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Zhou F, Yin B, Xi Y, Zhang J, Bai Y. Association between the glucose pattern in oral glucose tolerance test and adverse pregnancy outcomes among non-diabetic women. JOURNAL OF HEALTH, POPULATION, AND NUTRITION 2025; 44:131. [PMID: 40269994 PMCID: PMC12020201 DOI: 10.1186/s41043-025-00889-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2025] [Accepted: 04/19/2025] [Indexed: 04/25/2025]
Abstract
BACKGROUND This study aimed to explore whether the patterns of the oral glucose tolerance test (OGTT) could function as a predictive factor for adverse pregnancy outcomes in pregnant women without gestational diabetes mellitus (GDM). METHODS A retrospective cohort study was carried out, involving a total of 23,577 pregnant women. The participants were classified into three groups according to the area under the curve (AUC) of the OGTT performed between 24 and 28 weeks of gestation. Based on the tertiles of the AUC-OGTT magnitude, three distinct glucose patterns were identified: small AUC (SA) with an AUC-OGTT ≤ 12.26, medium AUC (MA) with an AUC-OGTT between 12.26 and 13.81, and large AUC (LA) with an AUC-OGTT > 13.81. Logistic regression analysis was utilized to assess the association between different AUC-OGTT patterns and the risk of adverse pregnancy outcomes. RESULTS The incidence of adverse pregnancy outcomes, including preeclampsia, preterm birth, macrosomia, and cesarean delivery, showed a progressive increase from the SA to the MA to the LA pattern. A positive dose-response relationship was observed between the AUC-OGTT and adverse pregnancy outcomes. In the logistic regression analysis, with the SA pattern as the reference, the MA pattern was associated with a higher risk of macrosomia and cesarean delivery (both P < 0.001). Even after adjusting for potential covariates, the relative risks for these outcomes were 1.34 (95% CI: 1.14, 1.56) and 1.09 (95% CI: 1.01, 1.16), respectively (both P < 0.05). Additionally, the LA pattern was associated with a higher risk of preeclampsia, preterm birth, macrosomia, and cesarean delivery (all P < 0.01). After adjusting for potential covariates, the relative risks for preterm birth, macrosomia, and cesarean delivery were 1.20 (95% CI: 1.03, 1.41), 1.68 (95% CI: 1.44, 1.95), and 1.15 (95% CI: 1.07, 1.23), respectively (all P < 0.05). Moreover, these risks differed according to maternal age and preconception body mass index (BMI). CONCLUSIONS The present study highlights the relationship between OGTT patterns and adverse pregnancy outcomes in Chinese women without GDM. Identifying the MA and LA patterns as unfavorable factors for adverse pregnancy outcomes can provide crucial information for clinicians to develop personalized risk assessment and intervention strategies, which may contribute to improving pregnancy outcomes.
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Affiliation(s)
- Fangping Zhou
- Department of Clinical Laboratory, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, 31006, Zhejiang Province, China
| | - Binbin Yin
- Department of Clinical Laboratory, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, 31006, Zhejiang Province, China
| | - Ya Xi
- Department of Central Laboratory, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Jinghua Zhang
- Department of Clinical Laboratory, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, 31006, Zhejiang Province, China
| | - Yongying Bai
- Department of Clinical Laboratory, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, 31006, Zhejiang Province, China.
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Massalha M, Iskander R, Hassan H, Spiegel E, Erez O, Nachum Z. Gestational diabetes mellitus - more than the eye can see - a warning sign for future maternal health with transgenerational impact. FRONTIERS IN CLINICAL DIABETES AND HEALTHCARE 2025; 6:1527076. [PMID: 40235646 PMCID: PMC11997571 DOI: 10.3389/fcdhc.2025.1527076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/12/2024] [Accepted: 02/06/2025] [Indexed: 04/17/2025]
Abstract
Gestational diabetes mellitus (GDM) is regarded by many as maternal maladaptation to physiological insulin resistance during the second half of pregnancy. However, recent evidence indicates that alterations in carbohydrate metabolism can already be detected in early pregnancy. This observation, the increasing prevalence of GDM, and the significant short and long-term implications for the mother and offspring call for reevaluation of the conceptual paradigm of GDM as a syndrome. This review will present evidence for the syndromic nature of GDM and the controversies regarding screening, diagnosis, management, and treatment.
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Affiliation(s)
- Manal Massalha
- Department of Obstetrics and Gynecology, Emek Medical Center, Afula, Israel
- Rappaport Faculty of Medicine, Technion, Institute of technology, Haifa, Israel
| | - Rula Iskander
- Department of Obstetrics and Gynecology, Emek Medical Center, Afula, Israel
| | - Haya Hassan
- Department of Obstetrics and Gynecology, Emek Medical Center, Afula, Israel
| | - Etty Spiegel
- Department of Obstetrics and Gynecology, Emek Medical Center, Afula, Israel
| | - Offer Erez
- Department of Obstetrics and Gynecology, Soroka University Medical Center, Beer Sheva, Israel
- Faculty of Medicine, Ben Gurion University of the Negev, Beer Sheva, Israel
- Department of Obstetrics and Gynecology, Hutzel Women’s Hospital, Wayne State University, Detroit, MI, United States
| | - Zohar Nachum
- Department of Obstetrics and Gynecology, Emek Medical Center, Afula, Israel
- Rappaport Faculty of Medicine, Technion, Institute of technology, Haifa, Israel
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Jiang G, Chen L, Geng L, Zhang Y, Chen Z, Zhu Y, Ma S, Zhao M. Quality of information in gestational diabetes mellitus videos on TikTok: Cross-sectional study. PLoS One 2025; 20:e0316242. [PMID: 39913422 PMCID: PMC11801523 DOI: 10.1371/journal.pone.0316242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2024] [Accepted: 12/08/2024] [Indexed: 02/09/2025] Open
Abstract
BACKGROUND TikTok is an important channel for consumers to obtain and adopt health information. However, misinformation on TikTok could potentially impact public health. Currently, the quality of content related to GDM on TikTok has not been thoroughly reviewed. OBJECTIVE This study aims to explore the information quality of GDM videos on TikTok. METHODS A comprehensive cross-sectional study was conducted on TikTok videos related to GDM. The quality of the videos was assessed using three standardized evaluation tools: DISCERN, the Journal of the American Medical Association (JAMA) benchmarks, and the Global Quality Scale (GQS). The comprehensiveness of the content was evaluated through six questions covering definitions, signs/symptoms, risk factors, evaluation, management, and outcomes. Additionally, a correlational analysis was conducted between video quality and the characteristics of the uploaders and the videos themselves. RESULTS A total of 216 videos were included in the final analysis, with 162 uploaded by health professionals, 40 by general users, and the remaining videos contributed by individual science communicators, for-profit organizations, and news agencies. The average DISCERN, JAMA, and GQS scores for all videos were 48.87, 1.86, and 2.06, respectively. The videos uploaded by health professionals scored the highest in DISCERN, while the videos uploaded by individual science communicators scored significantly higher in JAMA and GQS than those from other sources. Correlation analysis between video quality and video features showed DISCERN scores, JAMA scores and GQS scores were positively correlated with video duration (P<0.001). Content scores were positively correlated with the number of comments (P<0.05), the number of shares (P<0.001), and video duration (P<0.001). CONCLUSION We found that the quality of GDM video on TikTok is poor and lack of relevant information, highlighting the potential risks of using TikTok as a source of health information. Patients should pay attention to identifying health-related information on TikTok.
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Affiliation(s)
- Genyan Jiang
- School of Nursing, Anhui Medical University, Hefei, China
| | - Lei Chen
- School of Nursing, Anhui Medical University, Hefei, China
| | - Lan Geng
- School of Nursing, Anhui Medical University, Hefei, China
| | - Yuhan Zhang
- School of Nursing, Anhui Medical University, Hefei, China
| | - Zhiqi Chen
- School of Nursing, Anhui Medical University, Hefei, China
| | - Yaqi Zhu
- School of Nursing, Anhui Medical University, Hefei, China
| | | | - Mei Zhao
- School of Nursing, Anhui Medical University, Hefei, China
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Yang M, Cao Z, Li W, Zhou J, Liu J, Zhong Y, Zhou Y, Sun L, Li R, Cai X, Xiao H, Zhou A. Maternal Glycemia During Pregnancy and Child Lung Function: A Prospective Cohort Study. Diabetes Care 2024; 47:1941-1948. [PMID: 39231019 PMCID: PMC11502530 DOI: 10.2337/dc24-0865] [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] [Received: 05/05/2024] [Accepted: 08/06/2024] [Indexed: 09/06/2024]
Abstract
OBJECTIVE Gestational diabetes mellitus (GDM) is known to be associated with certain respiratory impairments in offspring. However, the specific association between maternal GDM and childhood lung function remains unclear. We examined the association of maternal glycemia, as measured by oral glucose tolerance test (OGTT) values, with childhood lung function outcomes in a birth cohort. RESEARCH DESIGN AND METHODS A follow-up study was conducted with 889 children aged 6 years whose mothers underwent a 75-g OGTT between 24 and 28 weeks of gestation. After adjusting for prenatal and postnatal factors, multivariable regression models were used to evaluate the relationship between maternal glycemia and offspring lung function. RESULTS In total, 10.7% of the offspring were exposed to maternal GDM. Maternal GDM significantly reduced the z score of forced expiratory volume in 1 s (FEV1), forced vital capacity (FVC), and forced expiratory flow at 25-75% of FVC in children, with more pronounced effects in female offspring. Maternal 1- and 2-h post-OGTT glucose z scores and the sum of those z scores, but not those for fasting glucose, were inversely associated with several measures of children's lung function. Additionally, maternal GDM increased the risk of impaired lung function in children (odds ratio 2.64; 95% CI, 1.10-5.85), defined as an FVC <85% of the predicted value. There were no significant associations with FEV1/FVC. CONCLUSIONS Maternal hyperglycemia was negatively associated with lung function in children, particularly among girls. Further studies are warranted to elucidate the underlying mechanisms of this association and to explore potential interventions to mitigate its effects.
