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Saravanan P, Deepa M, Ahmed Z, Ram U, Surapaneni T, Kallur SD, Desari P, Suresh S, Anjana RM, Hannah W, Shivashri C, Hemavathy S, Sukumar N, Kosgei WK, Christoffersen-Deb A, Kibet V, Hector JN, Anusu G, Stallard N, Ghebremichael-Weldeselassie Y, Waugh N, Pastakia SD, Mohan V. Early pregnancy HbA 1c as the first screening test for gestational diabetes: results from three prospective cohorts. Lancet Diabetes Endocrinol 2024; 12:535-544. [PMID: 38936371 DOI: 10.1016/s2213-8587(24)00151-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Revised: 05/15/2024] [Accepted: 05/15/2024] [Indexed: 06/29/2024]
Abstract
BACKGROUND More than 90% of gestational diabetes cases are estimated to occur in low-income and middle-income countries (LMICs). Most current guidelines recommend an oral glucose tolerance test (OGTT) at 24-28 weeks of gestation. The OGTT is burdensome, especially in LMICs, resulting in a high proportion of women not being screened. We aimed to develop a simple and effective screening strategy for gestational diabetes. METHODS STRiDE, a prospective cohort study, was set up in seven centres in south India and seven centres in western Kenya, and included pregnant women aged 18-50 years of age and at less than 16 weeks of gestation (<20 weeks in Kenya), confirmed by dating ultrasound. We assessed the efficacy of early pregnancy HbA1c (venous and capillary point-of-care), either alone or as part of a composite risk score with age, BMI, and family history of diabetes, in predicting gestational diabetes at 24-28 weeks of gestation, in two LMICs (India and Kenya) and in a UK multi-ethnic population from the PRiDE study. A key secondary outcome was to assess whether an early pregnancy composite risk score can reduce the need for OGTTs. Gestational diabetes was diagnosed using current WHO criteria. FINDINGS Between Feb 15, 2016, Dec 13, 2019, we enrolled 3070 participants in India and 4104 in Kenya. 4320 participants were included from the PRiDE cohort. Gestational diabetes prevalence by OGTT at 24-28 weeks was 19·2% in India, 3·0% in Kenya, and 14·5% in the UK. Early pregnancy HbA1c was independently associated with incidence of gestational diabetes at 24-28 weeks of gestation. Adjusted risk ratios were 1·60 (95% CI 1·19-2·16) in India, 3·49 (2·8-4·34) in Kenya, and 4·72 (3·82-5·82) in the UK. Composite risk score models that combined venous or point-of-care HbA1c with age, BMI, and family history of diabetes best predicted testing positive for gestational diabetes. A population-specific, two-threshold screening strategy of rule-in and rule-out gestational diabetes using early pregnancy composite risk score could reduce the requirement of OGTTs by 50-64%. For the HbA1c-alone model, the thresholds were 5·4% (rule in) and 4·9% (rule out) in India, 6·0% (rule in) and 5·2% (rule out) in Kenya, and 5·6% (rule in) and 5·2% (rule out) in the UK. INTERPRETATION Early pregnancy HbA1c offers a simple screening test for gestational diabetes, allowing those at highest risk to receive early intervention and greatly reduce the need for OGTTs. This can also be carried out using point-of-care HbA1c in LMICs. FUNDING UK Medical Research Council and the Indian Department of Biotechnology.
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Affiliation(s)
- Ponnusamy Saravanan
- Warwick Applied Health, Warwick Medical School, University of Warwick, Coventry, UK; Warwick Centre for Global Health, University of Warwick, Coventry, UK; Department of Diabetes, Endocrinology and Metabolism, George Eliot Hospital, Nuneaton, UK.
| | - Mohan Deepa
- Department of Epidemiology, Madras Diabetes Research Foundation, Chennai, India
| | - Zain Ahmed
- Warwick Applied Health, Warwick Medical School, University of Warwick, Coventry, UK
| | - Uma Ram
- Seethapathy Clinic and Hospital, Chennai, India; Fetal Care Research Foundation, Chennai, India
| | | | | | - Papa Desari
- Obstetrics and Gynaecology, Jawaharlal Institute of Post Graduate Medical Education, Puducherry, India
| | - Seshadri Suresh
- Fetal Care Research Foundation, Chennai, India; Mediscan Systems, Chennai, India
| | - Ranjit Mohan Anjana
- Department of Diabetology, Madras Diabetes Research Foundation, Chennai, India; Department of Diabetology, Dr Mohan's Diabetes Specialities Centre, Chennai, India
| | - Wesley Hannah
- Department of Epidemiology, Madras Diabetes Research Foundation, Chennai, India; School of Medicine, Deakin University, Melbourne, VIC, Australia
| | - Chockalingam Shivashri
- Warwick Applied Health, Warwick Medical School, University of Warwick, Coventry, UK; Department of Epidemiology, Madras Diabetes Research Foundation, Chennai, India
| | - Saite Hemavathy
- Department of Epidemiology, Madras Diabetes Research Foundation, Chennai, India; University of Madras, Chennai, India
| | - Nithya Sukumar
- Warwick Applied Health, Warwick Medical School, University of Warwick, Coventry, UK; Department of Diabetes, Endocrinology and Metabolism, George Eliot Hospital, Nuneaton, UK
| | | | - Astrid Christoffersen-Deb
- Moi Teaching and Referral Hospital, Eldoret, Kenya; Department of Obstetrics and Gynaecology, University of Toronto, ON, Canada; Department of Obstetrics and Gynaecology, University of British Columbia, Vancouver, BC, Canada
| | | | | | | | - Nigel Stallard
- Clinical Trials Unit, Warwick Medical School, University of Warwick, Coventry, UK
| | - Yonas Ghebremichael-Weldeselassie
- Warwick Applied Health, Warwick Medical School, University of Warwick, Coventry, UK; School of Mathematics and Statistics, The Open University, Milton Keynes, UK
| | - Norman Waugh
- Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, UK
| | - Sonak D Pastakia
- Moi Teaching and Referral Hospital, Eldoret, Kenya; Purdue University College of Pharmacy, Center for Health Equity and Innovation, West Lafayette, IN, USA
| | - Viswanathan Mohan
- Department of Diabetology, Madras Diabetes Research Foundation, Chennai, India; Department of Diabetology, Dr Mohan's Diabetes Specialities Centre, Chennai, India
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Soldevila B, Alarcón L, Vlacho B, Real J, Hernández M, Cos X, Franch-Nadal J, Mauricio D. Trends in the prevalence of gestational diabetes in Catalonia from 2010 to 2019. Prim Care Diabetes 2024; 18:169-176. [PMID: 38228411 DOI: 10.1016/j.pcd.2023.12.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 12/27/2023] [Accepted: 12/28/2023] [Indexed: 01/18/2024]
Abstract
INTRODUCTION Gestational diabetes mellitus (GDM) is globally increasing due to changes in risk factors such as gestational age, obesity, and socioeconomic status (SES). This study examined trends of GDM prevalence over ten years using a real-world Primary Health Care database from Catalonia (Spain). METHODS A retrospective analysis of pregnant women screened for GDM was conducted, using clinical and SES data from the SIDIAP database. RESULTS Among 221,806 women studied from 2010 to 2019,17,587 had GDM, equating to a 7.9% prevalence (95% CI 7.8-8.04). GDM subjects were older (33.5 ± 5.1 vs. 31.2 ± 5.6 years; p < 0.001) and had higher BMI (29.2 ± 5.1 vs .27.8 ± 4.8 kg/m²; p < 0.001) than non-GDM individuals. Overall GDM prevalence remained unchanged throughout the study, although an increase was observed in younger women (below 20 years: 1.28% [95% CI 0.59-2.42] in 2010 to 2.22% [95% CI 0.96-4.33] in 2019, p = 0.02; ages 20-25.9 years: 3.62% [95% CI 3.12-4.17] in 2010 to 4.63% [95% CI 3.88-5.48)] in 2019, p = 0.02). Age, BMI ≥ 25 kg/m2, deprived SES, and previous hypertension and dyslipidaemia were positively associated with GDM. CONCLUSIONS This study offers insights into GDM prevalence in Catalonia (Spain),showing overall stability except for a rising trend among younger women.
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Affiliation(s)
- Berta Soldevila
- Department of Endocrinology & Nutrition. University Hospital Germans Trias i Pujol, Badalona, Spain; Germans Trias i Pujol Research Institute, Badalona, Spain; Department of Medicine. Autonomous University of Barcelona, Bellaterra, Spain; CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Barcelona, Spain; DAP Cat group, Unitat de Suport a la Recerca Barcelona, Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | - Lourdes Alarcón
- Department of Endocrinology & Nutrition. University Hospital Germans Trias i Pujol, Badalona, Spain; Germans Trias i Pujol Research Institute, Badalona, Spain; Faculty of Medicine, University of Vic/Central University of Catalonia (UVIC/UCC), Vic, Spain
| | - Bogdan Vlacho
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Barcelona, Spain; DAP Cat group, Unitat de Suport a la Recerca Barcelona, Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | - Jordi Real
- DAP Cat group, Unitat de Suport a la Recerca Barcelona, Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | - Marta Hernández
- DAP Cat group, Unitat de Suport a la Recerca Barcelona, Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain; Department of Endocrinology & Nutrition. University Hospital Arnau de Vilanova, Lleida, Spain; Lleida Institute for Biomedical Research Dr. Pifarré Foundation IRBLleida, University of Lleida, Lleida, Spain
| | - Xavier Cos
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Barcelona, Spain; DAP Cat group, Unitat de Suport a la Recerca Barcelona, Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain; Innovation office at Institut Català de la Salut, Barcelona, Spain
| | - Josep Franch-Nadal
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Barcelona, Spain; DAP Cat group, Unitat de Suport a la Recerca Barcelona, Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain.
| | - Dídac Mauricio
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Barcelona, Spain; DAP Cat group, Unitat de Suport a la Recerca Barcelona, Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain; Faculty of Medicine, University of Vic/Central University of Catalonia (UVIC/UCC), Vic, Spain; Department of Endocrinology and Nutrition, Hospital Universitari de la Santa Creu i Sant Pau, IIB Sant Pau, Barcelona, Spain.
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Gerszi D, Orosz G, Török M, Szalay B, Karvaly G, Orosz L, Hetthéssy J, Vásárhelyi B, Török O, Horváth EM, Várbíró S. Risk Estimation of Gestational Diabetes Mellitus in the First Trimester. J Clin Endocrinol Metab 2023; 108:e1214-e1223. [PMID: 37247379 PMCID: PMC10584002 DOI: 10.1210/clinem/dgad301] [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: 11/02/2022] [Revised: 05/05/2023] [Accepted: 05/24/2023] [Indexed: 05/31/2023]
Abstract
CONTEXT There is no early, first-trimester risk estimation available to predict later (gestational week 24-28) gestational diabetes mellitus (GDM); however, it would be beneficial to start an early treatment to prevent the development of complications. OBJECTIVE We aimed to identify early, first-trimester prediction markers for GDM. METHODS The present case-control study is based on the study cohort of a Hungarian biobank containing biological samples and follow-up data from 2545 pregnant women. Oxidative-nitrative stress-related parameters, steroid hormone, and metabolite levels were measured in the serum/plasma samples collected at the end of the first trimester from 55 randomly selected control and 55 women who developed GDM later. RESULTS Pregnant women who developed GDM later during the pregnancy were older and had higher body mass index. The following parameters showed higher concentration in their serum/plasma samples: fructosamine, total antioxidant capacity, testosterone, cortisone, 21-deoxycortisol; soluble urokinase plasminogen activator receptor, dehydroepiandrosterone sulfate, dihydrotestosterone, cortisol, and 11-deoxycorticosterone levels were lower. Analyzing these variables using a forward stepwise multivariate logistic regression model, we established a GDM prediction model with a specificity of 96.6% and sensitivity of 97.5% (included variables: fructosamine, cortisol, cortisone, 11-deoxycorticosterone, SuPAR). CONCLUSION Based on these measurements, we accurately predict the development of later-onset GDM (24th-28th weeks of pregnancy). Early risk estimation provides the opportunity for targeted prevention and the timely treatment of GDM. Prevention and slowing the progression of GDM result in a lower lifelong metabolic risk for both mother and offspring.
