1
|
Huhn EA, Göbl CS, Fischer T, Todesco Bernasconi M, Kreft M, Kunze M, Vogt DR, Dölzlmüller E, Jaksch-Bogensperger H, Heldstab S, Eppel W, Husslein P, Ochsenbein Kölble N, Richter A, Bäz E, Winzeler B, Hoesli I. Sensitivity, specificity, and diagnostic accuracy of WHO 2013 criteria for diagnosis of gestational diabetes mellitus in low risk early pregnancies: international, prospective, multicentre cohort study. BMJ MEDICINE 2023; 2:e000330. [PMID: 37720695 PMCID: PMC10503330 DOI: 10.1136/bmjmed-2022-000330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Accepted: 07/17/2023] [Indexed: 09/19/2023]
Abstract
Objective To evaluate the predictability of gestational diabetes mellitus wth a 75 g oral glucose tolerance test (OGTT) in early pregnancy, based on the 2013 criteria of the World Health Organization, and to test newly proposed cut-off values. Design International, prospective, multicentre cohort study. Setting Six university or cantonal departments in Austria, Germany, and Switzerland, from 1 May 2016 to 31 January 2019. Participants Low risk cohort of 829 participants aged 18-45 years with singleton pregnancies attending first trimester screening and consenting to have an early 75 g OGTT at 12-15 weeks of gestation. Participants and healthcare providers were blinded to the results. Main outcome measures Fasting, one hour, and two hour plasma glucose concentrations after an early 75 g OGTT (12-15 weeks of gestation) and a late 75 g OGTT (24-28 weeks of gestation). Results Of 636 participants, 74 (12%) developed gestational diabetes mellitus, according to World Health Organization 2013 criteria, at 24-28 weeks of gestation. Applying WHO 2013 criteria to the early OGTT with at least one abnormal value gave a low sensitivity of 0.35 (95% confidence interval 0.24 to 0.47), high specificity of 0.96 (0.95 to 0.98), positive predictive value of 0.57 (0.41 to 0.71), negative predictive value of 0.92 (0.89 to 0.94), positive likelihood ratio of 10.46 (6.21 to 17.63), negative likelihood ratio of 0.65 (0.55 to 0.78), and diagnostic odds ratio of 15.98 (8.38 to 30.47). Lowering the postload glucose values (75 g OGTT cut-off values of 5.1, 8.9, and 7.8 mmol/L) improved the detection rate (53%, 95% confidence interval 41% to 64%) and negative predictive value (0.94, 0.91 to 0.95), but decreased the specificity (0.91, 0.88 to 0.93) and positive predictive value (0.42, 0.32 to 0.53) at a false positive rate of 9% (positive likelihood ratio 5.59, 4.0 to 7.81; negative likelihood ratio 0.64, 0.52 to 0.77; and diagnostic odds ratio 10.07, 6.26 to 18.31). Conclusions The results of this prospective low risk cohort study indicated that the 75 g OGTT as a screening tool in early pregnancy is not sensitive enough when applying WHO 2013 criteria. Postload glucose values were higher in early pregnancy complicated by diabetes in pregnancy. Lowering the postload cut-off values identified a high risk group for later development of gestational diabetes mellitus or those who might benefit from earlier treatment. Results from randomised controlled trials showing a beneficial effect of early intervention are unclear. Trial registration ClinicalTrials.gov NCT02035059.
Collapse
Affiliation(s)
- Evelyn A Huhn
- Department of Feto-Maternal Medicine and Obstetrics, University Hospital Basel, Basel, Switzerland
- Department of Prenatal Diangosis and Obstetrics, University Hospital Hamburg-Eppendorf, Hamburg, Germany
| | - Christian S Göbl
- Department of Obstetrics and Gynaecology, Medical University of Vienna, Vienna, Austria
| | - Thorsten Fischer
- Department of Obstetrics and Gynaecology, Salzburger Landeskrankenhaus, Paracelsus Medical University, Salzburg, Austria
| | | | - Martina Kreft
- Department of Obstetrics and Gynaecology, University Hospital Zurich, Zurich, Switzerland
| | - Mirjam Kunze
- Department of Obstetrics and Gynaecology, University Hospital Freiburg, Freiburg, Germany
| | - Deborah R Vogt
- Department of Clinical Research, University of Basel, Basel, Switzerland
- Department of Clinical Research, University Hospital Basel, Basel, Switzerland
| | - Eva Dölzlmüller
- Department of Obstetrics and Gynaecology, Salzburger Landeskrankenhaus, Paracelsus Medical University, Salzburg, Austria
| | - Heidi Jaksch-Bogensperger
- Department of Obstetrics and Gynaecology, Salzburger Landeskrankenhaus, Paracelsus Medical University, Salzburg, Austria
| | - Sandra Heldstab
- Department of Obstetrics and Gynaecology, Cantonal Hospital Aarau, Aarau, Switzerland
| | - Wolfgang Eppel
- Department of Obstetrics and Gynaecology, Medical University of Vienna, Vienna, Austria