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Affiliation(s)
- Meng Yang
- Institute of Maternal and Child Health, Wuhan Children’s Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan
| | - Zhongqiang Cao
- Institute of Maternal and Child Health, Wuhan Children’s Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan
| | - Wenqing Li
- Department of Respiratory Medicine, Wuhan Children’s Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan
| | - Jieqiong Zhou
- Department of Obstetrics, Wuhan Children’s Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan
| | - Jiuying Liu
- Department of Obstetrics, Wuhan Children’s Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan
| | - Yuanyuan Zhong
- Department of Obstetrics, Wuhan Children’s Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan
| | - Yan Zhou
- Department of Obstetrics, Wuhan Children’s Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan
| | - Lingli Sun
- Department of Child Healthcare, Wuhan Children’s Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ruizhen Li
- Department of Child Healthcare, Wuhan Children’s Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaonan Cai
- Institute of Maternal and Child Health, Wuhan Children’s Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan
| | - Han Xiao
- Institute of Maternal and Child Health, Wuhan Children’s Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan
| | - Aifen Zhou
- Institute of Maternal and Child Health, Wuhan Children’s Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan
- Department of Obstetrics, Wuhan Children’s Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan
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Zhang Y, Chen L, Ouyang Y, Wang X, Fu T, Yan G, Liang Z, Chen D. A new classification method for gestational diabetes mellitus: a study on the relationship between abnormal blood glucose values at different time points in oral glucose tolerance test and adverse maternal and neonatal outcomes in pregnant women with gestational diabetes mellitus. AJOG GLOBAL REPORTS 2024; 4:100390. [PMID: 39309607 PMCID: PMC11415958 DOI: 10.1016/j.xagr.2024.100390] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/25/2024] Open
Abstract
Background Gestational diabetes mellitus (GDM) can lead to various adverse pregnancy outcomes for both mothers and infants, including gestational hypertension, premature rupture of membranes, preterm birth, macrosomia, large for gestational age (LGA) infants, and neonatal hypoglycemia. Previous studies have mainly focused on the overall risk of GDM for adverse maternal and neonatal outcomes, but there has been limited research specifically investigating the relationship between different patterns of abnormal oral glucose tolerance test (OGTT) results and adverse maternal and neonatal outcomes. Objective The study aimed to analyze the maternal and neonatal outcomes among GDM women with different OGTT patterns and to explore a new classification method capable of stratifying GDM into high-risk (GDM-HR) and low-risk subtypes based on OGTT results. Study Design We conducted a retrospective cohort study at the Women's Hospital, School of Medicine, Zhejiang University, spanning from November 1, 2015, to April 30, 2018. During the study period, a total of 3268 cases of GDM were enrolled. Based on the results of the OGTT, these GDM cases were classified into 7 subtypes, and the composition ratio of each subtype and their maternal and neonatal outcomes were analyzed. Innovatively, we proposed to categorize GDM-HR (characterized by elevated fasting blood glucose [FBG] levels, including T0, T0+1, T0+2, and T0+1+2) and low-risk GDM (GDM-LR, without elevated FBG, including T1, T2, and T1+2) and compared the maternal and neonatal outcomes between the two subtypes. Results (1) In this cohort of 3268 GDM cases, the composition ratios of the 7 GDM subtypes were as follows: T0 (7.9%, n=260), T1 (24.2%, n=791), T2 (27.4%, n=897), T0+1 (5.4%, n=175), T0+2 (1.7%, n=56), T1+2 (26.2%, n=855), and T0+1+2 (7.2%, n=234). (2) GDM subtypes with elevated FBG levels (GDM-HR) exhibit more severe adverse prognostic outcomes compared to those without elevated FBG levels (GDM-LR). (3) Multiple logistic regression analysis revealed that compared to the GDM-LR group, the GDM-HR group showed increased fetal birth weight (by approximately 150 grams), and had higher rates of cesarean section (adjusted odds ratio [aOR]: 1.45, 95% confidence interval [CI]: 1.19-1.76), hypertensive disorders of pregnancy (aOR: 1.78, 95% CI: 1.35-2.35), preterm birth (aOR: 1.59, 95% CI: 1.17-2.16), macrosomia (aOR: 2.66, 95% CI: 2.07-3.43), LGA infants (aOR: 2.46, 95% CI: 2.05-2.97), and neonatal hypoglycemia (aOR: 2.00, 95% CI: 1.37-2.91). Partial correlation analysis shows a positive correlation between fetal birth weight and FBG levels, with r=0.222, P<.001. Multiple linear regression indicates that for every 1 mmol/L increase in FBG, the fetal weight is estimated to increase by approximately 188 grams. Conclusion The composition ratio of GDM subtypes with elevated FBG (GDM-HR) is relatively low within GDM cases, yet it presents with a higher risk of adverse outcomes compared to subtypes without elevated FBG (GDM-LR), warranting increased attention from obstetricians. Applying this new classification method in clinical practice enables better differentiation and individualized management of GDM.
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Affiliation(s)
- Yongqing Zhang
- Department of Obstetrics, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China (Zhang, Chen, Ouyang, Fu, Yan, Liang, Chen)
| | - Luping Chen
- Department of Obstetrics, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China (Zhang, Chen, Ouyang, Fu, Yan, Liang, Chen)
| | - Yinluan Ouyang
- Department of Obstetrics, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China (Zhang, Chen, Ouyang, Fu, Yan, Liang, Chen)
| | - Xiaoyan Wang
- Department of Obstetrics, Taizhou First People's Hospital, Taizhou, China (Wang)
| | - Tiantian Fu
- Department of Obstetrics, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China (Zhang, Chen, Ouyang, Fu, Yan, Liang, Chen)
| | - Guohui Yan
- Department of Obstetrics, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China (Zhang, Chen, Ouyang, Fu, Yan, Liang, Chen)
| | - Zhaoxia Liang
- Department of Obstetrics, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China (Zhang, Chen, Ouyang, Fu, Yan, Liang, Chen)
| | - Danqing Chen
- Department of Obstetrics, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China (Zhang, Chen, Ouyang, Fu, Yan, Liang, Chen)
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Eng PC, Teo AED, Yew TW, Khoo CM. Implementing care for women with gestational diabetes after delivery-the challenges ahead. Front Glob Womens Health 2024; 5:1391213. [PMID: 39221169 PMCID: PMC11362992 DOI: 10.3389/fgwh.2024.1391213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2024] [Accepted: 07/31/2024] [Indexed: 09/04/2024] Open
Abstract
Gestational diabetes (GDM), defined as glucose intolerance during pregnancy, affects one in six pregnancies globally and significantly increases a woman's lifetime risk of type 2 diabetes mellitus (T2DM). Being a relatively young group, women with GDM are also at higher risk of developing diabetes related complications (e.g., cardiovascular disease, non-alcoholic fatty liver disease) later in life. Children of women with GDM are also likely to develop GDM and this perpetuates a cycle of diabetes, escalating our current pandemic of metabolic disease. The global prevalence of GDM has now risen by more than 30% over the last two decades, making it an emerging public health concern. Antepartum management of maternal glucose is unable to fully mitigate the associated lifetime cardiometabolic risk. Thus, efforts may need to focus on improving care for women with GDM during the postpartum period where prevention or therapeutic strategies could be implemented to attenuate progression of GDM to DM and its associated vascular complications. However, strategies to provide care for women in the postpartum period often showed disappointing results. This has led to a missed opportunity to halt the progression of impaired glucose tolerance/impaired fasting glucose to DM in women with GDM. In this review, we examined the challenges in the management of women with GDM after delivery and considered how each of these challenges are defined and could present as a gap in translating evidence to clinical care. We highlighted challenges related to postpartum surveillance, postpartum glucose testing strategies, postpartum risk factor modification, and problems encountered in engagement of patients/providers to implement interventions strategies in women with GDM after delivery. We reasoned that a multisystem approach is needed to address these challenges and to retard progression to DM and cardiovascular disease (CVD) in women with GDM pregnancies. This is very much needed to pave way for an improved, precise, culturally sensitive and wholistic care for women with GDM.
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Affiliation(s)
- Pei Chia Eng
- Department of Endocrinology, National University Health Systems, Singapore, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Digestion, Metabolism and Reproduction, Imperial College London, London, United Kingdom
| | - Ada Ee Der Teo
- Department of Endocrinology, National University Health Systems, Singapore, Singapore
| | - Tong Wei Yew
- Department of Endocrinology, National University Health Systems, Singapore, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Chin Meng Khoo
- Department of Endocrinology, National University Health Systems, Singapore, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
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Simmons D, Gupta Y, Hernandez TL, Levitt N, van Poppel M, Yang X, Zarowsky C, Backman H, Feghali M, Nielsen KK. Call to action for a life course approach. Lancet 2024; 404:193-214. [PMID: 38909623 DOI: 10.1016/s0140-6736(24)00826-2] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Revised: 04/08/2024] [Accepted: 04/19/2024] [Indexed: 06/25/2024]
Abstract
Gestational diabetes remains the most common medical disorder in pregnancy, with short-term and long-term consequences for mothers and offspring. New insights into pathophysiology and management suggest that the current gestational diabetes treatment approach should expand from a focus on late gestational diabetes to a personalised, integrated life course approach from preconception to postpartum and beyond. Early pregnancy lifestyle intervention could prevent late gestational diabetes. Early gestational diabetes diagnosis and treatment has been shown to be beneficial, especially when identified before 14 weeks of gestation. Early gestational diabetes screening now requires strategies for integration into routine antenatal care, alongside efforts to reduce variation in gestational diabetes care, across settings that differ between, and within, countries. Following gestational diabetes, an oral glucose tolerance test should be performed 6-12 weeks postpartum to assess the glycaemic state. Subsequent regular screening for both dysglycaemia and cardiometabolic disease is recommended, which can be incorporated alongside other family health activities. Diabetes prevention programmes for women with previous gestational diabetes might be enhanced using shared decision making and precision medicine. At all stages in this life course approach, across both high-resource and low-resource settings, a more systematic process for identifying and overcoming barriers to preventative care and treatment is needed to reduce the current global burden of gestational diabetes.
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Affiliation(s)
- David Simmons
- School of Medicine, Western Sydney University, Sydney, NSW, Australia.
| | - Yashdeep Gupta
- Department of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, India
| | - Teri L Hernandez
- College of Nursing, University of Colorado, Aurora, CO, USA; Department of Medicine, Division of Endocrinology, Metabolism, and Diabetes, University of Colorado School of Medicine, Aurora, CO, USA; Children's Hospital Colorado, Anschutz Medical Campus, Aurora, CO, USA
| | - Naomi Levitt
- Chronic Disease Initiative for Africa, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Mireille van Poppel
- Department of Human Movement Science, Sport and Health, University of Graz, Graz, Austria
| | - Xilin Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Christina Zarowsky
- Department of Social and Preventive Medicine, University of Montréal, Montréal, QC, Canada; CReSP Public Health Research Centre, Montréal, QC, Canada
| | - Helena Backman
- Department of Obstetrics and Gynecology, Faculty of Medicine and Health, Örebro University, Örebro, Sweden
| | - Maisa Feghali
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh, PA, USA
| | - Karoline Kragelund Nielsen
- Department of Prevention, Health Promotion and Community Care, Steno Diabetes Center Copenhagen, Herlev, Denmark
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Melamed N, Avnon T, Barrett J, Fox N, Rebarber A, Shah BR, Halperin I, Retnakaran R, Berger H, Kingdom J, Hiersch L. Gestational diabetes in twin pregnancies-a pathology requiring treatment or a benign physiological adaptation? Am J Obstet Gynecol 2024; 231:92-104.e4. [PMID: 38218511 DOI: 10.1016/j.ajog.2024.01.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 01/08/2024] [Accepted: 01/09/2024] [Indexed: 01/15/2024]
Abstract
There is level-1 evidence that screening for and treating gestational diabetes in singleton pregnancies reduce maternal and neonatal morbidity. However, similar data for gestational diabetes in twin pregnancies are currently lacking. Consequently, the current approach for the diagnosis and management of gestational diabetes in twin pregnancies is based on the same diagnostic criteria and glycemic targets used in singleton pregnancies. However, twin pregnancies have unique physiological characteristics, and many of the typical gestational diabetes-related complications are less relevant for twin pregnancies. These differences raise the question of whether the greater increase in insulin resistance observed in twin pregnancies (which is often diagnosed as diet-treated gestational diabetes) should be considered physiological and potentially beneficial in which case alternative criteria should be used for the diagnosis of gestational diabetes in twin pregnancies. In this review, we summarize the most up-to-date evidence on the epidemiology, pathophysiology, and clinical consequences of gestational diabetes in twin pregnancies and review the available data on twin-specific screening and diagnostic criteria for gestational diabetes. Although twin pregnancies are associated with a higher incidence of diet-treated gestational diabetes, diet-treated gestational diabetes in twin pregnancies is less likely to be associated with adverse outcomes and accelerated fetal growth than in singleton pregnancies and may reduce the risk for intrauterine growth restriction. In addition, there is currently no evidence that treatment of diet-treated gestational diabetes in twin pregnancies improves outcomes, whereas preliminary data suggest that strict glycemic control in such cases might increase the risk for intrauterine growth restriction. Overall, these findings provide support to the hypothesis that the greater transient increase in insulin resistance observed in twin pregnancies is merely a physiological exaggeration of the normal increase in insulin resistance observed in singleton pregnancies (that is meant to support 2 fetuses) rather than a pathology that requires treatment. These data illustrate the need to develop twin-specific screening and diagnostic criteria for gestational diabetes to avoid overdiagnosis of gestational diabetes and to reduce the risks associated with overtreatment of diet-treated gestational diabetes in twin pregnancies. Although data on twin-specific screening and diagnostic criteria are presently scarce, preliminary data suggest that the optimal screening and diagnostic criteria in twin pregnancies are higher than those currently used in singleton pregnancies.
