Prepregnancy body mass index and glycated albumin in the third trimester may predict infant complications in gestational diabetes mellitus: a retrospective cohort study.
Body mass index
Gestational diabetes mellitus
Glycated albumin
Glycated hemoglobin
Infant complication
Journal
Diabetology international
ISSN: 2190-1678
Titre abrégé: Diabetol Int
Pays: Japan
ID NLM: 101553224
Informations de publication
Date de publication:
Jul 2023
Jul 2023
Historique:
received:
05
10
2022
accepted:
03
04
2023
medline:
3
7
2023
pubmed:
3
7
2023
entrez:
3
7
2023
Statut:
epublish
Résumé
Maternal hyperglycemia, obesity, and hypertension with gestational diabetes mellitus (GDM) are risk factors for infant complications. This study aimed to investigate maternal factors and glycemic control indicators that affect infant complications in GDM. We conducted a retrospective cohort study including 112 mothers with GDM and their infants. Multivariate logistic regression analysis was used to investigate the variables associated with good and adverse infant outcomes. We determined the cutoff values of variables that showed a significant difference in the multivariate logistic regression analysis for predicting infant complications by performing receiver operating characteristic curve analysis. In the multivariate logistic regression analysis, prepregnancy BMI and GA in the third trimester were significantly related to good and adverse infant outcomes (adjusted odds ratios [aORs], 1.62; 95% CIs 1.17-2.25, p = 0.003 and aORs, 2.77; 95% CIs 1.15-6.64, p = 0.022, respectively). The cutoff values for prepregnancy BMI and GA in the third trimester were 25.3 kg/m2 and 13.5%, respectively. The importance of weight control before pregnancy and the usefulness of GA in the third trimester to predict infant complications were suggested in this study.
Sections du résumé
Background
UNASSIGNED
Maternal hyperglycemia, obesity, and hypertension with gestational diabetes mellitus (GDM) are risk factors for infant complications. This study aimed to investigate maternal factors and glycemic control indicators that affect infant complications in GDM.
Methods
UNASSIGNED
We conducted a retrospective cohort study including 112 mothers with GDM and their infants. Multivariate logistic regression analysis was used to investigate the variables associated with good and adverse infant outcomes. We determined the cutoff values of variables that showed a significant difference in the multivariate logistic regression analysis for predicting infant complications by performing receiver operating characteristic curve analysis.
Results
UNASSIGNED
In the multivariate logistic regression analysis, prepregnancy BMI and GA in the third trimester were significantly related to good and adverse infant outcomes (adjusted odds ratios [aORs], 1.62; 95% CIs 1.17-2.25, p = 0.003 and aORs, 2.77; 95% CIs 1.15-6.64, p = 0.022, respectively). The cutoff values for prepregnancy BMI and GA in the third trimester were 25.3 kg/m2 and 13.5%, respectively.
Conclusions
UNASSIGNED
The importance of weight control before pregnancy and the usefulness of GA in the third trimester to predict infant complications were suggested in this study.
Identifiants
pubmed: 37397905
doi: 10.1007/s13340-023-00631-3
pii: 631
pmc: PMC10307751
doi:
Types de publication
Journal Article
Langues
eng
Pagination
280-287Informations de copyright
© The Japan Diabetes Society 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
Déclaration de conflit d'intérêts
Conflict of interestThe authors declare no conflicts of interest.
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