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Naeh A, Maor-Sagie E, Hallak M, Toledano Y, Gabbay-Benziv R. Greater risk of type 2 diabetes progression in multifetal gestations with gestational diabetes: the impact of obesity. Am J Obstet Gynecol 2024; 231:259.e1-259.e10. [PMID: 38360449 DOI: 10.1016/j.ajog.2023.11.1246] [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: 08/31/2023] [Revised: 11/20/2023] [Accepted: 11/21/2023] [Indexed: 02/17/2024]
Abstract
BACKGROUND The relationship between gestational diabetes mellitus and adverse outcomes in multifetal pregnancies is complex and controversial. Moreover, limited research has focused on the risk of gestational diabetes mellitus progression to type 2 diabetes mellitus specifically in multifetal pregnancies, resulting in conflicting results from existing studies. OBJECTIVE This study aimed to assess the risk of gestational diabetes mellitus progression to type 2 diabetes mellitus between singleton and multifetal pregnancies in a large cohort of parturients with a 5-year follow-up. STUDY DESIGN A retrospective study was conducted on a prospective cohort of pregnant individuals with pregnancies between January 1, 2017, and December 31, 2020, followed up to 5 years after delivery. Glucose levels during pregnancy were obtained from the Meuhedet Health Maintenance Organization laboratory system and cross-linked with the Israeli National Diabetes Registry. The cohort was divided into 4 groups: singleton pregnancy without gestational diabetes mellitus, singleton pregnancy with gestational diabetes mellitus, multifetal pregnancy without gestational diabetes mellitus, and multifetal pregnancy with gestational diabetes mellitus. Gestational diabetes mellitus was defined according to the American Diabetes Association criteria using the 2-step strategy. Univariate analyses, followed by survival analysis that included Kaplan-Meier hazard curves and Cox proportional-hazards models, were used to assess differences between groups and calculate the adjusted hazard ratios with 95% confidence intervals for progression to type 2 diabetes mellitus. RESULTS Among 88,611 parturients, 61,891 cases met the inclusion criteria. The prevalence of type 2 diabetes mellitus was 6.5% in the singleton pregnancy with gestational diabetes mellitus group and 9.4% in the multifetal pregnancy with gestational diabetes mellitus group. Parturients with gestational diabetes mellitus, regardless of plurality, were older and had higher fasting plasma glucose levels in the first trimester of pregnancy. The rates of increased body mass index, hypertension, and earlier gestational age at delivery were significantly higher in the gestational diabetes mellitus group among patients with singleton pregnancies but not among patients with multifetal pregnancies. Survival analysis demonstrated that gestational diabetes mellitus was associated with adjusted hazard ratios of type 2 diabetes mellitus of 4.62 (95% confidence interval, 3.69-5.78) in singleton pregnancies and 9.26 (95% confidence interval, 2.67-32.01) in multifetal pregnancies (P<.001 for both). Stratified analysis based on obesity status revealed that, in parturients without obesity, gestational diabetes mellitus in singleton pregnancies increased the risk of type 2 diabetes mellitus by 10.24 (95% confidence interval, 6.79-15.44; P<.001) compared with a nonsignificant risk in multifetal pregnancies (adjusted hazard ratio, 9.15; 95% confidence interval, 0.92-90.22; P=.059). Among parturients with obesity, gestational diabetes mellitus was associated with an increased risk of type 2 diabetes mellitus for both singleton and multifetal pregnancies (adjusted hazard ratio, 3.66; [95% confidence interval, 2.81-4.67; P<.001] and 9.31 [95% confidence interval, 2.12-40.76; P=.003], respectively). CONCLUSION Compared with gestational diabetes mellitus in singleton pregnancies, gestational diabetes mellitus in multifetal pregnancies doubles the risk of progression to type 2 diabetes mellitus. This effect is primarily observed in patients with obesity. Our findings underscore the importance of providing special attention and postpartum follow-up for patients with multifetal pregnancies and gestational diabetes mellitus, especially those with obesity, to enable early diagnosis and intervention for type 2 diabetes mellitus.
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Affiliation(s)
- Amir Naeh
- Department of Obstetrics and Gynecology, Hillel Yaffe Medical Center, Hadera, Israel; The Ruth and Bruce Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel.
| | - Esther Maor-Sagie
- Department of Obstetrics and Gynecology, Hillel Yaffe Medical Center, Hadera, Israel; The Ruth and Bruce Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel; Meuhedet Health Maintenance Organization, Haifa, Israel
| | - Mordechai Hallak
- Department of Obstetrics and Gynecology, Hillel Yaffe Medical Center, Hadera, Israel; The Ruth and Bruce Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel; Meuhedet Health Maintenance Organization, Haifa, Israel
| | - Yoel Toledano
- Department of Obstetrics and Gynecology, Hillel Yaffe Medical Center, Hadera, Israel; The Ruth and Bruce Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel; Meuhedet Health Maintenance Organization, Haifa, Israel
| | - Rinat Gabbay-Benziv
- Department of Obstetrics and Gynecology, Hillel Yaffe Medical Center, Hadera, Israel; The Ruth and Bruce Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel.
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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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Li DY, Wang L, Li L, Zhou S, Tan J, Tang C, Liao Q, Liu T, Wen L, Qi HB. Maternal vitamin D status and risk of gestational diabetes mellitus in twin pregnancies: a longitudinal twin pregnancies birth cohort study. Nutr J 2024; 23:41. [PMID: 38594739 PMCID: PMC11005156 DOI: 10.1186/s12937-024-00944-2] [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: 12/12/2023] [Accepted: 03/21/2024] [Indexed: 04/11/2024] Open
Abstract
BACKGROUND Gestational diabetes mellitus (GDM) is a common complication of pregnancy, with significant short-term and long-term implications for both mothers and their offspring. Previous studies have indicated the potential benefits of vitamin D in reducing the risk of GDM, yet little is known about this association in twin pregnancies. This study aimed to investigate maternal vitamin D status in the second trimester and examine its association with the risk of GDM in twin pregnancies. METHODS We conducted a prospective cohort study based on data from the Chongqing Longitudinal Twin Study (LoTiS). Peripheral blood serum was collected from the mothers in the second trimester to measure 25(OH)D concentrations. GDM was diagnosed at 23-26 weeks of gestation using a 75-g 2-h oral glucose tolerance test. We used multivariable logistic regression analyses to examine the correlations between vitamin D status and the risk of GDM. RESULTS Of the total participants, 93 (29.9%) women were diagnosed with GDM. The mean serum 25(OH)D concentration in the second trimester was 31.1 ± 11.2 ng/mL, and the rate of vitamin D insufficiency and deficiency were 23.5% and 18.7%, respectively. Compared to women with a 25(OH)D concentration < 30 ng/mL, those with a 25(OH)D concentration ≥ 30 ng/mL had a significantly lower risk of GDM (RR 0.61; 95% CI: 0.43, 0.86), especially those who were overweight before pregnancy (RR 0.32; 95% CI: 0.16, 0.64). The restricted cubic splines model showed an inverted J-shaped relationship between vitamin D concentrations and GDM risk. CONCLUSIONS The risk of GDM was significantly reduced in twin pregnant women with vitamin D concentrations ≥ 30 ng/mL in the second trimester. TRIAL REGISTRATION ChiCTR-OOC-16,008,203. Retrospectively registered on 1 April 2016.
