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Atalay AJ, Meade C, Southworth B, Gitomer R, Zhang T, Wien M, Samal L. Resident and Physician Assistant Co-management-One Model for Reducing Inequities in Care for Patients with Diabetes. J Gen Intern Med 2025:10.1007/s11606-025-09560-0. [PMID: 40301217 DOI: 10.1007/s11606-025-09560-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2024] [Accepted: 04/16/2025] [Indexed: 05/01/2025]
Affiliation(s)
- Alev J Atalay
- Harvard Medical School, Boston, MA, USA.
- Division of General Internal Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
| | - Christina Meade
- Harvard Medical School, Boston, MA, USA
- Division of General Internal Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Bonnie Southworth
- Harvard Medical School, Boston, MA, USA
- Division of General Internal Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Rick Gitomer
- Division of General Internal Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Teresa Zhang
- Division of General Internal Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Matt Wien
- Division of General Internal Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Lipika Samal
- Harvard Medical School, Boston, MA, USA
- Division of General Internal Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
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Dunne F, Newman C, Alvarez-Iglesias A, O'Shea P, Devane D, Gillespie P, Egan A, O'Donnell M, Smyth A. Postnatal Cardiometabolic Health After Metformin Use in Gestational Diabetes: A Secondary Analysis of the EMERGE Trial. J Clin Endocrinol Metab 2025; 110:e1566-e1572. [PMID: 39056256 DOI: 10.1210/clinem/dgae522] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2024] [Revised: 07/08/2024] [Accepted: 07/24/2024] [Indexed: 07/28/2024]
Abstract
AIM Women with gestational diabetes mellitus (GDM) display adverse lifetime cardiometabolic health. We examined whether early metformin in GDM could impact cardiometabolic risk factors postpartum. METHODS EMERGE, a double-blind, placebo-controlled trial, randomized pregnancies 1:1 to placebo or metformin at GDM diagnosis and followed participants from randomization until 12 ± 4 weeks postpartum. In total, 478 pregnancies were available for postpartum maternal assessment, 237 and 241 assigned to metformin and placebo respectively. Weight (kg), body mass index (BMI) (kg/m2), waist circumference (cm), and blood pressure (mmHg) were measured, infant feeding method documented, and blood specimens drawn for a 75-gram oral glucose tolerance test, fasting insulin, C-peptide, and lipid analysis. RESULTS Despite similar weight and BMI at trial randomization, participants receiving metformin had significantly lower weight (79.5 ± 15.9 vs 82.6 ± 16.9 kg; P = .04) and BMI (29.3 [5.6] vs 30.5 [5.4]; P = .018) at the postpartum visit. However, no difference in weight change from randomization to 12 weeks postpartum was observed between metformin and placebo groups. Overall, 29% (n = 139) of the cohort met criteria for prediabetes or diabetes, with no positive impact with metformin. There were also no differences in measurements of insulin resistance, blood pressure, or lipids between groups. CONCLUSION Early metformin use in GDM did not impact important cardiometabolic parameters in the early postpartum period despite significant benefits in weight gain and insulin use in pregnancy.
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Affiliation(s)
- Fidelma Dunne
- Institute for Clinical Trials, College of Medicine, Nursing and Health Sciences, University of Galway, Galway H91 TK33, Ireland
- HRB Clinical Research Facility Galway, University of Galway, Galway H91 TK33, Ireland
- Galway University Hospital, Galway H91 YR71, Ireland
| | - Christine Newman
- Institute for Clinical Trials, College of Medicine, Nursing and Health Sciences, University of Galway, Galway H91 TK33, Ireland
- HRB Clinical Research Facility Galway, University of Galway, Galway H91 TK33, Ireland
- Galway University Hospital, Galway H91 YR71, Ireland
| | | | - Paula O'Shea
- HRB Clinical Research Facility Galway, University of Galway, Galway H91 TK33, Ireland
| | - Declan Devane
- Institute for Clinical Trials, College of Medicine, Nursing and Health Sciences, University of Galway, Galway H91 TK33, Ireland
- HRB Clinical Research Facility Galway, University of Galway, Galway H91 TK33, Ireland
| | - Paddy Gillespie
- School of Business and Economics, University of Galway, Galway H91 TK33, Ireland
| | - Aoife Egan
- Institute for Clinical Trials, College of Medicine, Nursing and Health Sciences, University of Galway, Galway H91 TK33, Ireland
- Department of Endocrinology, Mayo Clinic, Rochester, MN AZ85054, USA
| | - Martin O'Donnell
- Institute for Clinical Trials, College of Medicine, Nursing and Health Sciences, University of Galway, Galway H91 TK33, Ireland
- HRB Clinical Research Facility Galway, University of Galway, Galway H91 TK33, Ireland
- Galway University Hospital, Galway H91 YR71, Ireland
| | - Andrew Smyth
- Institute for Clinical Trials, College of Medicine, Nursing and Health Sciences, University of Galway, Galway H91 TK33, Ireland
- HRB Clinical Research Facility Galway, University of Galway, Galway H91 TK33, Ireland
- Galway University Hospital, Galway H91 YR71, Ireland
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Zhou J, Yu J, Ren J, Ren Y, Zeng Y, Wu Y, Zhang Q, Xiao X. Association of maternal blood metabolomics and gestational diabetes mellitus risk: a systematic review and meta-analysis. Rev Endocr Metab Disord 2025; 26:205-222. [PMID: 39602052 DOI: 10.1007/s11154-024-09934-5] [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] [Accepted: 11/13/2024] [Indexed: 11/29/2024]
Abstract
Gestational diabetes mellitus (GDM) is a common complication of pregnancy that has short- and long-term adverse effects. Therefore, further exploration of the pathophysiology of GDM and related biomarkers is important. In this study, we performed a systematic review and meta-analysis to investigate the associations between metabolites in blood detected via metabolomics techniques and the risk of GDM and to identify possible biomarkers for predicting the occurrence of GDM. We retrieved case‒control and cohort studies of metabolomics and GDM published in PubMed, Embase, and Web of Science through March 29, 2024; extracted metabolite concentrations, odds ratios (ORs), or relative risks (RRs); and evaluated the integrated results with metabolites per-SD risk estimates and 95% CIs for GDM. We estimated the results via the random effects model and the inverse variance method. Our study is registered in PROSPERO (CRD42024539435). We included a total of 28 case‒control and cohort studies, including 17,370 subjects (4,372 GDM patients and 12,998 non-GDM subjects), and meta-analyzed 67 metabolites. Twenty-five of these metabolites were associated with GDM risk. Some amino acids (isoleucine, leucine, valine, alanine, aspartate, etc.), lipids (C16:0, C18:1n-9, C18:1n-7, lysophosphatidylcholine (LPC) (16:0), LPC (18:0), and palmitoylcarnitine), and carbohydrates and energy metabolites (glucose, pyruvate, lactate, 2-hydroxybutyrate, 3-hydroxybutyrate) were discovered to be associated with increased GDM risk (hazard ratio 1.06-2.77). Glutamine, histidine, C14:0, and sphingomyelin (SM) (34:1) were associated with lower GDM risk (hazard ratio 0.75-0.84). These findings suggest that these metabolites may play essential roles in GDM progression, and serve as biomarkers, contributing to the early diagnosis and prediction of GDM.
