Evidence map›Paper›PMID 40269994›Full record

ArticleJournal of health, population, and nutrition2025

Association between the glucose pattern in oral glucose tolerance test and adverse pregnancy outcomes among non-diabetic women.

Fangping Zhou, Binbin Yin, Ya Xi, Jinghua Zhang, Yongying Bai

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Article in Journal of health, population, and nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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5 authors.

Fangping Zhou *Department of Clinical Laboratory, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, 31006, Zhejiang Province, China.
Binbin Yin *Department of Clinical Laboratory, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, 31006, Zhejiang Province, China.
Ya XiDepartment of Central Laboratory, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China.
Jinghua ZhangDepartment of Clinical Laboratory, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, 31006, Zhejiang Province, China.
Yongying BaiDepartment of Clinical Laboratory, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, 31006, Zhejiang Province, China. 5515053@zju.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to explore whether the patterns of the oral glucose tolerance test (OGTT) could function as a predictive factor for adverse pregnancy outcomes in pregnant women without gestational diabetes mellitus (GDM).

methodsA retrospective cohort study was carried out, involving a total of 23,577 pregnant women. The participants were classified into three groups according to the area under the curve (AUC) of the OGTT performed between 24 and 28 weeks of gestation. Based on the tertiles of the AUC-OGTT magnitude, three distinct glucose patterns were identified: small AUC (SA) with an AUC-OGTT ≤ 12.26, medium AUC (MA) with an AUC-OGTT between 12.26 and 13.81, and large AUC (LA) with an AUC-OGTT > 13.81. Logistic regression analysis was utilized to assess the association between different AUC-OGTT patterns and the risk of adverse pregnancy outcomes.

resultsThe incidence of adverse pregnancy outcomes, including preeclampsia, preterm birth, macrosomia, and cesarean delivery, showed a progressive increase from the SA to the MA to the LA pattern. A positive dose-response relationship was observed between the AUC-OGTT and adverse pregnancy outcomes. In the logistic regression analysis, with the SA pattern as the reference, the MA pattern was associated with a higher risk of macrosomia and cesarean delivery (both P < 0.001). Even after adjusting for potential covariates, the relative risks for these outcomes were 1.34 (95% CI: 1.14, 1.56) and 1.09 (95% CI: 1.01, 1.16), respectively (both P < 0.05). Additionally, the LA pattern was associated with a higher risk of preeclampsia, preterm birth, macrosomia, and cesarean delivery (all P < 0.01). After adjusting for potential covariates, the relative risks for preterm birth, macrosomia, and cesarean delivery were 1.20 (95% CI: 1.03, 1.41), 1.68 (95% CI: 1.44, 1.95), and 1.15 (95% CI: 1.07, 1.23), respectively (all P < 0.05). Moreover, these risks differed according to maternal age and preconception body mass index (BMI).

conclusionsThe present study highlights the relationship between OGTT patterns and adverse pregnancy outcomes in Chinese women without GDM. Identifying the MA and LA patterns as unfavorable factors for adverse pregnancy outcomes can provide crucial information for clinicians to develop personalized risk assessment and intervention strategies, which may contribute to improving pregnancy outcomes.

Indexed as

Blood GlucosePregnancy ComplicationsPregnancy OutcomeAdultArea Under CurveCesarean SectionDiabetes, GestationalFemaleFetal MacrosomiaGlucose Tolerance TestHumansLogistic ModelsPre-EclampsiaPregnancyPremature BirthRetrospective StudiesBlood GlucoseAdverse pregnancy outcomesArea under the curveGlucose patternOral glucose tolerance testRisk

Identifiers

PMID40269994
PMCPMC12020201

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.