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Affiliation(s)
- Nir Melamed
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Sunnybrook Health Sciences Centre, University of Toronto, Ontario, Canada; Department of Obstetrics and Gynecology, Faculty of Medicine, University of Toronto, Ontario, Canada.
| | - Tomer Avnon
- Lis Maternity Hospital, Sourasky Medical Center and Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Jon Barrett
- Department of Obstetrics and Gynecology, McMaster University, Hamilton, Ontario, Canada
| | - Nathan Fox
- Icahn School of Medicine at Mount Sinai, New York, NY; Maternal Fetal Medicine Associates, PLLC, New York, NY
| | - Andrei Rebarber
- Icahn School of Medicine at Mount Sinai, New York, NY; Maternal Fetal Medicine Associates, PLLC, New York, NY
| | - Baiju R Shah
- Institute for Clinical Evaluative Sciences, Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Ontario, Canada; Institute for Health Policy, Management, and Evaluation, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, University of Toronto, Ontario, Canada; Division of Endocrinology, Sunnybrook Health Sciences Centre, University of Toronto, Ontario, Canada
| | - Ilana Halperin
- Division of Endocrinology, Sunnybrook Health Sciences Centre, University of Toronto, Ontario, Canada
| | - Ravi Retnakaran
- Leadership Sinai Centre for Diabetes, Mount Sinai Hospital, Toronto, ON, Canada; Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON, Canada; Division of Endocrinology, University of Toronto, Toronto, ON, Canada
| | - Howard Berger
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, St Michael's Hospital, Toronto, Ontario, Canada
| | - John Kingdom
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Mount Sinai Hospital, Toronto, Ontario, Canada
| | - Liran Hiersch
- Lis Maternity Hospital, Sourasky Medical Center and Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
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Gupta Y, Goyal A, Ambekar S, Kalaivani M, Bhatla N, Tandon N. Postpartum glycemic and cardiometabolic profile of women testing positive for gestational diabetes mellitus by International Association of Diabetes and Pregnancy Study Groups (IADPSG) but negative by alternate criteria: Insights from CHIP-F study. Diabetes Metab Syndr 2024; 18:103064. [PMID: 38959545 DOI: 10.1016/j.dsx.2024.103064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 06/16/2024] [Accepted: 06/19/2024] [Indexed: 07/05/2024]
Abstract
OBJECTIVE To evaluate burden of postpartum diabetes and other cardiometabolic risk factors among women who test positive for gestational diabetes mellitus (GDM) by International Association of Diabetes and Pregnancy Study Groups (IADPSG) criteria, but negative by alternate criteria. METHODS This prospective cross-sectional study was conducted from 2019 to 2022 and is a sub-study of the CHIP-F cohort (Cohort Study of Indian Women with Hyperglycemia in Pregnancy and their Families). RESULTS Study participants (n = 826; 183 with normoglycemia and 643 with GDM using IADPSG criteria) were evaluated at a median (IQR) postpartum interval of 31 (21-45) months. Using the United Kingdom National Institute of Health and Care Excellence (UK NICE), Canadian Diabetes Association (CDA), and Diabetes in Pregnancy Study Group India (DIPSI) criteria, 251 (39.0 %), 148 (23.0 %) and 384 (59.7 %) women who tested positive for GDM by IADPSG criteria, would have tested negative. The incidence of postpartum diabetes among such women was 30.4, 34.3, and 48.2 per 1000 women-years, respectively, which was significantly higher than those testing negative by both IADPSG and UK NICE (5.0 per 1000 women-years), IADPSG and CDA (9.2/1000 women-years) and IADPSG and DIPSI criteria (5.0/1000 women-years). The burden of obesity and metabolic syndrome was also significantly higher in such women. CONCLUSIONS We found a significant burden of postpartum diabetes and cardiometabolic risk factors among women who tested positive for GDM by IADPSG, but negative by alternate criteria. There are potential clinical implications of a "failed" diagnosis for future cardiometabolic diseases that need to be carefully examined.
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Affiliation(s)
- Yashdeep Gupta
- Department of Endocrinology & Metabolism, All India Institute of Medical Sciences, New Delhi, India.
| | - Alpesh Goyal
- Department of Endocrinology & Metabolism, All India Institute of Medical Sciences, New Delhi, India
| | - Samita Ambekar
- Department of Endocrinology & Metabolism, All India Institute of Medical Sciences, New Delhi, India
| | - Mani Kalaivani
- Department of Statistics, All India Institute of Medical Sciences, New Delhi, India
| | - Neerja Bhatla
- Department of Obstetrics and Gynaecology, All India Institute of Medical Sciences, New Delhi, India
| | - Nikhil Tandon
- Department of Endocrinology & Metabolism, All India Institute of Medical Sciences, New Delhi, India
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10
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Yang M, Cao Z, Zhu W, Feng X, Zhou J, Liu J, Zhong Y, Zhou Y, Mei H, Cai X, Hu L, Zhou A, Xiao H. Associations between OGTT results during pregnancy and offspring TSH levels: a birth cohort study. BMC Pregnancy Childbirth 2024; 24:375. [PMID: 38760653 PMCID: PMC11100047 DOI: 10.1186/s12884-024-06554-4] [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: 01/25/2024] [Accepted: 04/29/2024] [Indexed: 05/19/2024] Open
Abstract
BACKGROUND Limited evidence exists regarding the association between gestational diabetes mellitus (GDM) and elevated levels of thyroid-stimulating hormone (TSH) in newborns. Therefore, this study aimed to investigate the potential risk of elevated TSH levels in infants exposed to maternal GDM, considering the type and number of abnormal values obtained from the 75-gram oral glucose tolerance test (OGTT). METHODS A population-based, prospective birth cohort study was conducted in Wuhan, China. The study included women who underwent GDM screening using a 75-g OGTT. Neonatal TSH levels were measured via a time-resolved immunofluorescence assay. We estimated and stratified the overall risk (adjusted Risk Ratio [RR]) of elevated TSH levels (defined as TSH > 10 mIU/L or > 20 mIU/L) in offspring based on the type and number of abnormal OGTT values. RESULTS Out of 15,236 eligible mother-offspring pairs, 11.5% (1,753) of mothers were diagnosed with GDM. Offspring born to women diagnosed with GDM demonstrated a statistically significant elevation in TSH levels when compared to offspring of non-GDM mothers, with a mean difference of 0.20 [95% CI: 0.04-0.36]. The incidence of elevated TSH levels (TSH > 10 mIU/L) in offspring of non-GDM women was 6.3 per 1,000 live births. Newborns exposed to mothers with three abnormal OGTT values displayed an almost five-fold increased risk of elevated TSH levels (adjusted RR 4.77 [95% CI 1.64-13.96]). Maternal fasting blood glucose was independently and positively correlated with neonatal TSH levels and elevated TSH status (TSH > 20 mIU/L). CONCLUSIONS For newborns of women with GDM, personalized risk assessment for elevated TSH levels can be predicated on the type and number of abnormal OGTT values. Furthermore, fasting blood glucose emerges as a critical predictive marker for elevated neonatal TSH status.
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Affiliation(s)
- Meng Yang
- Institute of Maternal and Child Health, Tongji Medical College, Wuhan Children's Hospital (Wuhan Maternal and Child Health care Hospital, Huazhong University of Science and Technology, Wuhan, 430000, China
| | - Zhongqiang Cao
- Institute of Maternal and Child Health, Tongji Medical College, Wuhan Children's Hospital (Wuhan Maternal and Child Health care Hospital, Huazhong University of Science and Technology, Wuhan, 430000, China
| | - Wanting Zhu
- Department of Obstetrics, Tongji Medical College, Wuhan Children's Hospital (Wuhan Maternal and Child Health care Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaoyuan Feng
- Department of echocardiography, Tongji Medical College, Wuhan Children's Hospital (Wuhan Maternal and Child Health care Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Jieqiong Zhou
- Department of Obstetrics, Tongji Medical College, Wuhan Children's Hospital (Wuhan Maternal and Child Health care Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Jiuying Liu
- Department of Obstetrics, Tongji Medical College, Wuhan Children's Hospital (Wuhan Maternal and Child Health care Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Yuanyuan Zhong
- Department of Obstetrics, Tongji Medical College, Wuhan Children's Hospital (Wuhan Maternal and Child Health care Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Yan Zhou
- Department of Obstetrics, Tongji Medical College, Wuhan Children's Hospital (Wuhan Maternal and Child Health care Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Hong Mei
- Institute of Maternal and Child Health, Tongji Medical College, Wuhan Children's Hospital (Wuhan Maternal and Child Health care Hospital, Huazhong University of Science and Technology, Wuhan, 430000, China
| | - Xiaonan Cai
- Institute of Maternal and Child Health, Tongji Medical College, Wuhan Children's Hospital (Wuhan Maternal and Child Health care Hospital, Huazhong University of Science and Technology, Wuhan, 430000, China
| | - Liqin Hu
- Institute of Maternal and Child Health, Tongji Medical College, Wuhan Children's Hospital (Wuhan Maternal and Child Health care Hospital, Huazhong University of Science and Technology, Wuhan, 430000, China
| | - Aifen Zhou
- Institute of Maternal and Child Health, Tongji Medical College, Wuhan Children's Hospital (Wuhan Maternal and Child Health care Hospital, Huazhong University of Science and Technology, Wuhan, 430000, China.
| | - Han Xiao
- Institute of Maternal and Child Health, Tongji Medical College, Wuhan Children's Hospital (Wuhan Maternal and Child Health care Hospital, Huazhong University of Science and Technology, Wuhan, 430000, China.
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11
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Tsur N, Frankel M, Cahn A, Tsur A. Gestational diabetes and risk of future diabetes in a multi-ethnic population. J Diabetes Complications 2024; 38:108720. [PMID: 38452402 DOI: 10.1016/j.jdiacomp.2024.108720] [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: 02/03/2024] [Revised: 02/28/2024] [Accepted: 03/02/2024] [Indexed: 03/09/2024]
Abstract
AIM To investigate ethnic disparities in risk of gestational diabetes-mellitus (GDM) and future diabetes. METHODS A population-based retrospective cohort study of women who underwent a 100-g oral glucose-tolerance-test (oGTT) during pregnancy between 2007 and 2017 in Clalit-Health-Services of the Jerusalem district. Univariate and multivariate logistic regression analyses were used to compare the risk of GDM in Arab versus Jewish women. Further, Cox-regression analysis was used to establish the risk of future diabetes. RESULTS A total of 9875 women, 71 % of Jewish ethnicity and 29 % of Arab ethnicity were included. Arab women had a higher incidence of GDM compared to Jewish women (17.3 % vs. 10.6 %, p < 0.001), which persisted after adjusting for age, BMI, and metabolic profile (aOR 1.7; CI 1.48-2.0, P < 0.001). Additionally, Arab ethnicity was associated with an increased risk of future diabetes, even after adjusting for GDM status (aHR 5.9; 95 % CI 3.7-9.4, P < 0.001). CONCLUSIONS Women of Arab ethnicity have a higher risk for both GDM and future diabetes, a risk that is beyond the initial increased risk associated with GDM. These findings highlight the need for increased focus on preventing diabetes in women of Arab ethnicity, especially those with a history of GDM.