| | - Peter Husslein
- Department of Obstetrics and Gynaecology, Medical University of Vienna, Vienna, Austria
| | | | - Anne Richter
- Department of Obstetrics and Gynaecology, University Hospital Zurich, Zurich, Switzerland
| | - Elke Bäz
- Department of Obstetrics and Gynaecology, University Hospital Freiburg, Freiburg, Germany
| | - Bettina Winzeler
- Department of Endocrinology and Diabetology, University Hospital Basel, Basel, Switzerland
| | - Irene Hoesli
- Department of Obstetrics and Gynaecology, University Hospital Basel, Basel, Switzerland
| |
Collapse
|
2
|
Bogdanet D, Castillo MT, Doheny H, Dervan L, Luque-Fernandez MA, Halperin J, O'Shea PM, Dunne FP. The utility of plasma glycated CD59 in predicting postpartum glucose intolerance: A prospective study of women diagnosed with GDM during a period of universal GDM screening. Diabet Med 2023; 40:e15121. [PMID: 37078256 DOI: 10.1111/dme.15121] [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: 07/31/2022] [Revised: 04/12/2023] [Accepted: 04/19/2023] [Indexed: 04/21/2023]
Abstract
AIMS Gestational diabetes (GDM) is associated with the development of postpartum (PP) glucose intolerance. Plasma glycated CD59 (pGCD59) is an emerging biomarker for the detection of hyperglycaemia. The aim of this study was to assess the ability of PP pGCD59 to predict the development of PP GI as defined by the 2 h 75 g OGTT using the ADA criteria, in a cohort of women diagnosed with prior GDM in the index pregnancy using the 2 h 75 g OGTT at 24-28 weeks of gestation according to the World Health Organization (WHO) 2013 criteria. METHODS Of the 2017 pregnant women recruited prospectively 140 women with gestational diabetes had samples for pGCD59 taken PP at the time of the OGTT. The ability of pGCD59 to predict the results of the PP OGTT was assessed using nonparametric receiver operating characteristic (ROC) curves. RESULTS Women with PP glucose intolerance had significantly higher PP pGCD59 levels compared to women with normal glucose tolerance PP (3.8 vs. 2.7 SPU). PP pGCD59 identified women who developed glucose intolerance PP with an AUC of 0.80 (95% CI: 0.70-0.91). A PP pGCD59 cut-off value of 1.9 SPU generated a sensitivity of 100% (95% CI: 83.9-100), specificity of 16.9% (95% CI: 9.8-26.3), positive predictive value of 22.1% (95% CI: 21.0-22.6), and negative predictive value of 100% (95% CI: 87.4-100). PP fasting plasma glucose generated an AUC of 0.96 (95% CI: 0.89-0.99) for the identification of PP glucose intolerance. CONCLUSION Our study found that PP pGCD9 may be a promising biomarker to identify women not requiring PP glucose intolerance screening using the traditional OGTT. While the diagnostic accuracy of pGCD59 is good, fasting plasma glucose remains a better test for the identification of PP glucose intolerance.
Collapse
Affiliation(s)
- Delia Bogdanet
- College of Medicine, Nursing and Health Sciences, School of Medicine, National University of Ireland, Galway, Ireland
| | - Michelle T Castillo
- Divisions of Haematology, Brigham & Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Helen Doheny
- Department of Clinical Biochemistry, Saolta University Health Care Group (SUHCG), Galway University Hospitals, Galway, Ireland
| | - Louise Dervan
- College of Medicine, Nursing and Health Sciences, School of Medicine, National University of Ireland, Galway, Ireland
| | - Miguel A Luque-Fernandez
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK
| | - Jose Halperin
- Divisions of Haematology, Brigham & Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Paula M O'Shea
- College of Medicine, Nursing and Health Sciences, School of Medicine, National University of Ireland, Galway, Ireland
- Department of Clinical Biochemistry, Saolta University Health Care Group (SUHCG), Galway University Hospitals, Galway, Ireland
| | - Fidelma P Dunne
- College of Medicine, Nursing and Health Sciences, School of Medicine, National University of Ireland, Galway, Ireland
| |
Collapse
|
3
|
Bogdanet D, Castillo MT, Doheny H, Dervan L, Luque-Fernandez MA, Halperin JA, O’Shea PM, Dunne FP. The ability of pGCD59 to predict adverse pregnancy outcomes: a prospective study of non-diabetic pregnant women in Ireland. Acta Diabetol 2023; 60:211-223. [PMID: 36309618 PMCID: PMC9617525 DOI: 10.1007/s00592-022-01983-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Accepted: 09/27/2022] [Indexed: 01/24/2023]
Abstract