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Affiliation(s)
- Da-Yan Li
- Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
- Department of Obstetrics and Gynecology, Banan Hospital of Chongqing Medical University, Chongqing, 401320, China
- Department of Obstetrics and Gynecology, Women and Children's Hospital of Chongqing Medical University, Longshan Road 120, Yubei District, Chongqing, 401147, China
| | - Lan Wang
- Department of Obstetrics and Gynecology, Women and Children's Hospital of Chongqing Medical University, Longshan Road 120, Yubei District, Chongqing, 401147, China
- Department of Obstetrics and Gynecology, Chongqing Health Center for Women and Children, Chongqing, 401147, China
| | - Li Li
- Department of Obstetrics and Gynecology, Women and Children's Hospital of Chongqing Medical University, Longshan Road 120, Yubei District, Chongqing, 401147, China
- Department of Obstetrics and Gynecology, Chongqing Health Center for Women and Children, Chongqing, 401147, China
| | - Shuwei Zhou
- Department of Obstetrics and Gynecology, Women and Children's Hospital of Chongqing Medical University, Longshan Road 120, Yubei District, Chongqing, 401147, China
- Department of Obstetrics and Gynecology, Chongqing Health Center for Women and Children, Chongqing, 401147, China
| | - Jiangyun Tan
- Department of Obstetrics and Gynecology, Women and Children's Hospital of Chongqing Medical University, Longshan Road 120, Yubei District, Chongqing, 401147, China
- Department of Obstetrics and Gynecology, Chongqing Health Center for Women and Children, Chongqing, 401147, China
| | - Chunyan Tang
- Department of Obstetrics and Gynecology, Women and Children's Hospital of Chongqing Medical University, Longshan Road 120, Yubei District, Chongqing, 401147, China
- Department of Obstetrics and Gynecology, Chongqing Health Center for Women and Children, Chongqing, 401147, China
| | - Qianqian Liao
- Department of Obstetrics and Gynecology, Women and Children's Hospital of Chongqing Medical University, Longshan Road 120, Yubei District, Chongqing, 401147, China
- Department of Obstetrics and Gynecology, Chongqing Health Center for Women and Children, Chongqing, 401147, China
| | - Ting Liu
- Department of Obstetrics and Gynecology, Women and Children's Hospital of Chongqing Medical University, Longshan Road 120, Yubei District, Chongqing, 401147, China
- Department of Obstetrics and Gynecology, Chongqing Health Center for Women and Children, Chongqing, 401147, China
| | - Li Wen
- Department of Obstetrics and Gynecology, Women and Children's Hospital of Chongqing Medical University, Longshan Road 120, Yubei District, Chongqing, 401147, China.
- Department of Obstetrics and Gynecology, Chongqing Health Center for Women and Children, Chongqing, 401147, China.
| | - Hong-Bo Qi
- Department of Obstetrics and Gynecology, Women and Children's Hospital of Chongqing Medical University, Longshan Road 120, Yubei District, Chongqing, 401147, China.
- Department of Obstetrics and Gynecology, Chongqing Health Center for Women and Children, Chongqing, 401147, China.
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Das D, Christie HE, Hegazi M, Takawy M, Pone KA, Vella A, Egan AM. Twin Pregnancy Complicated by Gestational Diabetes Mellitus: Maternal and Neonatal Outcomes. J Endocr Soc 2024; 8:bvae075. [PMID: 38698871 PMCID: PMC11065348 DOI: 10.1210/jendso/bvae075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Indexed: 05/05/2024] Open
Abstract
Context The risk of gestational diabetes mellitus (GDM) in twin pregnancies is more than double that of singleton pregnancies. Although twin pregnancies present unique challenges for fetal growth and prenatal management, the approach to GDM diagnosis and treatment is the same regardless of plurality. Data on pregnancy outcomes for individuals with GDM and a twin pregnancy are limited and conflicting. Objective To describe the maternal characteristics associated with GDM in twin pregnancies and to assess the associated pregnancy outcomes compared to twin pregnancies unaffected by GDM. Methods A retrospective cohort study was conducted at Mayo Clinic, Rochester, Minnesota, USA, and included predominantly Causasian women aged 18 to 45 years who received prenatal care for a twin pregnancy from 2017-2022. Maternal characteristics and a broad spectrum of pregnancy outcomes were evaluated. Universal GDM screening involved a 50 g oral glucose challenge test +/- a 100 g oral glucose tolerance test. Results GDM was diagnosed in 23% pregnancies (n = 104/452). Compared to those without, women with GDM had known risk factors including a higher prepregnancy body mass index (31.1vs 26.3 kg/m2; P < .01) and a prior history of GDM (21.7 vs 5.9%; P < .01). There were no differences in maternal pregnancy complications or neonatal outcomes between groups. Attendance at postpartum glucose testing among women with GDM was poor at 27.9% (29/104). Conclusion These data suggest that women with twin pregnancies share a similar GDM risk profile to those with singleton pregnancies and provide reassuring evidence that current management for GDM twin pregnancies produces similar outcomes to twin pregnancies without GDM.