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Affiliation(s)
- Noa Tsur
- Department of Internal Medicine, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
| | - Meir Frankel
- Endocrinology Unit, Shaare Zedek Medical Center, Jerusalem, Israel; Department of Endocrinology and Metabolism, Clalit Health Services, Jerusalem, Israel
| | - Avivit Cahn
- The Diabetes Unit, Department of Endocrinology and Metabolism, Hadassah Medical Center, Jerusalem, Israel; The Faculty of Medicine, Hadassah Hebrew University, Jerusalem, Israel
| | - Anat Tsur
- Department of Endocrinology and Metabolism, Clalit Health Services, Jerusalem, Israel; The Faculty of Medicine, Hadassah Hebrew University, Jerusalem, Israel.
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12
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Eades CE, Burrows KA, Andreeva R, Stansfield DR, Evans JM. Prevalence of gestational diabetes in the United States and Canada: a systematic review and meta-analysis. BMC Pregnancy Childbirth 2024; 24:204. [PMID: 38491497 PMCID: PMC10941381 DOI: 10.1186/s12884-024-06378-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 02/28/2024] [Indexed: 03/18/2024] Open
Abstract
BACKGROUND An understanding of the prevalence of gestational diabetes mellitus among pregnant women is essential at local, national and international level so that appropriate health care interventions can be planned, financed and delivered. METHODS A systematic review and meta-analysis of primary research reporting the prevalence of gestational diabetes mellitus in Canada or the United States were carried out according to Meta-analysis of Observational Studies in Epidemiology guidelines. Four electronic databases were systematically searched in June 2023 to identify articles that reported gestational diabetes mellitus prevalence using universal screening in pregnant women from eligible general population samples. Estimates were combined using a random effects model, and the effects of moderator variables analysed. RESULTS There were 36 separate samples of women or deliveries (total sample size 1,550,917). Overall mean prevalence of gestational diabetes mellitus was 6.9% (95% CI: 5.7-8.3); 13.7% (95% CI: 10.7-17.3) in studies using a one-step screening strategy, and 5.2% (95% CI: 4.4-6.1) in those using a two-step strategy. Heterogeneity in technical methods between studies produced differences in estimates, as did different diagnostic thresholds used. CONCLUSIONS The meta-analysis suggests a slightly higher prevalence of gestational diabetes mellitus in Canada and the United States, compared to Europe, but highlights the need for standardised protocols for estimating gestational diabetes mellitus prevalence.
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Affiliation(s)
- Claire E Eades
- Faculty of Health Sciences and Sport, University of Stirling, Stirling, FK9 4LA, Scotland, UK.
| | - Katherine A Burrows
- Faculty of Health Sciences and Sport, University of Stirling, Stirling, FK9 4LA, Scotland, UK
| | - Roza Andreeva
- Faculty of Health Sciences and Sport, University of Stirling, Stirling, FK9 4LA, Scotland, UK
| | | | - Josie Mm Evans
- Faculty of Health Sciences and Sport, University of Stirling, Stirling, FK9 4LA, Scotland, UK
- Public Health Scotland, Edinburgh, Scotland
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13
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Tsur N, Pollack R, Frankel M, Tsur A. Future diabetes risk can be predicted by the number of abnormal oral glucose tolerance test values during pregnancy. Diabetes Obes Metab 2024; 26:1050-1056. [PMID: 38112029 DOI: 10.1111/dom.15406] [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: 09/27/2023] [Revised: 11/08/2023] [Accepted: 11/24/2023] [Indexed: 12/20/2023]
Abstract
AIM To quantify the future risk of type 2 diabetes (T2D) in women with gestational diabetes (GD) based on baseline metabolic characteristics and the number of abnormal values during a 3-hour 100-g oral glucose tolerance test (OGTT). MATERIALS AND METHODS We conducted a population-based retrospective cohort study of 10 023 pregnant women who underwent testing for GD in a large health maintenance organization in Israel using a 100-g OGTT. Glucose values were obtained at four time points, 0, 60, 120 and 180 minutes. RESULTS We identified 9939 women who met the study criteria. Median follow-up was 3.25 (interquartile range 1.5-5.1; maximum 10.1) years. Using women without GD as reference, women with GD were at an increased risk of future T2D (hazard ratio [HR] 5.33 [95% confidence interval {CI} 3.86-7.34]). This risk increased with a greater number of abnormal OGTT values, with the highest risk seen in women with four abnormal values (HR 16.67 [95% CI 7.94-35.01]). In a multivariate model, a higher number of abnormal values, Arab ethnicity, higher body mass index, triglycerides and prepregnancy glucose were significantly associated with increased risk. Future T2D risk was also affected by the type of OGTT abnormality; an abnormal fasting value had the greatest risk, whereas an abnormal 3-hour value had the lowest risk (HR 3.61 [95% CI 2.42-5.38] vs. 1.50 [95% CI 0.93-2.43], respectively). CONCLUSIONS GD is a heterogenous disease, with varying degrees of glucose intolerance and subsequent T2D risk. Targeting interventions to women at the highest risk may help to improve postpartum adherence and effective long-term follow-up strategies.
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Affiliation(s)
- Noa Tsur
- Department of Internal Medicine, Tel Aviv Sourasky Medical Centre, Tel Aviv, Israel
| | - Rena Pollack
- Department of Endocrinology and Metabolism, Hadassah Medical Centre, Jerusalem, Israel
- The Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Meir Frankel
- Endocrinology Unit, Shaare Zedek Medical Centre, Jerusalem, Israel
- Department of Endocrinology and Metabolism, Clalit Health Services, Jerusalem, Israel
| | - Anat Tsur
- The Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
- Department of Endocrinology and Metabolism, Clalit Health Services, Jerusalem, Israel
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14
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Yeung RO, Retnakaran R, Savu A, Butalia S, Kaul P. Gestational diabetes: One size does not fit all-an observational study of maternal and neonatal outcomes by maternal glucose profile. Diabet Med 2024; 41:e15205. [PMID: 37594456 DOI: 10.1111/dme.15205] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 06/28/2023] [Accepted: 08/14/2023] [Indexed: 08/19/2023]
Abstract
OBJECTIVES To examine obstetrical and neonatal outcomes across maternal glucose profiles at the population level and to explore insulin sensitivity and beta-cell function across profiles in an independent, well-phenotyped cohort for potential pathophysiologic explanation. RESEARCH DESIGN AND METHODS Observational cohort study of all pregnancies with gestational diabetes screening between October 2008 and December 2018 resulting in live singleton birth in Alberta, Canada (n = 436,773) were categorized into seven maternal glucose profiles: (1) normal 50 g-glucose challenge test (nGCT), (2) normal 75-g OGTT (nOGTT), (3) isolated elevated 1 h post-load glucose (ePLPG1), (4) isolated elevated 2 h post-load glucose (ePLPG2), (5) elevated 1 and 2 h post-load glucose (ePLPG12), (6) isolated elevated FPG (eFPG), and (7) elevated FPG + elevated 1-h and/or 2-h PLG (Combined). Primary outcomes were large for gestational age (LGA) and neonatal intensive care unit (NICU) admission rates. An independent observational cohort of 1451 women was examined for measures of beta-cell function (ISSI-2, insulinogenic index/HOMA-IR) and insulin sensitivity/resistance (Matsuda index, HOMA-IR) by similar maternal glucose profiles. RESULTS Pregnancies with elevated FPG, either isolated or combined, had higher adverse events and lower insulin sensitivity. The combination of elevated FPG + elevated 1-h and/or 2-h PLG had the highest rates of LGA(20.9%), NICU admissions (14.7%), and lowest insulin sensitivity as measured by Matsuda index and HOMA-IR, and beta-cell function as measured by ISSI-2 and Insulinogenic index/HOMA-IR. CONCLUSIONS Elevated fasting plasma glucose, either alone or combined with post-load glucose elevation is associated with worse outcomes than isolated post-load glucose elevation, possibly due to higher degrees of insulin resistance. Future work is needed to better understand these differences, and explore whether tailored treatment of GDM can improve neonatal outcomes.
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Affiliation(s)
- Roseanne O Yeung
- Division of Endocrinology & Metabolism and Office of Lifelong Learning/Physician Learning Program, Faculty of Medicine & Dentistry, University of Alberta, Alberta, Edmonton, Canada
| | - Ravi Retnakaran
- Division of Endocrinology, University of Toronto, Toronto, Canada
| | - Anamaria Savu
- Division of Cardiology, Department of Medicine, University of Alberta, Alberta, Edmonton, Canada
- Canadian VIGOUR Centre, University of Alberta, Alberta, Edmonton, Canada
| | - Sonia Butalia
- Division of Endocrinology, Departments of Medicine and Community Health Sciences, University of Calgary, Alberta, Calgary, Canada
| | - Padma Kaul
- Division of Cardiology, Department of Medicine, University of Alberta, Alberta, Edmonton, Canada
- Canadian VIGOUR Centre, University of Alberta, Alberta, Edmonton, Canada
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15
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Zhang E, Su S, Gao S, Zhang Y, Liu J, Xie S, Yue W, Liu R, Yin C. Is glucose pattern of OGTT associated with late-onset gestational diabetes and adverse pregnant outcomes? Ann Med 2024; 55:2302516. [PMID: 38253012 PMCID: PMC10810615 DOI: 10.1080/07853890.2024.2302516] [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: 08/23/2023] [Accepted: 01/02/2024] [Indexed: 01/24/2024] Open
Abstract
BACKGROUND The heterogeneity of oral glucose tolerance test (OGTT) patterns during pregnancy remains unclear. This study aims to identify latent OGTT patterns in pregnant women and investigate the high-risk population for late-onset gestational diabetes mellitus (GDM). METHODS This study including 17,723 participants was conducted from 2018 to 2021. Latent mixture modeling was used to identify subgroups. Modified Poisson regression was performed to explore the relationship between OGTT patterns and late-onset GDM or adverse perinatal outcomes. RESULTS Three distinct glucose patterns, high, medium, and low glucose levels (HG, MG, and LG patterns) were identified. The HG pattern represented 28.5% of the participants and 5.5% of them developed late-onset GDM. A five-fold higher risk of late-onset GDM was found in HG pattern than in LG pattern (relative risk [RR]: 5.17, 95% confidence interval [CI]: 3.38-7.92) after adjustment. Participants in HG pattern were more likely to have macrosomia, large for gestational age, preterm birth, and cesarean deliveries, with RRs of 1.59 (1.31-1.93), 1.55 (1.33-1.82), 1.30 (1.02-1.64) and 1.15 (1.08-1.23), respectively. CONCLUSION Three distinct OGTT patterns presented different risks of late-onset GDM and adverse perinatal outcomes, indicating that timely monitoring of glucose levels after OGTT should be performed in pregnant women with HG pattern.