AIM Even though most pregnancies are uneventful, occasionally complications do occur. Gestational diabetes is linked to an increased risk of adverse pregnancy outcomes. Early identification of women at risk of experiencing adverse outcomes, ideally through a single blood test, would facilitate early intervention. Plasma glycated CD59 (pGCD59) is an emerging biomarker which has shown promise in identifying hyperglycaemia during pregnancy and has been associated with the risk of delivering an LGA infant. The aim of this study was to explore the ability of the first- and second-trimester pGCD59 to predict adverse pregnancy outcomes. METHODS This was a prospective study of 378 pregnant women. Samples for pGCD59 were taken at the first antenatal visit and at the time of the 2 h 75 g OGTT (24-28 weeks of gestation). Adjusted receiver operating characteristic curves were used to evaluate the ability of pGCD59 to predict maternal and neonatal outcomes. RESULTS First-trimester pGCD59 levels were higher in women with gestational diabetes who delivered a macrosomic infant (4.2 ± 0.7 vs. 3.5 ± 1.0 SPU, p < 0.01) or an LGA infant (4.3 ± 0.3 vs. 3.6 ± 1.0 SPU, p = 0.01) compared to women with GDM that did not experience these outcomes. Second-trimester pGCD59 levels were higher in women that developed polyhydramnios (2.9 ± 0.4 vs. 2.5 ± 1.1 SPU, p = 0.03). First- and second-trimester pGCD59 predicted pregnancy-induced hypertension with good accuracy (AUC:0.85, 95%CI:0.78-0.91; AUC: 0.80, 95%CI: 0.73-0.88, respectively) and neonatal hypoglycaemia with fair to good accuracy (AUC:0.77, 95%CI: 0.54-0.99, AUC:0.81, 95%CI:0.62-0.99). CONCLUSIONS This study has shown that pGCD59 has the potential to predict adverse pregnancy outcomes. Prospective studies with a larger number of cases are necessary to fully explore and validate the potential of this emerging biomarker in predicting adverse pregnancy outcomes.
Collapse
Affiliation(s)
- Delia Bogdanet
- College of Medicine, Nursing and Health Sciences, School of Medicine, National University of Ireland, Galway, Ireland
| | - Michelle Toth Castillo
- Divisions of Haematology, Brigham & Women’s Hospital, Harvard Medical School, Boston, USA
| | - Helen Doheny
- Department of Clinical Biochemistry, Saolta University Health Care Group (SUHCG), Galway University Hospitals, Galway, Ireland
| | - Louise Dervan
- College of Medicine, Nursing and Health Sciences, School of Medicine, National University of Ireland, Galway, Ireland
| | - Miguel Angel Luque-Fernandez
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA USA
- Department of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK
| | - Jose A. Halperin
- Divisions of Haematology, Brigham & Women’s Hospital, Harvard Medical School, Boston, USA
| | - Paula M. O’Shea
- College of Medicine, Nursing and Health Sciences, School of Medicine, National University of Ireland, Galway, Ireland
- Department of Clinical Biochemistry, Saolta University Health Care Group (SUHCG), Galway University Hospitals, Galway, Ireland
| | - Fidelma P. Dunne
- College of Medicine, Nursing and Health Sciences, School of Medicine, National University of Ireland, Galway, Ireland
| |
Collapse
|
4
|
Smith-Jackson K, Harrison RA. Alternative pathway activation in pregnancy, a measured amount "complements" a successful pregnancy, too much results in adverse events. Immunol Rev 2023; 313:298-319. [PMID: 36377667 PMCID: PMC10100418 DOI: 10.1111/imr.13169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
During pregnancy, the maternal host must adapt in order to enable growth of the fetus. These changes affect all organ systems and are designed both to protect the fetus and to minimize risk to the mother. One of the most prominent adaptations involves the immune system. The semi-allogenic fetoplacental unit has non-self components and must be protected against attack from the host. This requires both attenuation of adaptive immunity and protection from innate immune defense mechanisms. One of the key innate immune players is complement, and it is important that the fetoplacental unit is not identified as non-self and subjected to complement attack. Adaptation of the complement response must, however, be managed in such a way that maternal protection against infection is not compromised. As the complement system also plays a significant facilitating role in many of the stages of a normal pregnancy, it is also important that any necessary adaptation to accommodate the semi-allogenic aspects of the fetoplacental unit does not compromise this. In this review, both the physiological role of the alternative pathway of complement in facilitating a normal pregnancy, and its detrimental participation in pregnancy-specific disorders, are discussed.
