Luo
- Department of Urology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Jing Huang
- National Clinical Research Centre for Mental Disorders, Second Xiangya Hospital, Central South University, Changsha, Hunan, China
- Department of Psychiatry, Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Chenglong Li
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Zhixiong Liu
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Hypothalamic Pituitary Research Centre, Xiangya Hospital, Central South University, Changsha, China
| | - Fangkun Liu
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Hypothalamic Pituitary Research Centre, Xiangya Hospital, Central South University, Changsha, China
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Coetzee A, Hall DR, Conradie M. Hyperglycemia First Detected in Pregnancy in South Africa: Facts, Gaps, and Opportunities. FRONTIERS IN CLINICAL DIABETES AND HEALTHCARE 2022; 3:895743. [PMID: 36992779 PMCID: PMC10012101 DOI: 10.3389/fcdhc.2022.895743] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Accepted: 04/01/2022] [Indexed: 06/19/2023]
Abstract
This review contextualizes hyperglycemia in pregnancy from a South-African perspective. It aims to create awareness of the importance of hyperglycemia in pregnancy in low-middle-income countries. We address unanswered questions to guide future research on sub-Saharan African women with hyperglycemia first detected in pregnancy (HFDP). South African women of childbearing age have the highest prevalence of obesity in sub-Saharan Africa. They are predisposed to Type 2 diabetes (T2DM), the leading cause of death in South African women. T2DM remains undiagnosed in many African countries, with two-thirds of people living with diabetes unaware. With the South African health policy's increased focus on improving antenatal care, women often gain access to screening for non-communicable diseases for the first time in pregnancy. While screening practices and diagnostic criteria for gestational diabetes mellitus (GDM) differ amongst geographical areas in South Africa (SA), hyperglycemia of varying degrees is often first detected in pregnancy. This is often erroneously ascribed to GDM, irrespective of the degree of hyperglycemia and not overt diabetes. T2DM and GDM convey a graded increased risk for the mother and fetus during and after pregnancy, with cardiometabolic risk accumulating across the lifespan. Resource limitations and high patient burden have hampered the opportunity to implement accessible preventative care in young women at increased risk of developing T2DM in the broader public health system in SA. All women with HFDP, including those with true GDM, should be followed and undergo glucose assessment postpartum. In SA, studies conducted early postpartum have noted persistent hyperglycemia in a third of women after GDM. Interpregnancy care is advantageous and may attain a favourable metabolic legacy in these young women, but the yield of return following delivery is suboptimal. We review the current best evidence regarding HFDP and contextualize the applicability in SA and other African or low-middle-income countries. The review identifies gaps and shares pragmatic solutions regarding clinical factors that may improve awareness, identification, diagnosis, and management of women with HFDP.
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Affiliation(s)
- Ankia Coetzee
- Department of Medicine, Division of Endocrinology Stellenbosch University and Tygerberg Hospital, Cape Town, South Africa
| | - David R. Hall
- Department of Obstetrics and Gynecology, Stellenbosch University and Tygerberg Hospital, Cape Town, South Africa
| | - Magda Conradie
- Department of Medicine, Division of Endocrinology Stellenbosch University and Tygerberg Hospital, Cape Town, South Africa
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Lapolla A, Burlina S, Dalfrà MG. Comment: Characteristics and outcomes of pregnant women with type 1 or type 2 diabetes-a 5-year national population-based cohort study. J Endocrinol Invest 2022; 45:221-224. [PMID: 34231189 DOI: 10.1007/s40618-021-01622-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Accepted: 06/20/2021] [Indexed: 10/20/2022]
Affiliation(s)
- A Lapolla
- Department of Medicine, Padova University, Via Giustiniani n 2, 3510, Padua, Italy.
| | - S Burlina
- Department of Medicine, Padova University, Via Giustiniani n 2, 3510, Padua, Italy
| | - M G Dalfrà
- Department of Medicine, Padova University, Via Giustiniani n 2, 3510, Padua, Italy
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Gualdani E, Di Cianni G, Seghieri M, Francesconi P, Seghieri G. Pregnancy outcomes and maternal characteristics in women with pregestational and gestational diabetes: a retrospective study on 206,917 singleton live births. Acta Diabetol 2021; 58:1169-1176. [PMID: 33835261 DOI: 10.1007/s00592-021-01710-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Accepted: 03/20/2021] [Indexed: 12/27/2022]
Abstract
AIMS To examine risk of adverse pregnancy outcomes, mothers' characteristics and incidence rate over time of pregestational type 1 (T1D), type 2 (T2D) or gestational diabetes (GDM). METHODS The study included all singleton live births born from women aged 15-45 year, in Tuscany, Italy from 2010 to 2018. Pregnancy outcomes were retrieved by certificates of care at delivery compiled by midwives. Pregestational diabetes and GDM were identified by regional administrative databases. Time course of pregestational diabetes and GDM across last decade was assessed by Poisson analysis. Logistic regression analysis was used to calculate adjusted odds ratios (OR; 95% CI) for maternal characteristics or neonatal outcomes. RESULTS Among 206,917 singleton live births, GDM was diagnosed in 21,613 pregnancies (10.46%) and pregestational diabetes in 979, being T2D more prevalent than T1D (606; 0.29% vs. 373; 0.18%). Pregestational T2D incidence progressively decreased over last decade, T1D remained stable while GDM progressively rose. Pre-pregnancy obesity, preterm deliveries or cesarean sections were common characteristics of pregestational diabetes and GDM. Risk of neonatal distress and neonatal malformations was higher in pregestational T1D. Risk of prior spontaneous abortions was higher in GDM and in pregestational T2D (OR: 4.19; 3.30-5.33), mostly treated with metformin. Risk of neonatal macrosomia was increased only in pregestational diabetes. CONCLUSIONS In our population, pregestational T2D was more prevalent than T1D. Neonatal complications were mostly associated with pregestational T1D. Increased risk of previous spontaneous abortions was the hallmark of pregestational T2D. GDM, even if sharing adverse outcomes with pregestational T2D, was unrelated to rise in risk of neonatal macrosomia.
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Affiliation(s)
- Elisa Gualdani
- Epidemiology Unit, Regional Health Agency of Tuscany, Via Pietro Dazzi 1, 50141, Florence, Italy
| | - Graziano Di Cianni
- Diabetes and Metabolic Diseases Unit, Health Local Unit North-West Tuscany, Livorno, Italy
| | - Marta Seghieri
- Diabetes and Metabolic Diseases Unit, "San Giovanni Di Dio" Hospital, Florence, Italy
| | - Paolo Francesconi
- Epidemiology Unit, Regional Health Agency of Tuscany, Via Pietro Dazzi 1, 50141, Florence, Italy
| | - Giuseppe Seghieri
- Epidemiology Unit, Regional Health Agency of Tuscany, Via Pietro Dazzi 1, 50141, Florence, Italy.
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Liao MC, Pang YC, Chang SY, Zhao XP, Chenier I, Ingelfinger JR, Chan JSD, Zhang SL. AT 2R deficiency in mice accelerates podocyte dysfunction in diabetic progeny in a sex-dependent manner. Diabetologia 2021; 64:2108-2121. [PMID: 34047808 DOI: 10.1007/s00125-021-05483-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2020] [Accepted: 03/11/2021] [Indexed: 10/21/2022]
Abstract
AIMS/HYPOTHESIS The angiotensin II receptor type 2 (AT2R) may be a potential therapeutic target for the treatment of hypertension and chronic kidney disease (CKD). The expression and function of AT2R in the vasculature and kidney appear sexually dimorphic. We hypothesised that Agtr2 knockout dams (AT2RKO) with gestational diabetes would program their offspring for subsequent hypertension and CKD in a sex-dependent manner. METHODS Age- and sex-matched offspring of non-diabetic and diabetic dams of wild-type (WT) and AT2RKO mice were followed from 4 to 20 weeks of age and were monitored for development of hypertension and nephropathy; a mouse podocyte cell line (mPOD) was also studied. RESULTS Body weight was progressively lower in female compared with male offspring throughout the lifespan. Female but not male offspring from diabetic AT2RKO dams developed insulin resistance. Compared with the offspring of non-diabetic dams, the progeny of diabetic dams had developed more hypertension and nephropathy (apparent glomerulosclerosis with podocyte loss) at 20 weeks of age; this programming was more pronounced in the offspring of AT2RKO diabetic dams, particularly female AT2RKO progeny. Female AT2RKO offspring had lower basal ACE2 glomerular expression, resulting in podocyte loss. The aberrant ACE2/ACE ratio was far more diminished in glomeruli of female progeny of diabetic AT2RKO dams than in male progeny. Knock-down of Agtr2 in mPODs confirmed the in vivo data. CONCLUSIONS/INTERPRETATION AT2R deficiency accelerated kidney programming in female progeny of diabetic dams, possibly due to loss of protective effects of ACE2 expression in the kidney.
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Affiliation(s)
- Min-Chun Liao
- Université de Montréal, Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC, Canada
| | - Yu-Chao Pang
- Université de Montréal, Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC, Canada
| | - Shiao-Ying Chang
- Université de Montréal, Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC, Canada
| | - Xin-Ping Zhao
- Université de Montréal, Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC, Canada
| | - Isabelle Chenier
- Université de Montréal, Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC, Canada
| | - Julie R Ingelfinger
- Pediatric Nephrology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - John S D Chan
- Université de Montréal, Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC, Canada
| | - Shao-Ling Zhang
- Université de Montréal, Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC, Canada.
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Abstract
Continuous glucose monitoring (CGM) is being used with increasing frequency as an adjunct to self-monitoring of blood glucose in pregnancy, and novel targets based on CGM data are becoming standardized. This adoption of CGM is the result of its improving accuracy, patient preference, and evolving data demonstrating associations of novel targets such as time in range (TIR) with pregnancy and neonatal outcomes. A greater understanding of the relationship of various CGM metrics to outcomes in pregnancy complicated by diabetes is needed. It is clear that TIR parameters need to be uniquely lower for pregnant women than for nonpregnant individuals. CGM technology is also an integral part of hybrid closed-loop insulin delivery systems. These insulin delivery systems will be a significant advance in the management of diabetes during pregnancy if they can achieve the pre- and postprandial targets required for pregnancy and optimize TIR.
