Evidence map›Paper›PMID 41868919›Full record

ArticleAmerican journal of translational research2026

Threshold-dependent effect of the neutrophil-to-albumin ratio (NAR) in early pregnancy: a novel insight for preeclampsia risk prediction.

Wenshi Hu, Yanqiu Zhang, Wanyu Dong, Rong Wei, Tianxiang Zhu, Rushuang Deng, Longwei Qiao, Qiping Zheng

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Article in American journal of translational research, 2026. 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

8 authors.

Wenshi HuDepartment of Hematological Laboratory Science, Jiangsu Key Laboratory of Medical Science and Laboratory Medicine, School of Medicine, Jiangsu University Zhenjiang 212013, Jiangsu, China.
Yanqiu ZhangInstitute of Clinical Pharmacology, School of Pharmacy, Anhui Medical University; Key Laboratory of Anti-inflammatory and Immune Medicine (Anhui Medical University), Ministry of Education Hefei 230032, Anhui, China.
Wanyu DongDepartment of Hematological Laboratory Science, Jiangsu Key Laboratory of Medical Science and Laboratory Medicine, School of Medicine, Jiangsu University Zhenjiang 212013, Jiangsu, China.
Rong WeiDepartment of Hematological Laboratory Science, Jiangsu Key Laboratory of Medical Science and Laboratory Medicine, School of Medicine, Jiangsu University Zhenjiang 212013, Jiangsu, China.
Tianxiang ZhuDepartment of Hematological Laboratory Science, Jiangsu Key Laboratory of Medical Science and Laboratory Medicine, School of Medicine, Jiangsu University Zhenjiang 212013, Jiangsu, China.
Rushuang DengDepartment of Hematological Laboratory Science, Jiangsu Key Laboratory of Medical Science and Laboratory Medicine, School of Medicine, Jiangsu University Zhenjiang 212013, Jiangsu, China.
Longwei QiaoCenter for Reproduction and Genetics, School of Gusu, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Nanjing Medical University Suzhou 215002, Jiangsu, China.
Qiping ZhengDepartment of Hematological Laboratory Science, Jiangsu Key Laboratory of Medical Science and Laboratory Medicine, School of Medicine, Jiangsu University Zhenjiang 212013, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePreeclampsia (PE) is a major cause of adverse outcomes in pregnant, postpartum, and perinatal women; however, its early identification remains a clinical challenge, particularly in resource-scarce regions. The neutrophil-to-albumin ratio (NAR) reflects both systemic inflammatory response and nutritional status and has recently emerged as a promising early biomarker. This study aimed to investigate the association between NAR and subsequent PE risk and to compare its predictive efficacy with that of placental growth factor (PlGF) and mean arterial pressure (MAP).

methodsThis retrospective cohort study enrolled 11,916 pregnant women with a gestational age of < 14 weeks. Logistic regression, restricted cubic spline (RCS), and two-stage regression analyses were applied to assess the association between NAR and PE. The diagnostic performance of NAR, PlGF, and MAP was compared using receiver operating characteristic (ROC) curve analysis.

resultsAfter adjustment for maternal factors, elevated NAR was independently associated with an increased risk of PE (adjusted odds ratio [OR] = 2.04; 95% confidence interval [CI]: 1.42-2.92; P < 0.001). RCS analysis identified a nonlinear threshold at log-transformed NAR (LN[NAR]) = -1.92, beyond which PE risk increased sharply (OR = 4.26; 95% CI: 1.99-9.13). LN(NAR) and PlGF demonstrated comparable discriminative ability (area under the curve [AUC] = 0.591 vs. 0.605) but were inferior to MAP (AUC = 0.710). The correlation between NAR and PlGF was weak (r = 0.05).

conclusionElevated LN(NAR) is independently associated with PE in a threshold-dependent manner. In resource-limited settings, NAR may serve as a practical early PE biomarker for PE or as a component of multimodal prediction models.

Indexed as

Inflammatory markerprediction modelpreeclampsia

Identifiers

PMID41868919
PMCPMC13000856

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