Collapse
Affiliation(s)
- Kate Smith-Jackson
- Complement Therapeutics Research Group, Translational and Clinical Research Institute, Faculty of Medical Science, Newcastle University, Newcastle-upon-Tyne, UK.,The National Renal Complement Therapeutics Centre (NRCTC), Newcastle-upon-Tyne Hospitals NHS Foundation Trust, Newcastle-upon-Tyne, UK
| | | |
Collapse
|
5
|
Groenendijk W, Bogdanet D, Dervan L, Finn O, Islam MN, Doheny H, Griffin TP, Blake L, Lyons M, Kilcooley M, Krawczyk J, Gilmore R, Griffin DG, Gaffney G, Dunne FP, O'Shea PM. Reference intervals for clinical biochemistry and haematology tests during normal pregnancy. Ann Clin Biochem 2022; 59:433-446. [PMID: 36085563 DOI: 10.1177/00045632221128686] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
BACKGROUND Pregnancy induces physiological changes which affect biochemical and haematological parameters. As the significance of laboratory test results change throughout pregnancy, the reference interval (RI) or key result interpretive guide should be specific to pregnancy. This study sought to establish trimester-specific-RIs for routine biochemical and haematological tests in healthy white European women with singleton pregnancies with comparison to RIs for non-pregnant European adults. METHODS A retrospective analysis of a prospective longitudinal single-centre study of healthy pregnant women conducted between November 2018 and December 2020 in a tertiary academic hospital with approximately 3000 births annually. Inclusion criteria: signed informed consent, age ≥18 years, white European, body mass index (BMI) <25 kg/m2, blood pressure <140/90mmHg, non-smoker, no previous pathology or gestational diabetes. Trimester defined as T1: up to 13 weeks + 6 days, T2: 14-27 weeks + 6 days and T3: ≥28-41 weeks + 6 days. Baseline demographics, anthropometric and laboratory measurements were recorded. In total, 31 biochemical and 10 haematological ISO15189:2012 accredited tests were measured using Roche Cobas® and Sysmex XN-9100™ analysers, respectively. RIs were established according to the International Federation of Clinical Chemistry (IFCC) recommended method. RESULTS Apparently healthy pregnant women (n = 124) with bio-banked serum samples in each trimester were recruited. At the booking visit, 49.2% (n = 61) of participants were nulliparous, with median age of 34.4 (IQR: 31.3-37.3) years, gestational age of 89 (IQR: 84-93) days, BMI of 22.5 (IQR: 21.0-23.7) kg/m2 and systolic and diastolic blood pressure of 116 (110-125) mmHg and 67 (61-75) mmHg, respectively. CONCLUSIONS Normative trimester-specific biological intervals for routinely requested biochemical and haematological medical laboratory tests were established. These RIs will be invaluable to result interpretation and the management of pregnant women.
Collapse
Affiliation(s)
- Wendy Groenendijk
- Department of Clinical Biochemistry, Saolta University Health Care Group (SUHCG), 58040Galway University Hospitals, Galway, Ireland
| | - Delia Bogdanet
- School of Medicine, 8799National University of Ireland Galway (NUIG), Galway, Ireland.,Centre for Endocrinology, Diabetes and Metabolism, Saolta University Health Care Group (SUHCG), 58040Galway University Hospitals, Galway, Ireland
| | - Louise Dervan
- School of Medicine, 8799National University of Ireland Galway (NUIG), Galway, Ireland
| | - Oisin Finn
- Department of Clinical Biochemistry, Saolta University Health Care Group (SUHCG), 58040Galway University Hospitals, Galway, Ireland
| | - Md Nahidul Islam
- Department of Clinical Biochemistry, Saolta University Health Care Group (SUHCG), 58040Galway University Hospitals, Galway, Ireland
| | - Helen Doheny
- Department of Clinical Biochemistry, Saolta University Health Care Group (SUHCG), 58040Galway University Hospitals, Galway, Ireland
| | - Tomás P Griffin
- School of Medicine, 8799National University of Ireland Galway (NUIG), Galway, Ireland.,Centre for Endocrinology, Diabetes and Metabolism, Saolta University Health Care Group (SUHCG), 58040Galway University Hospitals, Galway, Ireland
| | - Liam Blake
- Department of Clinical Biochemistry, Saolta University Health Care Group (SUHCG), 58040Galway University Hospitals, Galway, Ireland
| | - Mark Lyons
- Department of Haematology, Saolta University Health Care Group (SUHCG), 58040Galway University Hospitals, Galway, Ireland
| | - Mary Kilcooley
- Department of Haematology, Saolta University Health Care Group (SUHCG), 58040Galway University Hospitals, Galway, Ireland