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Grants
- 81870545, 81870579, 82170854, 81570715, 81170736 National Natural Science Foundation of China
- 7202163 the Beijing Natural Science Foundation
- Z201100005520011 the Beijing Municipal Science and Technology Commission
- 2017YFC1309603, 2021YFC2501700, 2016YFA0101002, 2018YFC2001100 the National Key Research and Development Program of China
- 2019DCT-M-05 the Scientific Activities Foundation for Selected Returned Overseas Professionals of Human Resources and Social Security Ministry, Beijing Dongcheng District Outstanding Talent Funding Project
- 2017PT31036, 2018PT31021 the Medical Epigenetics Research Center, Chinese Academy of Medical Sciences
- 2023PT32010, 2017PT32020, 2018PT32001 the Non-profit Central Research Institute Fund of Chinese Academy of Medical Sciences
- CIFMS2017-I2M-1-008, CIFMS2021-I2M-1-002 the Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences
- 2022-PUMCH-C-019 National High Level Hospital Clinical Research Funding
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Affiliation(s)
- Jing Zhou
- Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, Peking Union Medical College Hospital, Peking Union Medical College, Diabetes Research Center of Chinese Academy of Medical Sciences, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Jie Yu
- Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, Peking Union Medical College Hospital, Peking Union Medical College, Diabetes Research Center of Chinese Academy of Medical Sciences, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Jing Ren
- Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, Peking Union Medical College Hospital, Peking Union Medical College, Diabetes Research Center of Chinese Academy of Medical Sciences, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Yaolin Ren
- Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, Peking Union Medical College Hospital, Peking Union Medical College, Diabetes Research Center of Chinese Academy of Medical Sciences, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Yuan Zeng
- Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, Peking Union Medical College Hospital, Peking Union Medical College, Diabetes Research Center of Chinese Academy of Medical Sciences, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Yifan Wu
- Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, Peking Union Medical College Hospital, Peking Union Medical College, Diabetes Research Center of Chinese Academy of Medical Sciences, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Qian Zhang
- Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, Peking Union Medical College Hospital, Peking Union Medical College, Diabetes Research Center of Chinese Academy of Medical Sciences, Chinese Academy of Medical Sciences, Beijing, 100730, China.
| | - Xinhua Xiao
- Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, Peking Union Medical College Hospital, Peking Union Medical College, Diabetes Research Center of Chinese Academy of Medical Sciences, Chinese Academy of Medical Sciences, Beijing, 100730, China.
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Lv L, Yang J, Li L, Huang C, Shi H, Fang Y, Zuo L, Liu T, Duan H, Wen J, Yang Q, Henry A, Han C, Yin A, Zhou X. The interdependence of mid-trimester blood pressure and glucose levels in shaping fetal growth and neonatal outcomes: implications for risk-benefit assessment and co-management. BMC Med 2025; 23:161. [PMID: 40087732 PMCID: PMC11909891 DOI: 10.1186/s12916-025-03990-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2024] [Accepted: 03/06/2025] [Indexed: 03/17/2025] Open
Abstract
BACKGROUND Maternal hypertension and hyperglycemia are closely related but have distinct impacts on fetal growth and are managed independently. How the interdependence of blood pressure (BP) and glucose levels quantitatively influences risk patterns for abnormal fetal growth and neonatal complications remains unexplored. METHODS Maternal BP and fasting plasma glucose (FPG) levels were measured between 20 and 28 weeks of gestation in a cohort including 56,881 singleton pregnancies. Linear and quantile regression analyses were used to evaluate the relationship between BP and FPG. We examined the dose-response relationships between BP and FPG with small-for-gestational age (SGA) and large-for-gestational age (LGA) by using restricted cubic spline (RCS) curves. Additionally, multivariable fractional polynomial interaction (MFPI) analysis was conducted to assess the effects of higher versus lower BP levels across the full range of FPG levels. Heatmaps were created to visualize the contributions of BP and FPG by categorizing them into ordered groups. RESULTS Quantile regression revealed consistent positive correlations between mean arterial pressure (MAP) and FPG, with a steeper increase in MAP coefficients above the 0.5 quantile of FPG. MAP had a non-linear positive association with SGA risk, while FPG showed a non-linear negative association. Heatmaps revealed the highest SGA risk with high BP (MAP ≥ 85 mmHg)/low glucose (< 85 mg/dL) combinations and the lowest risk with low BP (MAP < 85 mmHg)/high glucose (≥ 85 mg/dL), with equivalent risk at both high BP/high glucose and low BP/low glucose. In hypertensive patients, SGA risk worsened continuously as glucose levels decreased. LGA risk was not influenced by BP levels. Neonatal complications decreased by approximately 47% as MAP declined from the highest to lowest category, and by about 17% with decreasing glucose levels. CONCLUSIONS Based on a large pregnancy cohort in China, this study revealed an interdependent association between maternal BP and glucose levels and their combined impact on the risk of SGA. It provided quantitative evidence of how this interdependence shapes the transition of risk patterns for SGA, neonatal complications, and LGA. These findings underscore the need for an integrated approach to co-managing BP and glucose levels during pregnancy.
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Affiliation(s)
- Lijuan Lv
- Medical Genetic Center, Department of Obstetrics, Guangdong Women and Children Hospital, Xinnan Avenue, Panyu District, Guangzhou, 511442, China
| | - Jingbo Yang
- Department of Cardiology, Tianjin Medical University General Hospital, 154, Anshan Road, Heping District, Tianjin, 300052, China
| | - Linjie Li
- Department of Cardiology, Tianjin Medical University General Hospital, 154, Anshan Road, Heping District, Tianjin, 300052, China
| | - Chuanyi Huang
- Department of Cardiology, Tianjin Medical University General Hospital, 154, Anshan Road, Heping District, Tianjin, 300052, China
| | - Huihua Shi
- Department of Cardiology, Tianjin Medical University General Hospital, 154, Anshan Road, Heping District, Tianjin, 300052, China
| | - Yiwen Fang
- Department of Cardiology, Tianjin Medical University General Hospital, 154, Anshan Road, Heping District, Tianjin, 300052, China
| | - Lushu Zuo
- Department of Cardiology, Tianjin Medical University General Hospital, 154, Anshan Road, Heping District, Tianjin, 300052, China
| | - Ting Liu
- Department of Cardiology, Tianjin Medical University General Hospital, 154, Anshan Road, Heping District, Tianjin, 300052, China
| | - Hongli Duan
- Medical Genetic Center, Department of Obstetrics, Guangdong Women and Children Hospital, Xinnan Avenue, Panyu District, Guangzhou, 511442, China
| | - Jiying Wen
- Medical Genetic Center, Department of Obstetrics, Guangdong Women and Children Hospital, Xinnan Avenue, Panyu District, Guangzhou, 511442, China
| | - Qing Yang
- Department of Cardiology, Tianjin Medical University General Hospital, 154, Anshan Road, Heping District, Tianjin, 300052, China
| | - Amanda Henry
- Discipline of Women'S Health, School of Clinical Medicine, UNSW Medicine and Health, University of New South Wales, Sydney, Australia
- Department of Women'S and Children'S Health, St George Hospital, Sydney, Australia
- The George Institute for Global Health, UNSW Medicine and Health, Sydney, Australia
| | - Cha Han
- Department of Gynecology and Obstetrics, Tianjin Medical University General Hospital, 154, Anshan Road, Heping District, Tianjin, 300052, China.