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Molecular Mechanisms of Maternal Diabetes Effects on Fetal and Neonatal Surfactant. CHILDREN-BASEL 2021; 8:children8040281. [PMID: 33917547 PMCID: PMC8067463 DOI: 10.3390/children8040281] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Revised: 03/25/2021] [Accepted: 04/02/2021] [Indexed: 12/29/2022]
Abstract
Respiratory distress is a significant contributor to newborn morbidity and mortality. An association between infants of diabetic mothers (IDMs) and respiratory distress syndrome (RDS) has been well recognized for decades. As obesity and diabetes prevalence have increased over the past several decades, more women are overweight and diabetic in the first trimester, and many more pregnant women are diagnosed with gestational diabetes. Glycemic control during pregnancy can be challenging due to the maternal need for higher caloric intake and higher insulin resistance. Surfactant is a complex molecule at the alveolar air–liquid interface that reduces surface tension. Impaired surfactant synthesis is the primary etiology of RDS. In vitro cell line studies, in vivo animal studies with diabetic rat offspring, and clinical studies suggest hyperglycemia and hyperinsulinemia can disrupt surfactant lipid and protein synthesis, causing delayed maturation in surfactant in IDMs. A better understanding of the molecular mechanisms responsible for surfactant dysfunction in IDMs may improve clinical strategies to prevent diabetes-related complications and improve neonatal outcomes.
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Dude AM, Badreldin N, Schieler A, Yee LM. Periconception glycemic control and congenital anomalies in women with pregestational diabetes. BMJ Open Diabetes Res Care 2021; 9:9/1/e001966. [PMID: 33888543 PMCID: PMC8070859 DOI: 10.1136/bmjdrc-2020-001966] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Revised: 03/16/2021] [Accepted: 03/21/2021] [Indexed: 12/03/2022] Open
Abstract
INTRODUCTION To assess the relationship between periconception glycemic control and congenital anomalies in a contemporary, diverse population of women with pregestational diabetes. RESEARCH DESIGN AND METHODS This is a retrospective cohort study of all pregnant women with pregestational diabetes at a single institution (2003-2017) in the USA. The primary outcome was frequency of major or minor congenital anomalies. Glycemic control was assessed by periconception glycosylated hemoglobin (HbA1c). The association of periconception HbA1c with pregnancy outcomes was assessed using bivariable and multivariable analyses. RESULTS Our sample included 351 women, of which 63.8% had type 2 diabetes. Our study cohort is racially and ethnically diverse, with approximately equal numbers of women identifying as white non-Hispanic, black non-Hispanic and Hispanic, with 3.4% identifying as Asian. Of these 351 women, 52 (14.8%) had a fetus with a congenital anomaly, of whom the majority (n=43) had a major anomaly. Over half (51.1%) of all major anomalies were cardiovascular. Compared with the group with the best glycemic control (HbA1c ≤7.4%), which had an anomaly frequency of 10.2%, the frequency of congenital anomalies increased significantly with each category of worsening glycemic control (HbA1c 7.5%-9.4%: 20.6%, adjusted OR (aOR) 2.35, 95% confidence interval (CI) 1.08 to 5.13; HbA1c 9.5% to 11.4%: 25.8%, aOR 2.86, 95% CI 1.08 to 7.59; HbA1c ≥11.5%: 37.5%, aOR 7.66, 95% CI 2.27 to 25.9). CONCLUSION In a diverse cohort of women with pregestational diabetes, higher periconception HbA1c, especially HbA1c >9.5, was significantly associated with major congenital fetal anomalies. Our study sample is reflective of the current population of pregnant women with diabetes, including women with type 2 diabetes and from racial and ethnic minorities.
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Affiliation(s)
- Annie M Dude
- Department of Obstetrics & Gynecology, University of Chicago Pritzker School of Medicine, Chicago, Illinois, USA
| | - Nevert Badreldin
- Department of Obstetrics & Gynecology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Amanda Schieler
- Department of Obstetrics & Gynecology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Lynn M Yee
- Department of Obstetrics & Gynecology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
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Guarnotta V, Mineo MI, Giacchetto E, Imbergamo MP, Giordano C. Maternal-foetal complications in pregnancy: a retrospective comparison between type 1 and type 2 diabetes mellitus. BMC Pregnancy Childbirth 2021; 21:243. [PMID: 33752628 PMCID: PMC7986522 DOI: 10.1186/s12884-021-03702-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2020] [Accepted: 03/05/2021] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND The aim of the study was a retrospective comparison of the differences in maternal-foetal outcomes between women with type 1 and type 2 diabetes mellitus (T1DM and T2DM). METHODS A cohort of 135 patients with pregestational diabetes, 73 with T1DM (mean age 29 ± 5 years) and 62 with T2DM (mean age 33 ± 6 years), in intensive insulin treatment throughout pregnancy were evaluated. Clinical and metabolic parameters and the prevalence of maternal and foetal complications were assessed. RESULTS Women with T1DM showed lower pregestational BMI (p < 0.001), pregestational weight (p < 0.001), weight at delivery (p < 0.001), ∆_total_insulin requirement (IR) at the first, second and third trimesters (all p < 0.001) and higher weight gain during pregnancy (p < 0.001), pregestational HbA1c (p = 0.040), HbA1c in the first (p = 0.004), second (p = 0.020) and third (p = 0.010) trimesters compared to T2DM. Women with T1DM had a higher risk of macrosomia (p = 0.005) than T2DM, while women with T2DM showed higher prevalence of abortion (p = 0.037) than T1DM. At multivariate analysis, pregestational BMI and ∆_total_IR of the first trimester were independently associated with abortion in T2DM, while weight gain during pregnancy was independently associated with macrosomia in T1DM. CONCLUSION Women with T1DM have a higher risk of macrosomia than T2DM due to weight gain throughout pregnancy. By contrast, women with T2DM have a higher risk of spontaneous abortion than T1DM, due to pregestational BMI and ∆_total_IR in the first trimester.
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Affiliation(s)
- Valentina Guarnotta
- Dipartimento di Promozione della Salute, Materno-Infantile, Medicina Interna e Specialistica di Eccellenza "G. D'Alessandro" (PROMISE), Sezione di Malattie Endocrine, del Ricambio e della Nutrizione, Università di Palermo, Piazza delle Cliniche 2, 90127, Palermo, Italy
| | - Mariagrazia Irene Mineo
- Dipartimento di Promozione della Salute, Materno-Infantile, Medicina Interna e Specialistica di Eccellenza "G. D'Alessandro" (PROMISE), Sezione di Malattie Endocrine, del Ricambio e della Nutrizione, Università di Palermo, Piazza delle Cliniche 2, 90127, Palermo, Italy
| | - Emanuela Giacchetto
- Dipartimento di Promozione della Salute, Materno-Infantile, Medicina Interna e Specialistica di Eccellenza "G. D'Alessandro" (PROMISE), Sezione di Malattie Endocrine, del Ricambio e della Nutrizione, Università di Palermo, Piazza delle Cliniche 2, 90127, Palermo, Italy
| | - Maria Pia Imbergamo
- Dipartimento di Promozione della Salute, Materno-Infantile, Medicina Interna e Specialistica di Eccellenza "G. D'Alessandro" (PROMISE), Sezione di Malattie Endocrine, del Ricambio e della Nutrizione, Università di Palermo, Piazza delle Cliniche 2, 90127, Palermo, Italy
| | - Carla Giordano
- Dipartimento di Promozione della Salute, Materno-Infantile, Medicina Interna e Specialistica di Eccellenza "G. D'Alessandro" (PROMISE), Sezione di Malattie Endocrine, del Ricambio e della Nutrizione, Università di Palermo, Piazza delle Cliniche 2, 90127, Palermo, Italy.
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Pundyk KJ, Sellers EAC, Kroeker K, Wicklow BA. Transition of Youth With Type 2 Diabetes: Predictors of Health-Care Utilization After Transition to Adult Care From Population-Based Administrative Data. Can J Diabetes 2021; 45:451-457. [PMID: 34001461 DOI: 10.1016/j.jcjd.2021.03.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Revised: 01/25/2021] [Accepted: 03/02/2021] [Indexed: 10/21/2022]
Abstract
OBJECTIVES In this study, we aimed to compare health-care visits pre- and posttransition from pediatric to adult care between youth with type 2 and type 1 diabetes. METHODS We linked a clinical database with the Manitoba Population Research Data Repository to compare health-care visits 2 years before and after transition, and investigated baseline factors influencing health-care engagement. RESULTS Youth with type 2 diabetes (n=196) vs type 1 diabetes (n=456) were more likely to be female (61% vs 44%), older at diagnosis (13.6 vs 10.6 years), live in northern regions and to be in the lowest socioeconomic status quartile (53% vs 5.4%). Seventy-six percent of youth with type 2 diabetes attended a follow-up visit within 2 years of transition compared to 97% of youth with type 1 diabetes. Youth with type 2 diabetes had higher rates of hospitalization pretransition (19.6 vs 11.6 admissions/100 patient years) and posttransition (24.7 vs 11.7 admissions/100 patient years) and fewer medical visits (pretransition: 2.4 vs 3.0 visits/person year [p<0.01]; posttransition: 1.6 vs 2.1 visits/person year [p<0.01]). Accounting for sex, geography, age, education, socioeconomic status and diabetes type, achieving 4 visits in 2 years posttransition was predicted by the number of visits pretransition (odds ratio, 1.35; 95% confidence interval, 1.23 to 1.49) and diabetes type (type 2 diabetes: odds ratio, 0.57; 95% confidence interval, 0.34 to 0.98). CONCLUSIONS Youth with type 2 diabetes attend fewer medical follow-up visits pre- and posttransition to adult care compared to youth with type 1 diabetes. Focused, informed, specific transition planning is needed that addresses the unique characteristics of this population.