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Affiliation(s)
- Enjie Zhang
- Department of Central Laboratory, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Shaofei Su
- Department of Central Laboratory, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Shen Gao
- Department of Central Laboratory, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Yue Zhang
- Department of Research Management, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Jianhui Liu
- Department of Central Laboratory, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Shuanghua Xie
- Department of Central Laboratory, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Wentao Yue
- Department of Research Management, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Ruixia Liu
- Department of Central Laboratory, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Chenghong Yin
- Department of Central Laboratory, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China
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Mittendorfer B, Patterson BW, Haire-Joshu D, Cahill AG, Cade WT, Stein RI, Klein S. Insulin Sensitivity and β-Cell Function During Early and Late Pregnancy in Women With and Without Gestational Diabetes Mellitus. Diabetes Care 2023; 46:2147-2154. [PMID: 37262059 PMCID: PMC10698210 DOI: 10.2337/dc22-1894] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Accepted: 05/04/2023] [Indexed: 06/03/2023]
Abstract
OBJECTIVE To evaluate the metabolic alterations associated with gestational diabetes mellitus (GDM) in women with overweight or obesity. RESEARCH DESIGN AND METHODS We compared fasting and postprandial plasma glucose and free fatty acid (FFA) concentrations, insulin sensitivity (IS; Matsuda index), and β-cell function (i.e., β-cell responsiveness to glucose) by using a frequently sampled oral glucose tolerance test (OGTT) at 15 and 35 weeks' gestation in women with overweight or obesity who had GDM (n = 29) or did not have GDM (No-GDM; n = 164) at 35 weeks. RESULTS At 15 weeks, IS and β-cell function were lower, and fasting, 1-h, and total area-under-the-curve plasma glucose concentrations during the OGTT were higher (all P < 0.05) in the GDM than in the No-GDM group. At 35 weeks compared with 15 weeks, IS decreased, β-cell function increased, and postprandial suppression of plasma FFA was blunted in both the GDM and No-GDM groups, but the decrease in IS and the increase in postprandial FFA concentration were greater and the increase in β-cell function was less (all P ≤ 0.05) in the GDM than in the No-GDM group. A receiver operating characteristic curve analysis showed that both fasting plasma glucose and 1-h OGTT glucose concentration at 15 weeks are predictors of GDM, but the predictive power was <30%. CONCLUSIONS Women with overweight or obesity and GDM, compared with those without GDM, have worse IS and β-cell function early during pregnancy and a greater subsequent decline in IS and blunted increase in β-cell function. Increased fasting and 1-h OGTT plasma glucose concentration early during pregnancy are markers of increased GDM risk, albeit with weak predictive power.
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Affiliation(s)
| | | | | | - Alison G. Cahill
- Department of Obstetrics and Gynecology, Washington University, St. Louis, MO
- Department of Women’s Health, The University of Texas at Austin, Dell Medical School, Austin, TX
| | - W. Todd Cade
- Program in Physical Therapy, Washington University, St. Louis, MO
| | - Richard I. Stein
- Center for Human Nutrition, Washington University, St. Louis, MO
| | - Samuel Klein
- Center for Human Nutrition, Washington University, St. Louis, MO
- Sansum Diabetes Research Institute, Santa Barbara, CA
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17
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Liang XC, Savu A, Ngwezi D, Butalia S, Kaul P, Yeung RO. Association Between Maternal Glucose Levels in Gestational Diabetes Screening and Subsequent Hypertension. Hypertension 2023; 80:1921-1928. [PMID: 37449406 DOI: 10.1161/hypertensionaha.123.21179] [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: 03/11/2023] [Accepted: 06/26/2023] [Indexed: 07/18/2023]
Abstract
BACKGROUND We assessed the association between maternal glucose levels in pregnancy and subsequent hypertension. METHODS This population-level, retrospective cohort study examined women aged 12 to 54 years with singleton pregnancies completed at ≥29 weeks of gestation from October 1, 2008 to December 1, 2018 followed until March 31, 2019 in Alberta, Canada. Women were stratified by results in the 50-gram glucose challenge test and by 75-gram oral glucose tolerance test subtypes (normal oral glucose tolerance test, elevated fasting plasma glucose only [elevated fasting], elevated postload glucose only, or both elevated fasting and postload glucose [combined]. Time to development of hypertension was modeled using Cox proportional hazards models. RESULTS Of 313 361 women, 231 008 (79.1%) underwent a glucose challenge test only while 60 909 (20.9%) underwent either an oral glucose tolerance test only or both. Nine thousand five hundred eighty (3.1%) developed hypertension, and 2824 (0.9%) developed cardiovascular disease over a median follow-up of 5.7 years. Every 1-mmol/L increase in glucose in the glucose challenge test increased the risk of subsequent hypertension by 15% (adjusted hazard ratio and 95% CI, 1.15 [1.14-1.16]). Among those who underwent the oral glucose tolerance test, the combined group conferred the highest risk of subsequent hypertension, followed by elevated fasting, then elevated postload glucose only (reference: glucose challenge test ≤7.1 mmol/L, adjusted hazard ratio [95% CI]: elevated postload glucose only, 1.83 [1.68-2.00]; elevated fasting 2.02 [1.70-2.40]; combined, 2.65 [2.33-3.01]). No significant associations between maternal glucose levels and cardiovascular disease were observed. CONCLUSIONS Increasing maternal glucose levels in pregnancy were associated with increasing risk of subsequent hypertension. These findings may help identify higher-risk women who should be targeted for earlier postpartum cardiovascular risk reduction.
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Affiliation(s)
- Xinyun Christie Liang
- Faculty of Medicine and Dentistry (X.L., D.N., P.K., R.O.Y.), University of Alberta, Canada
| | - Anamaria Savu
- Canadian VIGOUR Center (A.S., P.K.), University of Alberta, Canada
| | - Deliwe Ngwezi
- Faculty of Medicine and Dentistry (X.L., D.N., P.K., R.O.Y.), University of Alberta, Canada
| | - Sonia Butalia
- Department of Community Health Sciences (S.B.), Cumming School of Medicine, University of Calgary, Alberta, Canada
- Division of Endocrinology and Metabolism, Department of Medicine (S.B.), Cumming School of Medicine, University of Calgary, Alberta, Canada
| | - Padma Kaul
- Faculty of Medicine and Dentistry (X.L., D.N., P.K., R.O.Y.), University of Alberta, Canada
- Canadian VIGOUR Center (A.S., P.K.), University of Alberta, Canada
| | - Roseanne O Yeung
- Faculty of Medicine and Dentistry (X.L., D.N., P.K., R.O.Y.), University of Alberta, Canada
- Division of Endocrinology and Metabolism (R.O.Y.), University of Alberta, Canada
- Physician Learning Program (R.O.Y.), University of Alberta, Canada
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18
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Bardugo A, Bendor CD, Rotem RS, Tsur AM, Derazne E, Gerstein HC, Tzur D, Pinhas-Hamiel O, Cukierman-Yaffe T, Raz I, Hod M, Tirosh A, Lebenthal Y, Afek A, Chodick G, Twig G. Glucose intolerance in pregnancy and risk of early-onset type 2 diabetes: a population-based cohort study. Lancet Diabetes Endocrinol 2023; 11:333-344. [PMID: 37011646 DOI: 10.1016/s2213-8587(23)00062-1] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/25/2022] [Revised: 03/01/2023] [Accepted: 03/01/2023] [Indexed: 04/05/2023]
Abstract
BACKGROUND The risk of type 2 diabetes among women with glucose intolerance during pregnancy that does not meet gestational diabetes criteria requires further investigation. We aimed to explore the associations between various degrees of gestational glucose intolerance and the risk of type 2 diabetes in young adulthood. METHODS For this population-based cohort study, the national Israeli conscription database was linked to Maccabi Healthcare Services (MHS), the second-largest state-mandated health provider in Israel. We included 177 241 women who underwent a pre-recruitment evaluation at adolescence (age 16-20 years), 1 year before mandatory military service, and later underwent, from Jan 1, 2001, to Dec 31, 2019, two-step gestational diabetes screening with a 50 g glucose challenge test (GCT) based on a threshold of 140 mg/dL (7·8 mmol/L), followed as needed by a 100 g oral glucose tolerance test (OGTT). Abnormal OGTT values were defined according to the Carpenter-Coustan thresholds: 95 mg/dL (5·3 mmol/L) or higher in the fasting state; 180 mg/dL (10·0 mmol/L) or higher at 1 h; 155 mg/dL (8·6 mmol/L) or higher at 2 h; and 140 mg/dL (7·8 mmol/L) or higher at 3 h. The primary outcome was incident type 2 diabetes in the MHS diabetes registry. Cox proportional hazards models were applied to estimate adjusted hazard ratios (HRs) with 95% CIs for incident type 2 diabetes. FINDINGS During a cumulative follow-up of 1 882 647 person-years, and with a median follow-up of 10·8 (IQR 5·2-16·4) years, 1262 women were diagnosed with type 2 diabetes. Crude incidence rates of type 2 diabetes were 2·6 (95% CI 2·4-2·9) per 10 000 person-years in women with gestational normoglycaemia, 8·9 (7·4-10·6) per 10 000 person-years in women with an abnormal GCT and normal OGTT, 26·1 (22·4-30·1) per 10 000 person-years in women with one abnormal OGTT value (in the fasting state or 1 h, 2 h, or 3 h post-challenge), and 71·9 (66·0-78·3) per 10 000 person-years in women with gestational diabetes. After adjustment for sociodemographic characteristics, adolescent BMI, and age at gestational screening, the risk of type 2 diabetes was higher, compared to the gestational normoglycaemia group, in women with an abnormal GCT and normal OGTT (adjusted hazard ratio [HR] 3·39 [95% CI 2·77-4·16]; p<0·0001), in women with one abnormal OGTT value (9·11 [7·64-10·86]; p<0·0001), and in women with gestational diabetes (24·84 [21·78-28·34]; p<0·0001). The risk of type 2 diabetes was modestly increased in women with isolated elevated fasting glucose (adjusted HR 11·81 [95% CI 8·58-16·25]; p<0·0001), and in women with gestational diabetes and an abnormal fasting glucose (38·02 [32·41-44·61]; p<0·0001). INTERPRETATION Gestational glucose intolerance, including conditions not meeting gestational diabetes criteria of the two-step strategy, confers a high risk of type 2 diabetes in young adulthood. These conditions should be recognised as risk factors for type 2 diabetes, especially among women with abnormal fasting glucose concentrations during pregnancy. FUNDING None.
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Affiliation(s)
- Aya Bardugo
- Department of Military Medicine, Hebrew University, Jerusalem and the Israel Defense Forces Medical Corps, Ramat Gan, Israel
| | - Cole D Bendor
- Department of Military Medicine, Hebrew University, Jerusalem and the Israel Defense Forces Medical Corps, Ramat Gan, Israel
| | - Ran Shmuel Rotem
- Department of Environmental Health, Harvard T H Chan School of Public Health, Boston, MA, USA; Kahn-Sagol-Maccabi Research and Innovation Institute, Maccabi Healthcare Services, Tel Aviv, Israel
| | - Avishai M Tsur
- Department of Military Medicine, Hebrew University, Jerusalem and the Israel Defense Forces Medical Corps, Ramat Gan, Israel; Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; Department of Medicine "B," Sheba Medical Center, Tel Hashomer, Ramat Gan, Israel
| | - Estela Derazne
- Department of Military Medicine, Hebrew University, Jerusalem and the Israel Defense Forces Medical Corps, Ramat Gan, Israel; Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | | | - Dorit Tzur
- Department of Military Medicine, Hebrew University, Jerusalem and the Israel Defense Forces Medical Corps, Ramat Gan, Israel
| | - Orit Pinhas-Hamiel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; Pediatric Endocrine and Diabetes Unit, Edmond and Lily Safra Children's Hospital, Sheba Medical Center, Ramat Gan, Israel
| | - Tali Cukierman-Yaffe
- Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; Division of Endocrinology, Diabetes and Metabolism, Sheba Medical Center, Ramat Gan, Israel
| | - Itamar Raz
- The Diabetes Unit, Department of Internal Medicine, Hadassah Hebrew University Hospital, Jerusalem, Israel
| | - Moshe Hod
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; Diabetes in Pregnancy Clinic, Perinatal Division, Department of Obstetrics and Gynecology, Beilinson Medical Campus, Petah Tiqva, Israel
| | - Amir Tirosh
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; Division of Endocrinology, Diabetes and Metabolism, Sheba Medical Center, Ramat Gan, Israel
| | - Yael Lebenthal
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; Pediatric Endocrinology and Diabetes Unit, Dana-Dwek Children's Hospital, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
| | - Arnon Afek
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; Central Management, Sheba Medical Center, Ramat Gan, Israel
| | - Gabriel Chodick
- Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; Maccabitech, Maccabi Healthcare Services, Tel Aviv, Israel
| | - Gilad Twig
- Department of Military Medicine, Hebrew University, Jerusalem and the Israel Defense Forces Medical Corps, Ramat Gan, Israel; Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; Division of Endocrinology, Diabetes and Metabolism, Sheba Medical Center, Ramat Gan, Israel; The Gertner Institute for Epidemiology & Health Policy Research, Sheba Medical Center, Ramat Gan, Israel.
