Kelbich Petr, Vanaskova Eliska, Hrach Karel, Krejsek Jan, Smisko Frantisek, Hruskova Pavla, Hanuljakova Eva, Novotny Tomas
Department of Biomedicine and Laboratory Diagnostics, Faculty of Health Studies, Jan Evangelista Purkinje University and Masaryk Hospital, 401 13 Usti nad Labem, Czech Republic.
Department of Clinical Immunology and Allergology, Faculty of Medicine and University Hospital, Charles University in Prague, 500 03 Hradec Kralove, Czech Republic.
Biomedicines. 2024 Mar 16;12(3):667. doi: 10.3390/biomedicines12030667.
Neutrophils are frequently found in the cytological picture of synovial fluid in several joint pathologies, and a higher proportion of them can even wrongly indicate these cases as purulent inflammation. For reliable differentiation between purulent and non-purulent cases, we use the cytological energy analysis of the synovial fluid. Using this method, we examined 350 knee joint synovial fluid samples. Overall, we found that the percentage of neutrophils ranged between 20.0% and 50.0% in 44 (12.6%) cases and was above 50.0% in 231 (66.0%) cases. In the same group, only 85 (24.3%) highly anaerobic synovial fluid samples were evaluated as purulent inflammation, and another 17 (4.9%) cases were evaluated as very likely purulent inflammation. Further, we quantified the immediate risk of purulent inflammation using the "purulent score" (PS). Of the total of 350 samples, 103 (29.4%) cases were classified as having a very high risk of purulent inflammation (PS = 4), 53 (15.1%) cases were classified as having a significant risk of purulent inflammation (PS = 3), 17 (4.9%) cases were classified as having a moderate risk of purulent inflammation (PS = 2), and 75 (21.4%) cases were classified as having no immediate risk of purulent inflammation (PS = 1). Based on our results and analyses, the cytological energy analysis of synovial fluid is an effective method that can be used to detect and specify joint inflammation and the risk of septic arthritis development.
在几种关节病变的滑液细胞学图像中经常发现中性粒细胞,甚至较高比例的中性粒细胞会错误地将这些病例指示为脓性炎症。为了可靠地区分脓性和非脓性病例,我们使用滑液的细胞能量分析。使用这种方法,我们检查了350份膝关节滑液样本。总体而言,我们发现44例(12.6%)中性粒细胞百分比在20.0%至50.0%之间,231例(66.0%)中性粒细胞百分比高于50.0%。在同一组中,只有85份(24.3%)高度厌氧的滑液样本被评估为脓性炎症,另有17例(4.9%)被评估为极有可能是脓性炎症。此外,我们使用“脓性评分”(PS)对脓性炎症的即时风险进行了量化。在总共350个样本中,103例(29.4%)被分类为脓性炎症风险非常高(PS = 4),53例(15.1%)被分类为脓性炎症风险显著(PS = 3),17例(4.9%)被分类为脓性炎症风险中等(PS = 2),75例(21.4%)被分类为无脓性炎症即时风险(PS = 1)。根据我们的结果和分析,滑液的细胞能量分析是一种有效的方法,可用于检测和明确关节炎症以及脓毒性关节炎发展的风险。