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Affiliation(s)
- Devika Das
- Department of Internal Medicine, Mayo Clinic, Rochester, MN 55905, USA
| | - Hannah E Christie
- Department of Endocrinology, Diabetes, Metabolism and Nutrition, Mayo Clinic, Rochester, MN 55905, USA
| | - Moustafa Hegazi
- Department of Endocrinology, Diabetes, Metabolism and Nutrition, Mayo Clinic, Rochester, MN 55905, USA
| | - Marina Takawy
- Department of Endocrinology, Diabetes, Metabolism and Nutrition, Mayo Clinic, Rochester, MN 55905, USA
| | - Karina A Pone
- Division of Maternal and Fetal Medicine, Mayo Clinic, Rochester, MN 55905, USA
| | - Adrian Vella
- Department of Endocrinology, Diabetes, Metabolism and Nutrition, Mayo Clinic, Rochester, MN 55905, USA
| | - Aoife M Egan
- Department of Endocrinology, Diabetes, Metabolism and Nutrition, Mayo Clinic, Rochester, MN 55905, USA
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Greco E, Calanducci M, Nicolaides KH, Barry EVH, Huda MSB, Iliodromiti S. Gestational diabetes mellitus and adverse maternal and perinatal outcomes in twin and singleton pregnancies: a systematic review and meta-analysis. Am J Obstet Gynecol 2024; 230:213-225. [PMID: 37595821 DOI: 10.1016/j.ajog.2023.08.011] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 08/10/2023] [Accepted: 08/10/2023] [Indexed: 08/20/2023]
Abstract
OBJECTIVE This study aimed to assess the risk of adverse maternal and perinatal complications between twin and singleton pregnancies affected by gestational diabetes mellitus and the respective group without gestational diabetes mellitus (controls). DATA SOURCES A literature search was performed using MEDLINE, Embase, and Cochrane from January 1980 to May 2023. STUDY ELIGIBILITY CRITERIA Observational studies reporting maternal and perinatal outcomes in singleton and/or twin pregnancies with gestational diabetes mellitus vs controls were included. METHODS This was a systematic review and meta-analysis. Pooled estimate risk ratios with 95% confidence intervals were generated to determine the likelihood of adverse pregnancy outcomes between twin and singleton pregnancies with and without gestational diabetes mellitus. Heterogeneity among studies was evaluated in the model and expressed using the I2 statistic. A P value of <.05 was considered statistically significant. The meta-analyses were performed using Review Manager (RevMan Web). Version 5.4. The Cochrane Collaboration, 2020. Meta-regression was used to compare relative risks between singleton and twin pregnancies. The addition of multiple covariates into the models was used to address the lack of adjustments. RESULTS Overall, 85 studies in singleton pregnancies and 27 in twin pregnancies were included. In singleton pregnancies with gestational diabetes mellitus, compared with controls, there were increased risks of hypertensive disorders of pregnancy (relative risk, 1.85; 95% confidence interval, 1.69-2.01), induction of labor (relative risk, 1.36; 95% confidence interval, 1.05-1.77), cesarean delivery (relative risk, 1.31; 95% confidence interval, 1.24-1.38), large-for-gestational-age neonate (relative risk, 1.61; 95% confidence interval, 1.46-1.77), preterm birth (relative risk, 1.36; 95% confidence interval, 1.27-1.46), and admission to the neonatal intensive care unit (relative risk, 1.43; 95% confidence interval, 1.38-1.49). In twin pregnancies with gestational diabetes mellitus, compared with controls, there were increased risks of hypertensive disorders of pregnancy (relative risk, 1.69; 95% confidence interval, 1.51-1.90), cesarean delivery (relative risk, 1.10; 95% confidence interval, 1.06-1.13), large-for-gestational-age neonate (relative risk, 1.29; 95% confidence interval, 1.03-1.60), preterm birth (relative risk, 1.19; 95% confidence interval, 1.07-1.32), and admission to the neonatal intensive care unit (relative risk, 1.20; 95% confidence interval, 1.09-1.32) and reduced risks of small-for-gestational-age neonate (relative risk, 0.89; 95% confidence interval, 0.81-0.97) and neonatal death (relative risk, 0.50; 95% confidence interval, 0.39-0.65). When comparing relative risks in singleton vs twin pregnancies, there was sufficient evidence to suggest that twin pregnancies have a lower relative risk of cesarean delivery (P=.003), have sufficient adjustment for confounders, and have lower relative risks of admission to the neonatal intensive care unit (P=.005), stillbirths (P=.002), and neonatal death (P=.001) than singleton pregnancies. CONCLUSION In both singleton and twin pregnancies, gestational diabetes mellitus was associated with an increased risk of adverse maternal and perinatal outcomes. In twin pregnancies, gestational diabetes mellitus may have a milder effect on some adverse perinatal outcomes and may be associated with a lower risk of neonatal death.
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Affiliation(s)
- Elena Greco
- Women's Health Research Unit, Wolfson Institute of Population Health, Queen Mary University of London, London, United Kingdom.
| | - Maria Calanducci
- The Royal London Hospital, Barts Health NHS Trust, London, United Kingdom; The Harris Birthright Research Centre, King's College, London, United Kingdom
| | - Kypros H Nicolaides
- The Harris Birthright Research Centre, King's College, London, United Kingdom
| | - Eleanor V H Barry
- Women's Health Research Unit, Wolfson Institute of Population Health, Queen Mary University of London, London, United Kingdom
| | - Mohammed S B Huda
- The Royal London Hospital, Barts Health NHS Trust, London, United Kingdom
| | - Stamatina Iliodromiti
- Women's Health Research Unit, Wolfson Institute of Population Health, Queen Mary University of London, London, United Kingdom
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Berezowsky A, Ardestani S, Hiersch L, Shah BR, Berger H, Halperin I, Retnakaran R, Barrett J, Melamed N. Glycemic control and neonatal outcomes in twin pregnancies with gestational diabetes mellitus. Am J Obstet Gynecol 2023; 229:682.e1-682.e13. [PMID: 37393013 DOI: 10.1016/j.ajog.2023.06.046] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 06/23/2023] [Accepted: 06/26/2023] [Indexed: 07/03/2023]
Abstract
BACKGROUND Preliminary data suggest that strict glycemic control in twin pregnancies with gestational diabetes mellitus may not improve outcomes but might increase the risk of fetal growth restriction. OBJECTIVE This study aimed to investigate the association of maternal glycemic control with the risk of gestational diabetes mellitus-related complications and small for gestational age in twin pregnancies complicated by gestational diabetes mellitus. STUDY DESIGN This was a retrospective cohort study of all patients with a twin pregnancy complicated by gestational diabetes mellitus in a single tertiary center between 2011 and 2020, and a matched control group of patients with a twin pregnancy without gestational diabetes mellitus in a 1:3 ratio. The exposure was the level of glycemic control, described as the proportion of fasting, postprandial, and overall glucose values within target. Good glycemic control was defined as a proportion of values within target above the 50th percentile. The first coprimary outcome was a composite variable of neonatal morbidity, defined as at least 1 of the following: birthweight >90th centile for gestational age, hypoglycemia requiring treatment, jaundice requiring phototherapy, birth trauma, or admission to the neonatal intensive care unit at term. A second coprimary outcome was small for gestational age, defined as birthweight <10th centile or <3rd centile for gestational age. Associations between the level of glycemic control and the study outcomes were estimated using logistic regression analysis and were expressed as adjusted odds ratio with 95% confidence interval. RESULTS A total of 105 patients with gestational diabetes mellitus in a twin pregnancy met the study criteria. The overall rate of the primary outcome was 32.4% (34/105), and the overall proportion of pregnancies with a small for gestational age newborn at birth was 43.8% (46/105). Good glycemic control was not associated with a reduction in the risk of composite neonatal morbidity when compared with suboptimal glycemic control (32.1% vs 32.7%; adjusted odds ratio, 2.06 [95% confidence interval, 0.77-5.49]). However, good glycemic control was associated with higher odds of small for gestational age compared with nongestational diabetes mellitus pregnancies, especially in the subgroup of diet-treated gestational diabetes mellitus (65.5% vs 34.0%, respectively; adjusted odds ratio, 4.17 [95% confidence interval, 1.74-10.01] for small for gestational age <10th centile; and 24.1% vs 7.0%, respectively; adjusted odds ratio, 3.97 [95% confidence interval, 1.42-11.10] for small for gestational age <3rd centile). In contrast, the rate of small for gestational age in gestational diabetes mellitus pregnancies with suboptimal control was not considerably different when compared with non-gestational diabetes mellitus pregnancies. In addition, in cases of diet-treated gestational diabetes mellitus, good glycemic control was associated with a left-shift of the distribution of birthweight centiles, whereas the distribution of birthweight centiles among gestational diabetes mellitus pregnancies with suboptimal control was similar to that of nongestational diabetes mellitus pregnancies. CONCLUSION In patients with gestational diabetes mellitus in a twin pregnancy, good glycemic control is not associated with a reduction in the risk of gestational diabetes mellitus-related complications but may increase the risk of a small for gestational age newborn in the subgroup of patients with mild (diet-treated) gestational diabetes mellitus. These findings further question whether the gestational diabetes mellitus glycemic targets used in singleton pregnancies also apply to twin pregnancies and support the concern that applying the same diagnostic criteria and glycemic targets in twin pregnancies may result in overdiagnosis and overtreatment of gestational diabetes mellitus and potential neonatal harm.