| | - Janusz Krawczyk
- School of Medicine, 8799National University of Ireland Galway (NUIG), Galway, Ireland.,Department of Haematology, Saolta University Health Care Group (SUHCG), 58040Galway University Hospitals, Galway, Ireland
| | - Ruth Gilmore
- School of Medicine, 8799National University of Ireland Galway (NUIG), Galway, Ireland.,Department of Haematology, Saolta University Health Care Group (SUHCG), 58040Galway University Hospitals, Galway, Ireland
| | - Damian G Griffin
- Department of Clinical Biochemistry, Saolta University Health Care Group (SUHCG), 58040Galway University Hospitals, Galway, Ireland
| | - Geraldine Gaffney
- School of Medicine, 8799National University of Ireland Galway (NUIG), Galway, Ireland.,Department of Obstetrics and Gynaecology, Saolta University Health Care Group (SUHCG), 58040Galway University Hospitals, Galway, Ireland
| | - Fidelma P Dunne
- School of Medicine, 8799National University of Ireland Galway (NUIG), Galway, Ireland.,Centre for Endocrinology, Diabetes and Metabolism, Saolta University Health Care Group (SUHCG), 58040Galway University Hospitals, Galway, Ireland
| | - Paula M O'Shea
- Department of Clinical Biochemistry, Saolta University Health Care Group (SUHCG), 58040Galway University Hospitals, Galway, Ireland.,School of Medicine, 8799National University of Ireland Galway (NUIG), Galway, Ireland
| |
Collapse
|
6
|
Bogdanet D, Toth Castillo M, Doheny H, Dervan L, Angel Luque-Fernandez M, Halperin J, O'Shea PM, Dunne FP. The utility of first trimester plasma glycated CD59 (pGCD59) in predicting gestational diabetes mellitus: A prospective study of non-diabetic pregnant women in Ireland. Diabetes Res Clin Pract 2022; 190:110023. [PMID: 35907507 PMCID: PMC9483034 DOI: 10.1016/j.diabres.2022.110023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Revised: 07/21/2022] [Accepted: 07/25/2022] [Indexed: 12/02/2022]
Abstract
AIMS To evaluate the ability of first trimester plasma glycated CD59 (pGCD59) to predict gestational diabetes mellitus (GDM) at 24-28 weeks of gestation. METHODS Prospectively, in 378 pregnant women, GDM was diagnosed using the one step 2 h 75 g oral glucose tolerance test adjudicated by the World Health Organisation (WHO) 2013 criteria. The ability of pGCD59 to predict GDM was assessed using receiver operating characteristic (ROC) curves adjusted for maternal age, body mass index (BMI), maternal ethnicity, parity, previous GDM, family history of diabetes mellitus and week of gestation at time of pGCD59 sampling. RESULTS pGCD59 generated an adjusted area under the curve (AUC) of (a) 0.63 (95 %CI:0.56-0.70, p < 0.001) for predicting GDM, and (b) 0.71 (95 %CI:0.62-0.79, p < 0.001 for GDM diagnosed with a fasting plasma glucose (FPG) ≥ 5.1 mmol/L. Sensitivity analysis of BMI subgroups showed that pGCD59 generated the highest AUC in the 35 kg/m2 ≤ BMI < 40 kg/m2 (AUC:0.85, 95 %CI:0.70-0.98) and BMI ≥ 40 kg/m2 (AUC:0.88, 95 %CI:0.63-0.99) categories. CONCLUSIONS Early in pregnancy, pGCD59 may be a good predictor of GDM in women with a high BMI and a fair predictor of GDM diagnosed by an elevated FPG independent of BMI.
Collapse
Affiliation(s)
- Delia Bogdanet
- College of Medicine, Nursing and Health Sciences, School of Medicine, National University of Ireland, Galway, Ireland.
| | - Michelle Toth Castillo
- Divisions of Haematology, Brigham & Women's Hospital, Harvard Medical School, United States.
| | - Helen Doheny
- Department of Clinical Biochemistry, Saolta University Health Care Group (SUHCG), Galway University Hospitals, Galway, Ireland.
| | - Louise Dervan
- College of Medicine, Nursing and Health Sciences, School of Medicine, National University of Ireland, Galway, Ireland.
| | - Miguel Angel Luque-Fernandez
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Department of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.
| | - Jose Halperin
- Divisions of Haematology, Brigham & Women's Hospital, Harvard Medical School, United States.
| | - Paula M O'Shea
- College of Medicine, Nursing and Health Sciences, School of Medicine, National University of Ireland, Galway, Ireland; Department of Clinical Biochemistry, Saolta University Health Care Group (SUHCG), Galway University Hospitals, Galway, Ireland.
| | - Fidelma P Dunne
- College of Medicine, Nursing and Health Sciences, School of Medicine, National University of Ireland, Galway, Ireland.
