Gestational diabetes is associated with the risk of offspring’s congenital anomalies: a register-based cohort study

dc.contributor.authorKinnunen Jenni
dc.contributor.authorNikkinen Hilkka
dc.contributor.authorKeikkala Elina
dc.contributor.authorMustaniemi Sanna
dc.contributor.authorGissler Mika
dc.contributor.authorLaivuori Hannele
dc.contributor.authorEriksson Johan G.
dc.contributor.authorKaaja Risto
dc.contributor.authorPouta Anneli
dc.contributor.authorKajantie Eero
dc.contributor.authorVääräsmäki Marja
dc.contributor.organizationfi=sisätautioppi|en=Internal Medicine|
dc.contributor.organizationfi=tyks, vsshp|en=tyks, varha|
dc.contributor.organization-code1.2.246.10.2458963.20.40502528769
dc.converis.publication-id181616781
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/181616781
dc.date.accessioned2025-08-27T22:44:06Z
dc.date.available2025-08-27T22:44:06Z
dc.description.abstract<p><strong>Background</strong> 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.</p><p><strong>Methods</strong> 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.</p><p><strong>Results</strong> 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 GDMexposed 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).</p><p><strong>Conclusions</strong> 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.<br><br></p>
dc.identifier.eissn1471-2393
dc.identifier.jour-issn1471-2393
dc.identifier.olddbid202703
dc.identifier.oldhandle10024/185730
dc.identifier.urihttps://www.utupub.fi/handle/11111/48521
dc.identifier.urlhttps://bmcpregnancychildbirth.biomedcentral.com/articles/10.1186/s12884-023-05996-6
dc.identifier.urnURN:NBN:fi-fe2025082789873
dc.language.isoen
dc.okm.affiliatedauthorKaaja, Risto
dc.okm.affiliatedauthorDataimport, tyks, vsshp
dc.okm.discipline3121 Internal medicineen_GB
dc.okm.discipline3123 Gynaecology and paediatricsen_GB
dc.okm.discipline3121 Sisätauditfi_FI
dc.okm.discipline3123 Naisten- ja lastentauditfi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisherBioMed Central Ltd
dc.publisher.countryUnited Kingdomen_GB
dc.publisher.countryBritanniafi_FI
dc.publisher.country-codeGB
dc.relation.articlenumber708
dc.relation.doi10.1186/s12884-023-05996-6
dc.relation.ispartofjournalBMC Pregnancy and Childbirth
dc.relation.volume23
dc.source.identifierhttps://www.utupub.fi/handle/10024/185730
dc.titleGestational diabetes is associated with the risk of offspring’s congenital anomalies: a register-based cohort study
dc.year.issued2023

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