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Affiliation(s)
- Alexandra Berezowsky
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynaecology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada
| | - Shakiba Ardestani
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynaecology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada
| | - Liran Hiersch
- Lis Maternity Hospital, Tel Aviv Sourasky Medical Center, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Baiju R Shah
- Division of Endocrinology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada
| | - Howard Berger
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynaecology, St. Michael's Hospital, University of Toronto, Toronto, Canada
| | - Ilana Halperin
- Department of Endocrinology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada
| | - Ravi Retnakaran
- Leadership Sinai Centre for Diabetes, Mount Sinai Hospital, Toronto, Canada; Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Canada; Division of Endocrinology, University of Toronto, Toronto, Canada
| | - Jon Barrett
- Department of Obstetrics and Gynecology, McMaster University, Hamilton, Canada
| | - Nir Melamed
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynaecology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada.
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Nawsherwan, Liu Z, Le Z, Mubarik S, Sun Y, Naeem S, Li H. The adverse effect of gestational diabetes mellitus and hypertensive disorders of pregnancy on maternal-perinatal outcomes among singleton and twin pregnancies: a retrospective cohort study (2011-2019). Front Endocrinol (Lausanne) 2023; 14:1267338. [PMID: 38098860 PMCID: PMC10720659 DOI: 10.3389/fendo.2023.1267338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 11/06/2023] [Indexed: 12/17/2023] Open
Abstract
Background Gestational diabetes mellitus (GDM) and hypertensive disorders of pregnancy (HDP) are the predominant pregnancy complications among singleton and twin pregnancies worldwide. Our primary objective was to explore the adverse effect of GDM and HDP on maternal-perinatal outcomes compared with non-GDM and non-HDP in singleton and twin pregnancies. The secondary objective was to find the risk of adverse maternal-perinatal outcomes in twin pregnancies compared with singleton pregnancies complicated with GDM and HDP in Hubei, China. Methods A tertiary hospital-based retrospective study was conducted at Wuhan University Renmin Hospital, Hubei Province, China, from 2011 to 2019. A chi-square test was used to determine the difference in adverse maternal-perinatal outcomes between singleton and twin pregnancies. A multiple binary logistic regression model and a joinpoint regression model were used to determine the association of GDM and HDP with adverse maternal-perinatal outcomes and GDM and HDP temporal trend among singleton and twin pregnancies. Results The trend of HDP [average annual percentage change (AAPC) 15.1% (95% confidence interval (95%CI): 5.3, 25.7)] among singleton pregnancies and GDM [AAPC 50.4% (95%CI: 19.9, 88.7)] among twin pregnancies significantly increased from 2011 to 2019. After adjusting for confounding factors, GDM is associated with an increased risk of C-section (adjusted odds ratio (aOR), 1.5; 95%CI: 1.3, 1.6) and macrosomia (aOR, 1.3; 95%CI: 1.1, 1.6) in singleton and preterm birth (PTB) (aOR, 2.1; 95%CI: 1.2, 3.3) in twin pregnancies compared with non-GDM. HDP was associated with a higher risk of C-section, PTB, perinatal mortality, and low birth weight (LBW) in both singleton and twin pregnancies compared with the non-HDP. Compared with singleton pregnancies complicated with GDM and HDP, twin pregnancies showed higher odds of C-section [(aOR, 1.7; 95%CI: 1.1, 2.7), (aOR, 4.6; 95%CI: 2.5, 8.7), respectively], PTB [(aOR, 22.9; 95%CI: 14.1, 37.3), (aOR, 8.1; 95%CI: 5.3, 12.3), respectively], LBW [(aOR, 12.1; 95%CI: 8.2, 18.1), (aOR, 5.1; 95%CI: 3.6, 7.4), respectively], and low Apgar score [(aOR, 8.2; 95%CI: 4.4, 15.1), (aOR, 3.8; 95%CI: 2.4, 5.8), respectively] complicated with GDM and HDP. Conclusion In conclusion, GDM showed an increased risk of a few adverse maternal-perinatal outcomes and HDP is associated with a higher risk of several adverse maternal-perinatal outcomes in singleton and twin pregnancies compared to non-GDM and non-HDP. Moreover, twin pregnancies complicated with GDM and HDP showed higher odds of adverse maternal-neonatal outcomes compared with singleton pregnancies complicated with GDM and HDP.