| |
Collapse
|
7
|
Bogdanet D, Toth Castillo M, Doheny H, Dervan L, Luque-Fernandez MA, Halperin JA, O’Shea PM, Dunne FP. The Diagnostic Accuracy of Second Trimester Plasma Glycated CD59 (pGCD59) to Identify Women with Gestational Diabetes Mellitus Based on the 75 g OGTT Using the WHO Criteria: A Prospective Study of Non-Diabetic Pregnant Women in Ireland. J Clin Med 2022; 11:jcm11133895. [PMID: 35807179 PMCID: PMC9267743 DOI: 10.3390/jcm11133895] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Revised: 06/24/2022] [Accepted: 07/02/2022] [Indexed: 02/04/2023] Open
Abstract
The aim of this study was to evaluate the ability of second trimester plasma glycated CD59 (pGCD59), a novel biomarker, to predict the results of the 2 h 75 g oral glucose tolerance test at 24−28 weeks of gestation, employing the 2013 World Health Organisation criteria. This was a prospective study of 378 pregnant women. The ability of pGCD59 to predict gestational diabetes (GDM) was assessed using adjusted ROC curves for maternal age, BMI, maternal ethnicity, parity, previous GDM, and family history of diabetes. The pGCD59 levels were significantly higher in women with GDM compared to women with normal glucose tolerance (p = 0.003). The pGCD59 generated an adjusted AUC for identifying GDM cases of 0.65 (95%CI: 0.58−0.71, p < 0.001). The pGCD59 predicted GDM status diagnosed by a fasting glucose value of 5.1 mmol/L with an adjusted AUC of 0.74 (95%CI: 0.65−0.81, p < 0.001). Analysis of BMI subgroups determined that pGCD59 generated the highest AUC in the 35 kg/m2 ≤ BMI < 40 kg/m2 (AUC: 0.84 95%CI: 0.69−0.98) and BMI ≥ 40 kg/m2 (AUC: 0.96 95%CI: 0.86−0.99) categories. This study found that second trimester pGCD59 is a fair predictor of GDM status diagnosed by elevated fasting glucose independent of BMI and an excellent predictor of GDM in subjects with a very high BMI.
Collapse
Affiliation(s)
- Delia Bogdanet
- College of Medicine, Nursing and Health Sciences, School of Medicine, National University of Ireland, H91 TK33 Galway, Ireland; (L.D.); (F.P.D.)
- Correspondence: ; Tel.: +353-831027771
| | - Michelle Toth Castillo
- Divisions of Haematology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA; (M.T.C.); (J.A.H.)
| | - Helen Doheny
- Department of Clinical Biochemistry, Saolta University Health Care Group (SUHCG), Galway University Hospitals, H91 YR71 Galway, Ireland; (H.D.); (P.M.O.)
| | - Louise Dervan
- College of Medicine, Nursing and Health Sciences, School of Medicine, National University of Ireland, H91 TK33 Galway, Ireland; (L.D.); (F.P.D.)
| | - Miguel-Angel Luque-Fernandez
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA;
- Department of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London KT1 2EE, UK
| | - Jose A. Halperin
- Divisions of Haematology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA; (M.T.C.); (J.A.H.)
| | - Paula M. O’Shea
- Department of Clinical Biochemistry, Saolta University Health Care Group (SUHCG), Galway University Hospitals, H91 YR71 Galway, Ireland; (H.D.); (P.M.O.)
| | - Fidelma P. Dunne
- College of Medicine, Nursing and Health Sciences, School of Medicine, National University of Ireland, H91 TK33 Galway, Ireland; (L.D.); (F.P.D.)
| |
Collapse
|
8
|
Benhalima K, Ma DD, Laenen A, Mathieu C, Halperin JA. Plasma glycated CD59 predicts postpartum glucose intolerance after gestational diabetes. Eur J Endocrinol 2021; 185:755-763. [PMID: 34524975 PMCID: PMC8511340 DOI: 10.1530/eje-21-0635] [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: 06/15/2021] [Accepted: 09/15/2021] [Indexed: 11/08/2022]
Abstract
AIM To assess whether in women with gestational diabetes mellitus (GDM), postpartum plasma glycated CD59 (pGCD59) levels predict conversion to glucose intolerance diagnosed with an oral glucose tolerance test (OGTT). METHODS Blood levels of pGCD59 were measured in a case-control study of 105 women with GDM who underwent a 75 g OGTT 3 months postpartum. The 35 postpartum glucose intolerant cases were individually matched for age, BMI, ethnic origin, and parity with 70 women with GDM but normal postpartum OGTT (controls). The GDM cohort (105) was also matched with 105 normal glucose tolerant women during pregnancy. pGCD59 was measured by ELISA in standard peptide units (SPU). RESULTS Mean pGCD59 postpartum was significantly higher in cases than in controls (1.5 ± 0.6 SPU vs 1.0 ± 0.6 SPU, P < 0.001). The area under the receiving operating characteristic curve (AUC) in cases vs controls was 0.72 (95% CI: 0.62-0.83) for postpartum pGCD59 and 0.50 (95% CI: 0.36-0.61) for postpartum HbA1c. A 0.5-unit increase in postpartum pGCD59 was associated with an odds ratio (OR) of 3.3 (95% CI: 1.82-6.16, P < 0.001) for glucose intolerance postpartum. A pGCD59 cut-off postpartum of 0.9 SPU had a sensitivity of 85.7% (95% CI: 69.7-95.2%), specificity of 47.8% (95% CI: 35.6-60.2%), positive predictive value of 45.4% (95% CI: 33.1-58.2%), and negative predictive value of 86.8% (95% CI: 71.9-95.6%). pGCD59 in pregnancy was a poor predictor for glucose intolerance postpartum (AUC of 0.61 (95% CI: 0.50-0.72)). CONCLUSION pGCD59 might identify women at low risk for glucose intolerance postpartum and could help to avoid an OGTT.