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Affiliation(s)
- Dóra Gerszi
- Department of Obstetrics and Gynecology, Faculty of Medicine, Semmelweis University, Budapest H-1082, Hungary
- Department of Physiology, Faculty of Medicine, Semmelweis University, Budapest H-1094, Hungary
| | - Gergő Orosz
- Department of Obstetrics and Gynecology, Faculty of Medicine, University of Debrecen Medical and Health Science Centre, Debrecen H-4032, Hungary
| | - Marianna Török
- Department of Obstetrics and Gynecology, Faculty of Medicine, Semmelweis University, Budapest H-1082, Hungary
- Workgroup for Science Management, Doctoral School, Semmelweis University, Budapest H-1085, Hungary
| | - Balázs Szalay
- Department of Laboratory Medicine, Semmelweis University, Budapest H-1083, Hungary
| | - Gellért Karvaly
- Laboratory of Mass Spectrometry and Separation Technology, Department of Laboratory Medicine, Semmelweis University, Budapest H-1089, Hungary
| | - László Orosz
- Department of Obstetrics and Gynecology, Faculty of Medicine, University of Debrecen Medical and Health Science Centre, Debrecen H-4032, Hungary
| | - Judit Hetthéssy
- Workgroup for Science Management, Doctoral School, Semmelweis University, Budapest H-1085, Hungary
| | - Barna Vásárhelyi
- Department of Laboratory Medicine, Semmelweis University, Budapest H-1083, Hungary
| | - Olga Török
- Department of Obstetrics and Gynecology, Faculty of Medicine, University of Debrecen Medical and Health Science Centre, Debrecen H-4032, Hungary
| | - Eszter M Horváth
- Department of Physiology, Faculty of Medicine, Semmelweis University, Budapest H-1094, Hungary
| | - Szabolcs Várbíró
- Department of Obstetrics and Gynecology, Faculty of Medicine, Semmelweis University, Budapest H-1082, Hungary
- Workgroup for Science Management, Doctoral School, Semmelweis University, Budapest H-1085, Hungary
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D'Arcy RJ, Cooke IE, McKinley M, McCance DR, Graham UM. First-trimester glycaemic markers as predictors of gestational diabetes and its associated adverse outcomes: A prospective cohort study. Diabet Med 2023; 40:e15019. [PMID: 36453695 PMCID: PMC10107539 DOI: 10.1111/dme.15019] [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: 06/24/2022] [Revised: 10/18/2022] [Accepted: 11/30/2022] [Indexed: 12/02/2022]
Abstract
OBJECTIVE Gestational diabetes mellitus (GDM) is associated with excessive fetal growth in later gestation. Recent data suggest accelerated growth may begin before 28 weeks' gestation when GDM is typically diagnosed. The identification of pregnancies at risk of early fetal growth would enable early intervention. We assessed the use of early pregnancy HbA1c in predicting excessive fetal growth. RESEARCH DESIGN AND METHODS Women were recruited at antenatal booking from a major maternity unit in the UK. HbA1c was measured at <14 weeks gestation in 1243 women at risk of GDM as defined by UK NICE risk factors of whom 1115 underwent OGTT. Women with previous GDM were excluded. Comprehensive fetal ultrasound was performed at 28 weeks' gestation alongside 75 g OGTT in 976 of these women. GDM was defined using WHO criteria. Pregnancy outcomes were extracted from the regional maternity care database. RESULTS Two hundred and thirty-six women screened positive for GDM. At diagnosis, GDM pregnancies demonstrated higher adjusted fetal weight percentile than non-GDM pregnancies: (51.8 vs. 46.3, p = 0.008). This was driven by increases in the fetal abdominal circumference percentile in GDM compared with non-GDM pregnancies (55.3 vs. 46.2, p = <0.001). Early pregnancy HbA1c was higher in the GDM versus non-GDM group: (35.7 mmol/mol vs. 32.9 mmol/mol p = <0.01). A threshold for predicting excessive fetal growth was not identified in this cohort. CONCLUSIONS Accelerated fetal growth is evident prior to the diagnosis of GDM. There remains a need for suitable methods of early identification of pregnancies at high risk for early accelerated fetal growth due to GDM. First-trimester HbA1c was not useful in identifying these pregnancies. NOVELTY STATEMENT WHAT IS ALREADY KNOWN?: Recent research suggests excessive growth associated with GDM may begin prior to 28 weeks' gestation, when GDM is typically tested for WHAT THIS STUDY HAS FOUND?: Pregnancies affected by GDM are already subject to accelerated fetal growth in comparison to non-GDM pregnancies by way of higher estimated fetal weight and fetal abdominal circumference Neither first-trimester HbA1c nor plasma glucose was useful predictors of these outcomes WHAT ARE THE IMPLICATIONS OF THIS STUDY?: Highlights the emergence of excessive growth prior to detection of GDM Reinforces need for suitable methods of identifying such pregnancies in earlier gestation.
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Affiliation(s)
- Robert J D'Arcy
- Regional Centre for Endocrinology, Royal Victoria Hospital, Belfast, UK
- Centre for Public Health, Queens University Belfast, UK
| | | | | | - David R McCance
- Regional Centre for Endocrinology, Royal Victoria Hospital, Belfast, UK
| | - Una M Graham
- Regional Centre for Endocrinology, Royal Victoria Hospital, Belfast, UK
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Bernier E, Lachance A, Plante AS, Lemieux P, Mourabit Amari K, Weisnagel SJ, Gagnon C, Michaud A, Tchernof A, Morisset AS. Trimester-Specific Serum Fructosamine in Association with Abdominal Adiposity, Insulin Resistance, and Inflammation in Healthy Pregnant Individuals. Nutrients 2022; 14:nu14193999. [PMID: 36235652 PMCID: PMC9572673 DOI: 10.3390/nu14193999] [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] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 09/16/2022] [Accepted: 09/22/2022] [Indexed: 11/16/2022] Open
Abstract
This study aimed to (1) characterize the variations in serum fructosamine across trimesters and according to pre-pregnancy BMI (ppBMI), and (2) examine associations between fructosamine and adiposity/metabolic markers (ppBMI, first-trimester adiposity, leptin, glucose homeostasis, and inflammation measurements) during pregnancy. Serum fructosamine, albumin, fasting glucose and insulin, leptin, adiponectin, interleukin-6 (IL-6), and C-reactive protein (CRP) concentrations were measured at each trimester. In the first trimester, subcutaneous (SAT) and visceral (VAT) adipose tissue thicknesses were estimated by ultrasound. In the 101 healthy pregnant individuals included (age: 32.2 ± 3.5 y.o.; ppBMI: 25.5 ± 5.5 kg/m2), fructosamine concentrations decreased during pregnancy whereas albumin-corrected fructosamine concentrations increased (p < 0.0001 for both). Notably, fructosamine concentrations were inversely associated with ppBMI, first-trimester SAT, VAT, and leptin (r = −0.55, r = −0.61, r = −0.48, r = −0.47, respectively; p < 0.0001 for all), first-trimester fasting insulin and HOMA-IR (r = −0.46, r = −0.46; p < 0.0001 for both), and first-trimester IL-6 (r = −0.38, p < 0.01). However, once corrected for albumin, most of the correlations lost strength. Once adjusted for ppBMI, fructosamine concentrations were positively associated with third-trimester fasting glucose and CRP (r = 0.24, r = 0.27; p < 0.05 for both). In conclusion, serum fructosamine is inversely associated with adiposity before and during pregnancy, with markers of glucose homeostasis and inflammation, but the latter associations are partially influenced by albumin concentrations and ppBMI.
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Affiliation(s)
- Emilie Bernier
- École de Nutrition, l’Université Laval, Québec, QC G1V 0A6, Canada
- Centre Nutrition, Santé et Société (NUTRISS), l’Institut sur la Nutrition et les Aliments Fonctionnels (INAF), l’Université Laval, Québec, QC G1V 0A6, Canada
- Axe Endocrinologie et Néphrologie, Centre de Recherche, CHU de Québec-Université Laval, Québec, QC G1V 4G2, Canada
| | - Amélie Lachance
- École de Nutrition, l’Université Laval, Québec, QC G1V 0A6, Canada
- Centre Nutrition, Santé et Société (NUTRISS), l’Institut sur la Nutrition et les Aliments Fonctionnels (INAF), l’Université Laval, Québec, QC G1V 0A6, Canada
- Centre de Recherche de l’Institut Universitaire de Cardiologie et de Pneumologie, Québec-Université Laval, Québec, QC G1V 4G5, Canada
| | - Anne-Sophie Plante
- Centre Nutrition, Santé et Société (NUTRISS), l’Institut sur la Nutrition et les Aliments Fonctionnels (INAF), l’Université Laval, Québec, QC G1V 0A6, Canada
- Axe Endocrinologie et Néphrologie, Centre de Recherche, CHU de Québec-Université Laval, Québec, QC G1V 4G2, Canada
| | - Patricia Lemieux
- Axe Endocrinologie et Néphrologie, Centre de Recherche, CHU de Québec-Université Laval, Québec, QC G1V 4G2, Canada
- Département de Médecine, l’Université Laval, Québec, QC G1V 0A6, Canada
| | - Karim Mourabit Amari
- Département de Médecine de Laboratoire, CHU de Québec-Université Laval, Québec, QC G1V 4G5, Canada
| | - S. John Weisnagel
- Axe Endocrinologie et Néphrologie, Centre de Recherche, CHU de Québec-Université Laval, Québec, QC G1V 4G2, Canada
- Département de Médecine, l’Université Laval, Québec, QC G1V 0A6, Canada
| | - Claudia Gagnon
- Axe Endocrinologie et Néphrologie, Centre de Recherche, CHU de Québec-Université Laval, Québec, QC G1V 4G2, Canada
- Département de Médecine, l’Université Laval, Québec, QC G1V 0A6, Canada
| | - Andréanne Michaud
- École de Nutrition, l’Université Laval, Québec, QC G1V 0A6, Canada
- Centre Nutrition, Santé et Société (NUTRISS), l’Institut sur la Nutrition et les Aliments Fonctionnels (INAF), l’Université Laval, Québec, QC G1V 0A6, Canada
- Centre de Recherche de l’Institut Universitaire de Cardiologie et de Pneumologie, Québec-Université Laval, Québec, QC G1V 4G5, Canada
| | - André Tchernof
- École de Nutrition, l’Université Laval, Québec, QC G1V 0A6, Canada
- Centre Nutrition, Santé et Société (NUTRISS), l’Institut sur la Nutrition et les Aliments Fonctionnels (INAF), l’Université Laval, Québec, QC G1V 0A6, Canada
- Centre de Recherche de l’Institut Universitaire de Cardiologie et de Pneumologie, Québec-Université Laval, Québec, QC G1V 4G5, Canada
| | - Anne-Sophie Morisset
- École de Nutrition, l’Université Laval, Québec, QC G1V 0A6, Canada
- Centre Nutrition, Santé et Société (NUTRISS), l’Institut sur la Nutrition et les Aliments Fonctionnels (INAF), l’Université Laval, Québec, QC G1V 0A6, Canada
- Axe Endocrinologie et Néphrologie, Centre de Recherche, CHU de Québec-Université Laval, Québec, QC G1V 4G2, Canada
- Correspondence: ; Tel.: +1-418-656-2131 (ext. 13982)
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Valadan M, Bahramnezhad Z, Golshahi F, Feizabad E. The role of first-trimester HbA1c in the early detection of gestational diabetes. BMC Pregnancy Childbirth 2022; 22:71. [PMID: 35086491 PMCID: PMC8793236 DOI: 10.1186/s12884-021-04330-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Accepted: 12/14/2021] [Indexed: 11/12/2022] Open
Abstract
Background We aimed to assess the utility of HbA1c in the early detection of gestational diabetes (GDM) in the first trimester. Methods This prospective study was performed on 700 pregnant women in the perinatology clinic at a tertiary university hospital from March 2018 to March 2020. For all pregnant women, HbA1c and fasting blood glucose (FBG) levels were examined during the first trimester. Then, a GDM screening test was done within 24–28 weeks of pregnancy using a 100 g oral glucose tolerance test (OGTT) as the gold standard test. The GDM diagnosis was made according to the American Diabetes Association (ADA) criteria. Sensitivity, specificity, positive (PPV), and negative predictive value (NPV) of HbA1c and FBG were calculated using the receiver operating characteristic (ROC) curve. Results Of 700 participants, one hundred and fifteen (16.4%) women had GDM. The GDM patients were significantly older and had a higher pre-gestational body mass index and pregnancy weight gain compared to the non-GDM participants. The sensitivity and specificity for ruling out GDM at an HbA1c cut-off value of 4.85% was 92.2 and 32.8%, respectively, with a 95.5% NPV and a 21.2% PPV. Furthermore, sensitivity and specificity for diagnosing GDM at an HbA1c cut-off value of 5.45% was 54.8 and 96.8%, respectively, with a 91.5% NPV and a 76.8% PPV. Using HbA1c could decline OGTT in 40.4% of the pregnant women (28.7% with HbA1c < 4.85 and 11.7% with HbA1c ≥ 5.45%). Conclusion It seems that the first-trimester HbA1c cannot replace OGTT for the diagnosis of GDM because of its insufficient sensitivity and specificity. However, women with higher first-trimester HbA1c had a high risk for GDM incidence.