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Affiliation(s)
- Nawsherwan
- Xiamen Cardiovascular Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Zhiyi Liu
- Clinical College of Traditional Chinese Medicine, Hubei University of Chinese Medicine, Hubei, China
| | - Zhang Le
- Xiamen Cardiovascular Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Sumaira Mubarik
- PharmacoTherapy, -Epidemiology and -Economics, Groningen Research Institute of Pharmacy, University of Groningen, Groningen, Netherlands
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China
| | - Yanmei Sun
- Department of Obstetrics and Gynecology, Renmin Hospital, Wuhan University, Wuhan, Hubei, China
| | - Shafaq Naeem
- Department of Preventive Medicine, School of Public Health, Wuhan University, Wuhan, China
| | - Hui Li
- Department of Medicine, Taixing People Hospital, Taizhou, Jiangsu, China
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Zheng W, Zhang KX, Yuan XX, Luo JY, Wang J, Song W, Liang SN, Wang XX, Guo CM, Li GH. Maternal weight, blood lipids, and the offspring weight trajectories during infancy and early childhood in twin pregnancies. World J Pediatr 2023; 19:961-971. [PMID: 36877432 DOI: 10.1007/s12519-023-00703-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2022] [Accepted: 02/07/2023] [Indexed: 03/07/2023]
Abstract
BACKGROUND The intrauterine environment has a profound and long-lasting influence on the health of the offspring. However, its impact on the postnatal catch-up growth of twin children remains unclarified. Therefore, this study aimed to explore the maternal factors in pregnancy associated with twin offspring growth. METHODS This study included 3142 live twin children born to 1571 mothers from the Beijing Birth Cohort Study conducted from 2016 to 2021 in Beijing, China. Original and corrected weight-for-age standard deviation scores of the twin offspring from birth to 36 months of age were calculated according to the World Health Organization Child Growth Standards. The corresponding weight trajectories were identified by the latent trajectory model. Maternal factors in pregnancy associated with the weight trajectories of the twin offspring were examined after adjustment for potential confounders. RESULTS Five weight trajectories of the twin children were identified, with 4.9% (154/3142) exhibiting insufficient catch-up growth, 30.6% (961/3142), and 46.8% (1469/3142) showing adequate catch-up growth from different birth weights, and 15.0% (472/3142) and 2.7% (86/3142) showing various degrees of excessive catch-up growth. Maternal short stature [adjusted odds ratio (OR) = 0.691, 95% confidence interval (CI) = 0.563-0.848, P = 0.0004] and lower total gestational weight gain (GWG) (adjusted OR = 0.774, 95% CI = 0.616-0.972, P = 0.03) were associated with insufficient catch-up growth of the offspring. Maternal stature (adjusted OR = 1.331, 95% CI = 1.168-1.518, P < 0.001), higher pre-pregnancy body mass index (BMI) (adjusted OR = 1.230, 95% CI = 1.090-1.387, P < 0.001), total GWG (adjusted OR = 1.207, 95% CI = 1.068-1.364, P = 0.002), GWG rate (adjusted OR = 1.165, 95% CI = 1.027-1.321, P = 0.02), total cholesterol (TC) (adjusted OR = 1.150, 95% CI = 1.018-1.300, P = 0.03) and low-density lipoprotein-cholesterol (LDL-C) (adjusted OR = 1.177, 95% CI = 1.041-1.330) in early pregnancy were associated with excessive growth of the offspring. The pattern of weight trajectories was similar between monochorionic and dichorionic twins. Maternal height, pre-pregnancy BMI, GWG, TC and LDL-C in early pregnancy were positively associated with excess growth in dichorionic twins, yet a similar association was observed only between maternal height and postnatal growth in monochorionic twins. CONCLUSION This study identified the effect of maternal stature, weight status, and blood lipid profiles during pregnancy on postnatal weight trajectories of the twin offspring, thereby providing a basis for twin pregnancy management to improve the long-term health of the offspring.
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Affiliation(s)
- Wei Zheng
- Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, 100026, China
- Beijing Maternal and Child Health Care Hospital, Beijing, 100026, China
| | - Ke-Xin Zhang
- Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, 100026, China
- Beijing Maternal and Child Health Care Hospital, Beijing, 100026, China
| | - Xian-Xian Yuan
- Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, 100026, China
- Beijing Maternal and Child Health Care Hospital, Beijing, 100026, China
| | - Jin-Ying Luo
- Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, 100026, China
- Beijing Maternal and Child Health Care Hospital, Beijing, 100026, China
- Obstetrics and Gynecology Department, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, 350001, China
| | - Jia Wang
- Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, 100026, China
- Beijing Maternal and Child Health Care Hospital, Beijing, 100026, China
| | - Wei Song
- Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, 100026, China
- Beijing Maternal and Child Health Care Hospital, Beijing, 100026, China
| | - Sheng-Nan Liang
- Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, 100026, China
- Beijing Maternal and Child Health Care Hospital, Beijing, 100026, China
| | - Xiao-Xin Wang
- Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, 100026, China
- Beijing Maternal and Child Health Care Hospital, Beijing, 100026, China
| | - Cui-Mei Guo
- Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, 100026, China
- Beijing Maternal and Child Health Care Hospital, Beijing, 100026, China
| | - Guang-Hui Li
- Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, 100026, China.
- Beijing Maternal and Child Health Care Hospital, Beijing, 100026, China.
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Shulman Y, Shah BR, Berger H, Yoon EW, Helpaerin I, Mei-Dan E, Aviram A, Retnakaran R, Melamed N. Prediction of birthweight and risk of macrosomia in pregnancies complicated by diabetes. Am J Obstet Gynecol MFM 2023; 5:101042. [PMID: 37286100 DOI: 10.1016/j.ajogmf.2023.101042] [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: 03/02/2023] [Revised: 05/15/2023] [Accepted: 05/28/2023] [Indexed: 06/09/2023]
Abstract
BACKGROUND Antenatal detection of accelerated fetal growth and macrosomia in pregnancies complicated by diabetes mellitus is important for patient counseling and management. Sonographic fetal weight estimation is the most commonly used tool to predict birthweight and macrosomia. However, the predictive accuracy of sonographic fetal weight estimation for these outcomes is limited. In addition, an up-to-date sonographic fetal weight estimation is often unavailable before birth. This may result in a failure to identify macrosomia, especially in pregnancies complicated by diabetes mellitus where care providers might underestimate fetal growth rate. Therefore, there is a need for better tools to detect and alert care providers to the potential risk of accelerated fetal growth and macrosomia. OBJECTIVE This study aimed to develop and validate prediction models for birthweight and macrosomia in pregnancies complicated by diabetes mellitus. STUDY DESIGN This was a completed retrospective cohort study of all patients with a singleton live birth at ≥36 weeks of gestation complicated by preexisting or gestational diabetes mellitus observed at a single tertiary center between January 2011 and May 2022. Candidate predictors included maternal age, parity, type of diabetes mellitus, information from the most recent sonographic fetal weight estimation (including estimated fetal weight, abdominal circumference z score, head circumference-to-abdomen circumference z score ratio, and amniotic fluid), fetal sex, and the interval between ultrasound examination and birth. The study outcomes were macrosomia (defined as birthweights >4000 and >4500 g), large for gestational age (defined as a birthweight >90th percentile for gestational age), and birthweight (in grams). Multivariable logistic regression models were used to estimate the probability of dichotomous outcomes, and multivariable linear regression models were used to estimate birthweight. Model discrimination and predictive accuracy were calculated. Internal validation was performed using the bootstrap resampling technique. RESULTS A total of 2465 patients met the study criteria. Most patients had gestational diabetes mellitus (90%), 6% of patients had type 2 diabetes mellitus, and 4% of patients had type 1 diabetes mellitus. The overall proportions of infants with birthweights >4000 g, >4500 g, and >90th percentile for gestational age were 8%, 1%, and 12%, respectively. The most contributory predictor variables were estimated fetal weight, abdominal circumference z score, ultrasound examination to birth interval, and type of diabetes mellitus. The models for the 3 dichotomous outcomes had high discriminative accuracy (area under the curve receiver operating characteristic curve, 0.929-0.979), which was higher than that achieved with estimated fetal weight alone (area under the curve receiver operating characteristic curve, 0.880-0.931). The predictive accuracy of the models had high sensitivity (87%-100%), specificity (84%-92%), and negative predictive values (84%-92%). The predictive accuracy of the model for birthweight had low systematic and random errors (0.6% and 7.5%, respectively), which were considerably smaller than the corresponding errors achieved with estimated fetal weight alone (-5.9% and 10.8%, respectively). The proportions of estimates within 5%, 10%, and 15% of the actual birthweight were high (52.3%, 82.9%, and 94.9%, respectively). CONCLUSION The prediction models developed in the current study were associated with greater predictive accuracy for macrosomia, large for gestational age, and birthweight than the current standard of care that includes estimated fetal weight alone. These models may assist care providers in counseling patients regarding the optimal timing and mode of delivery.
