Denyer Steven, Eikani Carlo, Sheth Monica, Schmitt Daniel, Brown Nicholas
Department of Orthopaedic Surgery and Rehabilitation, Loyola University Medical Center, Maywood, Illinois, USA.
Bone Jt Open. 2023 Nov 21;4(11):881-888. doi: 10.1302/2633-1462.411.BJO-2023-0094.R1.
The diagnosis of periprosthetic joint infection (PJI) can be challenging as the symptoms are similar to other conditions, and the markers used for diagnosis have limited sensitivity and specificity. Recent research has suggested using blood cell ratios, such as platelet-to-volume ratio (PVR) and platelet-to-lymphocyte ratio (PLR), to improve diagnostic accuracy. The aim of the study was to further validate the effectiveness of PVR and PLR in diagnosing PJI.
A retrospective review was conducted to assess the accuracy of different marker combinations for diagnosing chronic PJI. A total of 573 patients were included in the study, of which 124 knees and 122 hips had a diagnosis of chronic PJI. Complete blood count and synovial fluid analysis were collected. Recently published blood cell ratio cut-off points were applied to receiver operating characteristic curves for all markers and combinations. The area under the curve (AUC), sensitivity, specificity, and positive and negative predictive values were calculated.
The results of the analysis showed that the combination of ESR, CRP, synovial white blood cell count (Syn. WBC), and polymorphonuclear neutrophil percentage (PMN%) with PVR had the highest AUC of 0.99 for knees, with sensitivity of 97.73% and specificity of 100%. Similarly, for hips, this combination had an AUC of 0.98, sensitivity of 96.15%, and specificity of 100.00%.
This study supports the use of PVR calculated from readily available complete blood counts, combined with established markers, to improve the accuracy in diagnosing chronic PJI in both total hip and knee arthroplasties.
人工关节周围感染(PJI)的诊断具有挑战性,因为其症状与其他病症相似,且用于诊断的标志物敏感性和特异性有限。最近的研究表明,使用血细胞比率,如血小板与体积比(PVR)和血小板与淋巴细胞比(PLR),可提高诊断准确性。本研究的目的是进一步验证PVR和PLR在诊断PJI中的有效性。
进行回顾性研究,以评估不同标志物组合诊断慢性PJI的准确性。共有573例患者纳入研究,其中124例膝关节和122例髋关节被诊断为慢性PJI。收集全血细胞计数和滑液分析数据。将最近公布的血细胞比率截断点应用于所有标志物及其组合的受试者工作特征曲线。计算曲线下面积(AUC)、敏感性、特异性以及阳性和阴性预测值。
分析结果显示,红细胞沉降率(ESR)、C反应蛋白(CRP)、滑液白细胞计数(Syn.WBC)、多形核中性粒细胞百分比(PMN%)与PVR的组合在膝关节诊断中AUC最高,为0.99,敏感性为97.73%,特异性为100%。同样,对于髋关节,该组合的AUC为0.98,敏感性为96.15%,特异性为100.00%。
本研究支持使用通过现成的全血细胞计数计算得出的PVR,并结合已有的标志物,以提高全髋关节和膝关节置换术中慢性PJI的诊断准确性。