- Tianjin Key Laboratory of Female Reproductive Health and Eugenics, Tianjin Medical University General Hospital, 154, Anshan Road, Heping District, Tianjin, 300052, China.
| | - Aihua Yin
- Medical Genetic Center, Department of Obstetrics, Guangdong Women and Children Hospital, Xinnan Avenue, Panyu District, Guangzhou, 511442, China.
| | - Xin Zhou
- Department of Cardiology, Tianjin Medical University General Hospital, 154, Anshan Road, Heping District, Tianjin, 300052, China.
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Tozzo V, Petherbridge R, James K, Hsu S, Michalopoulos C, Foy BH, Thaweethai T, Mow C, Maya J, Camero CB, Shook L, Gray KJ, Mauney L, Higgins JM, Powe CE. Hematologic dynamics during pregnancy and their association with obstetric complications: a retrospective cohort study. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2025:2025.02.13.25322250. [PMID: 39990572 PMCID: PMC11844592 DOI: 10.1101/2025.02.13.25322250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 02/25/2025]
Abstract
Objectives Pregnancy alters hematologic state as measured by complete blood counts (CBC), but the longitudinal changes in CBC indices that define healthy pregnancies are not well established. Our objectives were (1) to define gestational age-specific reference intervals for CBCs and their longitudinal changes in a large United States-based cohort and (2) to use these reference intervals to examine associations between extreme CBC values and changes and risk of obstetric complications. Design Retrospective cohort study including electronic health record-based discovery and validation cohorts. Setting Academic medical center and affiliated health system in the United States between 1998 and 2022. Participants Individuals with singleton pregnancies delivering after 30 weeks' gestation who presented for prenatal care prior to 20 weeks'. There were 45,992 pregnancies in the discovery cohort, 18% of whom had complications, and 50,603 in the validation cohort, 22% with complications. Main outcome measures Composite outcome (hypertensive disorder of pregnancy, small for gestational age birthweight or preterm birth) and its individual components. We analyzed associations between CBC results and outcomes using generalized estimating equations for logistic regression with Bonferroni correction for multiple hypothesis testing. Results Hematocrit, hemoglobin, and red cell count values above their reference intervals were associated with increased risk of the composite obstetric complication: OR [95% CI] of 1.4 [1.2, 1.6] p=1.8×10-5 for hematocrit; 1.7[1.4, 1.9] p=1.4×10-10 for hemoglobin; and 1.6[1.4, 1.9] p=3.9×10-9 for red cell count. Extreme increase in hemoglobin (>0.67 g/dL) or red cell count (>0.07 106/mm3) between 7-14 weeks' and 26-29 weeks' gestation was associated with increased risk for preterm birth (OR [95% CI] for hemoglobin 2.0[1.6, 2.6] p=2×10-8 and red cell count: 2.1[1.7, 2.6] p=9×10-14). Reference intervals in this cohort were often wider than those previously published for mean red cell volume, mean red cell hemoglobin, red cell count, and mean red cell hemoglobin concentration. Conclusions Elevated measures of red blood cell count and large intra-pregnancy increases in those measures are associated with subsequent obstetric complications.
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Affiliation(s)
- Veronica Tozzo
- Department of Pathology and Center for Systems Biology, Massachusetts General Hospital, Boston, MA, USA
- Department of Systems Biology, Harvard Medical School, Boston, MA, USA
- Department of Computational Medicine, UCLA, Los Angeles, CA, USA
| | - Rachel Petherbridge
- Department of Pathology and Center for Systems Biology, Massachusetts General Hospital, Boston, MA, USA
- Department of Systems Biology, Harvard Medical School, Boston, MA, USA
| | - Kaitlyn James
- Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA
| | - Sarah Hsu
- Diabetes Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA
- Broad Institute, Cambridge, MA
| | - Chloe Michalopoulos
- Diabetes Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA
| | - Brody H. Foy
- Department of Pathology and Center for Systems Biology, Massachusetts General Hospital, Boston, MA, USA
- Department of Systems Biology, Harvard Medical School, Boston, MA, USA
- Department of Laboratory Medicine & Pathology, University of Washington, Seattle, WA
| | - Tanayott Thaweethai
- Harvard Medical School, Boston, MA
- Biostatistics Center, Division of Clinical Research, Massachusetts General Hospital, Boston, MA
| | - Christopher Mow
- Department of Pathology and Center for Systems Biology, Massachusetts General Hospital, Boston, MA, USA
- Mass General Brigham Enterprise Research IS, Boston, MA
| | - Jacqueline Maya
- Diabetes Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | | | - Lydia Shook
- Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA
| | - Kathryn J. Gray
- Department of Obstetrics and Gynecology, University of Washington School of Medicine, Seattle, WA
| | - Logan Mauney
- Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA
| | - John M. Higgins
- Department of Pathology and Center for Systems Biology, Massachusetts General Hospital, Boston, MA, USA
- Department of Systems Biology, Harvard Medical School, Boston, MA, USA
| | - Camille E. Powe
- Diabetes Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA
- Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA
- Harvard Medical School, Boston, MA
- Broad Institute, Cambridge, MA
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Bernasko J. A framework to classify gestational diabetes diagnosed by routine antenatal 75g glucose tolerance testing. J Matern Fetal Neonatal Med 2024; 37:2373393. [PMID: 38977393 DOI: 10.1080/14767058.2024.2373393] [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: 01/21/2024] [Accepted: 06/21/2024] [Indexed: 07/10/2024]
Abstract
OBJECTIVE To create an objective framework to classify gestational diabetes mellitus diagnosed by routine antenatal 75 g diabetes testing results to provide an alternative to current treatment-based classification. METHODS A framework was created to classify gestational diabetes according to the severity of glycemic abnormalities after routine antenatal 75 g GTT (classes 1 through 4, determined by fasting and post-test glycemic abnormalities). A retrospective cohort chart review was used to correlate clinically how often diet therapy alone maintained glycemic targets throughout pregnancy in each class. Chi-square analysis was used to assess inter-class differences in the success of diet therapy alone maintaining glycemic targets throughout pregnancy. RESULTS Seventy-four of 228 (33%), 35/228 (15%), 76/228 (33%), and 43/228 (19%) of the study population were classified as Class 1, 2, 3, or 4, respectively. Of eighty-nine patients who maintained glycemic targets throughout pregnancy with diet alone 51/89 (57%) were Class 1, 20/89 (22.5%) were Class 2, 11/89 (12.5%) were Class 3, and 7/89 (8%) were Class 4. Chi-square analysis showed statistically significant inter-class differences in the likelihood of diet therapy alone maintaining glycemic targets throughout pregnancy. CONCLUSION In this framework classifying gestational diabetes according to the severity of glycemic abnormalities after routine antenatal 75 g GTT (an objective proxy for disease severity), the higher the assigned class, the less likely that diet therapy alone maintained glycemic targets throughout pregnancy (a clinical proxy for disease severity).