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Affiliation(s)
- Yonatan Shulman
- Division of Maternal-Fetal Medicine (Mr Shulman and Drs Aviram and Melamed), Department of Obstetrics and Gynecology, Sunnybrook Health Sciences Centre, University of Toronto, Ontario, Canada
| | - Baiju R Shah
- Department of Medicine (Dr Shah), Institute for Clinical Evaluative Sciences, and Institute for Health Policy, Management, and Evaluation, Sunnybrook Research Institute, Ontario, Canada; Division of Endocrinology (Drs Shah and Retnakaran), Department of Obstetrics and Gynecology, Sunnybrook Health Sciences Centre, University of Toronto, Ontario, Canada
| | - Howard Berger
- Division of Maternal-Fetal Medicine (Dr Berger), Department of Obstetrics and Gynecology, St. Michael's Hospital, University of Toronto, Ontario, Canada
| | - Eugene W Yoon
- Maternal-Infant Care Research Centre (Mr Yoon), Mount Sinai Hospital, Toronto, ON, Canada; Division of Maternal-Fetal Medicine (Mr Yoon), Department of Obstetrics and Gynecology, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Ilana Helpaerin
- Department of Endocrinology (Dr Helpaerin), Sunnybrook Health Sciences Centre, University of Toronto, Ontario, Canada
| | - Elad Mei-Dan
- Division of Maternal-Fetal Medicine (Dr Mei-Dan), Department of Obstetrics and Gynecology, North York General Hospital, University of Toronto, Ontario, Canada
| | - Amir Aviram
- Division of Maternal-Fetal Medicine (Mr Shulman and Drs Aviram and Melamed), Department of Obstetrics and Gynecology, Sunnybrook Health Sciences Centre, University of Toronto, Ontario, Canada
| | - Ravi Retnakaran
- Division of Endocrinology (Drs Shah and Retnakaran), Department of Obstetrics and Gynecology, Sunnybrook Health Sciences Centre, University of Toronto, Ontario, Canada; Leadership Sinai Centre for Diabetes (Dr Retnakaran), Mount Sinai Hospital, Toronto, ON, Canada; Lunenfeld-Tanenbaum Research Institute (Dr Retnakaran), Mount Sinai Hospital, Toronto, ON, Canada
| | - Nir Melamed
- Division of Maternal-Fetal Medicine (Mr Shulman and Drs Aviram and Melamed), Department of Obstetrics and Gynecology, Sunnybrook Health Sciences Centre, University of Toronto, Ontario, Canada.
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Zhu J, An P, Zhao H, Zhao Y, Zhou J, Zhou Q, Li X, Xiong Y. Optimal cutoffs of growth discordance for the risk of preeclampsia in twin pregnancies: A single-center retrospective cohort study. Front Cardiovasc Med 2023; 9:1073729. [PMID: 36727028 PMCID: PMC9884673 DOI: 10.3389/fcvm.2022.1073729] [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: 10/18/2022] [Accepted: 12/30/2022] [Indexed: 01/19/2023] Open
Abstract
Objective To explore the optimal cutoffs of growth discordance for the risk of preeclampsia in twin pregnancies. Methods A retrospective cohort study in a university hospital which included twins delivered from February 2013 to September 2020. Restrictive cubic spline (RCS) model was applied to the trend of intertwin birthweight difference (BWD) with the risk of preeclampsia. Logistic regression and subgroup analysis were performed to find the cut-off with statistical significance and clinical meaningfulness. Results A total of 2,631 women pregnant with twins were enrolled. RCS showed a nonlinear upward trend of preeclampsia with BWD, and the BWD of 15% was the initial rising point. With the confounders adjusted, only the group with BWD ≥ 25% was found to be significantly associated with an increased risk of preeclampsia (adjusted odds ratio [aOR], 2.44; 95% confidence interval [CI]: 1.74-3.42). Additionally, subgroup analysis showed that both monochorionic (MC) and small for gestational age (SGA) twins were more likely to complicate with preeclampsia. Conclusion The growth discordance of 15% during pregnancy may be the preventive point of preeclampsia, and 25% may be the interventional point.
