Cargando…
Gestational diabetes is associated with the risk of offspring’s congenital anomalies: a register-based cohort study
BACKGROUND: Gestational diabetes mellitus (GDM) is a common pregnancy-related disorder and a well-known risk factor for adverse pregnancy outcomes. There are conflicting findings on the association of GDM with the risk of congenital anomalies (CAs) in offspring. In this study, we aimed to determine...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10548673/ https://www.ncbi.nlm.nih.gov/pubmed/37789251 http://dx.doi.org/10.1186/s12884-023-05996-6 |
_version_ | 1785115321024118784 |
---|---|
author | Kinnunen, Jenni Nikkinen, Hilkka Keikkala, Elina Mustaniemi, Sanna Gissler, Mika Laivuori, Hannele Eriksson, Johan G. Kaaja, Risto Pouta, Anneli Kajantie, Eero Vääräsmäki, Marja |
author_facet | Kinnunen, Jenni Nikkinen, Hilkka Keikkala, Elina Mustaniemi, Sanna Gissler, Mika Laivuori, Hannele Eriksson, Johan G. Kaaja, Risto Pouta, Anneli Kajantie, Eero Vääräsmäki, Marja |
author_sort | Kinnunen, Jenni |
collection | PubMed |
description | BACKGROUND: Gestational diabetes mellitus (GDM) is a common pregnancy-related disorder and a well-known risk factor for adverse pregnancy outcomes. There are conflicting findings on the association of GDM with the risk of congenital anomalies (CAs) in offspring. In this study, we aimed to determine study whether maternal GDM is associated with an increased risk of major CAs in offspring. METHODS: This Finnish Gestational Diabetes (FinnGeDi) register-based study included 6,597 women with singleton pregnancies and a diagnosis of GDM and 51,981 singleton controls with no diabetes identified from the Finnish Medical Birth Register (MBR) in 2009. Data from MBR were combined in this study with the Register of Congenital Malformations, which includes the data of CAs. We used logistic regression to calculate odds ratios (OR) for CAs, together with their 95% confidence intervals (CIs), adjusting for maternal age, parity, pre-pregnancy body mass index (BMI), and maternal smoking status. RESULTS: The risk of major CAs was higher in the GDM-exposed (n = 336, 5.09%) than in the non-exposed group (n = 2,255, 4.33%) (OR: 1.18, 95% CI: 1.05–1.33, p = 0.005). The adjusted OR (aOR) was 1.14 (95% CI: 1.00-1.30, p = 0.047). There was a higher overall prevalence of CAs, particularly chromosomal abnormalities (0.52% vs. 0.21%), in the GDM-exposed group (OR: 2.49, 95% Cl: 1.69–3.66, p < 0.001). The aOR was 1.93 (95% Cl: 1.25–2.99, p = 0.003). CONCLUSIONS: Offspring exposed to GDM have a higher prevalence of major CAs. Of note, risk factors other than GDM, such as older maternal age and a higher pre-pregnancy BMI, diminished the between group differences in the prevalence of major CAs. Nevertheless, our findings suggest that offspring exposed to maternal GDM are more likely to be diagnosed with a chromosomal abnormality, independent of maternal age, parity, pre-pregnancy BMI, and smoking. |
format | Online Article Text |
id | pubmed-10548673 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-105486732023-10-05 Gestational diabetes is associated with the risk of offspring’s congenital anomalies: a register-based cohort study Kinnunen, Jenni Nikkinen, Hilkka Keikkala, Elina Mustaniemi, Sanna Gissler, Mika Laivuori, Hannele Eriksson, Johan G. Kaaja, Risto Pouta, Anneli Kajantie, Eero Vääräsmäki, Marja BMC Pregnancy Childbirth Research BACKGROUND: Gestational diabetes mellitus (GDM) is a common pregnancy-related disorder and a well-known risk factor for adverse pregnancy outcomes. There are conflicting findings on the association of GDM with the risk of congenital anomalies (CAs) in offspring. In this study, we aimed to determine study whether maternal GDM is associated with an increased risk of major CAs in offspring. METHODS: This Finnish Gestational Diabetes (FinnGeDi) register-based study included 6,597 women with singleton pregnancies and a diagnosis of GDM and 51,981 singleton controls with no diabetes