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Affiliation(s)
- James Bernasko
- Division of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology and Reproductive Sciences, Stony Brook University Health Sciences Center, Stony Brook, NY, USA
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Onuoha C, Schulte CCM, Thaweethai T, Hsu S, Pant D, James KE, Sen S, Kaimal A, Powe CE. The simultaneous occurrence of gestational diabetes and hypertensive disorders of pregnancy affects fetal growth and neonatal morbidity. Am J Obstet Gynecol 2024; 231:548.e1-548.e21. [PMID: 38492713 PMCID: PMC11632704 DOI: 10.1016/j.ajog.2024.03.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 02/04/2024] [Accepted: 03/08/2024] [Indexed: 03/18/2024]
Abstract
BACKGROUND Gestational diabetes is associated with increased risk of hypertensive disorders of pregnancy, but there are limited data on fetal growth and neonatal outcomes when both conditions are present. OBJECTIVE We evaluated the risk of abnormal fetal growth and neonatal morbidity in pregnancies with co-occurrence of gestational diabetes and hypertensive disorders of pregnancy. STUDY DESIGN In a retrospective study of 47,093 singleton pregnancies, we compared the incidence of appropriate for gestational age birthweight in pregnancies affected by gestational diabetes alone, hypertensive disorders of pregnancy alone, or both gestational diabetes and hypertensive disorders of pregnancy with that in pregnancies affected by neither disorder using generalized estimating equations (covariates: maternal age, nulliparity, body mass index, insurance type, race, marital status, and prenatal care site). Secondary outcomes were large for gestational age birthweight, small for gestational age birthweight, and a neonatal morbidity composite outcome (stillbirth, hypoglycemia, hyperbilirubinemia, respiratory distress, encephalopathy, preterm delivery, neonatal death, and neonatal intensive care unit admission). RESULTS The median (interquartile range) birthweight percentile in pregnancies with both gestational diabetes and hypertensive disorders of pregnancy (50 [24.0-78.0]; N=179) was similar to that of unaffected pregnancies (50 [27.0-73.0]; N=35,833). However, the absolute rate of appropriate for gestational age birthweight was lower for gestational diabetes/hypertensive disorders of pregnancy co-occurrence (78.2% vs 84.9% for unaffected pregnancies). Adjusted analyses showed decreased odds of appropriate for gestational age birthweight in pregnancies with both gestational diabetes and hypertensive disorders of pregnancy compared with unaffected pregnancies (adjusted odds ratio, 0.72 [95% confidence interval, 0.52-1.00]; P=.049), and in pregnancies complicated by gestational diabetes alone (adjusted odds ratio, 0.78 [0.68-0.89]; P<.001) or hypertensive disorders of pregnancy alone (adjusted odds ratio, 0.73 [0.66-0.81]; P<.001). The absolute risk of large for gestational age birthweight was greater in pregnancies with both gestational diabetes and hypertensive disorders of pregnancy (14.5%) than in unaffected pregnancies (8.2%), without apparent difference in the risk of small for gestational age birthweight (7.3% vs 6.9%). However, in adjusted models comparing pregnancies with gestational diabetes/hypertensive disorders of pregnancy co-occurrence with unaffected pregnancies, neither an association with large for gestational age birthweight (adjusted odds ratio, 1.33 [0.88-2.00]; P=.171) nor small for gestational age birthweight (adjusted odds ratio, 1.32 [0.80-2.19]; P=.293) reached statistical significance. Gestational diabetes/hypertensive disorders of pregnancy co-occurrence carried an increased risk of neonatal morbidity that was greater than that observed with either condition alone (gestational diabetes/hypertensive disorders of pregnancy: adjusted odds ratio, 3.13 [2.35-4.17]; P<.001; gestational diabetes alone: adjusted odds ratio, 2.01 [1.78-2.27]; P<.001; hypertensive disorders of pregnancy alone: adjusted odds ratio, 1.38 [1.26-1.50]; P<.001). CONCLUSION Although pregnancies with both gestational diabetes and hypertensive disorders of pregnancy have a similar median birthweight percentile to those affected by neither condition, pregnancies concurrently affected by both conditions have a higher risk of abnormal fetal growth and neonatal morbidity.
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Affiliation(s)
- Chioma Onuoha
- School of Medicine, University of California, San Francisco, San Francisco, CA
| | | | - Tanayott Thaweethai
- Biostatistics Center, Massachusetts General Hospital, Boston, MA; Harvard Medical School, Boston, MA
| | - Sarah Hsu
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA
| | - Deepti Pant
- Biostatistics Center, Massachusetts General Hospital, Boston, MA
| | - Kaitlyn E James
- Harvard Medical School, Boston, MA; Department of Obstetrics and Gynecology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Sarbattama Sen
- Harvard Medical School, Boston, MA; Department of Pediatrics, Brigham and Women's Hospital, Boston, MA
| | - Anjali Kaimal
- Department of Obstetrics and Gynecology, University of South Florida Morsani College of Medicine, Tampa, FL
| | - Camille E Powe
- Harvard Medical School, Boston, MA; Broad Institute, Cambridge, MA; Diabetes Unit, Endocrinology Division, Massachusetts General Hospital, Boston, MA.
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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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9
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Andrews C, Maya J, Schulte CC, Hsu S, Thaweethai T, James KE, Halperin J, Powe CE, Sen S. Risk of Neonatal Hypoglycemia in Infants of Mothers With Gestational Glucose Intolerance. Diabetes Care 2024; 47:1194-1201. [PMID: 38787410 PMCID: PMC11208751 DOI: 10.2337/dc23-2239] [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: 11/21/2023] [Accepted: 04/18/2024] [Indexed: 05/25/2024]
Abstract
OBJECTIVE To examine the relationship between gestational glucose intolerance (GGI) and neonatal hypoglycemia. RESEARCH DESIGN AND METHODS This was a secondary analysis of 8,262 mother-infant dyads, with delivery at two hospitals between 2014 and 2023. We categorized maternal glycemic status as normal glucose tolerance (NGT), GGI, or gestational diabetes mellitus (GDM). We defined NGT according to a normal glucose load test result, GGI according to an abnormal glucose load test result with zero (GGI-0) or one (GGI-1) abnormal value on the 100-g oral glucose tolerance test, and GDM according to an abnormal glucose load test result with two or more abnormal values on the glucose tolerance test. Neonatal hypoglycemia was defined according to blood glucose <45 mg/dL or ICD-9 or ICD-10 diagnosis of neonatal hypoglycemia. We used logistic regression analysis to determine associations between maternal glucose tolerance category and neonatal hypoglycemia and conducted a sensitivity analysis using Δ-adjusted multiple imputation, assuming for unscreened infants a rate of neonatal hypoglycemia as high as 33%. RESULTS Of infants, 12% had neonatal hypoglycemia. In adjusted models, infants born to mothers with GGI-0 had 1.28 (95% 1.12, 1.65), GGI-1 1.58 (95% CI 1.11, 2.25), and GDM 4.90 (95% CI 3.81, 6.29) times higher odds of neonatal hypoglycemia in comparison with infants born to mothers with NGT. Associations in sensitivity analyses were consistent with the primary analysis. CONCLUSIONS GGI is associated with increased risk of neonatal hypoglycemia. Future research should include examination of these associations in a cohort with more complete neonatal blood glucose ascertainment and determination of the clinical significance of these findings on long-term child health.