Collapse
Affiliation(s)
- Katrien Benhalima
- Department of Endocrinology, University Hospital Gasthuisberg, KU Leuven, Leuven, Belgium
| | - Diane D Ma
- Divisions of Hematology, Bringham & Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Annouschka Laenen
- Center of Biostatics and Statistical bioinformatics, KU Leuven, Leuven, Belgium
| | - Chantal Mathieu
- Department of Endocrinology, University Hospital Gasthuisberg, KU Leuven, Leuven, Belgium
| | - Jose A Halperin
- Divisions of Hematology, Bringham & Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| |
Collapse
|
9
|
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.
Collapse
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
| |
Collapse
|
10
|
Bogdanet D, Reddin C, Murphy D, Doheny HC, Halperin JA, Dunne F, O’Shea PM. Emerging Protein Biomarkers for the Diagnosis or Prediction of Gestational Diabetes-A Scoping Review. J Clin Med 2021; 10:jcm10071533. [PMID: 33917484 PMCID: PMC8038821 DOI: 10.3390/jcm10071533] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Revised: 04/02/2021] [Accepted: 04/02/2021] [Indexed: 02/06/2023] Open
Abstract
Introduction: Gestational diabetes (GDM), defined as hyperglycemia with onset or initial recognition during pregnancy, has a rising prevalence paralleling the rise in type 2 diabetes (T2DM) and obesity. GDM is associated with short-term and long-term consequences for both mother and child. Therefore, it is crucial we efficiently identify all cases and initiate early treatment, reducing fetal exposure to hyperglycemia and reducing GDM-related adverse pregnancy outcomes. For this reason, GDM screening is recommended as part of routine pregnancy care. The current screening method, the oral glucose tolerance test (OGTT), is a lengthy, cumbersome and inconvenient test with poor reproducibility. Newer biomarkers that do not necessitate a fasting sample are needed for the prompt diagnosis of GDM. The aim of this scoping review is to highlight and describe emerging protein biomarkers that fulfill these requirements for the diagnosis of GDM. Materials and Methods: This scoping review was conducted according to preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines for scoping reviews using Cochrane Central Register of Controlled Trials (CENTRAL), the Cumulative Index to Nursing & Allied Health Literature (CINAHL), PubMed, Embase and Web of Science with a double screening and extraction process. The search included all articles published in the literature to July 2020. Results: Of the 3519 original database citations identified, 385 were eligible for full-text review. Of these, 332 (86.2%) were included in the scoping review providing a total of 589 biomarkers studied in relation to GDM diagnosis. Given the high number of biomarkers identified, three post hoc criteria were introduced to reduce the items set for discussion: we chose only protein biomarkers with at least five citations in the articles identified by our search and published in the years 2017-2020. When applied, these criteria identified a total of 15 biomarkers, which went forward for review and discussion. Conclusions: This review details protein biomarkers that have been studied to find a suitable test for GDM diagnosis with the potential to replace the OGTT used in current GDM screening protocols. Ongoing research efforts will continue to identify more accurate and practical biomarkers to take GDM screening and diagnosis into the 21st century.
Collapse
Affiliation(s)
- Delia Bogdanet
- College of Medicine Nursing and Health Sciences, National University of Ireland Galway, H91TK33 Galway, Ireland;
- Centre for Diabetes Endocrinology and Metabolism, Galway University Hospital, Newcastle Road, H91YR71 Galway, Ireland; (C.R.); (D.M.); (H.C.D.); (P.M.O.)
- Correspondence: ; Tel.: +35-38-3102-7771
| | - Catriona Reddin
- Centre for Diabetes Endocrinology and Metabolism, Galway University Hospital, Newcastle Road, H91YR71 Galway, Ireland; (C.R.); (D.M.); (H.C.D.); (P.M.O.)
| | - Dearbhla Murphy
- Centre for Diabetes Endocrinology and Metabolism, Galway University Hospital, Newcastle Road, H91YR71 Galway, Ireland; (C.R.); (D.M.); (H.C.D.); (P.M.O.)
| | - Helen C. Doheny
- Centre for Diabetes Endocrinology and Metabolism, Galway University Hospital, Newcastle Road, H91YR71 Galway, Ireland; (C.R.); (D.M.); (H.C.D.); (P.M.O.)
