Evidence map›Paper›PMID 41309843›Full record

ArticleScientific reports2025

Association between triglyceride glucose-body mass index and preeclampsia risk in advanced maternal age pregnant women-a retrospective cohort study.

Sulan Huang, Yeping Mo, Nuoni Wang, Hui Peng, Liangqing Ge, Wen Ouyang, Li Liang

Abstract read
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Article in Scientific reports, 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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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Sulan Huang *Department of Cardiology, Xiangya School of Medicine, Changde Hospital, Central South University (The first people's hospital of Changde city), Changde, China.
Yeping Mo *Department of UItrasonic Diagnosis, Xiangya School of Medicine,, Changde Hospital, Central South University (The first people's hospital of Changde city), Changde, China.
Nuoni WangDepartment of Electrophysiology, Xiangya School of Medicine, Changde Hospital, Central South University (The first people's hospital of Changde city), Changde, China.
Hui PengDepartment of Cardiology, Xiangya School of Medicine, Changde Hospital, Central South University (The first people's hospital of Changde city), Changde, China.
Liangqing GeDepartment of Cardiology, Xiangya School of Medicine, Changde Hospital, Central South University (The first people's hospital of Changde city), Changde, China.
Wen OuyangDepartment of Medical Administration, Xiangya School of Medicine, Changde Hospital, Central South University (The first people's hospital of Changde city), Changde, China.
Li LiangDepartment of Cardiology, Xiangya School of Medicine, Changde Hospital, Central South University (The first people's hospital of Changde city), Changde, China. 35520288@qq.com.

Funding

Hunan Provincial Natural Science Foundation Of China 2024JJ7007The science and technology innovation Program of Changde city 2024ZD129,2024ZD272
6 · The paper itself

Abstract

There are limited studies on the relationship between triglyceride glucose-body mass index (TyG-BMI index) and preeclampsia risk in advanced maternal age women. The aim of this study was to investigate the association between TyG-BMI index and the incidence of preeclampsia in advanced maternal age women.This was a retrospective cohort study. A total of 2,296 pregnant women aged ≧ 35 years were included in this study. Multivariate logistic regression analysis was used to assess the association between the TyG-BMI index and preeclampsia, adjusting for potential confounders. Subgroup analyses were conducted to explore the interaction between the TyG-BMI index and parity. Receiver operating characteristic (ROC) curves were generated to evaluate the predictive performance of the TyG-BMI index for preeclampsia.The TyG-BMI index was significantly positively associated with the risk of preeclampsia, demonstrating a dose-response connection. In the fully adjusted model, a one-standard deviation (SD) increase in the TyG-BMI index was associated with a 43% higher risk of preeclampsia (OR = 1.43; 95% CI: 1.25–1.65; P < 0.0001). Subgroup analysis revealed that the association was particularly strong in nulliparous women (OR = 2.21; 95% CI: 1.68–7.14; P < 0.001). The ROC curve analysis demonstrated that the TyG-BMI index had a moderate predictive value for preeclampsia, with an area under the curve (AUC) of 0.724 (95% CI: 0.696–0.756). The TyG-BMI index is significantly associated with an increased risk of preeclampsia in advanced maternal age women, particularly in nulliparous women.

Indexed as

Blood GlucoseBody Mass IndexPre-EclampsiaTriglyceridesAdultAdvanced Maternal AgeFemaleHumansMaternal AgePregnancyRetrospective StudiesRisk FactorsROC CurveBlood GlucoseTriglyceridesAdvanced maternal agePreeclampsiaPregnant womenTriglyceride glucose-body mass index

Identifiers

PMID41309843
PMCPMC12660951

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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.