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Affiliation(s)
- Chloe Andrews
- Department of Pediatrics, Brigham and Women’s Hospital, Boston, MA
| | - Jacqueline Maya
- Diabetes Unit, Endocrine Division, Department of Medicine, Massachusetts General Hospital, Boston, MA
- Department of Pediatrics, Massachusetts General Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Carolin C.M. Schulte
- Biostatistics, Massachusetts General Hospital, Boston, MA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Sarah Hsu
- Diabetes Unit, Endocrine Division, Department of Medicine, Massachusetts General Hospital, Boston, MA
- Broad Institute of MIT and Harvard, Cambridge, MA
| | - Tanayott Thaweethai
- Harvard Medical School, Boston, MA
- Biostatistics, Massachusetts General Hospital, Boston, MA
| | - Kaitlyn E. James
- Harvard Medical School, Boston, MA
- Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA
| | - Jose Halperin
- Harvard Medical School, Boston, MA
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA
| | - Camille E. Powe
- Diabetes Unit, Endocrine Division, Department of Medicine, Massachusetts General Hospital, Boston, MA
- Harvard Medical School, Boston, MA
- Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA
| | - Sarbattama Sen
- Department of Pediatrics, Brigham and Women’s Hospital, Boston, MA
- Harvard Medical School, Boston, MA
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10
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Ghaneialvar H, Mohseni MM, Kenarkoohi A, Kakaee S. Are miR-26a and miR-26b microRNAs potent prognostic markers of gestational diabetes? Health Sci Rep 2024; 7:e2152. [PMID: 38831779 PMCID: PMC11144624 DOI: 10.1002/hsr2.2152] [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: 11/06/2023] [Revised: 03/02/2024] [Accepted: 05/08/2024] [Indexed: 06/05/2024] Open
Abstract
Background Gestational diabetes mellitus is a common public health problem, accompanied by complications for the mother and fetus. So, introducing new biomarkers to identify early diabetes is essential. As serum miRNAs are potentially appropriate markers, we investigated miR-26a and miR-26b expression levels in pregnant women with and without gestational diabetes. Method Demographic and clinical characteristics of 40 gestational diabetic patients and 40 healthy controls were assessed. The expression level of miR-26a and miR-26b microRNAs was measured by real-time PCR. Statistical analysis was done with GraphPad Prism software (version 8.4.3). Result The findings of this study showed that the expression level of miR-26a and miR-26b increased in women with gestational diabetes compared with healthy pregnant women, but the increase in expression was only significant for miR-26a (p < 0.05). Conclusion According to the statistical and ROC curves, we suggest miR-26a as a potential biomarker for the early diagnosis of gestational diabetes mellitus.
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Affiliation(s)
- Hori Ghaneialvar
- Biotechnology and Medicinal Plants Research CenterIlam University of Medical SciencesIlamIran
| | | | - Azra Kenarkoohi
- Department of Laboratory Sciences, School of Allied Medical SciencesIlam University of Medical SciencesIlamIran
| | - Saeed Kakaee
- Biotechnology and Medicinal Plants Research CenterIlam University of Medical SciencesIlamIran
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11
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Kumah NE, Agbeno EK, Derkyi-Kwarteng L, Aniakwaa-Bonsu E, Djonor SK, Acquah S. Gestational glucose intolerance among pregnant women at the Cape Coast Teaching Hospital. BMC Pregnancy Childbirth 2024; 24:356. [PMID: 38745311 PMCID: PMC11092027 DOI: 10.1186/s12884-024-06568-y] [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: 04/17/2024] [Accepted: 05/07/2024] [Indexed: 05/16/2024] Open
Abstract
BACKGROUND Malaria in pregnancy can have adverse outcomes if untreated. Both malaria and pregnancy are associated with insulin resistance and diabetes. Although malaria is treated prophylactically with gestational diabetes mellitus (GDM) screened for in pregnancy as part a routine antenatal care, their impacts have not been examined in terms of other forms of dysglycaemia. This cross-sectional study examined insulin resistance and its relationship with dysglycaemia and malaria among pregnant women in the Cape Coast Teaching Hospital (CCTH). METHODS Using a structured questionnaire, demographic and clinical information were obtained from 252 pregnant women aged 18-42 years. Weight and height were measured for computation of body mass index (BMI). Measurement of insulin, lipid profile and glucose were taken under fasting conditions followed by oral glucose tolerant test. Insulin resistance and beta-cell function were assessed by the homeostatic model as malaria was diagnosed by microscopy. RESULTS The respective prevalence of GDM, gestational glucose intolerance (GGI) and insulin resistance were 0.8% (2/252), 19.44% (49/252) and 56.75% (143/252). No malaria parasite or dyslipidaemia was detected in any of the participants. Apart from BMI that increased across trimesters, no other measured parameter differed among the participants. Junior High School (JHS) education compared with no formal education increased the odds (AOR: 2.53; CI: 1.12-5.71; P = 0.03) but 2nd trimester of pregnancy compared to the 1st decreased the odds (AOR: 0.32; CI: 0.12-0.81; P = 0.02) of having insulin resistance in the entire sample. In a sub-group analysis across trimesters, pregnant women with JHS education in their 3rd trimester had increased odds (AOR: 4.41; CI: 1.25-15.62; P = 0.02) of having insulin resistance. CONCLUSION Prevalence of GDM and GGI were 0.8% and 19.44% respectively. The odds of insulin resistance increased in pregnant women with JHS education in the 3rd trimester. Appropriate measures are needed to assuage the diabetogenic risk posed by GGI in our setting.
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Affiliation(s)
- Nelson Ekow Kumah
- Department of Microbiology and Immunology, School of Medical Sciences, College of Health and Allied Sciences, University of Cape Coast, Cape Coast, Ghana
| | - Evans Kofi Agbeno
- Department of Obstetrics and Gynaecology, School of Medical Sciences, College of Health and Allied Sciences, University of Cape Coast, Cape Coast, Ghana
| | - Leonard Derkyi-Kwarteng
- Department of Pathology, School of Medical Sciences, College of Health and Allied Sciences, University of Cape Coast, Cape Coast, Ghana
| | - Ebenezer Aniakwaa-Bonsu
- Department of Microbiology and Immunology, School of Medical Sciences, College of Health and Allied Sciences, University of Cape Coast, Cape Coast, Ghana
| | - Sampson Kafui Djonor
- Department of Epidemiology and Disease Control, School of Public Health, University of Ghana, Accra, Ghana
| | - Samuel Acquah
- Department of Medical Biochemistry, School of Medical Sciences, College of Health and Allied Sciences, University of Cape Coast, Cape Coast, Ghana.
