滑膜液 D-乳酸盐--化脓性关节炎的病原体特异性生物标志物:一项前瞻性多中心研究。

IF 3.8 2区 医学 Q1 MEDICAL LABORATORY TECHNOLOGY
Svetlana Karbysheva, Paula Morovic, Petri Bellova, Marvin Sven Berger, Maik Stiehler, Sebastian Meller, Stephanie Kirschbaum, Philippe Lindenlaub, Armin Zgraggen, Michael Oberle, Michael Fuchs, Carsten Perka, Andrej Trampuz, Anna Conen
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引用次数: 0

摘要

目的:评估滑液生物标志物 D-乳酸盐诊断化脓性关节炎(SA)并与晶体诱导性关节炎(CA)、其他非感染性风湿性关节病(RD)和骨关节病(OA)鉴别的性能:方法:在德国和瑞士的不同中心对因关节疼痛而接受滑液抽吸的连续成年患者进行了前瞻性研究。采集的滑膜液进行培养、白细胞计数和分化、晶体检测以及 D-乳酸盐浓度检测。通过最大限度地提高灵敏度和特异性,采用尤登 J 统计法确定接收者操作特征曲线(ROC)上的最佳 D-乳酸盐临界值:结果:共纳入 231 名患者。39名患者患有SA,192名患者患有无菌性关节炎(56名患者患有OA,68名患者患有CA,68名患者患有RD)。SA患者滑膜液D-乳酸的中位浓度明显高于OA、CA和RD患者(p结论:滑膜液 D-乳酸在诊断 SA 方面表现出较高的性能,优于滑膜液白细胞计数。鉴于其灵敏度和特异性都很高,它既是筛查 SA 的有效工具,也是区分 SA 和 RD(尤其是 CA)的指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Synovial fluid D-lactate - a pathogen-specific biomarker for septic arthritis: a prospective multicenter study.

Objectives: The performance of synovial fluid biomarker D-lactate to diagnose septic arthritis (SA) and differentiate it from crystal-induced arthritis (CA), other non-infectious rheumatic joint diseases (RD) and osteoarthrosis (OA) was evaluated.

Methods: Consecutive adult patients undergoing synovial fluid aspiration due to joint pain were prospectively included in different German and Swiss centers. Synovial fluid was collected for culture, leukocyte count and differentiation, detection of crystals, and D-lactate concentration. Youden's J statistic was used to determine optimal D-lactate cut-off value on the receiver operating characteristic (ROC) curve by maximizing sensitivity and specificity.

Results: In total 231 patients were included. Thirty-nine patients had SA and 192 aseptic arthritis (56 patients with OA, 68 with CA, and 68 with RD). The median concentration of synovial fluid D-lactate was significantly higher in patients with SA than in those with OA, CA, and RD (p<0.0001, p<0.0001 and p<0.0001, respectively). The optimal cut-off of synovial fluid D-lactate to diagnose SA was 0.033 mmol/L with a sensitivity of 92.3 % and specificity of 85.4 % independent of previous antimicrobial treatment. Sensitivity and specificity of synovial fluid leukocyte count at a cut-off of 20,000 cells/µL was 81.1 % and 80.8 %, respectively.

Conclusions: Synovial fluid D-lactate showed a high performance for diagnosing SA which was superior to synovial fluid leukocyte count. Given its high sensitivity and specificity, it serves as both an effective screening tool for SA and a differentiator between SA and RD, especially CA.

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来源期刊
Clinical chemistry and laboratory medicine
Clinical chemistry and laboratory medicine 医学-医学实验技术
CiteScore
11.30
自引率
16.20%
发文量
306
审稿时长
3 months
期刊介绍: Clinical Chemistry and Laboratory Medicine (CCLM) publishes articles on novel teaching and training methods applicable to laboratory medicine. CCLM welcomes contributions on the progress in fundamental and applied research and cutting-edge clinical laboratory medicine. It is one of the leading journals in the field, with an impact factor over 3. CCLM is issued monthly, and it is published in print and electronically. CCLM is the official journal of the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) and publishes regularly EFLM recommendations and news. CCLM is the official journal of the National Societies from Austria (ÖGLMKC); Belgium (RBSLM); Germany (DGKL); Hungary (MLDT); Ireland (ACBI); Italy (SIBioC); Portugal (SPML); and Slovenia (SZKK); and it is affiliated to AACB (Australia) and SFBC (France). Topics: - clinical biochemistry - clinical genomics and molecular biology - clinical haematology and coagulation - clinical immunology and autoimmunity - clinical microbiology - drug monitoring and analysis - evaluation of diagnostic biomarkers - disease-oriented topics (cardiovascular disease, cancer diagnostics, diabetes) - new reagents, instrumentation and technologies - new methodologies - reference materials and methods - reference values and decision limits - quality and safety in laboratory medicine - translational laboratory medicine - clinical metrology Follow @cclm_degruyter on Twitter!
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