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19
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Selen DJ, Thaweethai T, Schulte CC, Hsu S, He W, James K, Kaimal A, Meigs JB, Powe CE. Gestational Glucose Intolerance and Risk of Future Diabetes. Diabetes Care 2023; 46:83-91. [PMID: 36473077 PMCID: PMC9797650 DOI: 10.2337/dc22-1390] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Accepted: 10/10/2022] [Indexed: 12/12/2022]
Abstract
OBJECTIVE Pregnant individuals are universally screened for gestational diabetes mellitus (GDM). Gestational glucose intolerance (GGI) (an abnormal initial GDM screening test without a GDM diagnosis) is not a recognized diabetes risk factor. We tested for an association between GGI and diabetes after pregnancy. RESEARCH DESIGN AND METHODS We conducted a retrospective cohort study of individuals followed for prenatal and primary care. We defined GGI as an abnormal screening glucose-loading test result at ≥24 weeks' gestation with an oral glucose tolerance test (OGTT) that did not meet GDM criteria. The primary outcome was incident diabetes. We used Cox proportional hazards models with time-varying exposures and covariates to compare incident diabetes risk in individuals with GGI and normal glucose tolerance. RESULTS Among 16,836 individuals, there were 20,359 pregnancies with normal glucose tolerance, 2,943 with GGI, and 909 with GDM. Over a median of 8.4 years of follow-up, 428 individuals developed diabetes. Individuals with GGI had increased diabetes risk compared to those with normal glucose tolerance in pregnancy (adjusted hazard ratio [aHR] 2.01 [95% CI 1.54-2.62], P < 0.001). Diabetes risk increased with the number of abnormal OGTT values (zero, aHR 1.54 [1.09-2.16], P = 0.01; one, aHR 2.97 [2.07-4.27], P < 0.001; GDM, aHR 8.26 [6.49-10.51], P < 0.001 for each compared with normal glucose tolerance). The fraction of cases of diabetes 10 years after delivery attributable to GGI and GDM was 8.5% and 28.1%, respectively. CONCLUSIONS GGI confers an increased risk of future diabetes. Routinely available clinical data identify an unrecognized group who may benefit from enhanced diabetes screening and prevention.
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Affiliation(s)
- Daryl J. Selen
- Diabetes Unit, Massachusetts General Hospital, Boston, MA
- Department of Medicine, Massachusetts General Hospital, Boston, MA
- Harvard Medical School, Boston, MA
- Division of Endocrinology, Department of Medicine, Warren Alpert Medical School of Brown University, Providence, RI
| | - Tanayott Thaweethai
- Department of Medicine, Massachusetts General Hospital, Boston, MA
- Harvard Medical School, Boston, MA
- Biostatistics Center, Division of Clinical Research, Massachusetts General Hospital, Boston, MA
| | - Carolin C.M. Schulte
- Biostatistics Center, Division of Clinical Research, Massachusetts General Hospital, Boston, MA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Sarah Hsu
- Diabetes Unit, Massachusetts General Hospital, Boston, MA
- Department of Medicine, Massachusetts General Hospital, Boston, MA
- Broad Institute of MIT and Harvard, Boston, MA
| | - Wei He
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA
| | - Kaitlyn James
- Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA
| | - Anjali Kaimal
- Harvard Medical School, Boston, MA
- Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA
| | - James B. Meigs
- Department of Medicine, Massachusetts General Hospital, Boston, MA
- Harvard Medical School, Boston, MA
- Broad Institute of MIT and Harvard, Boston, MA
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA
| | - Camille E. Powe
- Diabetes Unit, Massachusetts General Hospital, Boston, MA
- Department of Medicine, Massachusetts General Hospital, Boston, MA
- Harvard Medical School, Boston, MA
- Broad Institute of MIT and Harvard, Boston, MA
- Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA
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20
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Juan J, Sun Y, Wei Y, Wang S, Song G, Yan J, Zhou P, Yang H. Progression to type 2 diabetes mellitus after gestational diabetes mellitus diagnosed by IADPSG criteria: Systematic review and meta-analysis. Front Endocrinol (Lausanne) 2022; 13:1012244. [PMID: 36277725 PMCID: PMC9582268 DOI: 10.3389/fendo.2022.1012244] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Accepted: 09/21/2022] [Indexed: 11/26/2022] Open
Abstract
Background To estimate the progression rates to type 2 diabetes mellitus (T2DM) in women with gestational diabetes mellitus (GDM) diagnosed by the International Association of Diabetes and Pregnancy Study Group (IADPSG) criteria. Methods Systematic review and meta-analysis were conducted by searching Medline, Embase, and Cochrane between January 1, 2010 and December 31, 2021 for observational studies investigating progression to T2DM after GDM. Inclusion criteria were IADPSG-diagnosed GDM, studies with both GDM and controls, postpartum follow-up duration at least one year. Data were pooled by random effects meta-analysis models. Heterogeneity was assessed by I2 statistic. The pooled relative risk for incidence of T2DM and pre-diabetes between GDM participants and controls were estimated. Reasons for heterogeneity among studies were investigated by prespecified subgroup and meta-regression analysis. Publication bias was assessed by the Begg's and Egger's tests. Results This meta-analysis of six studies assessed a total of 61932 individuals (21978 women with GDM and 39954 controls). Women with IADPSG-diagnosed GDM were 6.43 times (RR=6.43, 95% CI:3.45-11.96) more likely to develop T2DM in the future compared with controls. For GDM women, the cumulative incidence of T2DM was 12.1% (95% CI: 6.9%-17.3%), while the pooled cumulative incidence of T2DM was estimated to be 8% (95% CI: 5-11%) in studies with 1 to 5 years of follow-up and increased to 19% (95% CI: 3-34%) for studies with more than 5 years of follow-up. Women with IADPSG-diagnosed GDM had 3.69 times (RR=3.69, 95% CI:2.70-5.06) higher risk of developing pre-diabetes (including impaired fasting glucose and/or impaired glucose tolerance) than controls. Meta-regression analysis showed that the study effect size was not significantly associated with study design, race, length of follow-up, and maternal age (P>0.05). Overall, the studies had a relatively low risk of bias. Conclusions Women with IADPSG-diagnosed GDM have higher risk of developing T2DM and pre-diabetes. The risk of T2DM in GDM women are higher with longer follow-up duration. Our results highlight the importance of promoting postpartum screening and keeping health lifestyle as well as pharmacological interventions to delay/prevent the onset of T2DM/pre-diabetes in GDM women. Systematic review registration https://www.crd.york.ac.uk/prospero, identifier (CRD42022314776).
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Affiliation(s)
- Juan Juan
- Department of Obstetrics and Gynecology, Peking University First Hospital, Beijing, China
| | - Yiying Sun
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Yumei Wei
- Department of Obstetrics and Gynecology, Peking University First Hospital, Beijing, China
| | - Shuang Wang
- Department of Obstetrics and Gynecology, Peking University First Hospital, Beijing, China
| | - Geng Song
- Department of Obstetrics and Gynecology, Peking University First Hospital, Beijing, China
| | - Jie Yan
- Department of Obstetrics and Gynecology, Peking University First Hospital, Beijing, China
| | - Pengxiang Zhou
- Department of Pharmacy, Peking University Third Hospital, Beijing, China
- Institute for drug evaluation, Peking University Health Science Center, Beijing, China
| | - Huixia Yang
- Department of Obstetrics and Gynecology, Peking University First Hospital, Beijing, China
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21
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Hao Y, Qu L, Guo Y, Ma L, Guo M, Zhu Y, Jin Y, Gu Q, Zhang Y, Sun W. Association of pre-pregnancy low-carbohydrate diet with maternal oral glucose tolerance test levels in gestational diabetes. BMC Pregnancy Childbirth 2022; 22:734. [PMID: 36162989 PMCID: PMC9511732 DOI: 10.1186/s12884-022-05059-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Accepted: 09/13/2022] [Indexed: 11/17/2022] Open
Abstract
Background Limited evidence exists on the correlation between the pre-pregnancy low-carbohydrate (LC) diet and maternal oral glucose tolerance test (OGTT) levels during pregnancy. Our aim was to compare the differences in maternal OGTT levels among women who had been diagnosed with gestational diabetes mellitus (GDM) during pregnancy and adopted different dietary patterns in the pre-pregnancy period. Methods A case–control study was conducted in 20 women with GDM who adhering to an LC diet (carbohydrate intake < 130 g/d) during pre-conception (LC/GDM,cases). Control subjects, who were matched in a 4:1 ratio, were 80 women with GDM and conventional diet (Con/GDM,control), and 80 women with conventional diet but without GDM (Con/Healthy,control). Women diagnosed with GDM using 75-g OGTT between 24 and 28 weeks of gestation. We used unadjusted raw data to compare the dietary composition data and biomarkers of the three study groups. Results The average pre-conception BMI in each group suggested a similar body size from the three study groups(19.12 ± 2.00 LC/GDM, 19.65 ± 2.32 Con/GDM, 19.53 ± 2.30 Con/Healthy; P = 0.647). Compared with the Con/GDM group, the OGTT-1 h and OGTT-2 h values in LC/GDM group were significantly higher (10.36 ± 1.28 mmol/L vs. 9.75 ± 0.98 mmol/L; 9.12 ± 0.98 mmol/L vs. 8.29 ± 1.06 mmol/L). Furthermore, the percentage of women who had more than one abnormal OGTT value (OGTT-1 h and OGTT-2 h) was 40% in the LC/GDM group, which was significantly higher than in the Con/GDM group (16.3%). Conclusions We observed a relationship between the pre-pregnancy LC diet and more detrimental OGTT values in patients with GDM. This finding warrants further studies to understand the effect of pre-pregnancy LC diet practice on maternal glucose tolerance. Supplementary Information The online version contains supplementary material available at 10.1186/s12884-022-05059-2.
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Affiliation(s)
- Yanhui Hao
- International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University, 910 Hengshan Road, 200030, Shanghai, China.,Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, 200030, China
| | - Lei Qu
- International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University, 910 Hengshan Road, 200030, Shanghai, China
| | - Yuna Guo
- International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University, 910 Hengshan Road, 200030, Shanghai, China
| | - Liying Ma
- International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University, 910 Hengshan Road, 200030, Shanghai, China
| | - Muhe Guo
- Department of Nutrition, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200092, China
| | - Yiqing Zhu
- International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University, 910 Hengshan Road, 200030, Shanghai, China
| | - Yan Jin
- International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University, 910 Hengshan Road, 200030, Shanghai, China
| | - Qin Gu
- International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University, 910 Hengshan Road, 200030, Shanghai, China
| | - Yue Zhang
- International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University, 910 Hengshan Road, 200030, Shanghai, China
| | - Wenguang Sun
- International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University, 910 Hengshan Road, 200030, Shanghai, China.