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12
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Preston EV, Quinn MR, Williams PL, McElrath TF, Cantonwine DE, Seely EW, Wylie BJ, Hacker MR, O'Brien K, Brown FM, Powe CE, Bellavia A, Wang Z, Tomsho KS, Hauser R, James-Todd T. Cohort profile: the Environmental Reproductive and Glucose Outcomes (ERGO) Study (Boston, Massachusetts, USA) - a prospective pregnancy cohort study of the impacts of environmental exposures on parental cardiometabolic health. BMJ Open 2024; 14:e079782. [PMID: 38719310 PMCID: PMC11086466 DOI: 10.1136/bmjopen-2023-079782] [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: 09/13/2023] [Accepted: 04/25/2024] [Indexed: 05/12/2024] Open
Abstract
PURPOSE Pregnancy and the postpartum period are increasingly recognised as sensitive windows for cardiometabolic disease risk. Growing evidence suggests environmental exposures, including endocrine-disrupting chemicals (EDCs), are associated with an increased risk of pregnancy complications that are associated with long-term cardiometabolic risk. However, the impact of perinatal EDC exposure on subsequent cardiometabolic risk post-pregnancy is less understood. The Environmental Reproductive and Glucose Outcomes (ERGO) Study was established to investigate the associations of environmental exposures during the perinatal period with post-pregnancy parental cardiometabolic health. PARTICIPANTS Pregnant individuals aged ≥18 years without pre-existing diabetes were recruited at <15 weeks of gestation from Boston, Massachusetts area hospitals. Participants completed ≤4 prenatal study visits (median: 12, 19, 26, 36 weeks of gestation) and 1 postpartum visit (median: 9 weeks), during which we collected biospecimens, health histories, demographic and behavioural data, and vitals and anthropometric measurements. Participants completed a postpartum fasting 2-hour 75 g oral glucose tolerance test. Clinical data were abstracted from electronic medical records. Ongoing (as of 2024) extended post-pregnancy follow-up visits occur annually following similar data collection protocols. FINDINGS TO DATE We enrolled 653 unique pregnancies and retained 633 through delivery. Participants had a mean age of 33 years, 10% (n=61) developed gestational diabetes and 8% (n=50) developed pre-eclampsia. Participant pregnancy and postpartum urinary phthalate metabolite concentrations and postpartum glycaemic biomarkers were quantified. To date, studies within ERGO found higher exposure to phthalates and phthalate mixtures, and separately, higher exposure to radioactive ambient particulate matter, were associated with adverse gestational glycaemic outcomes. Additionally, certain personal care products used in pregnancy, notably hair oils, were associated with higher urinary phthalate metabolite concentrations, earlier gestational age at delivery and lower birth weight. FUTURE PLANS Future work will leverage the longitudinal data collected on pregnancy and cardiometabolic outcomes, environmental exposures, questionnaires, banked biospecimens and paediatric data within the ERGO Study.
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Affiliation(s)
- Emma V Preston
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Marlee R Quinn
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Paige L Williams
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Thomas F McElrath
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Division of Maternal Fetal Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - David E Cantonwine
- Division of Maternal Fetal Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Ellen W Seely
- Division of Endocrinology, Diabetes, and Hypertension, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Blair J Wylie
- Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
- Department of Obstetrics and Gynecology, Columbia University Vagelos College of Physicians and Surgeons, New York City, New York, USA
| | - Michele R Hacker
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Karen O'Brien
- Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Florence M Brown
- Joslin Diabetes Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Camille E Powe
- Diabetes Unit, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Department of Obstetrics and Gynecology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Andrea Bellavia
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Zifan Wang
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Kathryn S Tomsho
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Russ Hauser
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Obstetrics and Gynecology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Tamarra James-Todd
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
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13
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Hussein-Aro R, Maor-Sagie E, Toledano Y, Hallak M, Gabbay-Benziv R. One abnormal value in oral glucose tolerance test during pregnancy and type 2 diabetes risk: Insights from a 5-Year Follow-Up study. Diabetes Res Clin Pract 2024; 211:111659. [PMID: 38609019 DOI: 10.1016/j.diabres.2024.111659] [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: 10/17/2023] [Revised: 03/30/2024] [Accepted: 04/04/2024] [Indexed: 04/14/2024]
Abstract
OBJECTIVES To evaluate the risk of type 2 diabetes(T2D) following one abnormal value(OAbV) in an oral glucose tolerance test(oGTT) performed during pregnancy. STUDY DESIGN A retrospective analysis of parturients between 01.01.2017 and 31.12.2020 with 5 years of follow-up after delivery. Glucose levels during pregnancy were extracted from the computerized laboratory system of Meuhedet HMO and cross-tabulated with the Israeli National Registry of Diabetes. Women with multiple gestations or pregestational diabetes were excluded. Maternal characteristics and risk of T2D were stratified and compared between 3 groups: normal glucose status, OAbV in oGTT, and gestational diabetes. Statistical analysis included univariate analysis followed by survival analysis. Further analysis was stratified to women with and without obesity. RESULTS 58,693 women entered the analysis. Following an adjustment to maternal age, obesity, hypertension, and hyperlipidemia, OAbV in oGTT was associated with a 1.8-fold increased risk of T2D in a 5-year follow-up compared to normal glucose status. When stratified by obesity, OAbV was associated with a 3.7-fold increase in T2D in women without obesity, however, was no longer a statistically significant predictor of T2D among women with obesity. CONCLUSIONS Women with OAbV oGTT during pregnancy are at increased risk for developing T2D over 5 years of follow-up.
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Affiliation(s)
- Rawia Hussein-Aro
- 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 HMO, 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 HMO, 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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14
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Stanhope KK, Gunderson EP, Suglia SF, Boulet SL, Jamieson DJ, Kiefe CI, Kershaw KN. Understanding the role of childhood nurture, abuse, and stability on gestational diabetes in the Coronary Artery Risk Development in Young Adults study (CARDIA). Ann Epidemiol 2024; 91:30-36. [PMID: 38266664 PMCID: PMC10922764 DOI: 10.1016/j.annepidem.2024.01.007] [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: 10/06/2023] [Revised: 01/17/2024] [Accepted: 01/19/2024] [Indexed: 01/26/2024]
Abstract
BACKGROUND To estimate associations between facets of the maternal childhood family environment with gestational diabetes (GDM) and to test mediation by pre-pregnancy waist circumference. METHODS We used data from CARDIA, a cohort of individuals aged 18-30 years at baseline (1985-86), followed over 30 years (2016). We included participants with one or more pregnancies ≥ 20 weeks after baseline, without pre-pregnancy diabetes. The primary exposure was the Childhood Family Environment Scale (assessed year 15), including the total score and abuse, nurture, and stability subscales as continuous, separate exposures. The outcome was GDM (self-reported at each visit for each pregnancy). We fit log binomial models with generalized estimating equations to calculate risk ratios (RR) and 95% confidence intervals (CI), adjusting for age at delivery, parity, race (Black or White), and parental education. We used regression models with bootstrapped CIs to test mediation and effect modification by excess abdominal adiposity at the last preconception CARDIA visit (waist circumference ≥ 88 cm). RESULTS We included 1033 individuals (46% Black) with 1836 pregnancies. 130 pregnancies (7.1%) were complicated by GDM. For each 1 point increase on the abuse subscale (e.g., from "rarely or never" to "some or little of the time") there was a 30% increased risk of GDM (RR: 1.3, 95% CI: 1.0, 1.7). There was evidence of effect modification but not mediation by preconception abdominal adiposity. CONCLUSIONS A more adverse childhood family environment was associated with increased risk of GDM, with a stronger association among individuals with preconception waist circumference ≥ 88 cm.
