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血小板/平均血小板体积能否准确诊断人工关节周围感染?揭示其实际诊断效能。

Can Platelets/Mean Platelet Volume Accurately Diagnose Periprosthetic Joint Infection? Revealing Their Actual Diagnostic Efficacy.

作者信息

Wang Xinjie, Zheng Zhongren, Wang Jialiang, Ma Hui, Wang Guodong, Zhao Xiaowei

机构信息

Department of Clinic Medicine, Jining Medical University, Jining, Shandong, 272067, People's Republic of China.

Department of Joint and Sports Medicine, Affiliated Hospital of Jining Medical University, Jining, Shandong, 272029, People's Republic of China.

出版信息

Infect Drug Resist. 2023 Nov 8;16:7155-7163. doi: 10.2147/IDR.S420323. eCollection 2023.

Abstract

BACKGROUND

Currently, there is no single test indicator for diagnosing periprosthetic joint infection (PJI) with an acceptable level of sensitivity. Therefore, ratio indicators have been introduced to improve the accuracy of diagnostic algorithms. Platelet count /mean platelet volume (PMR) is reported to be a potential PJI diagnostic biomarker, but its clinical value for diagnosing PJI is still uncertain. This study aims to provide additional evidence to support the effectiveness of PMR in accurately diagnosing PJI.

METHODS

This study recruited 116 patients with PJI and 137 patients with aseptic loosening, divided them into PJI group and AL group. Collect subjects' preoperative laboratory indicators such as ESR, CRP, PLT, MPV, etc. The area under the curve (AUC) was calculated by plotting the receiver operating characteristic (ROC) curve to determine the diagnostic efficacy of PMR.

RESULTS

ESR, CRP, PLT, and PLT/MPV were significantly increased in the PJI group, while MPV levels were decreased (both P< 0.001). The AUC of the PMR was 0.752, and the optimal cut-off value for diagnosing chronic PJI was determined to be 27.8 based on the Youden index. The sensitivity and specificity for diagnosing PJI were 79.3% and 47.9%, respectively, with a positive predictive value of 68.27%, a negative predictive value of 69.80%, and a diagnostic odds ratio of 4.97. The AUC (0.752) of the ratio biomarker was lower than that of ESR (0.825) and CRP (0.900). After predictive model calculation, the combination of PMR, CRP, and ESR had an AUC value of 0.910, with a sensitivity of 84.5% and a specificity of 84.7%, showing good discriminative ability.

CONCLUSION

Compared with traditional biomarkers ESR and CRP, the value of the PMR for diagnosing PJI is not significant, but it can be used as an auxiliary indicator for PJI diagnosis in combination with other indicators (P<0.001).

摘要

背景

目前,尚无单一的检测指标能以可接受的灵敏度诊断假体周围关节感染(PJI)。因此,已引入比值指标以提高诊断算法的准确性。据报道,血小板计数/平均血小板体积(PMR)是一种潜在的PJI诊断生物标志物,但其在诊断PJI中的临床价值仍不确定。本研究旨在提供更多证据支持PMR在准确诊断PJI方面的有效性。

方法

本研究招募了116例PJI患者和137例无菌性松动患者,将他们分为PJI组和AL组。收集受试者术前的实验室指标,如血沉(ESR)、C反应蛋白(CRP)、血小板计数(PLT)、平均血小板体积(MPV)等。通过绘制受试者工作特征(ROC)曲线计算曲线下面积(AUC),以确定PMR的诊断效能。

结果

PJI组的ESR、CRP、PLT及PLT/MPV显著升高,而MPV水平降低(均P<0.001)。PMR的AUC为0.752,根据约登指数确定诊断慢性PJI的最佳截断值为27.8。诊断PJI的灵敏度和特异度分别为79.3%和47.9%,阳性预测值为68.27%,阴性预测值为69.80%,诊断比值比为4.97。该比值生物标志物的AUC(0.752)低于ESR(0.825)和CRP(0.900)。经过预测模型计算,PMR、CRP和ESR联合的AUC值为0.910,灵敏度为84.5%,特异度为84.7%,显示出良好的判别能力。

结论

与传统生物标志物ESR和CRP相比,PMR对诊断PJI的价值不显著,但可与其他指标联合用作PJI诊断的辅助指标(P<0.001)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d862/10640817/856f2967be54/IDR-16-7155-g0001.jpg

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