Balato Giovanni, Franceschini Vincenzo, Ascione Tiziana, Lamberti Alfredo, Balboni Fiamma, Baldini Andrea
Department of Public Health, School of Medicine, Federico II University, Via S. Pansini, Naples, Italy.
Orthopedic Unit, IFCA Institute, Florence, Italy.
Arch Orthop Trauma Surg. 2018 Feb;138(2):165-171. doi: 10.1007/s00402-017-2832-6. Epub 2017 Nov 4.
This retrospective study was undertaken to define cut-off values for synovial fluid (SF) leukocyte count and neutrophil percentage for differentiating aseptic failure and periprosthetic joint infection (PJI) and to evaluate the diagnostic accuracy of blood inflammatory markers, and microbiological testing according to the criteria proposed by the International Consensus Meeting (ICM) of Philadelphia.
All patients who underwent revision total knee arthroplasty from January 2010 to July 2015 were included: we identified and classified 31 PJIs and 136 aseptic joints. The diagnostic performance of single test was assessed by receiver operating characteristic curve analyses. The sensitivity and specificity were calculated for each of the cut-off values and the area under the curve (AUC) was calculated.
The median SF leukocyte count as well as the neutrophil percentage and inflammatory markers were significantly higher in patients with PJI than in those with aseptic failure (p < 0.001). A leukocyte count of > 2.8 × 10/μL had a sensitivity of 83.8% and a specificity of 89.7% whereas a neutrophil percentage of > 72% yielded a marginally higher sensitivity of 84% and a specificity of 91%. Applying the ICM criteria we found a significant correlation between all these diagnostic measures and PJI (p < 0.001) except for a single positive culture. The most accurate criterion of the ICM was the synovial neutrophil differential (AUC = 0.89; 95% CI 0.81-0.97), followed by SF leukocyte count (AUC = 0.86; 95% CI 0.78-0.94), increased inflammatory markers (AUC = 0.85; 95% CI 0.76-0.93), and two positive periprosthetic cultures (AUC = 0.84; 95% CI 0.73-0.94). The presence of sinus tract communicating with the joint and a single positive culture showed unfavourable diagnostic accuracy (AUC = 0.60, 95% CI 0.47-0.72; AUC = 0.49, 95% CI 0.38-0.61, respectively) CONCLUSIONS: The present study highlights the adequate ability of fluid cell count and neutrophil differential to distinguish between PJI and aseptic loosening. The clinical utility of fluid analysis in diagnosing infection can be improved by evaluation of other diagnostic criteria.
Level I Diagnostic Study.
本回顾性研究旨在确定用于区分无菌性假体失败和假体周围关节感染(PJI)的滑液(SF)白细胞计数及中性粒细胞百分比的临界值,并根据费城国际共识会议(ICM)提出的标准评估血液炎症标志物及微生物检测的诊断准确性。
纳入2010年1月至2015年7月期间接受全膝关节翻修术的所有患者:我们识别并分类了31例PJI和136例无菌性关节。通过受试者操作特征曲线分析评估单项检测的诊断性能。计算每个临界值的敏感性和特异性,并计算曲线下面积(AUC)。
PJI患者的SF白细胞计数中位数、中性粒细胞百分比及炎症标志物均显著高于无菌性失败患者(p < 0.001)。白细胞计数>2.8×10⁹/μL时,敏感性为83.8%,特异性为89.7%;而中性粒细胞百分比>72%时,敏感性略高,为84%,特异性为91%。应用ICM标准,我们发现除单一阳性培养外,所有这些诊断指标与PJI之间均存在显著相关性(p < 0.001)。ICM最准确的标准是滑膜中性粒细胞分类(AUC = 0.89;95%CI 0.81 - 0.97),其次是SF白细胞计数(AUC = 0.86;95%CI 0.78 - 0.94)、炎症标志物升高(AUC = 0.85;95%CI 0.76 - 0.93)以及两个假体周围培养阳性(AUC = 0.84;95%CI 0.73 - 0.94)。与关节相通的窦道及单一阳性培养的诊断准确性不佳(AUC分别为0.60,95%CI 0.47 - 0.72;AUC为0.49,95%CI 0.38 - 0.61)。结论:本研究强调了细胞计数和中性粒细胞分类在区分PJI和无菌性松动方面的足够能力。通过评估其他诊断标准可提高液体分析在诊断感染中的临床实用性。
I级诊断研究。