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Affiliation(s)
- Jie Zhu
- Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China,The Shanghai Key Laboratory of Female Reproductive Endocrine-Related Diseases, Shanghai, China
| | - Ping An
- Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China,The Shanghai Key Laboratory of Female Reproductive Endocrine-Related Diseases, Shanghai, China
| | - Huanqiang Zhao
- Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China,The Shanghai Key Laboratory of Female Reproductive Endocrine-Related Diseases, Shanghai, China
| | - Ying Zhao
- Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China,The Shanghai Key Laboratory of Female Reproductive Endocrine-Related Diseases, Shanghai, China
| | - Jizi Zhou
- Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China,The Shanghai Key Laboratory of Female Reproductive Endocrine-Related Diseases, Shanghai, China
| | - Qiongjie Zhou
- Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China,The Shanghai Key Laboratory of Female Reproductive Endocrine-Related Diseases, Shanghai, China
| | - Xiaotian Li
- Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China,The Shanghai Key Laboratory of Female Reproductive Endocrine-Related Diseases, Shanghai, China,Xiaotian Li,
| | - Yu Xiong
- Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China,The Shanghai Key Laboratory of Female Reproductive Endocrine-Related Diseases, Shanghai, China,*Correspondence: Yu Xiong,
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11
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Hiersch L, Shah BR, Berger H, Geary M, McDonald SD, Murray-Davis B, Guan J, Halperin I, Retnakaran R, Barrett J, Melamed N. Screening Accuracy of the 50 g-Glucose Challenge Test in Twin Compared With Singleton Pregnancies. J Clin Endocrinol Metab 2022; 107:2854-2864. [PMID: 35931097 DOI: 10.1210/clinem/dgac472] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Indexed: 11/19/2022]
Abstract
CONTEXT The optimal 50 g-glucose challenge test (GCT) cutoff for the diagnosis of gestational diabetes mellitus (GDM) in twin pregnancies is unknown. OBJECTIVE This work aimed to explore the screening accuracy of the 50 g-GCT and its correlation with the risk of large for gestational age (LGA) newborn in twin compared to singleton pregnancies. A population-based retrospective cohort study (2007-2017) was conducted in Ontario, Canada. Participants included patients with a singleton (n = 546 892 [98.4%]) or twin (n = 8832 [1.6%]) birth who underwent screening for GDM using the 50 g-GCT. METHODS We compared the screening accuracy, risk of GDM, and risk of LGA between twin and singleton pregnancies using various 50 g-GCT cutoffs. RESULTS For any given 50 g-GCT result, the probability of GDM was higher (P = .0.007), whereas the probability of LGA was considerably lower in the twin compared with the singleton group, even when a twin-specific growth chart was used to diagnose LGA in the twin group (P < .001). The estimated false-positive rate (FPR) for GDM was higher in twin compared with singleton pregnancies irrespective of the 50 g-GCT cutoff used. The cutoff of 8.2 mmol/L (148 mg/dL) in twin pregnancies was associated with an estimated FPR (10.7%-11.1%) that was similar to the FPR associated with the cutoff of 7.8 mmol/L (140 mg/dL) in singleton pregnancies (10.8%). CONCLUSION The screening performance of the 50 g-GCT for GDM and its correlation with LGA differ between twin and singleton pregnancies.
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Affiliation(s)
- Liran Hiersch
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
- Lis Maternity Hospital, Sourasky Medical Center and Sackler Faculty of Medicine, Tel Aviv University, Givat Shmuel 5442381, Israel
| | - Baiju R Shah
- Institute for Clinical Evaluative Sciences, Department of Medicine and Institute for Health Policy, Management and Evaluation, Scientist, Sunnybrook Research Institute; Division of Endocrinology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Howard Berger
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, St. Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Michael Geary
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, St. Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Sarah D McDonald
- Division of Maternal-Fetal Medicine, Departments of Obstetrics and Gynecology, Radiology, and Research Methods, Evidence & Impact, McMaster University, Hamilton, Ontario, Canada
| | - Beth Murray-Davis
- Division of Maternal-Fetal Medicine, Departments of Obstetrics and Gynecology, Radiology, and Research Methods, Evidence & Impact, McMaster University, Hamilton, Ontario, Canada
| | - Jun Guan
- Institute for Clinical Evaluative Sciences, Toronto, Ontario
| | - Ilana Halperin
- Department of Endocrinology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Ravi Retnakaran
- Leadership Sinai Centre for Diabetes, Mount Sinai Hospital, Toronto, Ontario, Canada; Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada
- Division of Endocrinology, University of Toronto, Toronto, Ontario, Canada
| | - Jon Barrett
- Departments of Obstetrics and Gynecology, McMaster University, Hamilton, Ontario, Canada
| | - Nir Melamed
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
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Lin D, Fan D, Li P, Chen G, Rao J, Zhou Z, Zhang H, Luo X, Ma H, Feng J, Lu D, Wang L, Lan S, Luo C, Guo X, Liu Z. Perinatal outcomes among twin pregnancies with gestational diabetes mellitus: A nine-year retrospective cohort study. Front Public Health 2022; 10:946186. [PMID: 35958858 PMCID: PMC9358001 DOI: 10.3389/fpubh.2022.946186] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 07/06/2022] [Indexed: 11/15/2022] Open
Abstract
Objective To compare the outcomes between gestational diabetes mellitus (GDM) vs. non-GDM twin gestations. Methods A retrospective cohort study of 2,151 twin pregnancies was performed in a tertiary hospital in Foshan, China, 2012–2020. Pregnancy and neonatal outcomes were compared between women with vs. without GDM using 1:1 propensity score matching (PSM) and multivariable logistic models. For neonatal outcomes, generalized estimating equation (GEE) approach was used to address the intertwin correlation. Results Of the 2,151 participants, 472 women (21.9%) were diagnosed with GDM. Women with GDM were older and more likely to be overweight or obese, and more likely have chronic hypertension, assisted pregnancies and dichorionic twins. In the PSM cohort of 942 pregnancies, there was no statistical difference when comparing GDM twin pregnancies and non-GDM in any of the perinatal outcomes, especially in terms of preterm birth (PTB) <37 weeks (P = 0.715), large for gestational age (LGA) (P = 0.521) and neonatal respiratory distress (NRDS) (P = 0.206). In the entire cohort, no significant adjusted ORs for these outcomes were obtained from logistic regression models adjusted for confounders (aOR for PTB < 37 weeks: 1.25, 95% CI: 0.98–1.58; aOR for LGA: 1.26, 95% CI: 0.88–1.82; and aOR for NRDS, 1.05, 95% CI: 0.68–1.64). Conclusion Twin pregnancies with GDM and adequate prenatal care have comparable perinatal outcomes to those without.