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22
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Brown SD, Hedderson MM, Zhu Y, Tsai AL, Feng J, Quesenberry CP, Ferrara A. Uptake of guideline-recommended postpartum diabetes screening among diverse women with gestational diabetes: associations with patient factors in an integrated health system in USA. BMJ Open Diabetes Res Care 2022; 10:10/3/e002726. [PMID: 35725017 PMCID: PMC9214412 DOI: 10.1136/bmjdrc-2021-002726] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Accepted: 05/20/2022] [Indexed: 01/01/2023] Open
Abstract
INTRODUCTION Clinical guidelines urge timely postpartum screening for diabetes among women with gestational diabetes mellitus (GDM), yet patient factors associated with screening uptake remain unclear. We aimed to identify patient factors associated with completed postpartum diabetes screening (2-hour oral glucose tolerance test within 4-12 weeks postpartum), as recommended by the American Diabetes Association (ADA). RESEARCH DESIGN AND METHODS Within the context of Gestational Diabetes' Effects on Moms (GEM), a pragmatic cluster randomized trial (2011-2012), we examined survey and electronic health record data to assess clinical and sociodemographic factors associated with uptake of ADA-recommended postpartum screening. Participants included 1642 women (76% racial/ethnic minorities) identified with GDM according to the Carpenter and Coustan criteria in a health system that deploys population-level strategies to promote screening. To contextualize these analyses, screening rates derived from the GEM trial were compared with those in the health system overall using registry data from a concurrent 10-year period (2007-2016, n=21 974). RESULTS Overall 52% (n=857) completed recommended postpartum screening in the analytic sample, comparable to 45.7% (n=10 040) in the registry. Screening in the analytic sample was less likely among women at elevated risk for type 2 diabetes, assessed using items from an ADA risk test (vs non-elevated; adjusted rate ratio (aRR)=0.86 (95% CI 0.75 to 0.98)); perinatal depression (0.88 (0.79 to 0.98)); preterm delivery (0.84 (0.72 to 0.98)); parity ≥2 children (vs 0; 0.80 (0.69 to 0.93)); or less than college education (0.79 (0.72 to 0.86)). Screening was more likely among Chinese Americans (vs White; 1.31 (1.15 to 1.49)); women who attended a routine postpartum visit (5.28 (2.99 to 9.32)); or women who recalled receiving healthcare provider advice about screening (1.31 (1.03 to 1.67)). CONCLUSIONS Guideline-recommended postpartum diabetes screening varied by patient clinical and sociodemographic factors. Findings have implications for developing future strategies to improve postpartum care.
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Affiliation(s)
- Susan D Brown
- Department of Internal Medicine, University of California, Davis, Sacramento, California, USA
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Monique M Hedderson
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Yeyi Zhu
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Ai-Lin Tsai
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Juanran Feng
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Charles P Quesenberry
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Assiamira Ferrara
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
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23
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Gestational diabetes mellitus and COVID-19: results from the COVID-19-Related Obstetric and Neonatal Outcome Study (CRONOS). Am J Obstet Gynecol 2022; 227:631.e1-631.e19. [PMID: 35580632 PMCID: PMC9107100 DOI: 10.1016/j.ajog.2022.05.027] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Revised: 05/05/2022] [Accepted: 05/05/2022] [Indexed: 12/15/2022]
Abstract
Background Gestational diabetes mellitus is one of the most frequent pregnancy complications with a global prevalence of 13.4% in 2021. Pregnant women with COVID-19 and gestational diabetes mellitus are 3.3 times more likely to be admitted to an intensive care unit than women without gestational diabetes mellitus. Data on the association of gestational diabetes mellitus with maternal and neonatal pregnancy outcomes in pregnant women with SARS-CoV-2 infection are lacking. Objective This study aimed to investigate whether gestational diabetes mellitus is an independent risk factor for adverse maternal and fetal and neonatal outcomes in pregnant women with COVID-19. Study Design The COVID-19-Related Obstetric and Neonatal Outcome Study is a registry-based multicentric prospective observational study from Germany and Linz, Austria. Pregnant women with clinically confirmed COVID-19 were enrolled between April 3, 2020, and August 24, 2021, at any stage of pregnancy. Obstetricians and neonatologists of 115 hospitals actively provided data to the COVID-19-Related Obstetric and Neonatal Outcome Study. For collecting data, a cloud-based electronic data platform was developed. Women and neonates were observed until hospital discharge. Information on demographic characteristics, comorbidities, medical history, COVID-19–associated symptoms and treatments, pregnancy, and birth outcomes were entered by the local sites. Information on the periconceptional body mass index was collected. A primary combined maternal endpoint was defined as (1) admission to an intensive care unit (including maternal mortality), (2) viral pneumonia, and/or (3) oxygen supplementation. A primary combined fetal and neonatal endpoint was defined as (1) stillbirth at ≥24 0/7 weeks of gestation, (2) neonatal death ≤7 days after delivery, and/or (3) transfer to a neonatal intensive care unit. Multivariable logistic regression analysis was performed to evaluate the modulating effect of gestational diabetes mellitus on the defined endpoints. Results Of the 1490 women with COVID-19 (mean age, 31.0±5.2 years; 40.7% nulliparous), 140 (9.4%) were diagnosed with gestational diabetes mellitus; of these, 42.9% were treated with insulin. Overall, gestational diabetes mellitus was not associated with an adverse maternal outcome (odds ratio, 1.50; 95% confidence interval, 0.88–2.57). However, in women who were overweight or obese, gestational diabetes mellitus was independently associated with the primary maternal outcome (adjusted odds ratio, 2.69; 95% confidence interval, 1.43–5.07). Women who were overweight or obese with gestational diabetes mellitus requiring insulin treatment were found to have an increased risk of a severe course of COVID-19 (adjusted odds ratio, 3.05; 95% confidence interval, 1.38–6.73). Adverse maternal outcomes were more common when COVID-19 was diagnosed with or shortly after gestational diabetes mellitus diagnosis than COVID-19 diagnosis before gestational diabetes mellitus diagnosis (19.6% vs 5.6%; P<.05). Maternal gestational diabetes mellitus and maternal preconception body mass index of ≥25 kg/m2 increased the risk of adverse fetal and neonatal outcomes (adjusted odds ratio, 1.83; 95% confidence interval, 1.05–3.18). Furthermore, overweight and obesity (irrespective of gestational diabetes mellitus status) were influential factors for the maternal (adjusted odds ratio, 1.87; 95% confidence interval, 1.26–2.75) and neonatal (adjusted odds ratio, 1.81; 95% confidence interval, 1.32–2.48) primary endpoints compared with underweight or normal weight. Conclusion Gestational diabetes mellitus, combined with periconceptional overweight or obesity, was independently associated with a severe maternal course of COVID-19, especially when the mother required insulin and COVID-19 was diagnosed with or after gestational diabetes mellitus diagnosis. These combined factors exhibited a moderate effect on neonatal outcomes. Women with gestational diabetes mellitus and a body mass index of ≥25 kg/m2 were a particularly vulnerable group in the case of COVID-19.
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24
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O’Kelly AC, Michos ED, Shufelt CL, Vermunt JV, Minissian MB, Quesada O, Smith GN, Rich-Edwards JW, Garovic VD, El Khoudary SR, Honigberg MC. Pregnancy and Reproductive Risk Factors for Cardiovascular Disease in Women. Circ Res 2022; 130:652-672. [PMID: 35175837 PMCID: PMC8870397 DOI: 10.1161/circresaha.121.319895] [Citation(s) in RCA: 162] [Impact Index Per Article: 54.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Beyond conventional risk factors for cardiovascular disease, women face an additional burden of sex-specific risk factors. Key stages of a woman's reproductive history may influence or reveal short- and long-term cardiometabolic and cardiovascular trajectories. Early and late menarche, polycystic ovary syndrome, infertility, adverse pregnancy outcomes (eg, hypertensive disorders of pregnancy, gestational diabetes, preterm delivery, and intrauterine growth restriction), and absence of breastfeeding are all associated with increased future cardiovascular disease risk. The menopause transition additionally represents a period of accelerated cardiovascular disease risk, with timing (eg, premature menopause), mechanism, and symptoms of menopause, as well as treatment of menopause symptoms, each contributing to this risk. Differences in conventional cardiovascular disease risk factors appear to explain some, but not all, of the observed associations between reproductive history and later-life cardiovascular disease; further research is needed to elucidate hormonal effects and unique sex-specific disease mechanisms. A history of reproductive risk factors represents an opportunity for comprehensive risk factor screening, refinement of cardiovascular disease risk assessment, and implementation of primordial and primary prevention to optimize long-term cardiometabolic health in women.
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Affiliation(s)
- Anna C. O’Kelly
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Erin D. Michos
- Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, MD
- Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Chrisandra L. Shufelt
- Barbra Streisand Women’s Heart Center, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA
| | - Jane V. Vermunt
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN
| | - Margo B. Minissian
- Barbra Streisand Women’s Heart Center, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA
- Geri and Richard Brawerman Nursing Institute, Cedars-Sinai Medical Center, Los Angeles CA
| | - Odayme Quesada
- Women’s Heart Center, The Christ Hospital Heart and Vascular Institute, Cincinnati, OH
- The Carl and Edyth Lindner Center for Research and Education, The Christ Hospital, Cincinnati, OH
| | - Graeme N. Smith
- Department of Obstetrics and Gynecology, Queen’s University, Kingston, Ontario, Canada
| | - Janet W. Rich-Edwards
- Division of Women’s Health, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Vesna D. Garovic
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN
| | - Samar R. El Khoudary
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA
| | - Michael C. Honigberg
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA
- Corrigan Women’s Heart Health Program, Massachusetts General Hospital, Boston, MA
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25
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Dai F, Mani H, Nurul SR, Tan KH. Risk stratification of women with gestational diabetes mellitus using mutually exclusive categories based on the International Association of Diabetes and Pregnancy Study Groups criteria for the development of postpartum dysglycaemia: a retrospective cohort study. BMJ Open 2022; 12:e055458. [PMID: 35177456 PMCID: PMC8860034 DOI: 10.1136/bmjopen-2021-055458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Accepted: 01/31/2022] [Indexed: 11/17/2022] Open
Abstract
OBJECTIVES Women with gestational diabetes mellitus (GDM) are more predisposed to develop postpartum diabetes mellitus (DM). This study aimed to estimate the relative risk (RR) of postpartum dysglycaemia (prediabetes and DM) using mutually exclusive categories according to the International Association of Diabetes and Pregnancy Study Groups (IADPSG) criteria cut-off points in patients with GDM, so as to establish a risk-stratification method for developing GDM management strategies. DESIGN, SETTING AND PARTICIPANTS In this retrospective cohort study, 942 women who had been diagnosed with GDM (IADPSG criteria) at 24-28 weeks of gestation from November 2016 to April 2018 underwent a 75 g oral glucose tolerance test (OGTT) at 6-12 weeks postpartum in a tertiary hospital of Singapore. Seven mutually exclusive categories (three one timepoint positive categories (fasting, 1 hour and 2 hours), three two timepoint positive categories (fasting+1 hour, fasting+2 hours and 1 hour+2 hours) and one three timepoint positive category (fasting+1 hour+2 hours)) were derived from the three timepoint antenatal OGTT according to the IADPSG criteria. To calculate the RRs of postpartum dysglyceamia of each mutually exclusive group, logistic regression was applied. RESULTS 924 mothers with GDM, whose mean age was 32.7±4.7 years, were mainly composed of Chinese (45.4%), Malay (21.7%) and Indian (14.3%) ethnicity. The total prevalence of postnatal dysglycaemia was 16.7% at 6-12 weeks postpartum. Stratifying subjects into seven mutually exclusive categories, the RRs of the one-time, two-time and three-time positive groups of the antenatal OGTT test were 1.0 (Ref.), 2.0 (95% CI=1.3 to 3.1; p=0.001) and 6.7 (95% CI=4.1 to 10.9; p<0.001), respectively, which could be used to categorise patients with GDM into low-risk, intermediate-risk and high-risk group. CONCLUSIONS Mutually exclusive categories could be useful for risk stratification and early management of patients with prenatal GDM. It is plausible and can be easily translated into clinical practice.