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Affiliation(s)
- Mehrnaz Valadan
- Department of Obstetrics and Gynecology, Yas Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Zeinab Bahramnezhad
- Department of Obstetrics and Gynecology, Yas Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Fatemeh Golshahi
- Maternal, Fetal and Neonatal Research Center, Tehran University of Medical Sciences, Yas Hospital, Tehran, Iran
| | - Elham Feizabad
- Department of Obstetrics and Gynecology, Yas Hospital, Tehran University of Medical Sciences, Tehran, Iran.
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Tripathy S, Murugesan A, Natarajan K, Ramraj B, Mohapatra S. Early screening biomarker HbA1c and Hematocrit for gestational diabetes mellitus. CLINICAL EPIDEMIOLOGY AND GLOBAL HEALTH 2022. [DOI: 10.1016/j.cegh.2021.100945] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
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Paulo MS, Abdo NM, Bettencourt-Silva R, Al-Rifai RH. Gestational Diabetes Mellitus in Europe: A Systematic Review and Meta-Analysis of Prevalence Studies. Front Endocrinol (Lausanne) 2021; 12:691033. [PMID: 34956073 PMCID: PMC8698118 DOI: 10.3389/fendo.2021.691033] [Citation(s) in RCA: 65] [Impact Index Per Article: 21.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Accepted: 11/17/2021] [Indexed: 01/14/2023] Open
Abstract
Background Gestational Diabetes Mellitus (GDM) is defined as the type of hyperglycemia diagnosed for the first-time during pregnancy, presenting with intermediate glucose levels between normal levels for pregnancy and glucose levels diagnostic of diabetes in the non-pregnant state. We aimed to systematically review and meta-analyze studies of prevalence of GDM in European countries at regional and sub-regional levels, according to age, trimester, body weight, and GDM diagnostic criteria. Methods Systematic search was conducted in five databases to retrieve studies from 2014 to 2019 reporting the prevalence of GDM in Europe. Two authors have independently screened titles and abstracts and full text according to eligibility using Covidence software. A random-effects model was used to quantify weighted GDM prevalence estimates. The National Heart, Lung, and Blood Institute criteria was used to assess the risk of bias. Results From the searched databases, 133 research reports were deemed eligible and included in the meta-analysis. The research reports yielded 254 GDM-prevalence studies that tested 15,572,847 pregnant women between 2014 and 2019. The 133 research reports were from 24 countries in Northern Europe (44.4%), Southern Europe (27.1%), Western Europe (24.1%), and Eastern Europe (4.5%). The overall weighted GDM prevalence in the 24 European countries was estimated at 10.9% (95% CI: 10.0-11.8, I2 : 100%). The weighted GDM prevalence was highest in the Eastern Europe (31.5%, 95% CI: 19.8-44.6, I2 : 98.9%), followed by in Southern Europe (12.3%, 95% CI: 10.9-13.9, I2 : 99.6%), Western Europe (10.7%, 95% CI: 9.5-12.0, I2 : 99.9%), and Northern Europe (8.9%, 95% CI: 7.9-10.0, I2 : 100). GDM prevalence was 2.14-fold increased in pregnant women with maternal age ≥30 years (versus 15-29 years old), 1.47-fold if the diagnosis was made in the third trimester (versus second trimester), and 6.79- fold in obese and 2.29-fold in overweight women (versus normal weight). Conclusions In Europe, GDM is significant in pregnant women, around 11%, with the highest prevalence in pregnant women of Eastern European countries (31.5%). Findings have implications to guide vigilant public health awareness campaigns about the risk factors associated with developing GDM. Systematic Review Registration PROSPERO [https://www.crd.york.ac.uk/PROSPERO/], identifier CRD42020161857.
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Affiliation(s)
- Marília Silva Paulo
- Institute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
| | - Noor Motea Abdo
- Institute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
| | - Rita Bettencourt-Silva
- Department of Endocrinology and Nutrition, Unidade Local de Saúde do Alto Minho, Viana do Castelo, Portugal
- Department of Endocrinology, Hospital Lusíadas Porto, Porto, Portugal
| | - Rami H. Al-Rifai
- Institute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
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9
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Bhattacharya S, Nagendra L, Krishnamurthy A, Lakhani OJ, Kapoor N, Kalra B, Kalra S. Early Gestational Diabetes Mellitus: Diagnostic Strategies and Clinical Implications. Med Sci (Basel) 2021; 9:59. [PMID: 34698239 PMCID: PMC8544345 DOI: 10.3390/medsci9040059] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2021] [Revised: 09/17/2021] [Accepted: 09/18/2021] [Indexed: 12/16/2022] Open
Abstract
Preexisting diabetes mellitus (DM) should be ruled out early in pregnancy in those at risk. During screening, a significant proportion of women do not reach the threshold for overt DM but fulfill the criteria used for diagnosing conventional gestational DM (cGDM). There is no consensus on the management of pregnancies with intermediate levels of hyperglycemia thus diagnosed. We have used the term early gestational DM (eGDM) for this condition and reviewed the currently available literature. Fasting plasma glucose (FPG), oral glucose tolerance test, and glycated hemoglobin (HbA1c) are the commonly employed screening tools in early pregnancy. Observational studies suggest that early pregnancy FPG and Hba1c correlate with the risk of cGDM and adverse perinatal outcomes. However, specific cut-offs, including those proposed by the International Association of the Diabetes and Pregnancy Study Group, do not reliably predict the development of cGDM. Emerging data, though indicate that FPG ≥ 92 mg/dL (5.1 mmol/L), even in the absence of cGDM, signals the risk for perinatal complication. Elevated HbA1c, especially a level ≥ 5.9%, also correlates with the risk of cGDM and worsened outcome. HbA1c as a diagnostic test is however besieged with the usual caveats that occur in pregnancy. The studies that explored the effects of intervention present conflicting results, including a possibility of fetal malnutrition and small-for-date baby in the early treatment group. Diagnostic thresholds and glycemic targets in eGDM may differ, and large multicenter randomized controlled trials are necessary to define the appropriate strategy.
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Affiliation(s)
| | - Lakshmi Nagendra
- Department of Endocrinology, K.S Hegde Medical Academy, Mangalore 575018, India;
| | | | - Om J. Lakhani
- Department of Endocrinology, Zydus Hospital, Ahmedabad 380058, India;
| | - Nitin Kapoor
- Department of Endocrinology, Diabetes and Metabolism, Christian Medical College, Vellore 632004, India;
| | - Bharti Kalra
- Department of Obstetrics, Bharti Hospital, Karnal 132001, India;
| | - Sanjay Kalra
- Department of Endocrinology, Bharti Hospital, Karnal 132001, India;
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10
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Çetin C, Güngör ND, Yavuz M. First trimester glycosylated hemoglobin for gestational diabetes mellitus screening. Taiwan J Obstet Gynecol 2021; 60:899-902. [PMID: 34507669 DOI: 10.1016/j.tjog.2021.08.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/07/2021] [Indexed: 11/30/2022] Open
Abstract
OBJECTIVE Our aim in this study is to evaluate the efficacy of HbA1c in screening for GDM during the first trimester of pregnancy. MATERIALS AND METHODS In this retrospective cohort study, we evaluated the first trimester HbA1c (ft-HbA1c) levels of 195 pregnant women who attended our university hospital's obstetrics clinic. Blood samples were drawn from patients during 11-14 weeks of gestation. After that, all patients were screened using standardized one-step 75gr OGTT between 24 and 28 weeks of pregnancy. RESULTS In this study, 195 pregnant women were included. Thirty-two (16.4%) of the women included in this study were diagnosed with GDM. The mean ft-HbA1c level was 5.52% in those who developed GDM and 5.21% in those who did not develop GDM (p = 0.000). Only seven (3.6%) of the women included in this study had an ft-HbA1c level above the prediabetes limit of 5.7%. All these women with prediabetes developed GDM. The cut-off value for ft-HbA1c to distinguish GDM was 5,33%. For this cut-off value, the sensitivity was 71.9%, and the specificity was 82.8%. CONCLUSION The findings suggest that ft-HbA1c level is a promising biomarker for GDM screening. Especially, patients with ft-HbA1c level ≥5.33% are at increased risk for developing GDM.
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Affiliation(s)
- Cihan Çetin
- Bahçeşehir University, School of Medicine, Medical Park Göztepe Hospital, Department of Obstetrics and Gynecology, Istanbul, Turkey.
| | - Nur Dokuzeylül Güngör
- Medical Park Göztepe Hospital, Obstetrics and Gynecology, IVF Center, Istanbul, Turkey
| | - Melike Yavuz
- Bahçeşehir University, School of Medicine, Department of Public Health, Istanbul, Turkey
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11
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Pillay J, Donovan L, Guitard S, Zakher B, Gates M, Gates A, Vandermeer B, Bougatsos C, Chou R, Hartling L. Screening for Gestational Diabetes: Updated Evidence Report and Systematic Review for the US Preventive Services Task Force. JAMA 2021; 326:539-562. [PMID: 34374717 DOI: 10.1001/jama.2021.10404] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
IMPORTANCE Gestational diabetes is associated with several poor health outcomes. OBJECTIVE To update the 2012 review on screening for gestational diabetes to inform the US Preventive Services Task Force. DATA SOURCES MEDLINE, EMBASE, and CINAHL (2010 to May 2020), ClinicalTrials.gov, reference lists; surveillance through June 2021. STUDY SELECTION English-language intervention studies for screening and treatment; observational studies on screening; prospective studies on screening test accuracy. DATA EXTRACTION AND SYNTHESIS Dual review of titles/abstracts, full-text articles, and study quality. Single-reviewer data abstraction with verification. Random-effects meta-analysis or bivariate analysis (accuracy). MAIN OUTCOMES AND MEASURES Pregnancy, fetal/neonatal, and long-term health outcomes; harms of screening; accuracy. RESULTS A total of 76 studies were included (18 randomized clinical trials [RCTs] [n = 31 241], 2 nonrandomized intervention studies [n = 190], 56 observational studies [n = 261 678]). Direct evidence on benefits of screening vs no screening was limited to 4 observational studies with inconsistent findings and methodological limitations. Screening was not significantly associated with serious or long-term harm. In 5 RCTs (n = 25 772), 1-step (International Association of Diabetes and Pregnancy Study Group) vs 2-step (Carpenter and Coustan) screening was significantly associated with increased likelihood of gestational diabetes (11.5% vs 4.9%) but no improved health outcomes. At or after 24 weeks of gestation, oral glucose challenge tests with 140- and 135-mg/dL cutoffs had sensitivities of 82% and 93%, respectively, and specificities of 82% and 79%, respectively, against Carpenter and Coustan criteria, and a test with a 140-mg/dL cutoff had sensitivity of 85% and specificity of 81% against the National Diabetes Group Data criteria. Fasting plasma glucose tests with cutoffs of 85 and 90 mg/dL had sensitivities of 88% and 81% and specificities of 73% and 82%, respectively, against Carpenter and Coustan criteria. Based on 8 RCTs and 1 nonrandomized study (n = 3982), treatment was significantly associated with decreased risk of primary cesarean deliveries (relative risk [RR], 0.70 [95% CI, 0.54-0.91]; absolute risk difference [ARD], 5.3%), shoulder dystocia (RR, 0.42 [95% CI, 0.23-0.77]; ARD, 1.3%), macrosomia (RR, 0.53 [95% CI, 0.41-0.68]; ARD, 8.9%), large for gestational age (RR, 0.56 [95% CI, 0.47-0.66]; ARD, 8.4%), birth injuries (odds ratio, 0.33 [95% CI, 0.11-0.99]; ARD, 0.2%), and neonatal intensive care unit admissions (RR, 0.73 [95% CI, 0.53-0.99]; ARD, 2.0%). The association with reduction in preterm deliveries was not significant (RR, 0.75 [95% CI, 0.56-1.01]). CONCLUSIONS AND RELEVANCE Direct evidence on screening vs no screening remains limited. One- vs 2-step screening was not significantly associated with improved health outcomes. At or after 24 weeks of gestation, treatment of gestational diabetes was significantly associated with improved health outcomes.