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Affiliation(s)
- Katherine J Pundyk
- Department of Pediatrics and Child Health, University of Manitoba, Winnipeg, Manitoba, Canada.
| | - Elizabeth A C Sellers
- Department of Pediatrics and Child Health, University of Manitoba, Winnipeg, Manitoba, Canada; Children's Hospital Research Institute of Manitoba, Winnipeg, Manitoba, Canada
| | - Kristine Kroeker
- George and Fay Yee Centre for Healthcare Innovation, Winnipeg, Manitoba, Canada
| | - Brandy A Wicklow
- Department of Pediatrics and Child Health, University of Manitoba, Winnipeg, Manitoba, Canada; Children's Hospital Research Institute of Manitoba, Winnipeg, Manitoba, Canada
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Murphy HR, Howgate C, O'Keefe J, Myers J, Morgan M, Coleman MA, Jolly M, Valabhji J, Scott EM, Knighton P, Young B, Lewis-Barned N. Characteristics and outcomes of pregnant women with type 1 or type 2 diabetes: a 5-year national population-based cohort study. Lancet Diabetes Endocrinol 2021; 9:153-164. [PMID: 33516295 DOI: 10.1016/s2213-8587(20)30406-x] [Citation(s) in RCA: 113] [Impact Index Per Article: 37.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Revised: 11/18/2020] [Accepted: 11/21/2020] [Indexed: 11/20/2022]
Abstract
BACKGROUND Diabetes in pregnancy is associated with preterm delivery, birthweight extremes, and increased rates of congenital anomaly, stillbirth, and neonatal death. We aimed to identify and compare modifiable risk factors associated with adverse pregnancy outcomes in women with type 1 diabetes and those with type 2 diabetes and to identify effective maternity clinics. METHODS In this national population-based cohort study, we used data for pregnancies among women with type 1 or type 2 diabetes collected in the first 5 years of the National Pregnancy in Diabetes audit across 172 maternity clinics in England, Wales, and the Isle of Man, UK. Data for obstetric complications (eg, preterm delivery [<37 weeks' gestation], large for gestational age [LGA] birthweight [>90th percentile]) and adverse pregnancy outcomes (congenital anomaly, stillbirth, neonatal death) were obtained for pregnancies completed between Jan 1, 2014, and Dec 31, 2018. We assessed associations between modifiable (eg, HbA1c, BMI, pre-pregnancy care, maternity clinic) and non-modifiable risk factors (eg, age, ethnicity, deprivation, duration of type 1 diabetes) with pregnancy outcomes in women with type 1 diabetes compared with those with type 2 diabetes. We calculated associations between maternal factors and perinatal deaths using a regression model, including diabetes type and duration, maternal age, BMI, deprivation quintile, first trimester HbA1c, preconception folic acid, potentially harmful medications, and third trimester HbA1c. FINDINGS Our dataset included 17 375 pregnancy outcomes in 15 290 pregnant women. 8690 (50·0%) of 17 375 pregnancies were in women with type 1 diabetes (median age at delivery 30 years [10-90th percentile 22-37], median duration of diabetes 13 years [3-25]) and 8685 (50·0%) were in women with type 2 diabetes (median age at delivery 34 years [27-41], median duration of diabetes 3 years [0-10]). The rates of preterm delivery (3325 [42·5%] of 7825 pregnancies among women with type 1 diabetes, 1825 [23·4%] of 7815 with type 2 diabetes; p<0·0001), and LGA birthweight (4095 [52·2%] of 7845 with type 1 diabetes, 2065 [26·2%] of 7885 with type 2 diabetes; p<0·0001) were higher in type 1 diabetes. The prevalence of congenital anomaly (among women with type 1 diabetes: 44·8 per 1000 livebirths, terminations, and fetal losses; among women with type 2 diabetes: 40·5 per 1000 livebirths, terminations, and fetal losses; p=0·17) and stillbirth (type 1 diabetes: 10·4 per 1000 livebirths and stillbirths; type 2 diabetes: 13·5 per 1000 livebirths and stillbirths; p=0·072) did not significantly differ between diabetes types, but rates of neonatal death were higher in mothers with type 2 diabetes than in those with type 1 diabetes (type 1 diabetes: 7·4 per 1000 livebirths; type 2 diabetes 11·2 per 1000 livebirths; p=0·013). Across the whole study population, independent risk factors for perinatal death (ie, stillbirth or neonatal death) were third trimester HbA1c of 6·5% (48 mmol/mol) or higher (odds ratio 3·06 [95% CI 2·16-4·33] vs HbA1c <6·5%), being in the highest deprivation quintile (2·29 [1·16-4·52] vs the lowest quintile), and having type 2 diabetes (1·65 [1·18-2·31] vs type 1 diabetes). Variations in HbA1c and LGA birthweight were associated with maternal characteristics (age, diabetes duration, deprivation, BMI) without substantial differences between maternity clinics. INTERPRETATION Our data highlight persistent adverse pregnancy outcomes in women with type 1 or type 2 diabetes. Maternal glycaemia and BMI are the key modifiable risk factors. No maternity clinics were had appreciably better outcomes than any others, suggesting that health-care system changes are needed across all clinics. FUNDING None.
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Affiliation(s)
- Helen R Murphy
- Norwich Medical School, University of East Anglia, Norwich, UK; Division of Women's Health, St Thomas' Campus, King's College London, UK; Elsie Bertram Diabetes Centre, Norfolk and Norwich University Hospital, Norwich, UK.
| | - Carla Howgate
- Clinical Audit and Registries Management Service (CARMS), NHS Digital, Leeds, UK
| | - Jackie O'Keefe
- Clinical Audit and Registries Management Service (CARMS), NHS Digital, Leeds, UK
| | - Jenny Myers
- Maternal and Fetal Health Research Centre, St Mary's Hospital, Manchester, UK
| | - Margery Morgan
- Department of Obstetrics, Singleton Hospital, Swansea Bay University Health Board, Swansea, UK
| | - Matthew A Coleman
- Princess Anne Hospital, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | | | - Jonathan Valabhji
- NHS England and NHS Improvement, London, UK; Department of Diabetes and Endocrinology, St Mary's Hospital, Imperial College Healthcare NHS Trust, London, UK; Division of Diabetes, Endocrinology and Metabolism, Imperial College London, London, UK
| | - Eleanor M Scott
- Division of Clinical and Population Sciences, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
| | - Peter Knighton
- Clinical Audit and Registries Management Service (CARMS), NHS Digital, Leeds, UK
| | - Bob Young
- National Diabetes Audit, NHS Digital, Leeds, UK
| | - Nick Lewis-Barned
- Department of Diabetes and Endocrinology, Northumbria Healthcare NHS Foundation Trust, Northumberland, UK
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Thong EP, Burden C. The Double Whammy of Obesity and Diabetes on Female Reproductive Health. Semin Reprod Med 2021; 38:333-341. [PMID: 33598908 DOI: 10.1055/s-0041-1723777] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
The rising global prevalence of obesity and diabetes, especially in youth, confers substantial metabolic consequences and increased mortality in affected individuals. While obesity is strongly tied to the development of insulin resistance and type 2 diabetes, emerging evidence shows that obesity rates are also increasing exponentially in those with type 1 diabetes, contributing to insulin resistance and cardiometabolic sequelae. In addition, both obesity and diabetes can exert adverse effects on female reproductive health independently, with the presence of both conditions likely to exacerbate reproductive dysfunction in this cohort. If the current trends in obesity and diabetes incidence persist, it is likely that more women will be at risk of obesity- and diabetes-related reproductive disorders. This review aims to describe the epidemiology and mechanisms of obesity in women with diabetes, and summarize current literature regarding reproductive disorders in diabetes and weight management strategies in this cohort.
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Affiliation(s)
- Eleanor P Thong
- Monash Centre for Health Research and Implementation, Monash University, Melbourne, Australia.,Department of Diabetes and Vascular Medicine, Monash Health, Melbourne, Australia
| | - Christy Burden
- Faculty of Health Sciences, University of Bristol, Bristol, United Kingdom
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Dabelea D, Sauder KA, Jensen ET, Mottl AK, Huang A, Pihoker C, Hamman RF, Lawrence J, Dolan LM, Agostino RD, Wagenknecht L, Mayer-Davis EJ, Marcovina SM. Twenty years of pediatric diabetes surveillance: what do we know and why it matters. Ann N Y Acad Sci 2021; 1495:99-120. [PMID: 33543783 DOI: 10.1111/nyas.14573] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 01/14/2021] [Accepted: 01/20/2021] [Indexed: 12/23/2022]
Abstract
SEARCH for Diabetes in Youth (SEARCH) was initiated in 2000 as a multicenter study to address major gaps in the understanding of childhood diabetes in the United States. An active registry of youth diagnosed with diabetes at age <20 years since 2002 assessed prevalence, annual incidence, and trends by age, race/ethnicity, sex, and diabetes type. An observational cohort nested within the population-based registry was established to assess the natural history and risk factors for acute and chronic diabetes-related complications, as well as the quality of care and quality of life of children and adolescents with diabetes from diagnosis into young adulthood. SEARCH findings have contributed to a better understanding of the complex and heterogeneous nature of youth-onset diabetes. Continued surveillance of the burden and risk of type 1 and type 2 diabetes is important to track and monitor incidence and prevalence within the population. SEARCH reported evidence of early diabetes complications highlighting that continuing the long-term follow-up of youth with diabetes is necessary to further our understanding of its natural history and to develop the most appropriate approaches to primary, secondary, and tertiary prevention of diabetes and its complications. This review summarizes two decades of research and suggests avenues for further work.
