Evidence map›Paper›PMID 40698075›Full record

ArticleFrontiers in immunology2025

Relationship between lymphocyte-related parameters and the prognosis of patients with lupus nephritis.

Wenyi Qi, Rong Zhu, Xue Bai, Ping Luo, Manyu Luo

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Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers 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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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Wenyi QiThe Department of Nephropathy, The Second Hospital of Jilin University, Changchun, Jilin, China.
Rong ZhuThe Department of Nephropathy, The Second Hospital of Jilin University, Changchun, Jilin, China.
Xue BaiThe Department of Nephropathy, The Second Hospital of Jilin University, Changchun, Jilin, China.
Ping LuoThe Department of Nephropathy, The Second Hospital of Jilin University, Changchun, Jilin, China.
Manyu LuoThe Department of Nephropathy, The Second Hospital of Jilin University, Changchun, Jilin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The occurrence of lupus nephritis is primarily caused by the dysfunction of the autoimmune system, leading to the deposition of immune complexes (ICs) in the kidneys and associated inflammatory responses. Lymphocyte-related parameters, including the platelet to lymphocyte ratio (PLR), neutrophil to lymphocyte ratio (NLR), and monocyte to lymphocyte ratio (MLR), have been confirmed in recent years as important novel indicators for several inflammatory diseases. However, it remains unclear whether lymphocyte-related parameters can serve as prognostic indicators for lupus nephritis (LN). Methods: This study included a total of 143 LN patients, who were divided into several groups based on the optimal cutoff values of lymphocyte-related parameters. The primary endpoint was poor renal prognosis, and the patients' prognosis was monitored through follow-up, recording the time at which patients reached the study endpoint. The predictive effect was evaluated using the area under the receiver operating characteristic curve (AUROC), Kaplan-Meier (K-M) curves, and Cox proportional hazards analysis. Results: Compared with the healthy control group, the PLR, NLR, and MLR levels in the LN group were significantly higher (P < 0.05). Kaplan-Meier survival analysis showed that patients with high PLR, NLR, and MLR had poorer prognosis (P < 0.05). Univariate Cox regression analysis indicated that PLR ( Conclusion: MLR may serve as an independent risk factor for poor renal prognosis in SLE patients.

Indexed as

Lupus NephritisLymphocytesAdultBiomarkersBlood PlateletsFemaleHumansKaplan-Meier EstimateLymphocyte CountMaleMiddle AgedMonocytesNeutrophilsPrognosisROC CurveYoung AdultBiomarkerslupus nephritismonocyte to lymphocyte rationeutrophil to lymphocyte ratioplatelet to lymphocyte ratioprognosisretrospective cohort study

Identifiers

PMID40698075
PMCPMC12280367

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