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Affiliation(s)
- Jennifer Pillay
- University of Alberta Evidence-based Practice Center, Department of Pediatrics, University of Alberta, Edmonton, Alberta, Canada
| | - Lois Donovan
- Faculty of Medicine, Departments of Obstetrics & Gynecology and Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Samantha Guitard
- University of Alberta Evidence-based Practice Center, Department of Pediatrics, University of Alberta, Edmonton, Alberta, Canada
| | - Bernadette Zakher
- University of Alberta Evidence-based Practice Center, Department of Pediatrics, University of Alberta, Edmonton, Alberta, Canada
| | - Michelle Gates
- University of Alberta Evidence-based Practice Center, Department of Pediatrics, University of Alberta, Edmonton, Alberta, Canada
| | - Allison Gates
- University of Alberta Evidence-based Practice Center, Department of Pediatrics, University of Alberta, Edmonton, Alberta, Canada
| | - Ben Vandermeer
- University of Alberta Evidence-based Practice Center, Department of Pediatrics, University of Alberta, Edmonton, Alberta, Canada
| | - Christina Bougatsos
- Pacific Northwest Evidence-based Practice Center, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, Oregon
| | - Roger Chou
- Pacific Northwest Evidence-based Practice Center, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, Oregon
| | - Lisa Hartling
- University of Alberta Evidence-based Practice Center, Department of Pediatrics, University of Alberta, Edmonton, Alberta, Canada
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12
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Minschart C, Beunen K, Benhalima K. An Update on Screening Strategies for Gestational Diabetes Mellitus: A Narrative Review. Diabetes Metab Syndr Obes 2021; 14:3047-3076. [PMID: 34262311 PMCID: PMC8273744 DOI: 10.2147/dmso.s287121] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Accepted: 06/18/2021] [Indexed: 12/16/2022] Open
Abstract
Gestational diabetes mellitus (GDM) is a frequent medical complication during pregnancy. Screening and diagnostic practices for GDM are inconsistent across the world. This narrative review includes data from 87 observational studies and randomized controlled trials (RCTs), and aims to give an overview of the current evidence on screening strategies and diagnostic criteria for GDM. Screening in early pregnancy remains controversial and studies show conflicting results on the benefit of screening and treatment of GDM in early pregnancy. Implementing the one-step "International Association of Diabetes and Pregnancy Study Groups" (IADPSG) screening strategy at 24-28 weeks often leads to a substantial increase in the prevalence of GDM, without conclusive evidence regarding the benefits on pregnancy outcomes compared to a two-step screening strategy with a glucose challenge test (GCT). In addition, RCTs are needed to investigate the impact of treatment of GDM diagnosed with IADPSG criteria on long-term maternal and childhood outcomes. Selective screening using a risk-factor-based approach could be helpful in simplifying the screening algorithm but carries the risk of missing significant proportions of GDM cases. A two-step screening method with a 50g GCT and subsequently a 75g oral glucose tolerance test (OGTT) with IADPSG could be an alternative to reduce the need for an OGTT. However, to have an acceptable sensitivity to screen for GDM with the IADPSG criteria, the threshold of the GCT should be lowered from 7.8 to 7.2 mmol/L. A pragmatic approach to screen for GDM can be implemented during the COVID-19 pandemic, using fasting plasma glucose (FPG), HbA1c or even random plasma glucose (RPG) to reduce the number of OGTTs needed. However, usual guidelines and care should be resumed as soon as the COVID pandemic is controlled.
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Affiliation(s)
- Caro Minschart
- Clinical and Experimental Endocrinology, Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, 3000, Belgium
| | - Kaat Beunen
- Clinical and Experimental Endocrinology, Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, 3000, Belgium
| | - Katrien Benhalima
- Clinical and Experimental Endocrinology, Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, 3000, Belgium
- Department of Endocrinology, University Hospital Gasthuisberg, KU Leuven, Leuven, 3000, Belgium
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13
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Jamieson EL, Spry EP, Kirke AB, Griffiths E, Porter C, Roxburgh C, Singleton S, Sterry K, Atkinson DN, Marley JV. Prediabetes and pregnancy: Early pregnancy HbA 1c identifies Australian Aboriginal women with high-risk of gestational diabetes mellitus and adverse perinatal outcomes. Diabetes Res Clin Pract 2021; 176:108868. [PMID: 34023341 DOI: 10.1016/j.diabres.2021.108868] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Revised: 05/06/2021] [Accepted: 05/18/2021] [Indexed: 10/21/2022]
Abstract
AIMS To assess whether early pregnancy HbA1c can predict gestational diabetes mellitus (GDM) and adverse birth outcomes in Australian women. METHODS Prospective study of 466 women without diabetes, aged ≥16-years at first antenatal presentation. Recruitment was from 27 primary healthcare sites in rural and remote Australia from 9-January 2015 to 31-May 2018. HbA1c was measured with first antenatal investigations (<20-weeks gestation). Primary outcome measure was predictive value of HbA1c for GDM, by routine 75 g oral glucose tolerance test (OGTT; ≥24-weeks gestation), and for large-for-gestational-age (LGA) newborn. RESULTS Of 396 (129 Aboriginal) women with routine OGTT, 28.8% had GDM (24.0% Aboriginal). HbA1c ≥5.6% (≥38 mmol/mol) was highly predictive (71.4%, 95% CI; 47.8-88.7%) for GDM in Aboriginal women, and in the total cohort increased risk for LGA newborn (RR 2.04, 95% CI; 1.03-4.01, P = 0.040). There were clear differences between Aboriginal and non-Aboriginal women: 16.3% v 5.2% (P < 0.001) had elevated HbA1c whereas 12.4% v 29.6% (P < 0.001) developed hyperglycemia during pregnancy. CONCLUSIONS Early pregnancy HbA1c ≥5.6% (≥38 mmol/mol) identifies Aboriginal women with apparent prediabetes and elevated risk of having an LGA newborn. Universal HbA1c at first antenatal presentation could facilitate earlier management of hyperglycemia and improved perinatal outcome in this high-risk population.
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Affiliation(s)
- Emma L Jamieson
- The University of Western Australia, Medical School, The Rural Clinical School of Western Australia, Building 3 Edith Cowan University, Robertson Drive, PO Box 412, Bunbury, WA 6230, Australia
| | - Erica P Spry
- The University of Western Australia, Medical School, The Rural Clinical School of Western Australia, 12 Napier Terrace, PO Box 1377, Broome, WA 6725, Australia; Kimberley Aboriginal Medical Services, 12 Napier Terrace, Broome, WA 6725, Australia
| | - Andrew B Kirke
- The University of Western Australia, Medical School, The Rural Clinical School of Western Australia, Building 3 Edith Cowan University, Robertson Drive, PO Box 412, Bunbury, WA 6230, Australia
| | - Emma Griffiths
- The University of Western Australia, Medical School, The Rural Clinical School of Western Australia, 12 Napier Terrace, PO Box 1377, Broome, WA 6725, Australia
| | - Cynthia Porter
- Geraldton Regional Aboriginal Medical Service, Rifle Range Road, Rangeway, WA 6530, Australia
| | - Carly Roxburgh
- The University of Western Australia, Medical School, The Rural Clinical School of Western Australia, 31 Stirling Terrace, Albany, WA 6330, Australia
| | - Sally Singleton
- The University of Western Australia, Medical School, The Rural Clinical School of Western Australia, 12 Napier Terrace, PO Box 1377, Broome, WA 6725, Australia
| | - Kylie Sterry
- The University of Western Australia, Medical School, The Rural Clinical School of Western Australia, St Alban's Road (rear Kalgoorlie Hospital), Kalgoorlie, WA 6433, Australia
| | - David N Atkinson
- The University of Western Australia, Medical School, The Rural Clinical School of Western Australia, 12 Napier Terrace, PO Box 1377, Broome, WA 6725, Australia
| | - Julia V Marley
- The University of Western Australia, Medical School, The Rural Clinical School of Western Australia, 12 Napier Terrace, PO Box 1377, Broome, WA 6725, Australia; Kimberley Aboriginal Medical Services, 12 Napier Terrace, Broome, WA 6725, Australia.
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14
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Yuen L, Wong VW, Wolmarans L, Simmons D. Comparison of Pregnancy Outcomes Using Different Gestational Diabetes Diagnostic Criteria and Treatment Thresholds in Multiethnic Communities between Two Tertiary Centres in Australian and New Zealand: Do They Make a Difference? INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18094588. [PMID: 33926029 PMCID: PMC8123706 DOI: 10.3390/ijerph18094588] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 04/16/2021] [Accepted: 04/21/2021] [Indexed: 11/24/2022]
Abstract
Introduction: Australia, but not New Zealand (NZ), has adopted the International Association of Diabetes and Pregnancy Study Groups (IADPSG) criteria to diagnose gestational diabetes (GDM). We compared pregnancy outcomes using these different diagnostic approaches. Method: Prospective data of women with GDM were collected from one NZ (NZ) and one Australian (Aus) hospital between 2007–2018. Aus screening criteria with 2-step risk-based 50 g Glucose Challenge Testing (GCT) followed by 75 g-oral glucose tolerance testing (OGTT): fasting ≥ 5.5, 2-h ≥ 8.0 mmol/L (ADIPS98) changed to a universal OGTT and fasting ≥5.1, 1-h ≥ 10, 2-h ≥ 8.5 mmol/L (IADPSG). NZ used GCT followed by OGTT with fasting ≥ 5.5, 2-h ≥ 9.0 mmol/L (NZSSD); in 2015 adopted a booking HbA1c (NZMOH). Primary outcome was a composite of macrosomia, perinatal death, preterm delivery, neonatal hypoglycaemia, and phototherapy. An Aus subset positive using NZSSD was also defined. RESULTS: The composite outcome odds ratio compared to IADPSG (1788 pregnancies) was higher for NZMOH (934 pregnancies) 2.227 (95%CI: 1.84–2.68), NZSSD (1344 pregnancies) 2.19 (1.83–2.61), and ADIPS98 (3452 pregnancies) 1.91 (1.66–2.20). Composite outcomes were similar between the Aus subset and NZ. Conclusions: The IADPSG diagnostic criteria were associated with the lowest rate of composite outcomes. Earlier NZ screening with HbA1c was not associated with a change in adverse pregnancy outcomes.
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Affiliation(s)
- Lili Yuen
- School of Medicine and the Translational Health Research Institute, Western Sydney University, Campbelltown, NSW 2560, Australia;
- Correspondence: ; Tel.: +612-4620-3899; Fax: +612-4620-3890
| | - Vincent W. Wong
- South Western Sydney Clinical School, University of New South Wales, Liverpool, NSW 2170, Australia;
- Diabetes and Endocrine Service, Liverpool Hospital, Liverpool, NSW 2170, Australia
| | | | - David Simmons
- School of Medicine and the Translational Health Research Institute, Western Sydney University, Campbelltown, NSW 2560, Australia;
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15
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Liu X, Wu N, Al-Mureish A. A Review on Research Progress in the Application of Glycosylated Hemoglobin and Glycated Albumin in the Screening and Monitoring of Gestational Diabetes. Int J Gen Med 2021; 14:1155-1165. [PMID: 33833555 PMCID: PMC8019620 DOI: 10.2147/ijgm.s296316] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2021] [Accepted: 03/08/2021] [Indexed: 12/16/2022] Open
Abstract
Glycosylated hemoglobin (HbA1C) and glycated albumin (GA) can be used for blood glucose management of a person with diabetes as a result of their convenience and stability. However, there is no corresponding standard for the application of glycosylated hemoglobin and glycosylated albumin in gestational diabetes mellitus (GDM). In this review, we summarize the published research and discuss three aspects of the significance of HBA1C and GA in GDM patients: screening of gestational diabetes mellitus, blood glucose monitoring and the relationship with pregnancy outcome. At present, studies suggest that HBA1C can be used as a screening indicator for pregnant women, but it cannot completely replace OGTT. HbA1C and GA can be used for blood glucose management in patients with GDM to reduce the incidence of GDM complications. However, the application of HBA1C and GA in GDM still needs more research and clinical practice support.
