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González-González NL, González-Dávila E, Megía A, Pintado P, Vega B, Padrón E, Pérez-Conde L, Villalba N, Bugatto F. The NDDG criteria versus the IADPSG or the ADA criteria for diagnosing early-onset gestational diabetes mellitus or abnormal glucose tolerance. Int J Gynaecol Obstet 2023; 160:906-914. [PMID: 36087278 PMCID: PMC10087419 DOI: 10.1002/ijgo.14453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 08/11/2022] [Accepted: 08/17/2022] [Indexed: 11/12/2022]
Abstract
OBJECTIVE To analyze the effects of substituting the National Diabetes Data Group (NDDG) criteria with the International Association of Diabetes and Pregnancy Study Groups (IADPSG) or American Diabetes Association (ADA) criteria for the diagnosis of early-onset gestational diabetes mellitus (Early-GDM) or first trimester abnormal glucose tolerance (1 t-AGT). METHODS A retrospective cohort study was conducted of 3200 women: 400 with Early-GDM, 800 with GDM, and 2000 with Non-GDM, according to the NDDG criteria. Rates of women with missed and new Early-GDM according to the IADPSG or ADA criteria were calculated. Multivariate logistic regression analysis was used to compare perinatal outcomes between groups. RESULTS Using the IADPSG criteria, 61.6% of women with Early-GDM according to the NDDG were undiagnosed (Missed-Early-GDM group), and 25.9% of women with GDM and 15.7% of women with Non-GDM were diagnosed with Early-GDM (New-Early-GDM groups). Perinatal outcomes were worse in Missed-Early-GDM than in Non-GDM and better in New-Early-GDM groups than in the Early-GDM group. According to the ADA recommendations, only 11.8% of women with Early-GDM according to the NDDG criteria were diagnosed. CONCLUSION Replacing the NDDG recommendations for the diagnosis of Early-GDM with the IADPSG or ADA criteria would mean depriving a large number of women with AGT and higher risk of adverse perinatal outcomes from early treatment and treating others with lower risk.
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Affiliation(s)
- Nieves Luisa González-González
- Department of Obstetrics and Gynecology, University of La Laguna, Tenerife, Canary Islands, Spain.,Spanish Diabetes and Pregnancy Study Group. Sociedad Española de Ginecología y Obstetricia (SEGO) and Sociedad Española de Diabetes (SED, Madrid, Spain
| | - Enrique González-Dávila
- Mathemathics, Statistics and Operations Research Department, IMAULL, University of La Laguna, Tenerife, Canary Islands, Spain
| | - Ana Megía
- Spanish Diabetes and Pregnancy Study Group. Sociedad Española de Ginecología y Obstetricia (SEGO) and Sociedad Española de Diabetes (SED, Madrid, Spain.,Hospital Universitari Joan XXIII, Tarragona, Spain
| | - Pilar Pintado
- Spanish Diabetes and Pregnancy Study Group. Sociedad Española de Ginecología y Obstetricia (SEGO) and Sociedad Española de Diabetes (SED, Madrid, Spain.,Hospital Universitario Gregorio Marañón, Madrid, Spain
| | - Begoña Vega
- Spanish Diabetes and Pregnancy Study Group. Sociedad Española de Ginecología y Obstetricia (SEGO) and Sociedad Española de Diabetes (SED, Madrid, Spain.,Hospital Universitario Materno Infantil de Canarias, Gran Canaria, Canary Islands, Spain
| | - Erika Padrón
- Comlejo Hospitalario Universitario de Canarias, Tenerife, Canary Islands, Spain
| | - Laura Pérez-Conde
- Comlejo Hospitalario Universitario de Canarias, Tenerife, Canary Islands, Spain
| | - Nazaret Villalba
- Comlejo Hospitalario Universitario de Canarias, Tenerife, Canary Islands, Spain
| | - Fernando Bugatto
- Spanish Diabetes and Pregnancy Study Group. Sociedad Española de Ginecología y Obstetricia (SEGO) and Sociedad Española de Diabetes (SED, Madrid, Spain.,Division of Maternal-Fetal Medicine, Obstetrics and Gynecology Department, Puerta del Mar University Hospital, University of Cádiz and Biomedical Research and Innovation Institute of Cádiz (INiBICA), Cádiz, Spain
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González González NL, González Dávila E, González Martín A, Armas M, Tascón L, Farras A, Higueras T, Mendoza M, Carreras E, Goya M. Abnormal Maternal Body Mass Index and Customized Fetal Weight Charts: Improving the Identification of Small for Gestational Age Fetuses and Newborns. Nutrients 2023; 15:nu15030587. [PMID: 36771294 PMCID: PMC9920601 DOI: 10.3390/nu15030587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Revised: 01/08/2023] [Accepted: 01/19/2023] [Indexed: 01/24/2023] Open
Abstract
BACKGROUND Obesity and thinness are serious diseases, but cases with abnormal maternal weight have not been excluded from the calculations in the construction of customized fetal growth curves (CCs). METHOD To determine if the new CCs, built excluding mothers with an abnormal weight, are better than standard CCs at identifying SGA. A total of 16,122 neonates were identified as SGA, LGA, or AGA, using the two models. Logistic regression and analysis of covariance were used to calculate the OR and CI for adverse outcomes by group. Gestational age was considered as a covariable. RESULTS The SGA rates by the new CCs and by the standard CCs were 11.8% and 9.7%, respectively. The SGA rate only by the new CCs was 18% and the SGA rate only by the standard CCs was 0.01%. Compared to AGA by both models, SGA by the new CCs had increased rates of cesarean section, (OR 1.53 (95% CI 1.19, 1.96)), prematurity (OR 2.84 (95% CI 2.09, 3.85)), NICU admission (OR 5.41 (95% CI 3.47, 8.43), and adverse outcomes (OR 1.76 (95% CI 1.06, 2.60). The strength of these associations decreased with gestational age. CONCLUSION The use of the new CCs allowed for a more accurate identification of SGA at risk of adverse perinatal outcomes as compared to the standard CCs.