identified from the Finnish Medical Birth Register (MBR) in 2009. Data from MBR were combined in this study with the Register of Congenital Malformations, which includes the data of CAs. We used logistic regression to calculate odds ratios (OR) for CAs, together with their 95% confidence intervals (CIs), adjusting for maternal age, parity, pre-pregnancy body mass index (BMI), and maternal smoking status. RESULTS: The risk of major CAs was higher in the GDM-exposed (n = 336, 5.09%) than in the non-exposed group (n = 2,255, 4.33%) (OR: 1.18, 95% CI: 1.05–1.33, p = 0.005). The adjusted OR (aOR) was 1.14 (95% CI: 1.00-1.30, p = 0.047). There was a higher overall prevalence of CAs, particularly chromosomal abnormalities (0.52% vs. 0.21%), in the GDM-exposed group (OR: 2.49, 95% Cl: 1.69–3.66, p < 0.001). The aOR was 1.93 (95% Cl: 1.25–2.99, p = 0.003). CONCLUSIONS: Offspring exposed to GDM have a higher prevalence of major CAs. Of note, risk factors other than GDM, such as older maternal age and a higher pre-pregnancy BMI, diminished the between group differences in the prevalence of major CAs. Nevertheless, our findings suggest that offspring exposed to maternal GDM are more likely to be diagnosed with a chromosomal abnormality, independent of maternal age, parity, pre-pregnancy BMI, and smoking. BioMed Central 2023-10-03 /pmc/articles/PMC10548673/ /pubmed/37789251 http://dx.doi.org/10.1186/s12884-023-05996-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Kinnunen, Jenni Nikkinen, Hilkka Keikkala, Elina Mustaniemi, Sanna Gissler, Mika Laivuori, Hannele Eriksson, Johan G. Kaaja, Risto Pouta, Anneli Kajantie, Eero Vääräsmäki, Marja Gestational diabetes is associated with the risk of offspring’s congenital anomalies: a register-based cohort study |
title | Gestational diabetes is associated with the risk of offspring’s congenital anomalies: a register-based cohort study |
title_full | Gestational diabetes is associated with the risk of offspring’s congenital anomalies: a register-based cohort study |
title_fullStr | Gestational diabetes is associated with the risk of offspring’s congenital anomalies: a register-based cohort study |
title_full_unstemmed | Gestational diabetes is associated with the risk of offspring’s congenital anomalies: a register-based cohort study |
title_short | Gestational diabetes is associated with the risk of offspring’s congenital anomalies: a register-based cohort study |
title_sort | gestational diabetes is associated with the risk of offspring’s congenital anomalies: a register-based cohort study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10548673/ https://www.ncbi.nlm.nih.gov/pubmed/37789251 http://dx.doi.org/10.1186/s12884-023-05996-6 |
work_keys_str_mv | AT kinnunenjenni gestationaldiabetesisassociatedwiththeriskofoffspringscongenitalanomaliesaregisterbasedcohortstudy AT nikkinenhilkka gestationaldiabetesisassociatedwiththeriskofoffspringscongenitalanomaliesaregisterbasedcohortstudy AT keikkalaelina gestationaldiabetesisassociatedwiththeriskofoffspringscongenitalanomaliesaregisterbasedcohortstudy AT mustaniemisanna gestationaldiabetesisassociatedwiththeriskofoffspringscongenitalanomaliesaregisterbasedcohortstudy AT gisslermika gestationaldiabetesisassociatedwiththeriskofoffspringscongenitalanomaliesaregisterbasedcohortstudy AT laivuorihannele gestationaldiabetesisassociatedwiththeriskofoffspringscongenitalanomaliesaregisterbasedcohortstudy AT erikssonjohang gestationaldiabetesisassociatedwiththeriskofoffspringscongenitalanomaliesaregisterbasedcohortstudy AT kaajaristo gestationaldiabetesisassociatedwiththeriskofoffspringscongenitalanomaliesaregisterbasedcohortstudy AT poutaanneli gestationaldiabetesisassociatedwiththeriskofoffspringscongenitalanomaliesaregisterbasedcohortstudy AT kajantieeero gestationaldiabetesisassociatedwiththeriskofoffspringscongenitalanomaliesaregisterbasedcohortstudy AT vaarasmakimarja gestationaldiabetesisassociatedwiththeriskofoffspringscongenitalanomaliesaregisterbasedcohortstudy |