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Affiliation(s)
- Fei Dai
- Divsion of Obstetrics and Gynaecology, KK Women's and Children's Hospital, Singapore
| | - Hemaavathi Mani
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Syaza Razali Nurul
- Divsion of Obstetrics and Gynaecology, KK Women's and Children's Hospital, Singapore
| | - Kok Hian Tan
- Department of Maternal Fetal Medicine, KK Women's and Children's Hospital, Singapore
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26
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Fritsche L, Hummel J, Wagner R, Löffler D, Hartkopf J, Machann J, Hilberath J, Kantartzis K, Jakubowski P, Pauluschke-Fröhlich J, Brucker S, Hörber S, Häring HU, Roden M, Schürmann A, Solimena M, de Angelis MH, Peter A, Birkenfeld AL, Preissl H, Fritsche A, Heni M. The German Gestational Diabetes Study (PREG), a prospective multicentre cohort study: rationale, methodology and design. BMJ Open 2022; 12:e058268. [PMID: 35168986 PMCID: PMC8852757 DOI: 10.1136/bmjopen-2021-058268] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Accepted: 01/18/2022] [Indexed: 12/23/2022] Open
Abstract
INTRODUCTION Even well-treated gestational diabetes mellitus (GDM) might still have impact on long-term health of the mother and her offspring, although this relationship has not yet been conclusively studied. Using in-depth phenotyping of the mother and her offspring, we aim to elucidate the relationship of maternal hyperglycaemia during pregnancy and adequate treatment, and its impact on the long-term health of both mother and child. METHODS The multicentre PREG study, a prospective cohort study, is designed to metabolically and phenotypically characterise women with a 75-g five-point oral glucose tolerance test (OGTT) during, and repeatedly after pregnancy. Outcome measures are maternal glycaemia during OGTTs, birth outcome and the health and growth development of the offspring. The children of the study participants are followed up until adulthood with developmental tests and metabolic and epigenetic phenotyping in the PREG Offspring study. A total of 800 women (600 with GDM, 200 controls) will be recruited. ETHICS AND DISSEMINATION The study protocol has been approved by all local ethics committees. Results will be disseminated via conference presentations and peer-reviewed publications. TRIAL REGISTRATION NUMBER The PREG study and the PREG Offspring study are registered with Clinical Trials (ClinicalTrials.gov identifiers: NCT04270578, NCT04722900).
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Affiliation(s)
- Louise Fritsche
- Institute of Diabetes Research and Metabolic Diseases, Helmholtz Center Munich German Research Center for Environmental Health, Tübingen, Germany
- German Center for Diabetes Research, Neuherberg, Germany
| | - Julia Hummel
- Institute of Diabetes Research and Metabolic Diseases, Helmholtz Center Munich German Research Center for Environmental Health, Tübingen, Germany
- German Center for Diabetes Research, Neuherberg, Germany
| | - Robert Wagner
- Institute of Diabetes Research and Metabolic Diseases, Helmholtz Center Munich German Research Center for Environmental Health, Tübingen, Germany
- German Center for Diabetes Research, Neuherberg, Germany
- Department for Diabetology, Endocrinology, and Nephrology, Faculty of Medicine, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Dorina Löffler
- Institute of Diabetes Research and Metabolic Diseases, Helmholtz Center Munich German Research Center for Environmental Health, Tübingen, Germany
- German Center for Diabetes Research, Neuherberg, Germany
- Department for Diabetology, Endocrinology, and Nephrology, Faculty of Medicine, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Julia Hartkopf
- Institute of Diabetes Research and Metabolic Diseases, Helmholtz Center Munich German Research Center for Environmental Health, Tübingen, Germany
- German Center for Diabetes Research, Neuherberg, Germany
| | - Jürgen Machann
- Institute of Diabetes Research and Metabolic Diseases, Helmholtz Center Munich German Research Center for Environmental Health, Tübingen, Germany
- German Center for Diabetes Research, Neuherberg, Germany
- Section on Experimental Radiology, Department of Diagnostic and Interventional Radiology, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Johannes Hilberath
- Department for Pediatric Gastroenterology and Hepatology, Faculty of Medicine, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Konstantinos Kantartzis
- Institute of Diabetes Research and Metabolic Diseases, Helmholtz Center Munich German Research Center for Environmental Health, Tübingen, Germany
- German Center for Diabetes Research, Neuherberg, Germany
| | - Peter Jakubowski
- Department of Women's Health, Eberhard Karls University Tübingen, Tübingen, Germany
| | | | - Sara Brucker
- Department of Women's Health, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Sebastian Hörber
- Institute of Diabetes Research and Metabolic Diseases, Helmholtz Center Munich German Research Center for Environmental Health, Tübingen, Germany
- German Center for Diabetes Research, Neuherberg, Germany
- Institute for Clinical Chemistry and Pathobiochemistry, Faculty of Medicine, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Hans-Ulrich Häring
- Institute of Diabetes Research and Metabolic Diseases, Helmholtz Center Munich German Research Center for Environmental Health, Tübingen, Germany
- German Center for Diabetes Research, Neuherberg, Germany
- Department for Diabetology, Endocrinology, and Nephrology, Faculty of Medicine, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Michael Roden
- German Center for Diabetes Research, Neuherberg, Germany
- Institute for Clinical Diabetology, Deutsches Diabetes-Zentrum Leibniz-Zentrum für Diabetes-Forschung, Düesseldorf, Germany
| | - Annette Schürmann
- German Center for Diabetes Research, Neuherberg, Germany
- Department of Experimental Diabetology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Michele Solimena
- German Center for Diabetes Research, Neuherberg, Germany
- Paul Langerhans Institute Dresden, Dresden University Hospital, Dresden, Germany
| | - Martin Hrabe de Angelis
- German Center for Diabetes Research, Neuherberg, Germany
- Institute of Experimental Genetics, Helmholtz Center Munich (German Research Center for Environmental Health), Neuherberg, Germany
| | - Andreas Peter
- Institute of Diabetes Research and Metabolic Diseases, Helmholtz Center Munich German Research Center for Environmental Health, Tübingen, Germany
- German Center for Diabetes Research, Neuherberg, Germany
- Institute for Clinical Chemistry and Pathobiochemistry, Faculty of Medicine, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Andreas L Birkenfeld
- Institute of Diabetes Research and Metabolic Diseases, Helmholtz Center Munich German Research Center for Environmental Health, Tübingen, Germany
- German Center for Diabetes Research, Neuherberg, Germany
- Department for Diabetology, Endocrinology, and Nephrology, Faculty of Medicine, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Hubert Preissl
- Institute of Diabetes Research and Metabolic Diseases, Helmholtz Center Munich German Research Center for Environmental Health, Tübingen, Germany
- German Center for Diabetes Research, Neuherberg, Germany
- Department for Diabetology, Endocrinology, and Nephrology, Faculty of Medicine, Eberhard Karls University Tübingen, Tübingen, Germany
- Institute for Diabetes and Obesity, Helmholtz Diabetes Center at Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Andreas Fritsche
- Institute of Diabetes Research and Metabolic Diseases, Helmholtz Center Munich German Research Center for Environmental Health, Tübingen, Germany
- German Center for Diabetes Research, Neuherberg, Germany
- Department for Diabetology, Endocrinology, and Nephrology, Faculty of Medicine, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Martin Heni
- Institute of Diabetes Research and Metabolic Diseases, Helmholtz Center Munich German Research Center for Environmental Health, Tübingen, Germany
- German Center for Diabetes Research, Neuherberg, Germany
- Department for Diabetology, Endocrinology, and Nephrology, Faculty of Medicine, Eberhard Karls University Tübingen, Tübingen, Germany
- Institute for Clinical Chemistry and Pathobiochemistry, Faculty of Medicine, Eberhard Karls University Tübingen, Tübingen, Germany
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Doi SAR, Bashir M, Sheehan MT, Onitilo AA, Chivese T, Ibrahim IM, Beer SF, Furuya-Kanamori L, Abou-Samra AB, McIntyre HD. Unifying the diagnosis of gestational diabetes mellitus: Introducing the NPRP criteria. Prim Care Diabetes 2022; 16:96-101. [PMID: 34419366 DOI: 10.1016/j.pcd.2021.08.006] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Revised: 08/08/2021] [Accepted: 08/09/2021] [Indexed: 11/23/2022]
Abstract
AIMS Disagreement about the appropriate criteria for the diagnosis of gestational diabetes mellitus (GDM) persists. This study examines an alternative approach which combines information from all time-points on the glucose tolerance test (GTT) into a single index and expands the GDM spectrum into four categories using data from three geographically and ethnically distinct populations. METHODS A retrospective observational study design was used. Data from Wisconsin, USA (723 women) was used in derivation of the criterion and data from Doha, Qatar (1284 women) and Cape Town, South Africa (220 women) for confirmation. Pregnant women without pre-existing diabetes with a GTT done between 23 and 30 weeks gestation were included. A novel index was derived from the GTT termed the weighted average glucose (wAG). This was categorized into four pre-defined groups (henceforth National Priorities Research Program (NPRP) criterion); i) normal gestational glycemia (NGG), ii) impaired gestational glycemia (IGG), iii) GDM and iv) high risk GDM (hGDM). RESULTS In the Doha cohort, compared to the NGG group, the odds of large for gestational age babies increased 1.33 fold (P = 0.432), 2.86 fold (P < 0.001) and 3.35 fold (P < 0.001) in the IGG, GDM and hGDM groups respectively. The odds of pregnancy induced hypertension increased 2.10 fold (P = 0.024) in GDM & hGDM groups compared to the IGG and NGG groups. In the Cape Town cohort, a third of women in the GDM group and two-thirds in the hGDM group progressed to T2DM at 5 years. CONCLUSIONS The NPRP categorization identifies four distinct risk clusters of glycemia in pregnancy which may aid better decision making in routine management, avoid potential over-diagnosis of women at lower risk of complications and assist with diabetes prevention in women at high-risk after an index pregnancy with GDM.
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Affiliation(s)
- Suhail A R Doi
- Department of Population Medicine, College of Medicine, QU Health, Qatar University, Doha, Qatar.
| | - Mohammed Bashir
- Division of Endocrinology and Qatar Metabolic Institute, Hamad Medical Corporation, Doha, Qatar.
| | - Michael T Sheehan
- Department of Endocrinology, Marshfield Clinic Health System -Weston Center, Weston, WI, USA
| | | | - Tawanda Chivese
- Department of Population Medicine, College of Medicine, QU Health, Qatar University, Doha, Qatar
| | - Ibrahim M Ibrahim
- Endocrinology and Diabetes Services Division, Sidra Medicine, Qatar Foundation, Doha, Qatar
| | - Stephen F Beer
- Division of Endocrinology and Qatar Metabolic Institute, Hamad Medical Corporation, Doha, Qatar
| | - Luis Furuya-Kanamori
- UQ Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Herston, Australia
| | - Abdul-Badi Abou-Samra
- Division of Endocrinology and Qatar Metabolic Institute, Hamad Medical Corporation, Doha, Qatar
| | - H David McIntyre
- Mater Research and The University of Queensland, Brisbane, Queensland, Australia
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28
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Werte des oralen Glukosetoleranztests sagen Risiko für Typ-2-Diabetes voraus. DIABETOL STOFFWECHS 2021. [DOI: 10.1055/a-1647-6730] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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