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Affiliation(s)
- Dana Dabelea
- Lifecourse Epidemiology of Adiposity and Diabetes Center, Department of Epidemiology and Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Katherine A Sauder
- Lifecourse Epidemiology of Adiposity and Diabetes Center, Department of Epidemiology and Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Elizabeth T Jensen
- Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Amy K Mottl
- Division of Nephrology and Hypertension, University of North Carolina School of Medicine, Chapel Hill, North Carolina
| | - Alyssa Huang
- Department of Pediatrics, University of Washington, Seattle, Washington
| | - Catherine Pihoker
- Department of Pediatrics, University of Washington, Seattle, Washington
| | - Richard F Hamman
- Lifecourse Epidemiology of Adiposity and Diabetes Center, Department of Epidemiology and Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Jean Lawrence
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California
| | - Lawrence M Dolan
- Division of Endocrinology, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, Ohio
| | - Ralph D' Agostino
- Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Lynne Wagenknecht
- Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Elizabeth J Mayer-Davis
- Department of Nutrition and Medicine, University of North Carolina, Chapel Hill, North Carolina
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Lu M, Sferruzzi-Perri AN. Placental mitochondrial function in response to gestational exposures. Placenta 2021; 104:124-137. [PMID: 33338764 DOI: 10.1016/j.placenta.2020.11.012] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Revised: 11/25/2020] [Accepted: 11/29/2020] [Indexed: 02/07/2023]
Abstract
Poor environmental conditions, including malnutrition, hypoxia and obesity in the mother increase the risk of pregnancy complications, such as pre-eclampsia and gestational diabetes mellitus, which impacts the lifelong health of the mother and her offspring. The placenta plays an important role in determining pregnancy outcome by acting as an exchange interface and endocrine hub to support fetal growth. Mitochondria are energy powerhouses of cells that fuel placental physiology throughout pregnancy, including placental development, substrate exchange and hormone secretion. They are responsive to environmental cues and changes in mitochondrial function may serve to mediate or mitigate the impacts of poor gestational environments on placental physiology and hence, the risks of pregnancy complications. Thus, a more integrated understanding about the role of placental mitochondria in orchestrating changes in relation to environmental conditions and pregnancy outcome is paramount. This review summarises the functions of mitochondria in the placenta and findings from humans and experimental animals that demonstrate how mitochondrial structure and function are altered in different gestational environments (namely complicated pregnancies and adverse environmental conditions). Together the available data suggest that mitochondria in the placenta play a major role in determining placental physiology, fetal growth and pregnancy outcome.
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Affiliation(s)
- Minhui Lu
- Centre for Trophoblast Research, Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
| | - Amanda Nancy Sferruzzi-Perri
- Centre for Trophoblast Research, Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK.
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Jadresić L, Au H, Woodhouse C, Nitsch D. Pre-pregnancy obesity and risk of congenital abnormalities of the kidney and urinary tract (CAKUT)-systematic review, meta-analysis and ecological study. Pediatr Nephrol 2021; 36:119-132. [PMID: 32596798 DOI: 10.1007/s00467-020-04679-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Revised: 06/12/2020] [Accepted: 06/16/2020] [Indexed: 02/08/2023]
Abstract
BACKGROUND There is increasing evidence that maternal obesity is associated with several structural birth defects. Congenital abnormalities of the kidney and urinary tract (CAKUT) account for 30 to 50% of children starting kidney replacement therapy (KRT). We conducted a systematic review, meta-analysis and ecological study to explore the relationship between maternal obesity and CAKUT. METHODS A systematic literature search was conducted in EMBASE, MEDLINE, Global Health, The Cochrane Library, Scopus and Web of Science. Study quality was assessed for bias and confounding. A meta-analysis using a random effect model was carried out to obtain a summary odds ratio (OR) and 95% confidence interval (CI). In the ecological study, country-level data were used to examine the correlation of secular trends in female obesity, CAKUT incidence and incidence of KRT. RESULTS Eight epidemiological studies were included in the review-4 cohort studies and 4 case-control studies-7 of which were included in the meta-analysis. There was evidence of a positive association between obesity during pregnancy and the risk of CAKUT, with a summary OR = 1.14 (1.02-1.27). No association was seen with overweight, nor a dose response with increasing obesity. There was an increasing trend in countries' proportion of female obesity and an increasing trend in reported CAKUT incidence with specific rises seen in congenital hydronephrosis (CH) and multicystic kidney dysplasia (MCKD). CONCLUSIONS Our findings suggest that pre-pregnancy obesity may be associated with increased risk of CAKUT at population level. Graphical abstract.
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Affiliation(s)
- Lyda Jadresić
- Department of Paediatrics, Gloucestershire Hospitals NHS Foundation Trust, Gloucester, England.
| | - Howard Au
- University of Hong Kong, Pok Fu Lam, Hong Kong
| | | | - Dorothea Nitsch
- Department of Non-Communicable Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK
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Battarbee AN, Cavallini M, Keller C, Boggess KA. Missed Opportunities for Early Diabetes Screening in Pregnancy. Am J Perinatol 2021; 38:23-27. [PMID: 31421638 DOI: 10.1055/s-0039-1694727] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
OBJECTIVE This study aimed to identify characteristics of women at risk of undiagnosed type 2 diabetes mellitus (T2DM) that fail to receive early pregnancy screening. STUDY DESIGN This was a retrospective case-control study of at-risk women who initiated care at the University of North Carolina at Chapel Hill at <21 weeks from January 2015 to December 2015. In 2013, the American College of Obstetricians and Gynecologists and the American Diabetes Association recommended women with prior GDM, glucose intolerance, or body mass index (BMI) ≥ 30 kg/m2 receive early pregnancy screening for undiagnosed T2DM. We defined early screening as 1-hour 50-g glucose challenge test or hemoglobin A1c at <21 weeks' gestation. Cases were women who did not have early screening, and controls were women who did. Modified Poisson regression with robust error variance estimated relative risks of factors associated with missed early screening. RESULTS Of the 1,932 women who initiated care at <21 weeks, 257 (13%) women were at risk of undiagnosed T2DM and, thus, candidates for early screening. However, 129 (50.2%) women were not screened. Higher BMI and prior GDM were associated with a lower relative risk of missed screening. CONCLUSION Higher BMI and prior GDM increased the likelihood of early diabetes screening, but only half of at-risk women were screened. Provider education and best practice alert systems are needed to increase screening for undiagnosed T2DM.
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Affiliation(s)
- Ashley N Battarbee
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of North Carolina School of Medicine, Chapel Hill, North Carolina
| | - Maximiliano Cavallini
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of North Carolina School of Medicine, Chapel Hill, North Carolina
| | - Catherine Keller
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of North Carolina School of Medicine, Chapel Hill, North Carolina
| | - Kim A Boggess
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of North Carolina School of Medicine, Chapel Hill, North Carolina
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Egan AM, Dow ML, Vella A. A Review of the Pathophysiology and Management of Diabetes in Pregnancy. Mayo Clin Proc 2020; 95:2734-2746. [PMID: 32736942 DOI: 10.1016/j.mayocp.2020.02.019] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2019] [Revised: 01/24/2020] [Accepted: 02/18/2020] [Indexed: 12/13/2022]
Abstract
Diabetes is a common metabolic complication of pregnancy and affected women fall into two subgroups: women with pre-existing diabetes and those with gestational diabetes mellitus (GDM). When pregnancy is affected by diabetes, both mother and infant are at increased risk for multiple adverse outcomes. A multidisciplinary approach to care before, during, and after pregnancy is effective in reducing these risks. The PubMed database was searched for English language studies and guidelines relating to diabetes in pregnancy. The following search terms were used alone and in combination: diabetes, pregnancy, gestational diabetes, GDM, prepregnancy, and preconception. A date restriction was not applied. Results were reviewed by the authors and selected for inclusion based on relevance to the topic. Additional articles were identified by manually searching reference lists of included articles. Using data from this search we herein summarize the evidence relating to pathophysiology and management of diabetes in pregnancy. We discuss areas of controversy including the method and timing of diagnosis of GDM, and choice of pharmacologic agents to treat hyperglycemia during pregnancy. Therefore, this review is intended to serve as a practical guide for clinicians who are caring for women with diabetes and their infants.
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Affiliation(s)
- Aoife M Egan
- Department of Endocrinology, Mayo Clinic, Rochester, MN.
| | - Margaret L Dow
- Department of Obstetrics and Gynecology, Mayo Clinic, Rochester, MN
| | - Adrian Vella
- Department of Endocrinology, Mayo Clinic, Rochester, MN
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Townsend R, Sileo FG, Allotey J, Dodds J, Heazell A, Jorgensen L, Kim VB, Magee L, Mol B, Sandall J, Smith G, Thilaganathan B, von Dadelszen P, Thangaratinam S, Khalil A. Prediction of stillbirth: an umbrella review of evaluation of prognostic variables. BJOG 2020; 128:238-250. [PMID: 32931648 DOI: 10.1111/1471-0528.16510] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/17/2020] [Indexed: 12/23/2022]
Abstract
BACKGROUND Stillbirth accounts for over 2 million deaths a year worldwide and rates remains stubbornly high. Multivariable prediction models may be key to individualised monitoring, intervention or early birth in pregnancy to prevent stillbirth. OBJECTIVES To collate and evaluate systematic reviews of factors associated with stillbirth in order to identify variables relevant to prediction model development. SEARCH STRATEGY MEDLINE, Embase, DARE and Cochrane Library databases and reference lists were searched up to November 2019. SELECTION CRITERIA We included systematic reviews of association of individual variables with stillbirth without language restriction. DATA COLLECTION AND ANALYSIS Abstract screening and data extraction were conducted in duplicate. Methodological quality was assessed using AMSTAR and QUIPS criteria. The evidence supporting association with each variable was graded. RESULTS The search identified 1198 citations. Sixty-nine systematic reviews reporting 64 variables were included. The most frequently reported were maternal age (n = 5), body mass index (n = 6) and maternal diabetes (n = 5). Uterine artery Doppler appeared to have the best performance of any single test for stillbirth. The strongest evidence of association was for nulliparity and pre-existing hypertension. CONCLUSION We have identified variables relevant to the development of prediction models for stillbirth. Age, parity and prior adverse pregnancy outcomes had a more convincing association than the best performing tests, which were PAPP-A, PlGF and UtAD. The evidence was limited by high heterogeneity and lack of data on intervention bias. TWEETABLE ABSTRACT Review shows key predictors for use in developing models predicting stillbirth include age, prior pregnancy outcome and PAPP-A, PLGF and Uterine artery Doppler.