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Affiliation(s)
- Xinyan Liu
- Department of Endocrinology, Shengjing Hospital of China Medical University, Shenyang, 110004, People's Republic of China
| | - Na Wu
- Department of Endocrinology, Shengjing Hospital of China Medical University, Shenyang, 110004, People's Republic of China.,Clinical Skills Practice Teaching Center, Shengjing Hospital of China Medical University, Shenyang, 110004, People's Republic of China
| | - Abdulrahman Al-Mureish
- Department of Endocrinology, Shengjing Hospital of China Medical University, Shenyang, 110004, People's Republic of China
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16
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Calero Rojas M, Jurado Roger A, Gutiérrez Grúa M, de la Peña Carretero L, Romero Sotomayor V, López Braos J, Izquierdo Carrasco F, Herrero Tabanera L, Moreno Aguilar C. Improved gestational diabetes screening protocol. ADVANCES IN LABORATORY MEDICINE 2021; 2:87-107. [PMID: 37359196 PMCID: PMC10197282 DOI: 10.1515/almed-2020-0072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Accepted: 11/12/2020] [Indexed: 06/28/2023]
Abstract
Objectives This work aimed to assess the diagnostic validity of two approaches for the screening of gestational diabetes mellitus (GDM) with less discomfort for pregnant women. Methods A prospective diagnostic validation study was conducted with 2007 pregnant women. According to risk factors for GDM, women were classified into high-risk and low-risk groups. The current diagnostic procedure, based on oral glucose overload, was followed; simultaneously HbA1c was tested and an algorithm combining both biomarkers was applied. Results In the low-risk group, the Glucose challenge test (GCT) showed a higher area under the curve (AUC 0.953; 95% CI 0.915-0.992) than the HbA1c test (0.688; 95% CI 0.541-0.834). The best GCT cut-off, 153.5 mg/dL (8.52 mmol/L), showed higher diagnostic validity than that for HbA1c, 28 mmol/mol (4.75%), and that the algorithm using both tests. In the high-risk group, the GCT showed better diagnostic performance than the HbA1c and the algorithm; the optimal GCT cut-offs were higher than those recommended in current protocols. 13th week: GCT AUC 0.882 (95% CI 0.843-0.921), HbA1c AUC 0.624 (95% CI 0.562-0.686), GCT cut-off 140.5 mg/dL (7.8 mmol/L), HbA1c cut-off 33 mmol/mol (5.15%). 24th week: GCT AUC 0.944 (95% CI 0.925-0.962), HbA1c AUC 0.642 (95% CI 0.575-0.709), GCT cut-off, 145.5 mg/dL (8.08 mmol/L), HbA1c cut-off 29 mmol/mol (4.85%). Conclusions The GDM diagnostic approach using as the first step the GCT with higher cut-offs showed the best diagnostic validity. Applying these thresholds, 55.6 and 13.7% of 100 g. Oral glucose overloads would have been avoided in low-risk and high-risk pregnant women.
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Affiliation(s)
| | - Aurora Jurado Roger
- Immunlogy and Allergy Unit, Hospital Universitario Reina Sofía-IMIBIC, Córdoba, Spain
| | | | | | | | | | | | | | - Carmen Moreno Aguilar
- Immunlogy and Allergy Unit, Hospital Universitario Reina Sofía-IMIBIC, Córdoba, Spain
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17
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Sun J, Chai S, Zhao X, Yuan N, Du J, Liu Y, Li Z, Zhang X. Predictive Value of First-Trimester Glycosylated Hemoglobin Levels in Gestational Diabetes Mellitus: A Chinese Population Cohort Study. J Diabetes Res 2021; 2021:5537110. [PMID: 33928166 PMCID: PMC8053049 DOI: 10.1155/2021/5537110] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Revised: 03/09/2021] [Accepted: 03/18/2021] [Indexed: 12/13/2022] Open
Abstract
This study was aimed at exploring the predictive value of first-trimester glycosylated hemoglobin (HbA1c) levels in the diagnosis of gestational diabetes mellitus (GDM). A total of 744 pregnant women registered at the Peking University International Hospital between March 2017 and March 2019 were included in this study. Data on personal characteristics and biochemical indicators of the pregnant women were collected during the first trimester. The International Association of Diabetes and Pregnancy Study Groups has adopted specific diagnostic criteria as the gold standard for the diagnosis of GDM. Receiver operating characteristic (ROC) curve statistics were used to assess the predictive value of first-trimester HbA1c levels in the diagnosis of GDM. HbA1c levels in the first trimester were significantly higher in the GDM group than in the non-GDM group (5.23% ± 0.29% vs. 5.06 ± 0.28%, P < 0.05). The first-trimester HbA1c level was an independent risk factor for gestational diabetes. The area under the ROC curve (AUC) of HbA1c for GDM was 0.655 (95% confidence interval 0.620-0.689, P < 0.001). The positive likelihood ratio was the highest at HbA1c = 5.9%, sensitivity was 2.78, and specificity was 99.83%. There was no statistical difference in AUC between fasting blood glucose and HbA1c (P = 0.407). First-trimester HbA1c levels can be used to predict GDM. The risk of GDM was significantly increased in pregnant women with first-trimester HbA1c levels > 5.9%. There was no statistical difference between first-trimester HbA1c and fasting blood glucose levels in predicting GDM.
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Affiliation(s)
- Jianbin Sun
- Department of Endocrinology and Metabolism, Peking University International Hospital, Beijing 102206, China
| | - Sanbao Chai
- Department of Endocrinology and Metabolism, Peking University International Hospital, Beijing 102206, China
| | - Xin Zhao
- Department of Endocrinology and Metabolism, Peking University International Hospital, Beijing 102206, China
| | - Ning Yuan
- Department of Endocrinology and Metabolism, Peking University International Hospital, Beijing 102206, China
| | - Jing Du
- Department of Endocrinology and Metabolism, Peking University International Hospital, Beijing 102206, China
| | - Yufang Liu
- Department of Endocrinology and Metabolism, Peking University International Hospital, Beijing 102206, China
| | - Zhi Li
- Department of Obstetrics and Gynecology, Peking University International Hospital, Beijing 102206, China
| | - Xiaomei Zhang
- Department of Endocrinology and Metabolism, Peking University International Hospital, Beijing 102206, China
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She W, Li T, Liu Y, Liu X. CircRNA circVEGFC is Highly Expressed in Gestational Diabetes Mellitus (GDM) and It is Correlated with Multiple Adverse Events. Diabetes Metab Syndr Obes 2021; 14:4409-4414. [PMID: 34754206 PMCID: PMC8570430 DOI: 10.2147/dmso.s334728] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Accepted: 10/09/2021] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND Circular RNA vascular endothelial growth factor C (circVEGFC) is a novel regulator of glucose metabolism, while its role in gestational diabetes mellitus (GDM) is unclear. This study aimed to detect the expression of circVEGFC in GDM and explore its clinical values. METHODS This study enrolled 220 pregnant women (gestational age less than 5 weeks) with normal blood glucose level on the day of admission. The expression of circVEGFC in plasma samples of these participants was determined by RT-qPCR. The participants were divided into high and low circVEGFC level groups with the median expression level of plasma circVEGFC as the cutoff value. The development of GDM was monitored until delivery. Adverse events were also monitored. RESULTS Compared to low circVEGFC level group, GDM-free curve analysis revealed significantly higher incidence of GDM in high circVEGFC level group. In addition, plasma expression levels of circVEGFC were also higher in GDM patients than that in non-GDM patients on the day of admission and at 1 month before and after delivery. ROC curve analysis revealed that high expression levels of circVEGFC on the day of admission showed higher sensitivity and specificity in the early diagnosis of GDM. Moreover, high circVEGFC level group showed higher incidence rates of fetal malformation and hypertension. CONCLUSION Therefore, circVEGFC is highly expressed in GDM, and it is correlated with multiple adverse events.
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Affiliation(s)
- Wenjing She
- West China Second Hospital of Sichuan University/Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu City, 610041, People’s Republic of China
| | - Tao Li
- West China Second Hospital of Sichuan University/Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu City, 610041, People’s Republic of China
| | - Yan Liu
- West China Second Hospital of Sichuan University/Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu City, 610041, People’s Republic of China
| | - Xinru Liu
- West China Second Hospital of Sichuan University/Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu City, 610041, People’s Republic of China
- Correspondence: Xinru Liu West China Second Hospital of Sichuan University/Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, No. 20, Section, 3, Renmin South Road, Wuhou District, Chengdu City, 610041, People’s Republic of ChinaTel +86-028-85503067 Email
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Kattini R, Hummelen R, Kelly L. Early Gestational Diabetes Mellitus Screening With Glycated Hemoglobin: A Systematic Review. JOURNAL OF OBSTETRICS AND GYNAECOLOGY CANADA 2020; 42:1379-1384. [DOI: 10.1016/j.jogc.2019.12.015] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2019] [Revised: 12/27/2019] [Accepted: 12/28/2019] [Indexed: 11/26/2022]
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Immanuel J, Simmons D, Desoye G, Corcoy R, Adelantado JM, Devlieger R, Lapolla A, Dalfra MG, Bertolotto A, Harreiter J, Wender-Ozegowska E, Zawiejska A, Dunne FP, Damm P, Mathiesen ER, Jensen DM, Andersen LLT, Hill DJ, Jelsma JGM, Snoek FJ, Scharnagl H, Galjaard S, Kautzky-Willer A, VAN Poppel MNM. Performance of early pregnancy HbA 1c for predicting gestational diabetes mellitus and adverse pregnancy outcomes in obese European women. Diabetes Res Clin Pract 2020; 168:108378. [PMID: 32828833 DOI: 10.1016/j.diabres.2020.108378] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Revised: 07/25/2020] [Accepted: 08/17/2020] [Indexed: 10/23/2022]
Abstract
AIMS To investigate the performance of early pregnancy HbA1c for predicting gestational diabetes mellitus (GDM) and adverse pregnancy outcomes in obese women. METHODS Post hoc analysis using data from the Vitamin D And Lifestyle Intervention for GDM prevention trials conducted across 9 European countries (2012-2014). Pregnant women (BMI ≥ 29 kg/m2) underwent a baseline HbA1c and oral glucose tolerance tests at < 20 weeks, 24-28 weeks, and 35-37 weeks. Women with GDM were referred for treatment. RESULTS Among the 869 women tested, the prevalence of GDM was 25.9% before 20 weeks, with a further 8.6% at 24-28 weeks. The areas under the curves for HbA1c at the two time points were 0.55 (0.50-0.59) and 0.54 (0.47-0.61), respectively. An early HbA1c ≥ 5.7% (39 mmol/mol) (N = 111) showed low sensitivity (18.2%) with 89.1% specificity for GDM before 20 weeks, at 24-28 weeks (sensitivity of 8.0% and specificity of 88.6% after excluding early GDM), and throughout gestation (sensitivity of 15.9% and specificity of 89.4%). The ≥ 5.7% (39 mmol/mol) threshold was significantly associated with concurrent GDM before 20 weeks (adjusted OR (aOR) 2.77(1.39-5.51)) and throughout gestation (aOR 1.72 (1.02-2.89)), but not adverse pregnancy outcomes. CONCLUSIONS Early pregnancy HbA1c is of limited use for predicting either GDM or adverse outcomes in overweight/obese European women.