| | - Jose A. Halperin
- Divisions of Haematology, Brigham & Women’s Hospital, Boston, MA 02115, USA;
| | - Fidelma Dunne
- College of Medicine Nursing and Health Sciences, National University of Ireland Galway, H91TK33 Galway, Ireland;
- Centre for Diabetes Endocrinology and Metabolism, Galway University Hospital, Newcastle Road, H91YR71 Galway, Ireland; (C.R.); (D.M.); (H.C.D.); (P.M.O.)
| | - Paula M. O’Shea
- Centre for Diabetes Endocrinology and Metabolism, Galway University Hospital, Newcastle Road, H91YR71 Galway, Ireland; (C.R.); (D.M.); (H.C.D.); (P.M.O.)
| |
Collapse
|
11
|
McIntyre HD, Kapur A, Divakar H, Hod M. Gestational Diabetes Mellitus-Innovative Approach to Prediction, Diagnosis, Management, and Prevention of Future NCD-Mother and Offspring. Front Endocrinol (Lausanne) 2020; 11:614533. [PMID: 33343512 PMCID: PMC7744927 DOI: 10.3389/fendo.2020.614533] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Accepted: 11/04/2020] [Indexed: 12/20/2022] Open
Abstract
Gestational diabetes mellitus (GDM) is the commonest medical complication of pregnancy. The association of GDM with immediate pregnancy complications including excess fetal growth and adiposity with subsequent risk of birth trauma and with hypertensive disorders of pregnancy is well recognized. However, the associations with wide ranges of longer-term health outcomes for mother and baby, including the lifetime risks of obesity, pre-diabetes, and diabetes and cardiovascular disease have received less attention and few health systems address these important issues in a systematic way. This article reviews historical and recent data regarding prediction of GDM using demographic, clinical, and biochemical parameters. We evaluate current and potential future diagnostic approaches designed to most effectively identify GDM and extend this analysis into a critical evaluation of lifestyle and nutritional/pharmacologic interventions designed to prevent the development of GDM. The general approach to management of GDM during pregnancy is then discussed and the major final focus of the article revolves around the importance of a GDM diagnosis as a future marker of the risk of non-communicable disease (NCD), in particular pre-diabetes, diabetes, and cardiovascular disease, both in mother and offspring.
Collapse
Affiliation(s)
- H. David McIntyre
- Mater Research, The University of Queensland, South Brisbane, QLD, Australia
| | - Anil Kapur
- World Diabetes Foundation, Bagsvaerd, Denmark
| | | | - Moshe Hod
- Mor Women’s Health Care Center, Tel Aviv, Israel
| |
Collapse
|
12
|
Bogdanet D, O’Shea P, Lyons C, Shafat A, Dunne F. The Oral Glucose Tolerance Test-Is It Time for a Change?-A Literature Review with an Emphasis on Pregnancy. J Clin Med 2020; 9:E3451. [PMID: 33121014 PMCID: PMC7693369 DOI: 10.3390/jcm9113451] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Revised: 09/29/2020] [Accepted: 10/22/2020] [Indexed: 02/06/2023] Open
Abstract
Globally, gestational diabetes (GDM) is increasing at an alarming rate. This increase is linked to the rise in obesity rates among women of reproductive age. GDM poses a major global health problem due to the related micro- and macro-vascular complications of subsequent Type 2 diabetes and the impact on the future health of generations through the long-term impact of GDM on both mothers and their infants. Therefore, correctly identifying subjects as having GDM is of utmost importance. The oral glucose tolerance test (OGTT) has been the mainstay for diagnosing gestational diabetes for decades. However, this test is deeply flawed. In this review, we explore a history of the OGTT, its reproducibility and the many factors that can impact its results with an emphasis on pregnancy.
Collapse
Affiliation(s)
- Delia Bogdanet
- Department of Medicine, School of Medicine, National University of Ireland Galway, H91TK33 Galway, Ireland; (P.O.); (A.S.); (F.D.)
- Department of Diabetes and Endocrinology, Saolta University Health Care Group (SUHCG), University Hospital Galway, H91YR71 Galway, Ireland
| | - Paula O’Shea
- Department of Medicine, School of Medicine, National University of Ireland Galway, H91TK33 Galway, Ireland; (P.O.); (A.S.); (F.D.)
- Department of Clinical Biochemistry, SUHCG, University Hospital Galway, H91YR71 Galway, Ireland;
| | - Claire Lyons
- Department of Clinical Biochemistry, SUHCG, University Hospital Galway, H91YR71 Galway, Ireland;
| | - Amir Shafat
- Department of Medicine, School of Medicine, National University of Ireland Galway, H91TK33 Galway, Ireland; (P.O.); (A.S.); (F.D.)
| | - Fidelma Dunne
- Department of Medicine, School of Medicine, National University of Ireland Galway, H91TK33 Galway, Ireland; (P.O.); (A.S.); (F.D.)
- Department of Diabetes and Endocrinology, Saolta University Health Care Group (SUHCG), University Hospital Galway, H91YR71 Galway, Ireland
| |
Collapse
|