Moldovan Flaviu
Orthopedics-Traumatology Department, Faculty of Medicine, George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Targu Mures, 540142 Targu Mures, Romania.
J Clin Med. 2024 Sep 25;13(19):5716. doi: 10.3390/jcm13195716.
: Periprosthetic joint infection (PJI) is a disastrous complication after joint replacement procedures as the diagnosis remains a significant challenge. The objective of this study is to assess the accuracy and test the interdependency of the proposed compound serum biomarkers for the diagnosis of PJI after total hip arthroplasties (THA). : From January 2019 to December 2023, 77 consecutive cases that underwent revision total hip arthroplasties (rTHA) were included in a single-retrospective, observational cohort study. A total of 32 arthroplasties were classified as having septic complications using the European Bone and Joint Infection Society (EBJIS) definition from 2021, while the other 45 cases were assigned as aseptic failures (AF). : In the univariate analysis between the two groups created, statistically significant differences ( < 0.005) were found for the following variables: time from primary arthroplasty to symptom onset (Time PA-SO), neutrophil count, Lymphocyte count, haematocrit level (HCT) and haemoglobin level (HGB), C-reactive protein (CRP), the neutrophil lymphocyte ratio (NLR), platelet lymphocyte ratio (PLR), monocyte lymphocyte ratio (MLR), systemic inflammation index (SII), systemic inflammation response index (SIRI), and aggregate inflammation systemic index (AISI). The ROC curve analysis showed that the SII (sensitivity 90.6% and specificity 62.2%) and the NLR (sensitivity 84.4% and specificity 64.4%) are the most accurate biomarkers. The multivariate analysis confirmed that NLR > 2.63 ( = 0.006), PLR > 147 ( = 0.021), MLR > 0.31 ( = 0.028), SII > 605.31 ( = 0.002), SIRI > 83.34 ( = 0.024), and AISI > 834.86 ( = 0.011) are all closely related to PJI diagnosis independently. : The proposed serum biomarkers can be correlated with PJI diagnosis with the reserve of relatively low specificities.
人工关节周围感染(PJI)是关节置换术后的灾难性并发症,因为其诊断仍然是一项重大挑战。本研究的目的是评估所提出的复合血清生物标志物在全髋关节置换术(THA)后诊断PJI的准确性,并测试它们之间的相互依赖性。:2019年1月至2023年12月,77例连续接受翻修全髋关节置换术(rTHA)的病例被纳入一项单回顾性观察队列研究。根据2021年欧洲骨与关节感染学会(EBJIS)的定义,共有32例关节置换术被归类为有感染性并发症,而其他45例被指定为无菌性失败(AF)。:在创建的两组之间的单变量分析中,发现以下变量存在统计学显著差异(<0.005):从初次关节置换术到症状出现的时间(Time PA-SO)、中性粒细胞计数、淋巴细胞计数、血细胞比容水平(HCT)和血红蛋白水平(HGB)、C反应蛋白(CRP)、中性粒细胞淋巴细胞比率(NLR)、血小板淋巴细胞比率(PLR)、单核细胞淋巴细胞比率(MLR)、全身炎症指数(SII)、全身炎症反应指数(SIRI)和综合炎症全身指数(AISI)。ROC曲线分析表明,SII(敏感性90.6%,特异性62.2%)和NLR(敏感性84.4%,特异性64.4%)是最准确的生物标志物。多变量分析证实,NLR>2.63(=0.006)、PLR>147(=0.021)、MLR>0.31(=0.028)、SII>605.31(=0.002)、SIRI>83.34(=0.024)和AISI>834.86(=0.011)均与PJI诊断独立密切相关。:所提出的血清生物标志物与PJI诊断相关,但特异性相对较低。