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Affiliation(s)
- Jincy Immanuel
- Macarthur Clinical School, Western Sydney University, Sydney, Australia
| | - David Simmons
- Macarthur Clinical School, Western Sydney University, Sydney, Australia; Institute of Metabolic Science, Addenbrookes Hospital, Cambridge, England, UK.
| | - Gernot Desoye
- Department of Obstetrics and Gynecology, Medizinische Universitaet Graz, Graz, Austria
| | - Rosa Corcoy
- Department of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain; Institut de Recerca de ĺHospital de la Santa Creu i Sant Pau, Barcelona, Spain; CIBER Bioengineering, Biomaterials and Nanotechnology, Instituto de Salud Carlos III, Madrid, Spain
| | - Juan M Adelantado
- Department of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Roland Devlieger
- KU Leuven Department of Development and Regeneration: Pregnancy, Fetus and Neonate, Belgium; Gynaecology and Obstetrics, University Hospitals Leuven, Belgium
| | | | | | | | - Jürgen Harreiter
- Department of Medicine III, Division of Endocrinology, Gender Medicine Unit Medical University of Vienna, Vienna, Austria
| | | | | | | | - Peter Damm
- Center for Pregnant Women with Diabetes, Departments of Endocrinology and Obstetrics, Rigshospitalet, Copenhagen, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Elisabeth R Mathiesen
- Center for Pregnant Women with Diabetes, Departments of Endocrinology and Obstetrics, Rigshospitalet, Copenhagen, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Dorte M Jensen
- Steno Diabetes Center Odense, Odense University Hospital, Odense, Denmark; Department of Gynecology and Obstetrics, Odense University Hospital, Odense, Denmark; Department of Clinical Research, Faculty of Health Science, University of Southern Denmark, Odense, Denmark
| | - Lise Lotte T Andersen
- Department of Gynecology and Obstetrics, Odense University Hospital, Odense, Denmark; Department of Clinical Research, Faculty of Health Science, University of Southern Denmark, Odense, Denmark
| | - David J Hill
- Recherche en Santé Lawson SA, St. Gallen, Switzerland; Lawson Health Research Institute, London, Ontario, Canada
| | - Judith G M Jelsma
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Frank J Snoek
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Medical Psychology, Amsterdam, The Netherlands
| | - Hubert Scharnagl
- Medical University of Graz, Clinical Inst Medical and Chemical Laboratory Diagnostics, Graz, Austria
| | - Sander Galjaard
- KU Leuven Department of Development and Regeneration: Pregnancy, Fetus and Neonate, Belgium; Gynaecology and Obstetrics, University Hospitals Leuven, Belgium; Department of Obstetrics and Gynaecology, Division of Obstetrics and Prenatal Medicine, Erasmus MC, University Medical Centre, Rotterdam, The Netherlands
| | - Alexandra Kautzky-Willer
- Department of Medicine III, Division of Endocrinology, Gender Medicine Unit Medical University of Vienna, Vienna, Austria; Gender Institute Gars am Kamp, Vienna, Austria
| | - Mireille N M VAN Poppel
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands; Institute of Sport Science, University of Graz, Graz, Austria
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The accuracy of haemoglobin A1c as a screening and diagnostic test for gestational diabetes: a systematic review and meta-analysis of test accuracy studies. Curr Opin Obstet Gynecol 2020; 32:322-334. [PMID: 32618746 DOI: 10.1097/gco.0000000000000648] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
PURPOSE OF REVIEW Gestational diabetes mellitus (GDM) is associated with adverse pregnancy complications. Accurate screening and diagnosis of gestational diabetes are critical to treatment, and in a pandemic scenario like coronavirus disease 2019 needing a simple test that minimises prolonged hospital stay. We undertook a meta-analysis on the screening and diagnostic accuracy of the haemoglobin A1c (HbA1c) test in women with and without risk factors for gestational diabetes. RECENT FINDINGS Unlike the oral glucose tolerance test, the HbA1c test is simple, quick and more acceptable. There is a growing body of evidence on the accuracy of HbA1c as a screening and diagnostic test for GDM. We searched Medline, Embase and Cochrane Library and selected relevant studies. Accuracy data for different thresholds within the final 23 included studies (16 921 women) were pooled using a multiple thresholds model. Summary accuracy indices were estimated by selecting an optimal threshold that optimises either sensitivity or specificity according to different scenarios. SUMMARY HbA1c is more useful as a specific test at a cut-off of 5.7% (39 mmol/mol) with a false positive rate of 10%, but should be supplemented by a more sensitive test to detect women with GDM.
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Nicolosi BF, Vernini JM, Costa RA, Magalhães CG, Rudge MVC, Corrente JE, Cecatti JG, Calderon IMP. Maternal factors associated with hyperglycemia in pregnancy and perinatal outcomes: a Brazilian reference center cohort study. Diabetol Metab Syndr 2020; 12:49. [PMID: 32518595 PMCID: PMC7275406 DOI: 10.1186/s13098-020-00556-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Accepted: 05/26/2020] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND While sufficient evidence supporting universal screening is not available, it is justifiable to look for specific risk factors for gestational diabetes mellitus (GDM) or hyperglycemia in pregnancy (HIP). The objective of this study is to identify independent risk factors for HIP and its adverse perinatal outcomes in a Brazilian public referral center. METHODS We included 569 singleton pregnant women who were split into three groups by glucose status: GDM (n = 207), mild gestational hyperglycemia (MGH; n = 133), and control (n = 229). Women who used corticosteroids or had a history of DM were excluded. HIP comprised both GDM and MGH, diagnosed by a 100 g- or 75 g-oral glucose tolerance test (OGTT) and a glucose profile at 24-28 weeks. Maternal characteristics were tested for their ability to predict HIP and its outcomes. Bivariate analysis (RR; 95% CI) was used to identify potential associations. Logistic regression (RRadj; 95% CI) was used to confirm the independent risk factors for HIP and its perinatal outcomes (p < 0.05). RESULTS Age ≥ 25 years [1.83, 1.12-2.99], prepregnancy BMI ≥ 25 kg/m2 [2.88, 1.89-4.39], family history of DM [2.12, 1.42-3.17] and multiparity [2.07, 1.27-3.37] were independent risk factors for HIP. Family history of DM [169, 1.16-2.16] and hypertension [2.00, 1.36-2.98] were independent risk factors for C-section. HbA1c ≥ 6.0% at birth was an independent risk factor for LGA [1.99, 1.05-3.80], macrosomia [2.43, 1.27-4.63], and birthweight Z-score > 2.0 [4.17, 1.57-11.10]. CONCLUSIONS MGH presents adverse pregnancy outcomes similar to those observed in the GDM group but distinct from those observed in the control (no diabetes) group. In our cohort, age ≥ 25 years, prepregnancy BMI ≥ 25 kg/m2, family history of DM, and multiparity were independent risk factors for HIP, supporting the use of selective screening for this condition. These results should be validated in populations with similar characteristics in Brazil or other low- and middle-income countries.
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Affiliation(s)
- Bianca F. Nicolosi
- Graduate Program of Gynecology, Obstetrics and Mastology, Botucatu Medical School, Unesp, Botucatu, SP Brazil
| | - Joice M. Vernini
- Graduate Program of Gynecology, Obstetrics and Mastology, Botucatu Medical School, Unesp, Botucatu, SP Brazil
| | - Roberto A. Costa
- Department of Obstetrics and Gynecology, Botucatu Medical School, Unesp, Botucatu, SP Brazil
| | - Claudia G. Magalhães
- Department of Obstetrics and Gynecology, Botucatu Medical School, Unesp, Botucatu, SP Brazil
| | - Marilza V. C. Rudge
- Graduate Program of Gynecology, Obstetrics and Mastology, Botucatu Medical School, Unesp, Botucatu, SP Brazil
- Department of Obstetrics and Gynecology, Botucatu Medical School, Unesp, Botucatu, SP Brazil
| | - José E. Corrente
- Department of Biostatistics, Botucatu Bioscience Institute (BBI), Unesp, Botucatu, SP Brazil
| | - Jose G. Cecatti
- Department of Obstetrics and Gynecology, University of Campinas (UNICAMP), School of Medical Sciences, Campinas, SP Brazil
| | - Iracema M. P. Calderon
- Graduate Program of Gynecology, Obstetrics and Mastology, Botucatu Medical School, Unesp, Botucatu, SP Brazil
- Department of Obstetrics and Gynecology, Botucatu Medical School, Unesp, Botucatu, SP Brazil
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Nomogram for prediction of gestational diabetes mellitus in urban, Chinese, pregnant women. BMC Pregnancy Childbirth 2020; 20:43. [PMID: 31959134 PMCID: PMC6971941 DOI: 10.1186/s12884-019-2703-y] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2019] [Accepted: 12/24/2019] [Indexed: 12/23/2022] Open
Abstract
Background This study sought to develop and validate a nomogram for prediction of gestational diabetes mellitus (GDM) in an urban, Chinese, antenatal population. Methods Age, pre-pregnancy body mass index (BMI), fasting plasma glucose (FPG) in the first trimester and diabetes in first degree relatives were incorporated as validated risk factors. A prediction model (nomogram) for GDM was developed using multiple logistic regression analysis, from a retrospective study conducted on 3956 women who underwent their first antenatal visit during 2015 in Shanghai. Performance of the nomogram was assessed through discrimination and calibration. We refined the predicting model with t-distributed stochastic neighbor embedding (t-SNE) to distinguish GDM from non-GDM. The results were validated using bootstrap resampling and a prospective cohort of 6572 women during 2016 at the same institution. Results Advanced age, pre-pregnancy BMI, high first-trimester, fasting, plasma glucose, and, a family history of diabetes were positively correlated with the development of GDM. This model had an area under the receiver operating characteristic (ROC) curve of 0.69 [95% CI:0.67–0.72, p < 0.0001]. The calibration curve for probability of GDM showed good consistency between nomogram prediction and actual observation. In the validation cohort, the ROC curve was 0.70 [95% CI: 0.68–0.72, p < 0.0001] and the calibration plot was well calibrated. In exploratory and validation cohorts, the distinct regions of GDM and non-GDM were distinctly separated in the t-SNE, generating transitional boundaries in the image by color difference. Decision curve analysis showed that the model had a positive net benefit at threshold between 0.05 and 0.78. Conclusions This study demonstrates the ability of our model to predict the development of GDM in women, during early stage of pregnancy.
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Punnose J, Malhotra RK, Sukhija K, Mathew A, Sharma A, Choudhary N. Glycated haemoglobin in the first trimester: A predictor of gestational diabetes mellitus in pregnant Asian Indian women. Diabetes Res Clin Pract 2020; 159:107953. [PMID: 31794807 DOI: 10.1016/j.diabres.2019.107953] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2019] [Revised: 11/19/2019] [Accepted: 11/27/2019] [Indexed: 02/07/2023]
Abstract
AIM To assess the efficacy of first trimester glycated hemoglobin (HbA1c-FT) in diagnosing or predicting gestational diabetes mellitus (GDM) in Asian Indian women. METHODS This retrospective cohort study involved 2275 women who underwent both HbA1c-FT estimation and GDM screening with a one-step 75 g oral glucose tolerance test. Receiver Operating Characteristic (ROC) curve statistics were applied to assess the discriminative ability of HbA1c-FT in GDM diagnosis. A multivariable logistic regression analysis after adjusting for plausible confounders was used to evaluate the independent effect of HbA1c-FT on GDM diagnosis. RESULTS The mean HbA1c-FT of GDM (n = 578) and non-GDM women (n = 1697) were 5.04 + 0.04% and 4.9 + 0.37%, respectively (p < 0.001). Compared to women with a HbA1c-FT < 5.2%, the adjusted odds ratio to develop GDM of women with an HbA1c-FT range of 5.2-5.5% and those >5.6% to develop GDM were 1.627 (p < 0.004) and 2.6 (p < 0.001), respectively. The area under the ROC curve to detect GDM was 0.606 (95% CI: 0.519-0.633 p < 0.001), but the sensitivity and specificity of the HbA1c-FT were not sufficient to diagnose, rule in or rule out GDM. CONCLUSIONS HbA1c-FT is an independent GDM predictor in Asian Indian women but lacks sufficient sensitivity or specificity for use as a diagnostic test.
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Affiliation(s)
- John Punnose
- Department of Endocrinology, St. Stephen's Hospital, Delhi, India.
| | | | - Komal Sukhija
- Department of Endocrinology, St. Stephen's Hospital, Delhi, India
| | - Anu Mathew
- Department of Endocrinology, St. Stephen's Hospital, Delhi, India
| | - Asha Sharma
- Department of Obstetrics and Gynaecology, St. Stephen's Hospital, Delhi, India
| | - Naimaa Choudhary
- Department of Obstetrics and Gynaecology, St. Stephen's Hospital, Delhi, India
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Abstract
PURPOSE OF REVIEW Currently, the diagnosis of gestational diabetes mellitus (GDM) lacks uniformity. Several controversies are still under debate, especially on the method of screening and diagnosis. This review focuses on recent literature and provides current evidence for the screening and diagnosis of GDM. RECENT FINDINGS Selective screening would miss a significant number of women with GDM. In contrast, universal screening has been shown to be cost-effective, compared with selective screening, and is recommended by many medical societies. For the diagnostic methods for GDM, most observational cohort studies reported that the one-step method is associated with improved pregnancy outcomes and is cost-saving or cost-effective, compared with the two-step method, although these findings should be confirmed in the upcoming randomized controlled trials which compare the performance of one-step and two-step methods. On the other hand, the methods of early screening or diagnosis of GDM are varied, and current evidence does not justify their use during early pregnancy. In conclusion, current evidence favors universal screening for GDM using the one-step method. Early screening for GDM is not favorably supported by the literature.
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Affiliation(s)
- Chun-Heng Kuo
- Department of Internal Medicine, Fu Jen Catholic University Hospital, Fu Jen Catholic University, New Taipei City, Taiwan
| | - Hung-Yuan Li
- Department of Internal Medicine, National Taiwan University Hospital, 7 Chung-Shan South Road, Taipei, Taiwan.
