Evidence map›Paper›PMID 41293160›Full record

ArticleFrontiers in immunology2025

Neutrophil-to-lymphocyte ratio predicts inpatient gout recurrence: a large-scale multicenter retrospective cohort with machine-learning validation.

Hui Zhang, Jiani Liu, Ruifeng Lin, Danning Xie, Wenxia Lin, Qingqing Zhang, Fei Zhong, Shixian Chen, Qin Huang, Min Zhang and 11 more

Abstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

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 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

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors.

Hui Zhang *Department of Rheumatology and Immunology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Jiani Liu *Department of Rheumatology and Immunology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Ruifeng Lin *Department of Rheumatology and Immunology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Danning Xie *Department of Rheumatology and Immunology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Wenxia LinDepartment of Rheumatology and Immunology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Qingqing ZhangDepartment of Rheumatology and Immunology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Fei ZhongDepartment of Rheumatology and Immunology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Shixian ChenDepartment of Rheumatology and Immunology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Qin HuangDepartment of Rheumatology and Immunology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Min ZhangMedical College, Hunan University of Arts and Science, Changde, Hunan, China.
Yixin ChenThe First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, China.
Xiaoling ChenThe First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, China.
Zhipeng ChengThe First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, China.
Jiabao XuDepartment of Traditional Chinese Internal Medicine, School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, Guangdong, China.
Li CaiDepartment of Rheumatology and Immunology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Xinhao XiaThe First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, China.
Yaqi ChenThe First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, China.
Ziwen XuSchool of Integrated Traditional Chinese and Western Medicine, Guangzhou Medical University, Guangzhou, Guangdong, China.
Yi Yuan *Department of Rheumatology, Southern Medical University Hospital of Integrated Traditional Chinese and Western Medicine, Southern Medical University, Guangzhou, Guangdong, China.
Meng Li *Department of Rheumatology and Immunology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Juan Li *Department of Rheumatology and Immunology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The neutrophil-to-lymphocyte ratio (NLR) is an accessible marker of systemic inflammation. However, its prognostic value for inpatient gout recurrence, particularly in comparison with traditional biomarkers, remains unclear. This study aims to investigate the association of NLR with inpatient gout recurrence, and compare its performance with traditional markers. Methods: In this international, multicenter retrospective cohort study, hospitalized patients with gout were enrolled from the GoutRe cohort (China, 2010-2025) and MIMIC-IV cohort (USA, 2008-2019). Restricted cubic spline, Cox regression and competing risk models were deployed to visualize and assess the association of NLR with inpatient gout recurrence risk. Model performance was evaluated using the C-statistic, net reclassification improvement, and decision curve analysis. Multiple machine learning algorithms were employed for external validation. Results: Among 7,603 patients (GoutRe: 5,584; MIMIC-IV: 2,019), elevated NLR (>2.69) was independently associated with a higher inpatient gout recurrence risk (GoutRe: HR = 2.05; MIMIC-IV: HR = 2.84; both Conclusions: Elevated NLR is a robust, accessible biomarker independently associated with inpatient gout recurrence. Its integration into clinical risk models enhances prediction accuracy and supports personalized inpatient gout recurrence prevention strategies.

Indexed as

GoutLymphocytesMachine LearningNeutrophilsAdultAgedBiomarkersFemaleHumansInpatientsLeukocyte CountMaleMiddle AgedPrognosisRecurrenceRetrospective StudiesBiomarkersgoutmachine learningmodelneutrophil-to-lymphocyte ratiorecurrence

Identifiers

PMID41293160
PMCPMC12640940

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