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Affiliation(s)
- Kaitlyn K Stanhope
- Department of Gynecology and Obstetrics, Emory University School of Medicine, USA.
| | - Erica P Gunderson
- Division of Research, Kaiser Permanente Northern California, USA; Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, USA
| | - Shakira F Suglia
- Department of Epidemiology, Emory Rolling School of Public Health, USA
| | - Sheree L Boulet
- Department of Gynecology and Obstetrics, Emory University School of Medicine, USA
| | - Denise J Jamieson
- Department of Gynecology and Obstetrics, Emory University School of Medicine, USA
| | - Catarina I Kiefe
- Population and Quantitative Health Sciences, UMass Chan Medical School, USA
| | - Kiarri N Kershaw
- Preventive Medicine, Northwestern Feinberg School of Medicine, USA
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15
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Melov SJ, Elhindi J, White L, McNab J, Lee VW, Donnolley K, Alahakoon TI, Padmanabhan S, Cheung NW, Pasupathy D. Previous High-Intensity Breastfeeding Lowers the Risk of an Abnormal Fasting Glucose in a Subsequent Pregnancy Oral Glucose Tolerance Test. Nutrients 2023; 16:28. [PMID: 38201858 PMCID: PMC10780944 DOI: 10.3390/nu16010028] [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: 11/26/2023] [Revised: 12/16/2023] [Accepted: 12/18/2023] [Indexed: 01/12/2024] Open
Abstract
Breastfeeding is associated with reduced lifetime cardiometabolic risk, but little is known regarding the metabolic benefit in a subsequent pregnancy. The primary aim of this study was to investigate the association between breastfeeding duration and intensity and next pregnancy oral glucose tolerance test (OGTT) results. A retrospective cohort study was conducted from March 2020 to October 2022. All multiparous women who met inclusion criteria and gave birth during the study period were eligible for inclusion. Analysis was stratified by risk for gestational diabetes (GDM). High GDM risk criteria included previous GDM and BMI > 35 kg/m2. The association between breastfeeding duration and high-intensity breastfeeding (HIBF) and subsequent pregnancy OGTT were assessed with multivariate logistic models adjusted for statistically and clinically relevant covariables. There were 5374 multiparous participants who met the inclusion criteria for analysis. Of these, 61.7% had previously breastfed for >6 months, and 43.4% were at high risk for GDM. HIBF was associated with 47% reduced odds of an abnormal fasting glucose in a subsequent pregnancy OGTT (aOR 0.53; 95%CI 0.38-0.75; p < 0.01). There was no association between HIBF and other glucose results on the OGTT. Women who smoked were least likely to breastfeed at high intensity (aOR 0.31; 95%CI 0.21-0.47; p < 0.01). South Asian women had 65% higher odds of HIBF than women who identified as White/European (aOR 1.65; 1.36-2.00; p < 0.01). This study highlights the importance of exclusive breastfeeding to potentially reduce the prevalence of GDM and may also translate into long-term reduction of cardiometabolic risk.
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Affiliation(s)
- Sarah J. Melov
- Reproduction and Perinatal Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2006, Australia; (J.E.); (J.M.); (D.P.)
- Westmead Institute for Maternal and Fetal Medicine, Women’s and Newborn Health, Westmead Hospital, Westmead, Sydney, NSW 2145, Australia;
| | - James Elhindi
- Reproduction and Perinatal Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2006, Australia; (J.E.); (J.M.); (D.P.)
| | - Lisa White
- Women’s Health Maternity, Blacktown and Mt Druitt Hospitals, Blacktown, NSW 2148, Australia;
| | - Justin McNab
- Reproduction and Perinatal Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2006, Australia; (J.E.); (J.M.); (D.P.)
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2006, Australia; (V.W.L.); (N.W.C.)
| | - Vincent W. Lee
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2006, Australia; (V.W.L.); (N.W.C.)
- Department of Renal Medicine, Westmead Hospital, Westmead, Sydney, NSW 2145, Australia
| | - Kelly Donnolley
- Consumer Representative, Western Sydney Local Health District, Sydney, NSW 2151, Australia
| | - Thushari I. Alahakoon
- Westmead Institute for Maternal and Fetal Medicine, Women’s and Newborn Health, Westmead Hospital, Westmead, Sydney, NSW 2145, Australia;
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2006, Australia; (V.W.L.); (N.W.C.)
| | - Suja Padmanabhan
- Department of Diabetes and Endocrinology, Westmead Hospital, Westmead, Sydney, NSW 2145, Australia;
| | - N. Wah Cheung
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2006, Australia; (V.W.L.); (N.W.C.)
- Department of Diabetes and Endocrinology, Westmead Hospital, Westmead, Sydney, NSW 2145, Australia;
| | - Dharmintra Pasupathy
- Reproduction and Perinatal Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2006, Australia; (J.E.); (J.M.); (D.P.)
- Westmead Institute for Maternal and Fetal Medicine, Women’s and Newborn Health, Westmead Hospital, Westmead, Sydney, NSW 2145, Australia;
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Bianchi C, Resi V, Manicardi E, Burlina S, Sculli MA, Formoso G, Sciacca L. Commentary from the Italian Association of Medical Diabetologists (AMD) and Italian Society of Diabetology (SID) Interassociative Diabetes and Pregnancy Study Group on the screening and diagnostic methods for gestational diabetes: An open debate. Nutr Metab Cardiovasc Dis 2023; 33:2102-2106. [PMID: 37684171 DOI: 10.1016/j.numecd.2023.03.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 03/08/2023] [Accepted: 03/09/2023] [Indexed: 09/10/2023]
Abstract
The current board of the interassociative Italian association of medical diabetologists (AMD)/Italian society of diabetology (SID) Diabetes and Pregnancy Italian Study Group commented about two recent papers published in the New England Journal of Medicine that investigated the screening and diagnostic methods for gestational diabetes mellitus (GDM). It is well recognized that effective screening and accurate, early diagnosis of GDM contributes to better management of these women in order to reduce adverse maternal and fetal/neonatal outcomes. However, there is worldwide controversy concerning which screening (selective or universal; one step or two steps) and which diagnostic criteria (glucose thresholds) are appropriate. The main findings of these papers are discussed along with their implications for the management of pregnant women.
