Department of Orthopedics, the First Medical Centre, Chinese PLA General Hospital, Beijing, China.
Department of Orthopedics, the Fourth Medical Centre, Chinese PLA General Hospital, Beijing, China.
Bone Joint J. 2021 Jan;103-B(1):32-38. doi: 10.1302/0301-620X.103B1.BJJ-2019-1479.R3.
The aim of this study was to further evaluate the accuracy of ten promising synovial biomarkers (bactericidal/permeability-increasing protein (BPI), lactoferrin (LTF), neutrophil gelatinase-associated lipocalin (NGAL), neutrophil elastase 2 (ELA-2), α-defensin, cathelicidin LL-37 (LL-37), human β-defensin (HBD-2), human β-defensin 3 (HBD-3), D-dimer, and procalcitonin (PCT)) for the diagnosis of periprosthetic joint infection (PJI), and to investigate whether inflammatory joint disease (IJD) activity affects their concentration in synovial fluid.
We included 50 synovial fluid samples from patients with (n = 25) and without (n = 25) confirmed PJI from an institutional tissue bank collected between May 2015 and December 2016. We also included 22 synovial fluid samples aspirated from patients with active IJD presenting to Department of Rheumatology, the first Medical Centre, Chinese PLA General Hospital. Concentrations of the ten candidate biomarkers were measured in the synovial fluid samples using standard enzyme-linked immunosorbent assays (ELISA). The diagnostic accuracy was evaluated by receiver operating characteristic (ROC) curves.
BPI, LTF, NGAL, ELA-2, and α-defensin were well-performing biomarkers for detecting PJI, with areas under the curve (AUCs) of 1.000 (95% confidence interval, 1.000 to 1.000), 1.000 (1.000 to 1.000), 1.000 (1.000 to 1.000), 1.000 (1.000 to 1.000), and 0.998 (0.994 to 1.000), respectively. The other markers (LL-37, HBD-2, D-dimer, PCT, and HBD-3) had limited diagnostic value. For the five well-performing biomarkers, elevated concentrations were observed in patients with active IJD. The original best thresholds determined by the Youden index, which discriminated PJI cases from non-PJI cases could not discriminate PJI cases from active IJD cases, while elevated thresholds resulted in good performance.
BPI, LTF, NGAL, ELA-2, and α-defensin demonstrated excellent performance for diagnosing PJI. However, all five markers showed elevated concentrations in patients with IJD activity. For patients with IJD, elevated thresholds should be considered to accurately diagnose PJI. Cite this article: 2021;103-B(1):32-38.
本研究旨在进一步评估十种有前途的滑膜生物标志物(杀菌/通透性增加蛋白(BPI)、乳铁蛋白(LTF)、中性粒细胞明胶酶相关脂质运载蛋白(NGAL)、中性粒细胞弹性蛋白酶 2(ELA-2)、α-防御素、cathelicidin LL-37(LL-37)、人β-防御素(HBD-2)、人β-防御素 3(HBD-3)、D-二聚体和降钙素原(PCT))在诊断假体周围关节感染(PJI)中的准确性,并探讨炎症性关节病(IJD)活动是否会影响滑膜液中这些标志物的浓度。
我们纳入了 2015 年 5 月至 2016 年 12 月期间从机构组织库收集的 50 例有(n=25)和无(n=25)确诊 PJI 的患者的滑膜液样本。我们还纳入了 22 例来自中国人民解放军总医院风湿科就诊的活动性 IJD 患者的滑膜液样本。使用标准酶联免疫吸附试验(ELISA)在滑膜液样本中测量十种候选生物标志物的浓度。通过接收者操作特征(ROC)曲线评估诊断准确性。
BPI、LTF、NGAL、ELA-2 和α-防御素是检测 PJI 的表现良好的生物标志物,曲线下面积(AUC)分别为 1.000(95%置信区间,1.000 至 1.000)、1.000(1.000 至 1.000)、1.000(1.000 至 1.000)、1.000(1.000 至 1.000)和 0.998(0.994 至 1.000)。其他标志物(LL-37、HBD-2、D-二聚体、PCT 和 HBD-3)的诊断价值有限。对于五种表现良好的生物标志物,在活动性 IJD 患者中观察到浓度升高。最初由 Youden 指数确定的最佳截断值可区分 PJI 病例与非 PJI 病例,但无法区分 PJI 病例与活动性 IJD 病例,而升高的截断值则可获得良好的性能。
BPI、LTF、NGAL、ELA-2 和α-防御素在诊断 PJI 方面表现出色。然而,所有五种标志物在 IJD 活动患者中均显示出浓度升高。对于 IJD 患者,应考虑升高的阈值以准确诊断 PJI。引用本文:2021;103-B(1):32-38。