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Affiliation(s)
- Dongxin Lin
- Foshan Institute of Fetal Medicine, Southern Medical University Affiliated Maternal and Child Health Hospital of Foshan, Foshan, China
- Department of Obstetrics, Southern Medical University Affiliated Maternal and Child Health Hospital of Foshan, Foshan, China
| | - Dazhi Fan
- Foshan Institute of Fetal Medicine, Southern Medical University Affiliated Maternal and Child Health Hospital of Foshan, Foshan, China
- Department of Obstetrics, Southern Medical University Affiliated Maternal and Child Health Hospital of Foshan, Foshan, China
| | - Pengsheng Li
- Foshan Institute of Fetal Medicine, Southern Medical University Affiliated Maternal and Child Health Hospital of Foshan, Foshan, China
- Department of Obstetrics, Southern Medical University Affiliated Maternal and Child Health Hospital of Foshan, Foshan, China
| | - Gengdong Chen
- Foshan Institute of Fetal Medicine, Southern Medical University Affiliated Maternal and Child Health Hospital of Foshan, Foshan, China
- Department of Obstetrics, Southern Medical University Affiliated Maternal and Child Health Hospital of Foshan, Foshan, China
| | - Jiaming Rao
- Foshan Institute of Fetal Medicine, Southern Medical University Affiliated Maternal and Child Health Hospital of Foshan, Foshan, China
- Department of Obstetrics, Southern Medical University Affiliated Maternal and Child Health Hospital of Foshan, Foshan, China
| | - Zixing Zhou
- Foshan Institute of Fetal Medicine, Southern Medical University Affiliated Maternal and Child Health Hospital of Foshan, Foshan, China
- Department of Obstetrics, Southern Medical University Affiliated Maternal and Child Health Hospital of Foshan, Foshan, China
| | - Huishan Zhang
- Foshan Institute of Fetal Medicine, Southern Medical University Affiliated Maternal and Child Health Hospital of Foshan, Foshan, China
- Department of Obstetrics, Southern Medical University Affiliated Maternal and Child Health Hospital of Foshan, Foshan, China
| | - Xin Luo
- Foshan Institute of Fetal Medicine, Southern Medical University Affiliated Maternal and Child Health Hospital of Foshan, Foshan, China
- Department of Obstetrics, Southern Medical University Affiliated Maternal and Child Health Hospital of Foshan, Foshan, China
| | - Huiting Ma
- Foshan Institute of Fetal Medicine, Southern Medical University Affiliated Maternal and Child Health Hospital of Foshan, Foshan, China
- Department of Obstetrics, Southern Medical University Affiliated Maternal and Child Health Hospital of Foshan, Foshan, China
| | - Jingping Feng
- Department of Obstetrics, Southern Medical University Affiliated Maternal and Child Health Hospital of Foshan, Foshan, China
| | - Demei Lu
- Department of Obstetrics, Southern Medical University Affiliated Maternal and Child Health Hospital of Foshan, Foshan, China
| | - Lijuan Wang
- Department of Obstetrics, Southern Medical University Affiliated Maternal and Child Health Hospital of Foshan, Foshan, China
| | - Shiyan Lan
- Department of Obstetrics, Southern Medical University Affiliated Maternal and Child Health Hospital of Foshan, Foshan, China
| | - Caihong Luo
- Department of Obstetrics, Southern Medical University Affiliated Maternal and Child Health Hospital of Foshan, Foshan, China
| | - Xiaoling Guo
- Foshan Institute of Fetal Medicine, Southern Medical University Affiliated Maternal and Child Health Hospital of Foshan, Foshan, China
- Department of Obstetrics, Southern Medical University Affiliated Maternal and Child Health Hospital of Foshan, Foshan, China
- *Correspondence: Xiaoling Guo
| | - Zhengping Liu
- Foshan Institute of Fetal Medicine, Southern Medical University Affiliated Maternal and Child Health Hospital of Foshan, Foshan, China
- Department of Obstetrics, Southern Medical University Affiliated Maternal and Child Health Hospital of Foshan, Foshan, China
- Zhengping Liu
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Perinatal Outcomes and Related Risk Factors of Single vs Twin Pregnancy Complicated by Gestational Diabetes Mellitus: Meta-Analysis. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2022; 2022:3557890. [PMID: 35832130 PMCID: PMC9273416 DOI: 10.1155/2022/3557890] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 06/17/2022] [Accepted: 06/20/2022] [Indexed: 11/18/2022]
Abstract
Objective Perinatal outcomes and related risk factors of single vs twin pregnancy complicated with gestational diabetes mellitus (GDM) were clarified, providing evidence for developing preventive measures. Methods The Chinese National Knowledge Infrastructure (CNKI), China Biology Medicine (CBM), CQVIP, Wanfang, and PubMed databases were searched for published research on the perinatal outcomes and risk factors of single and twin pregnancy complicated by GDM from 2000 to 2021. The quality of the included literature was evaluated according to the Newcastle-Ottawa Scale (NOS). Meta-analysis of the included literature was conducted using RevMan5.3 software. Results Relative to a single pregnancy group, infertility, gestational weight gain, and family history of diabetes presented statistical significance in the twin pregnancy group (P < 0.05); gestational age at delivery, cesarean section, preterm birth < 37 weeks, and preeclampsia presented statistical significance in the twin pregnancy group (P < 0.05); and neonatal birth weight, small for gestational age (SGA), neonatal asphyxia, neonatal hypoglycemia, neonatal respiratory distress syndrome (NRDS), neonatal hyperbilirubinemia, and neonatal death presented statistical significance in the twin pregnancy group (P < 0.05). Conclusion Infertility, prenatal weight gain, and diabetes in the family are all risk factors for postpartum impaired glucose metabolism in pregnant women with GDM who are carrying twins. The gestational age at delivery, cesarean section, preterm birth < 37 weeks, and preeclampsia of twin pregnant women with diabetes will affect the perinatal status of twin pregnant women. Neonatal birth weight, SGA, neonatal asphyxia, neonatal hypoglycemia, NRDS, neonatal hyperbilirubinemia, neonatal death, etc. should be paid special attention in the perinatal process.
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Gingold JA, Fazzari M, Gerber R, Kappy M, Goodman M, Lieman H, Pollack S, Singh M, Jindal S. Adherence to embryo transfer guidelines in favorable-prognosis patients aged less than 35 years using autologous oocytes and in recipients using donor oocytes: a Society for Assisted Reproductive Technology Clinic Outcome Reporting System study. Fertil Steril 2022; 117:548-559. [DOI: 10.1016/j.fertnstert.2021.11.015] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Revised: 11/04/2021] [Accepted: 11/05/2021] [Indexed: 12/21/2022]
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Amikam U, Hiersch L, Barrett J, Melamed N. Labour induction in twin pregnancies. Best Pract Res Clin Obstet Gynaecol 2021; 79:55-69. [PMID: 34844886 DOI: 10.1016/j.bpobgyn.2021.10.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 10/24/2021] [Accepted: 10/25/2021] [Indexed: 01/21/2023]
Abstract
Medically-indicated deliveries are common in twin pregnancies given the increased risk of various obstetric complications in twin compared to singleton pregnancies, mainly hypertensive disorders of pregnancy and foetal growth restriction. Due to the unique characteristics of twin pregnancies, the success rates and safety of labour induction may be different than in singleton pregnancies. However, while there are abundant data regarding induction of labour in singleton pregnancies, the efficacy and safety of labour induction in twin pregnancies have been far less studied. In the current manuscript we summarize available data on various aspects of labour induction in twin pregnancies including incidence, success rate, prognostic factors, safety and methods for labour induction in twins. This information may assist healthcare providers in counselling patients with twin pregnancies when labour induction is indicated.
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Affiliation(s)
- Uri Amikam
- Department of Obstetrics and Gynecology, Lis Hospital for Women, Tel Aviv Sourasky Medical Center, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Liran Hiersch
- Department of Obstetrics and Gynecology, Lis Hospital for Women, Tel Aviv Sourasky Medical Center, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Jon Barrett
- Departments of Obstetrics and Gynecology, McMaster University, Hamilton, Ontario, Canada
| | - Nir Melamed
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Sunnybrook Health Sciences Centre, University of Toronto, Ontario, Canada.
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