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Affiliation(s)
- R Townsend
- Molecular and Clinical Sciences Research Institute, St George's, University of London and St George's University Hospitals NHS Foundation Trust, London, UK.,Fetal Medicine Unit, St George's University Hospitals NHS Foundation Trust, London, UK
| | - F G Sileo
- Molecular and Clinical Sciences Research Institute, St George's, University of London and St George's University Hospitals NHS Foundation Trust, London, UK.,Fetal Medicine Unit, St George's University Hospitals NHS Foundation Trust, London, UK
| | - J Allotey
- Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK.,Pragmatic Clinical Trials Unit, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - J Dodds
- Pragmatic Clinical Trials Unit, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK.,Centre for Women's Health, Institute of Population Health Sciences, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - A Heazell
- St Mary's Hospital, Manchester Academic Health Science Centre, Manchester University NHS Foundation Trust, Manchester, UK.,Faculty of Biology, Medicine and Health, Maternal and Fetal Health Research Centre, School of Medical Sciences, University of Manchester, Manchester, UK
| | | | - V B Kim
- The Robinson Institute, University of Adelaide, Adelaide, SA, Australia
| | - L Magee
- Faculty of Life Sciences and Medicine, School of Life Course Sciences, King's College London, London, UK
| | - B Mol
- Department of Obstetrics and Gynaecology, School of Medicine, Monash University, Melbourne, Vic., Australia
| | - J Sandall
- Health Service and Population Research Department, Centre for Implementation Science, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.,Department of Women and Children's Health, Faculty of Life Sciences & Medicine, School of Life Course Sciences, King's College London, St Thomas' Hospital, London, UK
| | - Gcs Smith
- Department of Obstetrics and Gynaecology, University of Cambridge, NIHR Cambridge Biomedical Research Centre, Cambridge, UK.,Department of Physiology, Development and Neuroscience, Centre for Trophoblast Research (CTR), University of Cambridge, Cambridge, UK
| | - B Thilaganathan
- Molecular and Clinical Sciences Research Institute, St George's, University of London and St George's University Hospitals NHS Foundation Trust, London, UK.,Fetal Medicine Unit, St George's University Hospitals NHS Foundation Trust, London, UK
| | - P von Dadelszen
- Faculty of Life Sciences and Medicine, School of Life Course Sciences, King's College London, London, UK
| | - S Thangaratinam
- Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK.,Pragmatic Clinical Trials Unit, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - A Khalil
- Molecular and Clinical Sciences Research Institute, St George's, University of London and St George's University Hospitals NHS Foundation Trust, London, UK.,Fetal Medicine Unit, St George's University Hospitals NHS Foundation Trust, London, UK
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Lee D, Booth GL, Ray JG, Ling V, Feig DS. Undiagnosed type 2 diabetes during pregnancy is associated with increased perinatal mortality: a large population-based cohort study in Ontario, Canada. Diabet Med 2020; 37:1696-1704. [PMID: 31994233 DOI: 10.1111/dme.14250] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/23/2020] [Indexed: 01/11/2023]
Abstract
AIM To compare perinatal outcomes in women with undiagnosed diabetes with gestational diabetes alone, pre-existing diabetes and women without diabetes, and to identify risk factors which distinguish them from women with gestational diabetes alone. METHODS This population-based cohort study included administrative data on all women who gave birth in Ontario, Canada, during 2002-2015. Maternal/neonatal outcomes were compared across groups using logistic regression, adjusting for confounders. A nested case control study compared women with undiagnosed type 2 diabetes with women with gestational diabetes alone to determine risk factors that would help identify these women. RESULTS Among 995 990 women, 68 163 had gestational diabetes (6.8%) and, of those women with gestational diabetes,1772 had undiagnosed type 2 diabetes (2.6%). Those with undiagnosed type 2 diabetes were more likely to be older, from a lower income area, have parity > 3 and BMI ≥ 30 kg/m2 compared with gestational diabetes alone. Infants had a higher risk of perinatal mortality (OR 2.3 [1.6-3.4]), preterm birth (OR 2.6 [2.3-2.9]), congenital anomalies (OR 2.1 [1.7-2.5]), neonatal intensive care unit admission (OR 3.1 [2.8-3.5]) and neonatal hypoglycaemia (OR 406.0 [357-461]), which were similar to women with pre-existing diabetes. The strongest predictive risk factors included early gestational diabetes diagnosis, previous gestational diabetes and chronic hypertension. CONCLUSIONS Women diagnosed with gestational diabetes who develop diabetes within 1 year postpartum are at higher risk of adverse pregnancy outcomes, including perinatal mortality. This highlights the need for earlier diagnosis, preferably pre-pregnancy, and more aggressive treatment and surveillance of suspected type 2 diabetes during pregnancy.
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MESH Headings
- Adolescent
- Adult
- Case-Control Studies
- Cesarean Section/statistics & numerical data
- Cohort Studies
- Congenital Abnormalities/epidemiology
- Diabetes Mellitus, Type 2/epidemiology
- Diabetes, Gestational/epidemiology
- Female
- Fetal Macrosomia/epidemiology
- Humans
- Hyperbilirubinemia, Neonatal/epidemiology
- Hypertension, Pregnancy-Induced/epidemiology
- Hypoglycemia/epidemiology
- Income
- Infant, Newborn
- Infant, Newborn, Diseases/epidemiology
- Intensive Care Units, Neonatal
- Logistic Models
- Maternal Age
- Middle Aged
- Obesity, Maternal/epidemiology
- Ontario/epidemiology
- Parity
- Perinatal Mortality
- Pregnancy
- Pregnancy in Diabetics/epidemiology
- Premature Birth/epidemiology
- Residence Characteristics
- Respiratory Distress Syndrome, Newborn/epidemiology
- Shoulder Dystocia/epidemiology
- Undiagnosed Diseases/epidemiology
- Young Adult
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Affiliation(s)
- D Lee
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - G L Booth
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada
- ICES, Toronto, Ontario, Canada
- Keenan Research Centre, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
- Division of Endocrinology and Metabolism, St. Michael's Hospital, Toronto, Ontario, Canada
| | - J G Ray
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada
- ICES, Toronto, Ontario, Canada
- Keenan Research Centre, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
| | - V Ling
- ICES, Toronto, Ontario, Canada
| | - D S Feig
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada
- ICES, Toronto, Ontario, Canada
- Division of Endocrinology and Metabolism, Department of Medicine, Sinai Health System, Mount Sinai Hospital, Toronto, Ontario, Canada
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Mount Sinai Hospital, Toronto, Ontario, Canada
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Gortazar L, Goday A, Flores-Le Roux JA, Sarsanedas E, Payà A, Mañé L, Pedro-Botet J, Benaiges D. Trends in prevalence of pre-existing diabetes and perinatal outcomes: a large, population-based study in Catalonia, Spain, 2006-2015. BMJ Open Diabetes Res Care 2020; 8:8/1/e001254. [PMID: 33106331 PMCID: PMC7592254 DOI: 10.1136/bmjdrc-2020-001254] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Revised: 06/17/2020] [Accepted: 07/13/2020] [Indexed: 01/21/2023] Open
Abstract
INTRODUCTION This study aims to assess trends in the prevalence of pre-existing diabetes and whether the risk of adverse perinatal outcomes decreased in women between 2006 and 2015 in Catalonia, Spain. RESEARCH DESIGN AND METHODS A population-based study of 743 762 singleton deliveries between 2006 and 2015 in Catalonia, Spain, was conducted using data from the Spanish Minimum Basic Data Set. Cases of type 1 diabetes (T1DM) and 'type 2 diabetes and other pre-existing diabetes' ('T2DM and other PGD') were identified using International Classification of Diseases, Ninth Revision, Clinical Modification codes. Crude and age-adjusted annual prevalences were calculated. Poisson regression model was used to assess trends in prevalence and perinatal outcomes during the study period. RESULTS Overall prevalences of pre-existing diabetes, T1DM and 'T2DM and other PGD' were 0.52% (95% CI 0.51 to 0.54), 0.17% (95% CI 0.17 to 0.18) and 0.35% (95% CI 0.33 to 0.36), respectively. From 2006 to 2015, rates increased for pre-existing diabetes (from 0.43 (95% CI 0.39 to 0.48) to 0.56% (0.50 to 0.62), p<0.001), T1DM (from 0.14 (0.11 to 0.17) to 0.20% (0.17 to 0.23), p<0.001) and 'T2DM and other PGD' (from 0.29 (0.25 to 0.33) to 0.36% (0.31 to 0.40), p<0.001). Pre-eclampsia rose in women with pre-existing diabetes (from 4.38% to 8.97%, adjusted p<0.001), T1DM (from 3.85% to 12.88%, p=0.005) and 'T2DM and other PGD' (from 4.63% to 6.78%, adjusted p=0.01). Prevalence of prematurity, cesarean section and small for gestational age remained stable in all diabetes groups. However, the prevalence of macrosomia fell in women with pre-existing diabetes (from 18.18% to 11.9%, adjusted p=0.011) and 'T2DM and other PGD' (from 14.71% to 11.06%, non-adjusted p=0.022, adjusted p=0.305) and large for gestational age decreased in all diabetes groups (from 39.73% to 30.25% in pre-existing diabetes, adjusted p=0.004). CONCLUSIONS The prevalence of pre-existing diabetes increased significantly in Catalonia between 2006 and 2015. Despite improvements in outcomes related to excessive birth weight, pre-eclampsia rates are rising and overall perinatal outcomes in women with pre-existing diabetes continue to be markedly worse than in the population without diabetes.
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Affiliation(s)
- Lucia Gortazar
- Department of Endocrinology and Nutrition, Hospital del Mar, Barcelona, Spain
- Department of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Albert Goday
- Department of Endocrinology and Nutrition, Hospital del Mar, Barcelona, Spain
- Department of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
- Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), Barcelona, Spain
| | - Juana Antonia Flores-Le Roux
- Department of Endocrinology and Nutrition, Hospital del Mar, Barcelona, Spain
- Department of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
- Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), Barcelona, Spain
| | - Eugènia Sarsanedas
- Health Information Management Department, Hospital del Mar, Barcelona, Spain
| | - Antonio Payà
- Department of Gynaecology and Obstetrics, Hospital del Mar, Barcelona, Spain
| | - Laura Mañé
- Department of Endocrinology and Nutrition, Hospital del Mar, Barcelona, Spain
- Department of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Juan Pedro-Botet
- Department of Endocrinology and Nutrition, Hospital del Mar, Barcelona, Spain
- Department of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
- Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), Barcelona, Spain
| | - David Benaiges
- Department of Endocrinology and Nutrition, Hospital del Mar, Barcelona, Spain
- Department of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
- Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), Barcelona, Spain
- Consorci Sanitari de l'Alt Penedès Garraf, Vilafranca del Penedès, Spain
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Pregnancy environment, and not preconception, leads to fetal growth restriction and congenital abnormalities associated with diabetes. Sci Rep 2020; 10:12254. [PMID: 32703993 PMCID: PMC7378839 DOI: 10.1038/s41598-020-69247-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Accepted: 07/09/2020] [Indexed: 02/06/2023] Open
Abstract
Maternal diabetes can lead to pregnancy complications and impaired fetal development. The goal of this study was to use a mouse model of reciprocal embryo transfer to distinguish between the preconception and gestational effects of diabetes. To induce diabetes female mice were injected with a single high dose of streptozotocin and 3 weeks thereafter used as oocyte donors for in vitro fertilization (IVF) and as recipients for embryo transfer. Following IVF embryos were cultured to the blastocyst stage in vitro or transferred to diabetic and non-diabetic recipients. Diabetic and non-diabetic females did not differ in regard to the number of oocytes obtained after ovarian stimulation, oocytes ability to become fertilized, and embryo development in vitro. However, diabetic females displayed impaired responsiveness to superovulation. Reciprocal embryo transfer resulted in similar incidence of live fetuses and abortions, and no changes in placental size. However, fetuses carried by diabetic recipients were smaller compared to those carried by non-diabetic recipients, regardless hyperglycemia status of oocyte donors. Congenital abnormalities were observed only among the fetuses carried by diabetic recipients. The findings support that the diabetic status during pregnancy, and not the preconception effect of diabetes on oogenesis, leads to fetal growth restriction and congenital deformities.
