Evidence map›Paper›PMID 39898353›Full record

ArticleInfection and drug resistance2025

The Utility of Synovial Fluid Interleukin-10 in Diagnosing Chronic Periprosthetic Joint Infection: A Prospective Cohort Study.

Yinshuang Zou, Yaji Yang, Jianye Yang, Yanhao Zhang, Chen Zhao, Leilei Qin, Ning Hu

Abstract read
In one paragraph

Article in Infection and drug resistance, 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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0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yinshuang Zou *Department of Orthopedics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, People's Republic of China.
Yaji Yang *Department of Orthopedics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, People's Republic of China.
Jianye YangDepartment of Orthopedics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, People's Republic of China.
Yanhao ZhangNational Engineering Research Center of Immunological Products, Department of Microbiology and Biochemical Pharmacy, College of Pharmacy, Army Medical University, Chongqing, 400038, People's Republic of China.
Chen ZhaoDepartment of Orthopedics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, People's Republic of China.
Leilei QinDepartment of Orthopedics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, People's Republic of China.
Ning HuDepartment of Orthopedics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Diagnosing chronic periprosthetic joint infection (PJI) is challenging. Synovial fluid interleukin-10 (SF IL-10), an anti-inflammatory cytokine produced by leukocytes, plays a pivotal role in inflammation and infection regulation. However, limited research has explored the diagnostic potential of SF IL-10 in chronic PJI patients. Objective: The study aimed to investigate the relationship between SF IL-10 and incidence of chronic PIJ, and to evaluate its diagnostic reliability. Design and Methods: We analyzed data from 137 patients who underwent revision surgery for aseptic loosening or chronic PJI between 2017 and 2019 in our hospital. PJI diagnoses followed the 2013 International Consensus Meeting criteria. We measured serum ESR, serum CRP, SF PMN%, SF WBC and SF IL-10 levels, using logistic regression and receiver operating characteristic (ROC) curves to evaluate associations and diagnostic accuracy. Results: Demographic data showed no significant differences. However, SF IL-10 levels differed significantly between groups. Logistic regression indicated a strong association between SF IL-10 and chronic PJI (OR = 1.11, 95% CI 1.05~1.17, p < 0.001). At a cut-off of 10.305 pg/mL, SF IL-10 had an area under the ROC curve (AUC) of 0.891, with 92.16% sensitivity and 77.91% specificity. Adding SF IL-10 to traditional models improved risk prediction for chronic PJI (net reclassification improvement [NRI]: 0.167 [0.023 ~ 0.312]; integrated discrimination improvement [IDI]: 0.160 [0.096 ~ 0.224]). Conclusion: Higher SF IL-10 levels were significantly associated with chronic PJI in revision surgery patients, and incorporating SF IL-10 into the traditional risk model enhanced its predictive value for chronic PJI in these patients.

Indexed as

C-reactive proteinerythrocyte sedimentation rateinterleukin-10periprosthetic infectionsynovial fluid

Identifiers

PMID39898353
PMCPMC11786602

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