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Affiliation(s)
- Nieves Luisa González González
- Department of Obstetrics and Gynecology, University of La Laguna, Hospital Universitario de Canarias, 38200 Tenerife, Spain
- Correspondence: ; Tel.: +34-922678335
| | - Enrique González Dávila
- Department of Mathematics, Statistics and Operations Research, IMAULL, University of La Laguna, 38200 Tenerife, Spain
| | - Agustina González Martín
- Department of Obstetrics and Gynecology, Hospital Universitario Ntra Sra de Candenlaria, 38200 Tenerife, Spain
| | - Marina Armas
- Department of Pediatrics, Evangelisches Krakenhaus König Elisabeth Herzberge, 10365 Berlin, Germany
| | - Laura Tascón
- Department of Obstetrics and Gynecology, University of La Laguna, Hospital Universitario de Canarias, 38200 Tenerife, Spain
| | - Alba Farras
- Maternal-Fetal Medicine Unit, Department of Obstetrics, Hospital Universitari Vall d’Hebron, Universitat Autónoma de Barcelona, Pg. de la Vall d'Hebron, 119, 08035 Barcelona, Spain
| | - Teresa Higueras
- Maternal-Fetal Medicine Unit, Department of Obstetrics, Hospital Universitari Vall d’Hebron, Universitat Autónoma de Barcelona, Pg. de la Vall d'Hebron, 119, 08035 Barcelona, Spain
| | - Manel Mendoza
- Maternal-Fetal Medicine Unit, Department of Obstetrics, Hospital Universitari Vall d’Hebron, Universitat Autónoma de Barcelona, Pg. de la Vall d'Hebron, 119, 08035 Barcelona, Spain
| | - Elena Carreras
- Maternal-Fetal Medicine Unit, Department of Obstetrics, Hospital Universitari Vall d’Hebron, Universitat Autónoma de Barcelona, Pg. de la Vall d'Hebron, 119, 08035 Barcelona, Spain
| | - María Goya
- Maternal-Fetal Medicine Unit, Department of Obstetrics, Hospital Universitari Vall d’Hebron, Universitat Autónoma de Barcelona, Pg. de la Vall d'Hebron, 119, 08035 Barcelona, Spain
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Fasting Glucose for the Diagnosis of Gestational Diabetes Mellitus (GDM) during the COVID-19 Pandemic. Nutrients 2022; 14:nu14163432. [PMID: 36014937 PMCID: PMC9415001 DOI: 10.3390/nu14163432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 08/10/2022] [Accepted: 08/14/2022] [Indexed: 11/29/2022] Open
Abstract
Background: During the COVID-19 pandemic, different non-validated tests were proposed to simplify the diagnosis of gestational diabetes (GDM). Aim: To analyse the effects of replacing the two-step approach for Early-GDM and GDM diagnosis, with a fasting plasma glucose test. Material and Methods: This is a cohort study consisting of 3200 pregnant women: 400 with Early-GDM, 800 with GDM and 2000 with Non-GDM diagnosed using the two-step approach. Using fasting plasma glucose for Early-GDM and GDM diagnosis, according to the recommendations of Spain, Australia, Italy and the UK during the pandemic, the rates of missed and new Early-GDM and GDM were calculated and perinatal outcomes were analysed. Results: Using fasting plasma glucose in the first trimester >100 mg/dL for Early-GDM diagnosis, the rates of post-COVID missed and new Early-GDM were 79.5% and 3.2%, respectively. Using fasting plasma glucose at 24−28 weeks <84 or >92, 95 or 100 mg/dL for GDM diagnosis, the rates of missed GDM were 50.4%, 78%, 82.6% and 92.4%, respectively, and 8.6%, 5.6% and 2.3% women with Non-GDM were diagnosed with new GDM. Conclusion: Fasting plasma glucose is not a good test for the diagnosis of GDM either in the first trimester or at 24−28 weeks.
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