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40
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Fluhr H. Angeborene Fehlbildungen bei Kindern von Frauen mit Diabetes. GYNAKOLOGISCHE ENDOKRINOLOGIE 2020. [DOI: 10.1007/s10304-020-00327-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Kapustin RV, Kascheeva TK, Alekseenkova EN, Shelaeva EV. Are the first-trimester levels of PAPP-A and fb-hCG predictors for obstetrical complications in diabetic pregnancy? J Matern Fetal Neonatal Med 2020; 35:1113-1119. [PMID: 32228094 DOI: 10.1080/14767058.2020.1743658] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
Objective: To assess the levels of pregnancy-associated plasma protein-A (PAPP-A) and β-human chorionic gonadotropin (fb-hCG) in cases of diabetic pregnancy, to determine whether these biomarkers can be considered significant predictors for macrosomia, preeclampsia (PE), intrauterine growth restriction (IUGR), and preterm birth in mothers with different types of pregestational diabetes mellitus (DM).Methods: It was a retrospective cohort study. Study groups were presented: type 1 DM (n = 100), type 2 DM (n = 50), and controls (n = 25). At 11 + 0 to 13 + 6 week's gestation, we recorded maternal characteristics and medical history, and performed a combined test for the detection of risk of chromosomal abnormalities. To assess the performance of the markers in the prediction of the main obstetrical complications (PE, IUGR, preterm birth, and macrosomia), receiver-operating characteristic (ROC) curves were produced and area under the curves was calculated.Results: The study has shown that DM is associated with a high rate of perinatal complications: PE, IUGR, macrosomia, and preterm birth. The median level of PAPP-A was significantly lower in case of type 1 DM- 0.89 (inter quartile range (IQR), 0.51-1.1), and type 2 DM-0.88 (IQR, 0.42-1.15) compared to the unaffected group 1.03 (IQR, 0.96-1.12; p = .025). There were no significant differences in the fb-hCG multiples of the normal median (MoM; p = .14) between the diabetic and unaffected groups. More significant results were obtained when calculated by percentile: in diabetic pregnancies, PAPP-A and fb-hCG MoMs values were lower in the 5-10% ranges and higher in the 95% range, compared to the control group. ROC-analysis did not show any significant data that first-trimester PAPP-A and fb-hCG serum levels are predictors for PE, IUGR, macrosomia, and preterm birth.Conclusion: The routine first-trimester serum screening of fetal Down syndrome cannot be used as a tool of risk identification for PE, IUGR, macrosomia, and preterm birth in case of diabetic pregnancy.
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Affiliation(s)
- Roman V Kapustin
- Department of Obstetrics, Division of Maternal-Fetal Medicine, D.O. Ott Research Institute of Obstetrics, Gynecology and Reproductive Medicine, St. Petersburg, Russia.,Department of Obstetrics, Gynecology and Reproduction, Faculty of Medicine, St. Petersburg State University, St. Petersburg, Russia
| | - Tatyana K Kascheeva
- Department of Genetics, D.O. Ott Research Institute of Obstetrics, Gynecology and Reproductive Medicine, St. Petersburg, Russia
| | - Elena N Alekseenkova
- Department of Obstetrics, Gynecology and Reproduction, Faculty of Medicine, St. Petersburg State University, St. Petersburg, Russia
| | - Elizaveta V Shelaeva
- Department of Obstetrics, Division of Maternal-Fetal Medicine, D.O. Ott Research Institute of Obstetrics, Gynecology and Reproductive Medicine, St. Petersburg, Russia
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Lee IL, Barr ELM, Longmore D, Barzi F, Brown ADH, Connors C, Boyle JA, Kirkwood M, Hampton V, Lynch M, Lu ZX, O'Dea K, Oats J, McIntyre HD, Zimmet P, Shaw JE, Maple-Brown LJ. Cord blood metabolic markers are strong mediators of the effect of maternal adiposity on fetal growth in pregnancies across the glucose tolerance spectrum: the PANDORA study. Diabetologia 2020; 63:497-507. [PMID: 31915893 DOI: 10.1007/s00125-019-05079-2] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2019] [Accepted: 10/23/2019] [Indexed: 01/30/2023]
Abstract
AIMS/HYPOTHESIS We aimed to assess associations between cord blood metabolic markers and fetal overgrowth, and whether cord markers mediated the impact of maternal adiposity on neonatal anthropometric outcomes among children born to Indigenous and Non-Indigenous Australian women with normal glucose tolerance (NGT), gestational diabetes mellitus (GDM) and pregestational type 2 diabetes mellitus. METHODS From the Pregnancy and Neonatal Outcomes in Remote Australia (PANDORA) study, an observational cohort of 1135 mother-baby pairs, venous cord blood was available for 645 singleton babies (49% Indigenous Australian) of women with NGT (n = 129), GDM (n = 419) and type 2 diabetes (n = 97). Cord glucose, triacylglycerol, HDL-cholesterol, C-reactive protein (CRP) and C-peptide were measured. Multivariable logistic and linear regression were used to assess the associations between cord blood metabolic markers and the outcomes of birthweight z score, sum of skinfold thickness (SSF), being large for gestational age (LGA) and percentage of body fat. Pathway analysis assessed whether cord markers mediated the associations between maternal and neonatal adiposity. RESULTS Elevated cord C-peptide was significantly associated with increasing birthweight z score (β 0.57 [95% CI 0.42, 0.71]), SSF (β 0.83 [95% CI 0.41, 1.25]), percentage of body fat (β 1.20 [95% CI 0.69, 1.71]) and risk for LGA [OR 3.14 [95% CI 2.11, 4.68]), after adjusting for age, ethnicity and diabetes type. Cord triacylglycerol was negatively associated with birthweight z score for Indigenous Australian women only. No associations between cord glucose, HDL-cholesterol and CRP >0.3 mg/l (2.9 nmol/l) with neonatal outcomes were observed. C-peptide mediated 18% (95% CI 13, 36) of the association of maternal BMI with LGA and 11% (95% CI 8, 17) of the association with per cent neonatal fat. CONCLUSIONS/INTERPRETATION Cord blood C-peptide is an important mediator of the association between maternal and infant adiposity, across the spectrum of maternal glucose tolerance.
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Affiliation(s)
- I-Lynn Lee
- Wellbeing and Preventable Chronic Disease Division, Menzies School of Health Research, Charles Darwin University, PO Box 41096, Casuarina, NT, 0811, Australia
| | - Elizabeth L M Barr
- Wellbeing and Preventable Chronic Disease Division, Menzies School of Health Research, Charles Darwin University, PO Box 41096, Casuarina, NT, 0811, Australia
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Danielle Longmore
- Wellbeing and Preventable Chronic Disease Division, Menzies School of Health Research, Charles Darwin University, PO Box 41096, Casuarina, NT, 0811, Australia
| | - Federica Barzi
- Wellbeing and Preventable Chronic Disease Division, Menzies School of Health Research, Charles Darwin University, PO Box 41096, Casuarina, NT, 0811, Australia
| | - Alex D H Brown
- South Australian Health and Medical Research Institute, Adelaide, SA, Australia
- Faculty of Health and Medical Sciences, the University of Adelaide, Adelaide, SA, Australia
| | | | - Jacqueline A Boyle
- Monash Centre for Health Research and Implementation, School of Public Health and Preventative Medicine, Monash University, Clayton, VIC, Australia
| | - Marie Kirkwood
- Wellbeing and Preventable Chronic Disease Division, Menzies School of Health Research, Charles Darwin University, PO Box 41096, Casuarina, NT, 0811, Australia
| | - Vanya Hampton
- Wellbeing and Preventable Chronic Disease Division, Menzies School of Health Research, Charles Darwin University, PO Box 41096, Casuarina, NT, 0811, Australia
| | - Michael Lynch
- Pathology Network, Top End Health and Hospital Services, Darwin, NT, Australia
| | - Zhong X Lu
- Monash Pathology, Monash Health, Melbourne, VIC, Australia
- Department of Medicine, Monash University, Melbourne, VIC, Australia
| | - Kerin O'Dea
- School of Health Sciences, University of South Australia, Adelaide, SA, Australia
| | - Jeremy Oats
- Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
| | - H David McIntyre
- Mater Medical Research Institute, University of Queensland, Brisbane, QLD, Australia
| | - Paul Zimmet
- Department of Diabetes, Central Clinical School, Monash University, Melbourne, VIC, Australia
| | - Jonathan E Shaw
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Louise J Maple-Brown
- Wellbeing and Preventable Chronic Disease Division, Menzies School of Health Research, Charles Darwin University, PO Box 41096, Casuarina, NT, 0811, Australia.
- Division of Medicine, Royal Darwin Hospital, Darwin, NT, Australia.