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Lorenzo-Almorós A, Hang T, Peiró C, Soriano-Guillén L, Egido J, Tuñón J, Lorenzo Ó. Predictive and diagnostic biomarkers for gestational diabetes and its associated metabolic and cardiovascular diseases. Cardiovasc Diabetol 2019; 18:140. [PMID: 31666083 PMCID: PMC6820966 DOI: 10.1186/s12933-019-0935-9] [Citation(s) in RCA: 92] [Impact Index Per Article: 18.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2019] [Accepted: 09/21/2019] [Indexed: 12/11/2022] Open
Abstract
Gestational diabetes mellitus (GDM) is defined as the presence of high blood glucose levels with the onset, or detected for the first time during pregnancy, as a result of increased insulin resistance. GDM may be induced by dysregulation of pancreatic β-cell function and/or by alteration of secreted gestational hormones and peptides related with glucose homeostasis. It may affect one out of five pregnancies, leading to perinatal morbidity and adverse neonatal outcomes, and high risk of chronic metabolic and cardiovascular injuries in both mother and offspring. Currently, GDM diagnosis is based on evaluation of glucose homeostasis at late stages of pregnancy, but increased age and body-weight, and familiar or previous occurrence of GDM, may conditionate this criteria. In addition, an earlier and more specific detection of GDM with associated metabolic and cardiovascular risk could improve GDM development and outcomes. In this sense, 1st-2nd trimester-released biomarkers found in maternal plasma including adipose tissue-derived factors such as adiponectin, visfatin, omentin-1, fatty acid-binding protein-4 and retinol binding-protein-4 have shown correlations with GDM development. Moreover, placenta-related factors such as sex hormone-binding globulin, afamin, fetuin-A, fibroblast growth factors-21/23, ficolin-3 and follistatin, or specific micro-RNAs may participate in GDM progression and be useful for its recognition. Finally, urine-excreted metabolites such as those related with serotonin system, non-polar amino-acids and ketone bodies, may complete a predictive or early-diagnostic panel of biomarkers for GDM.
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Affiliation(s)
- A Lorenzo-Almorós
- Renal, Vascular and Diabetes Laboratory, Instituto de Investigaciones Sanitarias-Fundación Jiménez Díaz, Universidad Autónoma de Madrid, Av. Reyes Católicos 2, 28040, Madrid, Spain
| | - T Hang
- Renal, Vascular and Diabetes Laboratory, Instituto de Investigaciones Sanitarias-Fundación Jiménez Díaz, Universidad Autónoma de Madrid, Av. Reyes Católicos 2, 28040, Madrid, Spain
| | - C Peiró
- Department of Pharmacology, School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain
| | - L Soriano-Guillén
- Department of Paediatrics, IIS-Fundación Jiménez Díaz, UAM, Madrid, Spain
| | - J Egido
- Renal, Vascular and Diabetes Laboratory, Instituto de Investigaciones Sanitarias-Fundación Jiménez Díaz, Universidad Autónoma de Madrid, Av. Reyes Católicos 2, 28040, Madrid, Spain
- Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM) Network, Madrid, Spain
| | - J Tuñón
- Department of Cardiology, Fundación Jiménez Díaz, Madrid, Spain
| | - Ó Lorenzo
- Renal, Vascular and Diabetes Laboratory, Instituto de Investigaciones Sanitarias-Fundación Jiménez Díaz, Universidad Autónoma de Madrid, Av. Reyes Católicos 2, 28040, Madrid, Spain.
- Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM) Network, Madrid, Spain.
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Chen L, Pocobelli G, Yu O, Shortreed SM, Osmundson SS, Fuller S, Wartko PD, Mcculloch D, Warwick S, Newton KM, Dublin S. Early Pregnancy Hemoglobin A1C and Pregnancy Outcomes: A Population-Based Study. Am J Perinatol 2019; 36:1045-1053. [PMID: 30500961 PMCID: PMC6612540 DOI: 10.1055/s-0038-1675619] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
OBJECTIVE Women with prediabetes are identified from screening for overt diabetes in early pregnancy, but the clinical significance of prediabetes in pregnancy is unclear. We examined whether prediabetes in early pregnancy was associated with risks of adverse outcomes. STUDY DESIGN We conducted a retrospective cohort study of pregnant women enrolled in Kaiser Permanente Washington from 2011 to 2014. Early pregnancy hemoglobin A1C (A1C) values, covariates, and outcomes were ascertained from electronic medical records and state birth certificates. Women with prediabetes (A1C of 5.7-6.4%) were compared with those with normal A1C levels (<5.7%) for risk of gestational diabetes mellitus (GDM) and other outcomes including preeclampsia, primary cesarean delivery, induction of labor, large/small for gestational age, preterm birth, and macrosomia. We used modified Poisson's regression to calculate adjusted relative risks (RRs) and 95% confidence intervals (CIs). RESULTS Of 7,020 women, 239 (3.4%) had prediabetes. GDM developed in 48% of prediabetic women compared with 11% of women with normal A1C levels (adjusted RR: 2.8, 95% CI: 2.4-3.3). Prediabetes was not associated with all other adverse maternal and neonatal outcomes. CONCLUSION Prediabetes in early pregnancy is a risk factor for GDM. Future research is needed to elucidate whether early intervention may reduce this risk.
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Affiliation(s)
- Lu Chen
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington
| | - Gaia Pocobelli
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington
| | - Onchee Yu
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington
| | - Susan M. Shortreed
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington,University of Washington, Seattle, Washington
| | | | - Sharon Fuller
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington
| | - Paige D. Wartko
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington,University of Washington, Seattle, Washington
| | | | | | | | - Sascha Dublin
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington,University of Washington, Seattle, Washington
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Universal early pregnancy glycosylated hemoglobin A1c as an adjunct to Carpenter-Coustan screening: an observational cohort study. Am J Obstet Gynecol MFM 2019; 1:24-32. [PMID: 33319754 DOI: 10.1016/j.ajogmf.2019.02.003] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2018] [Revised: 02/22/2019] [Accepted: 02/25/2019] [Indexed: 11/22/2022]
Abstract
BACKGROUND Early pregnancy screening for preexisting and gestational diabetes mellitus is widely recommended, but the details of screening (eg, targeted vs universal screening, criteria to identify women requiring early screening, specific screening strategy) remain controversial and poorly defined. OBJECTIVE The objective of the study was to determine the utility of universal early glycosylated hemoglobin A1c obtained at the first prenatal visit in diagnosing preexisting diabetes and high-risk gestational diabetes mellitus (early glycosylated hemoglobin A1c, 5.9-6.4%). We further sought to determine whether early glycosylated hemoglobin A1c could replace routine Carpenter-Coustan testing and to determine the correlation between early glycosylated hemoglobin A1c and maternal and neonatal morbidity and mortality. STUDY DESIGN This was an observational cohort study of women delivering from May 2016 to July 2017 (14 months) at a single county teaching hospital. Multiple gestations and second deliveries during the study interval were excluded. Women with an early glycosylated hemoglobin A1c of ≥ 6.5% were diagnosed with preexisting diabetes. Women with early glycosylated hemoglobin A1c of 5.9-6.4% underwent immediate 3 hour glucose tolerance testing, which if abnormal diagnosed gestational diabetes mellitus and if normal was repeated at 24-28 weeks. Women with early glycosylated hemoglobin A1c <5.9% underwent routine Carpenter-Coustan screening at 24-28 weeks. Receiver-operator curve methodology was used to evaluate the diagnostic properties of early glycosylated hemoglobin A1c for gestational diabetes mellitus. The correlation between early glycosylated hemoglobin A1c and composite measures of maternal and neonatal morbidity and mortality were calculated. RESULTS A total of 4144 deliveries remained after exclusions. Median gestational age at early glycosylated hemoglobin A1c draw was 9 weeks (interquartile range, 7-12). Early glycosylated hemoglobin A1c diagnosed 26 women with preexisting diabetes (0.8% of all patients, 37.7% of all preexisting diabetes). A total of 41.9% of 93 women with early glycosylated hemoglobin A1c of 5.9-6.4% had an early diagnosis of gestational diabetes mellitus, accounting for 25.8% of total gestational diabetes mellitus cases. Based on receiver-operator curve analysis, no early glycosylated hemoglobin A1c cutoff had sufficient sensitivity and positive predictive value to diagnose gestational diabetes mellitus. An early glycosylated hemoglobin A1c ≤5.0% (29.2% of patients) had a 98% negative predictive value for gestational diabetes mellitus, suggesting women with an early glycosylated hemoglobin A1c ≤5.0% in a similar-risk population could potentially forego further testing. The per-patient incremental cost for the glycosylated hemoglobin A1c was $3.72. CONCLUSION Early glycosylated hemoglobin A1c correlates with maternal and neonatal morbidity and mortality but cannot entirely replace routine Carpenter-Coustan testing because of poor sensitivity. Rather, its use as an adjunct to Carpenter-Coustan testing, with reflex to early 3 hour glucose tolerance testing for those with values 5.9-6.4%, is an inexpensive and simple method that identifies women with preexisting diabetes and high-risk gestational diabetes mellitus early in pregnancy, allowing early intervention and the prospect of improved outcomes.
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Sakurai K, Eguchi A, Watanabe M, Yamamoto M, Ishikawa K, Mori C. Exploration of predictive metabolic factors for gestational diabetes mellitus in Japanese women using metabolomic analysis. J Diabetes Investig 2019; 10:513-520. [PMID: 29956893 PMCID: PMC6400174 DOI: 10.1111/jdi.12887] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2018] [Revised: 06/21/2018] [Accepted: 06/26/2018] [Indexed: 12/12/2022] Open
Abstract
AIMS/INTRODUCTION We aimed to explore novel predictive markers for gestational diabetes mellitus using metabolomic analysis in pregnant Japanese women. MATERIALS AND METHODS We carried out a case-control study with a cohort of participants enrolled during the first or early second trimester in the Center of Chiba Unit of the Japan Environment and Children's Study. Participants were classified as either gestational diabetes mellitus cases or matched controls based on age, body mass index and parity. Metabolite levels of their serum and urine obtained randomly before the diagnosis of gestational diabetes mellitus were analyzed using hydrophilic interaction chromatography tandem mass spectrometry. Orthogonal projections to latent structures discriminant analysis was carried out to investigate metabolome profiles for the different groups. Metabolites with a variable importance in projection value of >1.5 were identified as potential markers. RESULTS In total, 242 participants were enrolled in the study, of which 121 were cases. The R2X, R2Y and Q2 parameters for the discrimination ability of the resulting models were 0.388, 0.492 and 0.45 for serum, and 0.454, 0.674 and 0.483 for urine, respectively. We finally identified three metabolites in serum and 20 in urine as potential biomarkers. Glutamine in serum and ethanolamine and 1,3-diphosphoglycerate in urine showed >0.8 area under the receiver operating characteristic curves. CONCLUSIONS The present study identified serum and urine metabolites that are possible predictive markers of subsequent gestational diabetes mellitus in Japanese women. Further studies are required to elucidate their efficacy.
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Affiliation(s)
- Kenichi Sakurai
- Center for Preventive Medical SciencesChiba UniversityChibaJapan
| | - Akifumi Eguchi
- Center for Preventive Medical SciencesChiba UniversityChibaJapan
| | | | - Midori Yamamoto
- Center for Preventive Medical SciencesChiba UniversityChibaJapan
| | - Ko Ishikawa
- Department of Clinical Cell Biology and MedicineGraduate School of MedicineChiba UniversityChibaJapan
| | - Chisato Mori
- Center for Preventive Medical SciencesChiba UniversityChibaJapan
- Department of Bioenvironmental MedicineGraduate School of MedicineChiba UniversityChibaJapan
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Siricharoenthai P, Phupong V. Diagnostic accuracy of HbA1c in detecting gestational diabetes mellitus. J Matern Fetal Neonatal Med 2019; 33:3497-3500. [PMID: 30691324 DOI: 10.1080/14767058.2019.1576169] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
Objective: To investigate the diagnostic value of glycated hemoglobin A1c (HbA1c) in detecting gestational diabetes mellitus (GDM).Methods: Pregnant women at gestational age 24 weeks or more, who had abnormal GDM screening test, were enrolled in this prospective study. A HbA1c assessment was performed at the same time of 3-h 100 g oral glucose tolerance test (OGTT). GDM was diagnosed according to the National Diabetes Data Group for a 3-h 100 g OGTT. Sensitivity and specificity of HbA1c were evaluated and pregnancy outcome were recorded in aspects of gestational age at delivery, preeclampsia, primary cesarean section rate, birth weight, fetal macrosomia, and neonatal intensive care unit admission.Results: One hundred fourteen women were enrolled. There were 35 women with GDM using NDDG criteria. The area under the curve of the receiver operating characteristic curve for HbA1c detection of GDM was 0.725 (95% confidence interval 0.621-0.829). Cut-off value of HbA1c was 5.8%. Sensitivity, specificity, positive predictive value, negative predictive value, and accuracy were 17.1, 100, 100, 73.2, and 74.6%, respectively. Pregnancy outcome in both groups in this study has no statistical significance.Conclusions: HbA1c values cannot replace OGTT for the diagnosis of GDM. However, HbA1c might be a useful tool to reduce the number of OGTT, associated costs and patient inconvenience.