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Affiliation(s)
- Cristina Bianchi
- Interassociative Diabetes and Pregnancy Study Group, Italian Association of Medical Diabetologists (AMD), Italian Society of Diabetology (SID), Rome, Italy; Metabolic Diseases and Diabetes Unit, University Hospital of Pisa, Pisa, Italy
| | - Veronica Resi
- Diabetes Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
| | - Elisa Manicardi
- Interassociative Diabetes and Pregnancy Study Group, Italian Association of Medical Diabetologists (AMD), Italian Society of Diabetology (SID), Rome, Italy; Diabetes Unit, Primary Health Care, Local Health Authority of Reggio Emilia-IRCCS, Reggio Emilia, Italy
| | - Silvia Burlina
- Interassociative Diabetes and Pregnancy Study Group, Italian Association of Medical Diabetologists (AMD), Italian Society of Diabetology (SID), Rome, Italy; Department of Medicine, DIMED, University of Padova, Italy
| | - Maria Angela Sculli
- Interassociative Diabetes and Pregnancy Study Group, Italian Association of Medical Diabetologists (AMD), Italian Society of Diabetology (SID), Rome, Italy; Endocrinology and Diabetes, Bianchi-Melacrino-Morelli Hospital, Reggio Calabria, Italy
| | - Gloria Formoso
- Interassociative Diabetes and Pregnancy Study Group, Italian Association of Medical Diabetologists (AMD), Italian Society of Diabetology (SID), Rome, Italy; Department of Medicine and Aging Sciences, Center for Advanced Studies and Technology (CAST, Ex CeSIMet) G. d'Annunzio University Chieti-Pescara, Italy
| | - Laura Sciacca
- Interassociative Diabetes and Pregnancy Study Group, Italian Association of Medical Diabetologists (AMD), Italian Society of Diabetology (SID), Rome, Italy; Department of Clinical and Experimental Medicine, Endocrinology Section, University of Catania, Catania, Italy
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17
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Succurro E, Vitacolonna E. Editorial: Obesity, hyperglycemia, and pregnancy: from pathophysiology to clinical practice - volume II. Front Endocrinol (Lausanne) 2023; 14:1283609. [PMID: 37766677 PMCID: PMC10520456 DOI: 10.3389/fendo.2023.1283609] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2023] [Accepted: 08/29/2023] [Indexed: 09/29/2023] Open
Affiliation(s)
- Elena Succurro
- Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, Catanzaro, Italy
- Research Center for the Prevention and Treatment of Metabolic Diseases (CR METDIS), University Magna Graecia of Catanzaro, Catanzaro, Italy
| | - Ester Vitacolonna
- Department of Medicine and Aging, School of Medicine, and Health Sciences, “G. d’Annunzio” University, Chieti, Italy
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18
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Maya J, Selen DJ, Thaweethai T, Hsu S, Godbole D, Schulte CC, James K, Sen S, Kaimal A, Hivert MF, Powe CE. Gestational Glucose Intolerance and Birth Weight-Related Complications. Obstet Gynecol 2023; 142:594-602. [PMID: 37539973 PMCID: PMC10527009 DOI: 10.1097/aog.0000000000005278] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 04/13/2023] [Indexed: 08/05/2023]
Abstract
OBJECTIVE To evaluate the risks of large-for-gestational-age birth weight (LGA) and birth weight-related complications in pregnant individuals with gestational glucose intolerance, an abnormal screening glucose loading test result without meeting gestational diabetes mellitus (GDM) criteria. METHODS In a retrospective cohort study of 46,989 individuals with singleton pregnancies who delivered after 28 weeks of gestation, those with glucose loading test results less than 140 mg/dL were classified as having normal glucose tolerance. Those with glucose loading test results of 140 mg/dL or higher and fewer than two abnormal values on a 3-hour 100-g oral glucose tolerance test (OGTT) were classified as having gestational glucose intolerance. Those with two or more abnormal OGTT values were classified as having GDM. We hypothesized that gestational glucose intolerance would be associated with higher odds of LGA (birth weight greater than the 90th percentile for gestational age and sex). We used generalized estimating equations to examine the odds of LGA in pregnant individuals with gestational glucose intolerance compared with those with normal glucose tolerance, after adjustment for age, body mass index, parity, health insurance, race and ethnicity, and marital status. In addition, we investigated differences in birth weight-related adverse pregnancy outcomes. RESULTS Large for gestational age was present in 7.8% of 39,685 pregnant individuals with normal glucose tolerance, 9.5% of 4,155 pregnant individuals with gestational glucose intolerance and normal OGTT, 14.5% of 1,438 pregnant individuals with gestational glucose intolerance and one abnormal OGTT value, and 16.0% of 1,711 pregnant individuals with GDM. The adjusted odds of LGA were higher in pregnant individuals with gestational glucose intolerance than in those with normal glucose tolerance overall (adjusted odds ratio [aOR] 1.35, 95% CI 1.23-1.49, P <.001). When compared separately with pregnant individuals with normal glucose tolerance, those with either gestational glucose intolerance subtype had higher adjusted LGA odds (gestational glucose intolerance with normal OGTT aOR 1.21, 95% CI 1.08-1.35, P <.001; gestational glucose intolerance with one abnormal OGTT value aOR 1.77, 95% CI 1.52-2.08, P <.001). The odds of birth weight-related adverse outcomes (including cesarean delivery, severe perineal lacerations, and shoulder dystocia or clavicular fracture) were higher in pregnant individuals with gestational glucose intolerance with one abnormal OGTT value than in those with normal glucose tolerance. CONCLUSION Gestational glucose intolerance in pregnancy is associated with birth weight-related adverse pregnancy outcomes. Glucose lowering should be investigated as a strategy for lowering the risk of these outcomes in this group.
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Affiliation(s)
- Jacqueline Maya
- Diabetes Unit and Department of Medicine, Massachusetts General Hospital, Boston, MA, United States
- Department of Pediatrics, Massachusetts General Hospital, Boston, MA, United States
- Harvard Medical School, Boston, MA, United States
| | - Daryl J. Selen
- Department of Medicine, Division of Endocrinology, Warren Alpert Medical School of Brown University, Providence, RI, United States
| | - Tanayott Thaweethai
- Harvard Medical School, Boston, MA, United States
- Biostatistics Center, Massachusetts General Hospital, Boston, MA, United States
| | - Sarah Hsu
- Diabetes Unit and Department of Medicine, Massachusetts General Hospital, Boston, MA, United States
- Broad Institute of MIT and Harvard, Boston, MA, United States
| | - Devika Godbole
- Biostatistics Center, Massachusetts General Hospital, Boston, MA, United States
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | | | - Kaitlyn James
- Harvard Medical School, Boston, MA, United States
- Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA, United States
| | - Sarbattama Sen
- Harvard Medical School, Boston, MA, United States
- Department of Pediatric Newborn Medicine, Brigham and Women’s Hospital, Boston, MA, United States
| | - Anjali Kaimal
- Department of Obstetrics and Gynecology, Morsani College of Medicine, University of South Florida, Tampa, FL, United States
| | - Marie-France Hivert
- Diabetes Unit and Department of Medicine, Massachusetts General Hospital, Boston, MA, United States
- Division of Chronic Disease Research Across the Lifecourse (CoRAL), Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, United States
| | - Camille E. Powe
- Diabetes Unit and Department of Medicine, Massachusetts General Hospital, Boston, MA, United States
- Harvard Medical School, Boston, MA, United States
- Broad Institute of MIT and Harvard, Boston, MA, United States
- Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA, United States
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19
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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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