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Liu L, Wang H, Zhang Y, Niu J, Li Z, Tang R. Effect of pregravid obesity on perinatal outcomes in singleton pregnancies following in vitro fertilization and the weight-loss goals to reduce the risks of poor pregnancy outcomes: A retrospective cohort study. PLoS One 2020; 15:e0227766. [PMID: 32053669 PMCID: PMC7027660 DOI: 10.1371/journal.pone.0227766] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2019] [Accepted: 12/27/2019] [Indexed: 11/25/2022] Open
Abstract
Objective In the present study, we aimed to determine whether pregravid obesity
independently predicts increased risks of perinatal complications following
in vitro fertilization (IVF) and the weight loss goals to reduce the risk of
poor pregnancy outcomes. Design Retrospective cohort study. Population All pregnancies after first the fresh IVF cycle from January 2014 to December
2016 in the Reproductive Center affiliated to Shandong University were
reviewed. A total of 3,962 eligible singleton births were stratified into
cohorts based on the body mass index (BMI) definitions of the Working Group
on Obesity in China (WGOC). Main outcome measures Adverse perinatal outcomes. Results Pregravid overweight and obesity were associated with increased risks of
gestational diabetes mellitus (GDM), hypertensive disorders of pregnancy
(HDP), including gestational hypertension (GH) and pre-eclampsia (PE),
polyhydramnios, preterm premature rupture of the membranes (PPROM),
placental abruption, preterm birth (PTB) <37 weeks, caesarean section
(CS), fetal macrosomia, large for gestational age (LGA) >90th percentile,
neonatal respiratory distress syndrome (NRDS), neonatal intensive care unit
(NICU) admission and congenital anomalies as compared with the normal-weight
group after adjustment of differences in age, parity, polycystic ovary
syndrome (PCOS) and type of controlled ovarian hyperstimulation (COH). The
increased risks of PPROM, NRDS and congenital anomalies were eliminated
after adjustment of GDM development, whereas the increased risk of NRDS
disappeared after adjustment of HDP. Placenta previa was not significantly
different between the obese group and reference group (REF). Moreover, the
rates of postpartum hemorrhage (PPH), PTB<32 weeks, small for gestational
age (SGA) >90th percentile and perinatal mortality were also not
significantly different between above-mentioned two groups. For obese women,
a 10%-15% reduction in prepregnancy BMI was associated with significantly
decreased risks of GH, CS and fetal macrosomia. For overweight women, just a
5% reduction in BMI could significantly reduce the risks of GDM, CS and
fetal macrosomia. Conclusions Pregravid obesity could independently predict a higher risk of adverse
pregnancy outcomes after adjustment of differences in maternal age, parity,
PCOS, and type of COH in IVF pregnancies. The potential mechanism that
obesity potentiated the risks of some poor perinantal outcomes might occur
through the development of GDM and HDP. A 10%-15% reduction in pregravid BMI
for obese women and a 5% reduction for overweight women were associated with
a significant reduction of poor perinatal complications.
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Affiliation(s)
- Lu Liu
- Reproductive Hospital Affiliated to Shandong University, Jinan,
China
- International Peace Maternity & Child Health Hospital Affiliated to
Shanghai Jiao Tong University, Shanghai, China
| | - Hongmei Wang
- Department of Obstetrics & Gynecology, Provincial Hospital Affiliated
to Shandong University, Jinan, China
| | - Yang Zhang
- Reproductive Hospital Affiliated to Shandong University, Jinan,
China
| | - Jinlei Niu
- Reproductive Hospital Affiliated to Shandong University, Jinan,
China
- National Research Center for Assisted Reproductive Technology and
Reproductive Genetics, Jinan, China
- The Key Laboratory of Reproductive Endocrinology (Shandong University),
Ministry of Education, Jinan, China
- Shandong Provincial Key Laboratory of Reproductive Medicine, Jinan,
China
| | - Zhongyuan Li
- Reproductive Hospital Affiliated to Shandong University, Jinan,
China
- National Research Center for Assisted Reproductive Technology and
Reproductive Genetics, Jinan, China
- The Key Laboratory of Reproductive Endocrinology (Shandong University),
Ministry of Education, Jinan, China
- Shandong Provincial Key Laboratory of Reproductive Medicine, Jinan,
China
| | - Rong Tang
- Reproductive Hospital Affiliated to Shandong University, Jinan,
China
- Department of Obstetrics & Gynecology, Provincial Hospital Affiliated
to Shandong University, Jinan, China
- National Research Center for Assisted Reproductive Technology and
Reproductive Genetics, Jinan, China
- The Key Laboratory of Reproductive Endocrinology (Shandong University),
Ministry of Education, Jinan, China
- Shandong Provincial Key Laboratory of Reproductive Medicine, Jinan,
China
- * E-mail:
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Thong EP, Codner E, Laven JSE, Teede H. Diabetes: a metabolic and reproductive disorder in women. Lancet Diabetes Endocrinol 2020; 8:134-149. [PMID: 31635966 DOI: 10.1016/s2213-8587(19)30345-6] [Citation(s) in RCA: 96] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2019] [Revised: 08/27/2019] [Accepted: 09/03/2019] [Indexed: 02/07/2023]
Abstract
Reproductive dysfunction is a common but little studied complication of diabetes. The spectrum of reproductive health problems in diabetes is broad, and encompasses delayed puberty and menarche, menstrual cycle abnormalities, subfertility, adverse pregnancy outcomes, and potentially early menopause. Depending on the age at diagnosis of diabetes, reproductive problems can manifest early on in puberty, emerge later when fertility is desired, or occur during the climacteric period. Historically, women with type 1 diabetes have frequently had amenorrhoea and infertility, due to central hypogonadism. With the intensification of insulin therapy and improved metabolic control, these problems have declined, but do persist. Additional reproductive implications of contemporary diabetes management are now emerging, including polycystic ovary syndrome and hyperandrogenism, which are underpinned by insulin action on the ovary. The sharp rise in type 2 diabetes incidence in youth suggests that more women of reproductive age will encounter diabetes-related reproductive problems in their lifetimes. With an ever increasing number of young women living with diabetes, clinicians need to be aware of and equipped for the challenges of navigating reproductive health concerns across the lifespan.
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Affiliation(s)
- Eleanor P Thong
- Monash Centre for Health Research and Implementation, School of Public Health and Preventative Medicine, Monash University, Melbourne, VIC, Australia; Department of Endocrinology and Diabetes, Monash Health, Clayton, VIC, Australia
| | - Ethel Codner
- Institute of Maternal and Child Research, School of Medicine, University of Chile, Santiago, Chile
| | - Joop S E Laven
- Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynaecology, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Helena Teede
- Monash Centre for Health Research and Implementation, School of Public Health and Preventative Medicine, Monash University, Melbourne, VIC, Australia; Department of Endocrinology and Diabetes, Monash Health, Clayton, VIC, Australia.
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Tinker SC, Gilboa SM, Moore CA, Waller DK, Simeone RM, Kim SY, Jamieson DJ, Botto LD, Reefhuis J. Specific birth defects in pregnancies of women with diabetes: National Birth Defects Prevention Study, 1997-2011. Am J Obstet Gynecol 2020; 222:176.e1-176.e11. [PMID: 31454511 DOI: 10.1016/j.ajog.2019.08.028] [Citation(s) in RCA: 75] [Impact Index Per Article: 18.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2019] [Revised: 08/19/2019] [Accepted: 08/19/2019] [Indexed: 02/07/2023]
Abstract
BACKGROUND Diabetes is associated with an increased risk for many birth defects and is likely to have an increasing impact on birth defect prevalence because of the rise in diabetes in the United States in recent decades. One of the first analyses in which specific birth defects were assessed for their relationship with both pregestational and gestational diabetes used data from the initial 6 years of the National Birth Defects Prevention Study. That analysis reported strong associations for pregestational diabetes with several birth defects, but few exposures among some of the less common birth defects led to unstable estimates with wide confidence intervals. Since that analysis, the study continued to collect data for another 8 years, including information on approximately 19,000 additional cases and 6900 additional controls. OBJECTIVE Our objective was to use data from the National Birth Defects Prevention Study, the largest population-based birth defects case-control study in the United States, to provide updated and more precise estimates of the association between diabetes and birth defects, including some defects not previously assessed. STUDY DESIGN We analyzed data on deliveries from October 1997 through December 2011. Mothers of case and control infants were interviewed about their health conditions and exposures during pregnancy, including diagnosis of pregestational (type 1 or type 2) diabetes before the index pregnancy or gestational diabetes during the index pregnancy. Using logistic regression, we separately assessed the association between pregestational and gestational diabetes with specific categories of structural birth defects for which there were at least 3 exposed case infants. For birth defect categories for which there were at least 5 exposed case infants, we calculated odds ratios adjusted for maternal body mass index, age, education, race/ethnicity, and study site; for defect categories with 3 or 4 exposed cases, we calculated crude odds ratios. RESULTS Pregestational diabetes was reported by 0.6% of mothers of control infants (71 of 11,447) and 2.5% of mothers of case infants (775 of 31,007). Gestational diabetes during the index pregnancy was reported by 4.7% of mothers of control infants (536 of 11,447) and 5.3% of mothers of case infants (1,653 of 31,007). Pregestational diabetes was associated with strong, statistically significant odds ratios (range, 2.5-80.2) for 46 of 50 birth defects considered. The largest odds ratio was observed for sacral agenesis (adjusted odds ratio, 80.2; 95% confidence interval, 46.1-139.3). A greater than 10-fold increased risk was also observed for holoprosencephaly (adjusted odds ratio, 13.1; 95% confidence interval, 7.0-24.5), longitudinal limb deficiency (adjusted odds ratio, 10.1; 95% confidence interval, 6.2-16.5), heterotaxy (adjusted odds ratio, 12.3; 95% confidence interval, 7.3-20.5), truncus arteriosus (adjusted odds ratio, 14.9; 95% confidence interval, 7.6-29.3), atrioventricular septal defect (adjusted odds ratio, 10.5; 95% confidence interval, 6.2-17.9), and single ventricle complex (adjusted odds ratio, 14.7; 95% confidence interval, 8.9-24.3). For gestational diabetes, statistically significant odds ratios were fewer (12 of 56) and of smaller magnitude (range, 1.3- 2.1; 0.5 for gastroschisis). CONCLUSION Pregestational diabetes is associated with a markedly increased risk for many specific births defects. Because glycemic control before pregnancy is associated with a reduced risk for birth defects, ongoing quality care for persons with diabetes is an important opportunity for prevention.