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Affiliation(s)
| | - Vorapong Phupong
- Department of Obstetrics and Gynecology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
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Poo ZX, Wright A, Ruochen D, Singh R. Optimal first trimester HbA1c threshold to identify Singaporean women at risk of gestational diabetes mellitus and adverse pregnancy outcomes: A pilot study. Obstet Med 2018; 12:79-84. [PMID: 31217812 DOI: 10.1177/1753495x18795984] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2018] [Accepted: 07/27/2018] [Indexed: 01/26/2023] Open
Abstract
This pilot study examined the use of early HbA1c in screening for gestational diabetes mellitus and adverse pregnancy outcomes in Singapore. One hundred and fifty-one pregnant women with a gestational age of under 14 weeks had an HbA1c test measured with their antenatal bloods prior to a second trimester oral glucose tolerance test. Patient characteristics and pregnancy outcome data were collected. Gestational diabetes mellitus prevalence was 11%. A receiver operating characteristic curve showed an HbA1c level of 5.2% (33 mmol/mol), had an 82% sensitivity, 72% specificity, 97% negative predictive value and 27% positive predictive value to predict gestational diabetes mellitus. Women with HbA1c of 5.2% (33 mmol/mol) or over 5.2% (33 mmol/mol) were older, had higher BMI and were less likely to be Chinese than those with HbA1c less than 5.2% (33 mmol/mol). There was no difference in pregnancy outcomes. Early HbA1c less than 5.2% (33 mmol/mol) may be useful to exclude low-risk Singaporean women from further testing, while those with HbA1c of 5.2% (33 mmol/mol) or greater would still need a oral glucose tolerance test between 24 and 28 weeks' gestation.
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Affiliation(s)
- Zi X Poo
- KK Women's and Children's Hospital, Singapore, Singapore
| | - Ann Wright
- KK Women's and Children's Hospital, Singapore, Singapore
| | - Du Ruochen
- KK Women's and Children's Hospital, Singapore, Singapore
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Campbell L, Pepper T, Shipman K. HbA1c: a review of non-glycaemic variables. J Clin Pathol 2018; 72:12-19. [PMID: 30361394 DOI: 10.1136/jclinpath-2017-204755] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2017] [Revised: 09/23/2018] [Accepted: 10/02/2018] [Indexed: 12/28/2022]
Abstract
Identification of the correlation between HbA1c and diabetic complications has yielded one of the most clinically useful biomarkers. HbA1c has revolutionised the diagnosis and monitoring of diabetes mellitus. However, with widespread adoption of HbA1c has come increasing recognition that non-glycaemic variables can also affect HbA1c, with varying clinical significance. Furthermore, the identification of a discrepancy between predicted and measured HbA1c in some individuals, the so-called 'glycation gap', may be clinically significant. We aimed to review the current body of evidence relating to non-glycaemic variables to quantify any significance and provide subsequent suggestions. A PubMed-based literature search was performed, using a variety of search terms, to retrieve articles detailing the non-glycaemic variables suggested to affect HbA1c. Articles were reviewed to assess the relevance of any findings in clinical practice and where possible guidance is given. A range of non-glycaemic variables have statistically significant effects on HbA1c. While the clinical implications are generally irrelevant, a small number of non-glycaemic variables do have clinically significant effects and alternative biomarkers should be considered instead of, or in addition to, HbA1c. There are a small number of non-glycaemic variables which have a clinically significant effect on HbA1c, However, the vast majority of non-glycaemic variables have no clinical relevance. While clinicians should have an awareness of those non-glycaemic variables with clinical significance, in the vast majority of clinical scenarios HbA1c should continue to be used with confidence.
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Affiliation(s)
- Leon Campbell
- Department of Medicine, Western Sussex Hospitals NHS Foundation Trust, Worthing, UK
| | - Tessa Pepper
- Department of Medicine, Western Sussex Hospitals NHS Foundation Trust, Worthing, UK
| | - Kate Shipman
- Department of Chemical Pathology, Western Sussex Hospitals NHS Foundation Trust, Worthing, England
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Peter R, Bright D, Cheung WY, Luzio SD, Dunseath GJ. Proinsulin in the identification and risk stratification of gestational diabetes mellitus: study protocol for a prospective, longitudinal cohort study. BMJ Open 2018; 8:e022571. [PMID: 30158232 PMCID: PMC6119441 DOI: 10.1136/bmjopen-2018-022571] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
INTRODUCTION Gestational diabetes mellitus (GDM) is a common metabolic disorder occurring in up to 10% of pregnancies in the western world. Most women with GDM are asymptomatic; therefore, it is important to screen, diagnose and manage the condition as it is associated with an increased risk of maternal and perinatal complications. Diagnosis of GDM is made in the late second trimester or early third trimester because accurate diagnosis or risk stratification in the first trimester is still lacking. An increase in serum proinsulin may be seen earlier in pregnancy and before a change in glycaemic control can be identified. This study will aim to establish if fasting proinsulin concentrations at 16-18 weeks gestation will help to identify or risk stratify high-risk pregnant women with GDM. METHODS AND ANALYSIS This is a prospective, longitudinal cohort study. Two oral glucose tolerance tests will be carried out at 16-18 and 24-28 weeks gestation in 200 pregnant women with at least one risk factor for GDM (body mass index>30 kg/m2, previous macrosomic baby (>4.5 kg), previous gestational diabetes, first degree relative with type 2 diabetes mellitus) recruited from antenatal clinics. Blood samples will be taken fasting and at 30 min, 1 and 2 hours following the 75 g glucose load. In addition, a fasting blood sample will be taken 6-weeks post delivery. All samples will be analysed for glucose, insulin, C peptide and proinsulin. Recruitment began in November 2017. Optimal cut-off points for proinsulin to diagnose gestational diabetes according to National Institute for Health and Care Excellence (2015) criteria will be established by the receiver operating characteristic plot and sensitivity and specificity will be calculated to assess the diagnostic accuracy of proinsulin at 16-18 weeks gestation. ETHICS AND DISSEMINATION This study received ethical approval from the Wales Research Ethics Committee (Panel 6) (Ref. 17/WA/0194). Data will be presented at international conferences and published in peer-reviewed journals. TRIAL REGISTRATION NUMBER ISRCTN16416602; Pre-results.
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Affiliation(s)
- Rajesh Peter
- Diabetes Research Group, Swansea University, Swansea, UK
| | - Dominic Bright
- Diabetes Research Group, Swansea University, Swansea, UK
| | - Wai-Yee Cheung
- Diabetes Research Group, Swansea University, Swansea, UK
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Hinkle SN, Tsai MY, Rawal S, Albert PS, Zhang C. HbA 1c Measured in the First Trimester of Pregnancy and the Association with Gestational Diabetes. Sci Rep 2018; 8:12249. [PMID: 30116010 PMCID: PMC6095876 DOI: 10.1038/s41598-018-30833-8] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2018] [Accepted: 07/24/2018] [Indexed: 11/29/2022] Open
Abstract
We aimed to examine the prospective association between first trimester HbA1c and gestational diabetes (GDM) and explore the utility of HbA1c for prediction of GDM. We used data from a case-control study within the prospective NICHD Fetal Growth Studies-Singleton Cohort (2009-2013), which enrolled 2,802 women at 12 U.S. clinical centers. HbA1c was measured in GDM cases (n = 107) and matched controls (n = 214) targeted at 8-13, 16-22, 24-29, and 34-37 gestational weeks. We excluded women with HbA1c ≥ 6.5% (48 mmol/mol) at enrollment (n = 3) or who had a hemoglobin variant (n = 6). At 8-13 gestational weeks, women who later developed GDM had significantly higher HbA1c (5.3[standard deviation 0.3]%; 34[4]mmol/mol) than women without GDM (5.1[0.3]%; 32[3] mmol/mol) (P ≤ 0.001); this difference remained significant throughout pregnancy. Each 0.1% (1 mmol/mol) HbA1c increase at 8-13 weeks was associated with an adjusted 22% increased GDM risk (95% confidence interval 1.09-1.36). First trimester HbA1c significantly improved GDM prediction over conventional risk factors (AUC 0.59 vs 0.65; P = 0.04). In conclusion, women who develop GDM may have impaired glucose homeostasis early in or prior to pregnancy, as indicated by their elevated first trimester HbA1c. First trimester HbA1c may aid in early identification of at risk women.
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Affiliation(s)
- Stefanie N Hinkle
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA.
| | - Michael Y Tsai
- Department of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis, MN, USA
| | - Shristi Rawal
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA
- Department of Nutritional Sciences, School of Health Professions, Rutgers University, Newark, NJ, USA
| | - Paul S Albert
- Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Cuilin Zhang
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA
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Wu K, Cheng Y, Li T, Ma Z, Liu J, Zhang Q, Cheng H. The utility of HbA1c combined with haematocrit for early screening of gestational diabetes mellitus. Diabetol Metab Syndr 2018. [PMID: 29541163 PMCID: PMC5844109 DOI: 10.1186/s13098-018-0314-9] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
AIMS To evaluate the utility of glycated haemoglobin A1c (HbA1c) alone and in combination with haematocrit (HCT) for screening gestational diabetes mellitus (GDM) between 12-16 gestational weeks. METHODS This prospective study was carried out in the Obstetrics and Gynaecology Hospital of Fudan University from November 2014 to February 2015. In total, 690 pregnant women between 20 and 35 years old were included in this study. All subjects received a routine blood examination for HbA1c and HCT at 12-16 gestational weeks (gw) and a 75-g oral glucose tolerance test at 24-28 gw. Threshold values for the diagnosis of GDM were a plasma glucose concentration of 5.1 mmol/L after fasting, 10.0 mmol/L at 60 min, and 8.5 mmol/L at 120 min. Receiver operating characteristic curves were used to evaluate the diagnostic performance of HbA1c with or without HCT. RESULTS One hundred seven women were diagnosis with GDM at 24-28 gw. An HbA1c cutoff value < 4.55% at 12-16 gw showed adequate sensitivity to exclude GDM (85.0%) but low specificity (17.3%), while an HbA1c cutoff value ≥ 5.25% presented adequate specificity (96.6%) but low sensitivity (13.3%) in diagnosing GDM. The area under the receiver operating characteristic curve for HbA1c (12-16 gw) detection of GDM was 0.563 (95% confidence interval [CI], 0.50-0.625). When combined HbA1c with HCT ( > 38.8%) for the screening of GDM, the area under the receiver operating characteristic curve was 0.604 (95% [CI] 0.509, 0.701). CONCLUSIONS Whether the adoption of HbA1c as a screening test for GDM would benefit pregnant women remains to be determined. However, combining HbA1c with HCT for the screening of GDM may be a useful tool to predict GDM.
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Affiliation(s)
- Kui Wu
- Obstetrics and Gynecology Hospital, Fudan University, 128 Shenyang Road, Shanghai, 200090 People’s Republic of China
| | - Yan Cheng
- Obstetrics and Gynecology Hospital, Fudan University, 128 Shenyang Road, Shanghai, 200090 People’s Republic of China
| | - Tingting Li
- Obstetrics and Gynecology Hospital, Fudan University, 128 Shenyang Road, Shanghai, 200090 People’s Republic of China
| | - Ziwen Ma
- Obstetrics and Gynecology Hospital, Fudan University, 128 Shenyang Road, Shanghai, 200090 People’s Republic of China
| | - Junxiu Liu
- Obstetrics and Gynecology Hospital, Fudan University, 128 Shenyang Road, Shanghai, 200090 People’s Republic of China
- Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases, Shanghai, 200011 China
| | - Qingying Zhang
- Obstetrics and Gynecology Hospital, Fudan University, 128 Shenyang Road, Shanghai, 200090 People’s Republic of China
| | - Haidong Cheng
- Obstetrics and Gynecology Hospital, Fudan University, 128 Shenyang Road, Shanghai, 200090 People’s Republic of China
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