Evidence map›Paper›PMID 40369512›Full record

ArticleBMC pregnancy and childbirth2025

The prognostic nutritional index is associated with preeclampsia in twin pregnancies.

Qing Han, Shuisen Zheng, Xiaoling Chen, Yuting Gao, Huale Zhang, Na Lin

Abstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Qing Han *College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China.
Shuisen Zheng *Department of Obstetrics, Fujian Maternity and Child Health Hospital, Fuzhou, China.
Xiaoling ChenCollege of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China.
Yuting GaoCollege of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China.
Huale ZhangDepartment of Obstetrics, Fujian Maternity and Child Health Hospital, Fuzhou, China. zhanghuale@fjmu.edu.cn.
Na LinCollege of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China. linna1088@fjmu.edu.cn.

Funding

Natural Science Foundation of Fujian Province 2022J01425Natural Science Foundation of Fujian Province 2023J011213the Joint Funds for the Innovation of Science and Technology, Fujian Province 2021Y9178
6 · The paper itself

Abstract

objectiveWe aimed to investigate the relationship between the prognostic nutritional index (PNI) during the third trimester and the risk of preeclampsia (PE) in twin pregnancies.

methodA total of 2998 twin pregnancies were enrolled in Fujian Maternal and Child Health Hospital from January 2015 to December 2021, including preeclampsia group (n = 421) and control group (n = 2577). The significance of the characteristic variables in predicting PE in twin pregnancies were calculated using the random forest algorithm (Boruta package) and the correlation between PNI and PE in twin pregnancies was examined in three distinct models using multivariable logistic regression corrected for confounders. Receiver operating characteristics (ROC) curves were used to evaluate the ability for PNI to predict PE in twin pregnancies.

resultsPNI (37.92 ± 3.86 vs. 40.57 ± 3.63, P < 0.001) was significantly lower in the PE group than in the control group. After adjusting for all covariates, the PNI was negatively associated with PE in twin pregnancies (OR = 0.780; 95% CI: 0.753, 0.808). Meanwhile, the higher PNI remained an independent protective factor for PE in twin pregnancies compared to lower PNI (OR, 95% CI: 0.410, 0.438-0.530; 0.144, 0.103-0.201) in sensitivity analysis. ROC curve analysis revealed an area under curve (AUC) of 0.691 for PNI and the cut-off value of PNI was 40.162.

conclusionPNI was negatively correlated with the risk of PE in twin pregnancies, which may help in risk assessment for twin pregnancies. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Nutritional StatusNutrition AssessmentPre-EclampsiaPregnancy, TwinAdultCase-Control StudiesChinaFemaleHumansPregnancyPregnancy Trimester, ThirdPrognosisRetrospective StudiesRisk FactorsROC CurveMultivariable logistic regressionPreeclampsiaPrognostic nutritional indexThe random forest algorithmTwin pregnancies

Identifiers

PMID40369512
PMCPMC12076915

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