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Affiliation(s)
- Sarah C Tinker
- National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, GA.
| | - Suzanne M Gilboa
- National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, GA
| | - Cynthia A Moore
- National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, GA
| | - D Kim Waller
- UTHealth, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX
| | - Regina M Simeone
- National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, GA
| | - Shin Y Kim
- National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, GA
| | - Denise J Jamieson
- Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, GA
| | - Lorenzo D Botto
- Division of Medical Genetics, Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, UT
| | - Jennita Reefhuis
- National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, GA
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Tsakiridis I, Mamopoulos A, Athanasiadis A, Kourtis A, Dagklis T. Management of pregestational diabetes mellitus: a comparison of guidelines. J Matern Fetal Neonatal Med 2020; 35:423-432. [PMID: 31992099 DOI: 10.1080/14767058.2020.1719481] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
Background: Pregestational diabetes is associated with adverse maternal and neonatal outcomes. The aim of this study was to summarize and compare evidence-based recommendations on pregestational diabetes and to focus especially on issues related to the management of this entity.Materials and methods: A descriptive review of three recently published national guidelines on pregestational diabetes was conducted: the American Diabetes Association on "Diabetes in Pregnancy: Standards of Medical Care in Diabetes - 2019," the National Institute for Health and Care Excellence on "Diabetes in pregnancy: management from preconception to the postnatal period" and the American College of Obstetricians and Gynecologists on "Pregestational Diabetes Mellitus." These guidelines were compared according to recommendations on management, during the preconception, antenatal, intrapartum and postpartum period.Results: There were many similar recommendations regarding the preconception counseling, the antepartum assessment by specialists, the glycemic control target levels, the pharmacologic treatment and the postpartum period among the three guidelines. On the other hand, the American Diabetes Association makes no recommendations regarding fetal monitoring and obstetric management during pregnancy and the intrapartum period, while there are several similarities between the other two guidelines.Conclusions: The adoption of an international consensus based on evidence - based guidelines will increase the awareness of the healthcare professionals on the management of pregestational diabetes, leading that way to more favorable perinatal outcomes.
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Affiliation(s)
- Ioannis Tsakiridis
- Third Department of Obstetrics and Gynaecology, Faculty of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Apostolos Mamopoulos
- Third Department of Obstetrics and Gynaecology, Faculty of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Apostolos Athanasiadis
- Third Department of Obstetrics and Gynaecology, Faculty of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Anargyros Kourtis
- Third Department of Obstetrics and Gynaecology, Faculty of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Themistoklis Dagklis
- Third Department of Obstetrics and Gynaecology, Faculty of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
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Abstract
The review presents some renewed data on the problem of optimal time and modes of delivery for women with various types of diabetes mellitus (DM 1 and 2, gestational diabetes). The necessity of making the universal delivery strategy algorithm for women with DM comes out of adverse outcomes high frequency, where the main cases are fetal macrosomia, fetal shoulder dystocia and perinatal mortality. Despite significant interest for this issue, there is still no common delivery tactics in the world for pregnant women with carbohydrate metabolism disorders. The main obstacle is evidence-based tests and meta-analysis insufficiency. So far, further studies are necessary to obtain high quality data concerning optimal terms and modes of delivery for women with DM.
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Affiliation(s)
- Roman Kapustin
- Department of Obstetrics, Division of Maternal-Fetal Medicine, D.O. Ott Research Institute of Obstetrics, Gynecology and Reproductive Medicine, St. Petersburg, Russia
- Department of Obstetrics, Gynecology and Reproduction, Faculty of Medicine, St. Petersburg State University, St. Petersburg, Russia
| | - Olga Arzhanova
- Department of Obstetrics, Division of Maternal-Fetal Medicine, D.O. Ott Research Institute of Obstetrics, Gynecology and Reproductive Medicine, St. Petersburg, Russia
- Department of Obstetrics, Gynecology and Reproduction, Faculty of Medicine, St. Petersburg State University, St. Petersburg, Russia
| | - Elena Alekseenkova
- Department of Obstetrics, Gynecology and Reproduction, Faculty of Medicine, St. Petersburg State University, St. Petersburg, Russia
| | - Adrey Glotov
- Department of Genetics, D.O. Ott Research Institute of Obstetrics, Gynecology and Reproductive Medicine, St. Petersburg, Russia
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Oppermann MLDR, Alessi J, Hirakata VN, Wiegand DM, Reichelt AJ. Preeclampsia in women with pregestational diabetes - a cohort study. Hypertens Pregnancy 2019; 39:48-55. [PMID: 31875734 DOI: 10.1080/10641955.2019.1704002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Aims: To evaluate risk factors for preeclampsia (PE) in women with pregestational diabetes.Methods: Retrospective cohort study of women with pregestational diabetes cared for at a specialized prenatal care facility. Maternal characteristics at booking and during pregnancy were studied for their association with preeclampsia. Multivariable models were tested using Poisson regression with robust estimates; results were expressed as relative risk (RR) and 95% confidence interval (CI).Results: Preeclampsia was diagnosed in 62 of 206 women (30%, 95% CI 24-37%). Previous chronic hypertension was found in 53 subjects (26%; 95% CI 20-32%), of whom 41 (77%, 95% CI 64-88) were type 2 women. Type 1 diabetes, chronic hypertension, systolic blood pressure >124 mmHg at booking and gestational weight gain, either total or excessive for body mass index category, behaved as independent risk factors.Conclusions: In women with pregestational diabetes, some risk factors may predict PE, similar to those found in non-diabetic pregnant women. Two non-modifiable factors (type of diabetes and chronic hypertension) and two modifiable ones (systolic blood pressure levels and gestational weight gain) were found relevant in this cohort. A policy of close monitoring of blood pressure and weight gain, aiming adequate weight gain, may be added to current recommended measures. The high prevalence of PE in women with prepregnancy diabetes, especially those with initial pregnancy systolic blood pressure >124 mmHg, supports a policy of early institution of low dose aspirin. Further multicentric studies will help define the role of these risk factors as contributors to PE in pregestational diabetes.
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Affiliation(s)
- Maria Lúcia Da Rocha Oppermann
- School of Medicine, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.,Gynecology and Obstetrics Unit, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Brazil
| | - Janine Alessi
- School of Medicine, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
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Hjort L, Novakovic B, Grunnet LG, Maple-Brown L, Damm P, Desoye G, Saffery R. Diabetes in pregnancy and epigenetic mechanisms-how the first 9 months from conception might affect the child's epigenome and later risk of disease. Lancet Diabetes Endocrinol 2019; 7:796-806. [PMID: 31128973 DOI: 10.1016/s2213-8587(19)30078-6] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2018] [Revised: 02/11/2019] [Accepted: 02/21/2019] [Indexed: 12/23/2022]
Abstract
Diabetes in pregnancy is not only associated with increased risk of pregnancy complications and subsequent maternal metabolic disease, but also increases the risk of long-term metabolic disease in the offspring. At the interface between genetic and environmental factors, epigenetic variation established in utero represents a plausible link between the in utero environment and later disease susceptibility. The identification of an epigenetic fingerprint of diabetes in pregnancy linked to the metabolic health of the offspring might provide novel biomarkers for the identification of offspring most at risk, before the onset of metabolic dysfunction, for targeted monitoring and intervention. In this Personal View, we (1) highlight the scale of the problem of diabetes in pregnancy, (2) summarise evidence for the variation in offspring epigenetic profiles following exposure to diabetes in utero, and (3) outline potential future approaches to further understand the mechanisms by which exposure to maternal metabolic dysfunction in pregnancy is transmitted through generations.
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Affiliation(s)
- Line Hjort
- Department of Endocrinology, Diabetes and Bone-metabolic Research Unit, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark; Center for Pregnant Women with Diabetes, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark; The Danish Diabetes Academy, Odense, Denmark.
| | - Boris Novakovic
- Cancer and Disease Epigenetics, Murdoch Children's Research Institute, Melbourne, VIC, Australia; Department of Pediatrics, Melbourne University, Melbourne, VIC, Australia
| | - Louise G Grunnet
- Department of Endocrinology, Diabetes and Bone-metabolic Research Unit, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark; The Danish Diabetes Academy, Odense, Denmark
| | - Louise Maple-Brown
- Wellbeing and Preventable Chronic Diseases Division, Menzies School of Health Research, Darwin, NT, Australia; Endocrinology Department, Royal Darwin Hospital, Darwin, NT, Australia
| | - Peter Damm
- Center for Pregnant Women with Diabetes, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Gernot Desoye
- Department of Obstetrics and Gynecology, Medical University of Graz, Graz, Austria
| | - Richard Saffery
- Cancer and Disease Epigenetics, Murdoch Children's Research Institute, Melbourne, VIC, Australia; Department of Pediatrics, Melbourne University, Melbourne, VIC, Australia
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50
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Abstract
Hyperglycemia is common during pregnancy, involving multisystem adaptations. Pregnancy-induced metabolic changes increase insulin resistance. Pregnancy-induced insulin resistance adds to preexisting insulin resistance. Preexisting pancreatic β-cell defect compromises the ability to enhance insulin secretion, leading to hyperglycemia. Women with type 2 DM have similar rates of major congenital malformations, stillbirth, and neonatal mortality, but an even higher risk of perinatal mortality. In utero type 2 DM exposure confers greater risk and reduces time to development of type 2 DM in offspring. Preconception care to improve metabolic control in women with type 2 diabetes is critical.
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Affiliation(s)
- Anil Kapur
- World Diabetes Foundation, 30 A, Krogshoejvej, Bagsverd 2880, Denmark; FIGO Pregnancy and NCD Committee, Jabotinski Street, Petah Tiqwa 49100, Israel.
| | - Harold David McIntyre
- FIGO Pregnancy and NCD Committee, Jabotinski Street, Petah Tiqwa 49100, Israel; UQ Mater Clinical Unit, Faculty of Medicine, Mater Health Services, University of Queensland, Raymond Terrace, South Brisbane, Brisbane, Qld 4101, Australia
| | - Moshe Hod
- FIGO Pregnancy and NCD Committee, Jabotinski Street, Petah Tiqwa 49100, Israel; Department of Obstetrics and Gynecology, Clalit Health Services, Mor Women's Health Center, Rabin Medical Center, Tel Aviv University, 18 Aba Ahimeir St., Tel Aviv 6949204, Israel
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