Evidence mapPaperPMID 41388294Full record

ArticleLipids in health and disease2025

CRP-triglyceride-glucose index (CTGI) as a predictor of preeclampsia: a population-based study of risk stratification.

Yuting Liang, Yanqiu Zhang, Yujing Li, Jun Cao, Bin Feng, Jieyu Jin, Sheng Zhang, Qingqin Tang, Longwei Qiao, Zhixing Jin

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Article in Lipids in health and disease, 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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10 authors.

Yuting LiangCenter for Clinical Laboratory, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, 215123, People's Republic of China.
Yanqiu ZhangInstitute of Clinical Pharmacology, Key Laboratory of Anti-inflammatory and Immune Medicine, Anhui Collaborative Innovation Center of Anti-inflammatory and Immune Medicine, Anhui Medical University, Ministry of Education, Hefei, Anhui Province, China.
Yujing LiDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, 215123, People's Republic of China.
Jun CaoCenter for Clinical Laboratory, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, 215123, People's Republic of China.
Bin FengCenter for Clinical Laboratory, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, 215123, People's Republic of China.
Jieyu JinCenter for Clinical Laboratory, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, 215123, People's Republic of China.
Sheng ZhangCenter for Clinical Laboratory, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, 215123, People's Republic of China.
Qingqin TangCenter for Clinical Laboratory, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, 215123, People's Republic of China.
Longwei QiaoCenter for Reproduction and Genetics, School of Gusu, Suzhou Municipal Hospital, The Affiliated Suzhou Hospital of Nanjing Medical University, Nanjing Medical University, No.26, Daoqian Street, Suzhou, Jiangsu Province, 215002, China. qiaolongwei1@126.com.
Zhixing JinDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, 215123, People's Republic of China. jinzhixing131@hotmail.com.

Funding

Jiangsu Province College Students' Innovation and Entrepreneurship Training Program Project 202410285273YNational Natural Science Foundation of China 82001523National Natural Science Foundation of China 82001576Primary Research & Development Plan of Jiangsu Province BE2022736Science Foundation of Jiangsu Province Grant BK20240371Suzhou Health Talent Program GSWS2021004Suzhou Health Talent Program GSWS2024046Suzhou Key Clinical Technology Research SKY2023001Suzhou Medical College of Soochow University - Qilu Medical Research Fund 24QL200205
6 · The paper itself

Abstract

backgroundpreeclampsia (PE) remains a leading cause of maternal and perinatal morbidity and mortality worldwide. While metabolic and inflammatory factors are increasingly recognized in its pathogenesis, the clinical utility of composite biomarkers remains underexplored. This study aimed to investigate the association between the C-reactive protein-triglyceride-glucose (CRP-TG-glucose) index (CTGI), a novel marker of metabolic-inflammation stress, and the risk of preeclampsia.

methodsThis retrospective cohort study included 11,916 pregnant women, of whom 486 developed preeclampsia. Maternal baseline characteristics were compared between the PE and non-PE groups. Logistic regression analyses were conducted to identify factors associated with PE. The relationship between CTGI and PE risk was further explored using quartile stratification, restricted cubic spline regression, and threshold effect analyses. Subgroup analyses were also performed to assess interaction effects across maternal and obstetric variables.

resultsWomen with PE had significantly higher maternal age, body mass index (BMI), in vitro fertilization (IVF) conception, multifetal pregnancies, and elevated CTGI levels compared to non-PE counterparts (all P < .001). Multivariate logistic regression identified CTGI as an independent risk factor for PE (adjusted OR, 1.78; 95% CI, 1.51-2.09; P < .001), alongside BMI, maternal age, IVF, and multifetal gestation. A dose-response relationship was observed across CTGI quartiles, with the highest quartile showing a markedly increased PE risk (adjusted OR, 2.06; 95% CI, 1.52-2.81). Restricted cubic spline models and threshold analysis revealed a nonlinear association with a significant inflection point at CTGI = 2.244. Above this threshold, the risk of PE rose sharply (OR, 3.93; 95% CI, 2.09-7.39; P < .001). Subgroup analyses demonstrated consistent associations across maternal age, BMI, parity, plurality, and IVF status, without significant interaction.

conclusionsElevated CTGI in early pregnancy is independently and nonlinearly associated with an increased risk of preeclampsia, particularly above a critical threshold of 2.244. These findings underscore the potential clinical value of CTGI as an early risk stratification biomarker for PE, enabling timely intervention in high-risk pregnancies.

Indexed as

Blood GlucoseC-Reactive ProteinPre-EclampsiaTriglyceridesAdultBiomarkersBody Mass IndexFemaleHumansLogistic ModelsMaternal AgePregnancyRetrospective StudiesRisk FactorsBiomarkersBlood GlucoseC-Reactive ProteinTriglyceridesDose-response relationshipPre-EclampsiaRisk assessment

Identifiers

PMID41388294
PMCPMC12817390

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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 Socratic graph.