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肝素结合蛋白和降钙素原在成年社区获得性肺炎患者病原体诊断中的应用:一项回顾性研究

Heparin-binding protein and procalcitonin in the diagnosis of pathogens causing community-acquired pneumonia in adult patients: a retrospective study.

作者信息

Cai Rentian, Li Huihui, Tao Zhen

机构信息

Department of Infectious Disease, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.

Department of Infectious Disease, Nanjing Medical University, Nanjing, China.

出版信息

PeerJ. 2021 Mar 12;9:e11056. doi: 10.7717/peerj.11056. eCollection 2021.

Abstract

The performance of inflammatory markers in community-acquired pneumonia (CAP) caused by different pathogens has not been fully studied. We sought to find the differences in the concentrations of procalcitonin (PCT) and heparin-binding protein (HBP) between patients with CAP caused by different pathogens. We enrolled 162 patients with CAP, divided into three groups on the basis of bacterial ( = 108), fungal ( = 21) and viral ( = 33) infection. Complete leukocyte counts and the concentration of HBP and PCT were measured, and the differences were compared with nonparametric tests. The receiver operating characteristic (ROC) curve was used to evaluate the significant differences in the sensitivity and specificity of the indicators. The leukocyte and neutrophils counts and the concentrations of HBP and PCT in the viral group were significantly lower than those in the other two groups ( < 0.001). The area under the ROC curve (AUC) of the concentration of HBP and PCT as well as leukocyte and neutrophils counts were 0.927, 0.892, 0.832 and 0.806 for distinguishing bacterial from viral infection, respectively. The best cut-off value was 20.05 ng/mL for HBP, with a sensitivity of 0.861 and specificity of 0.939. The best cut-off value was 0.195 ng/mL for PCT, with a sensitivity of 0.991 and specificity of 0.636. The best cut-off value was 5.195 × 10/L and 4.000 × 10/L for leukocyte and neutrophils counts, with sensitivity of 0.694 and 0.880 and specificity of 0.667 and 0.636, respectively. The AUC of HBP, PCT and leukocyte and neutrophil counts for distinguishing fungal from viral infection were 0.851, 0.883, 0.835 and 0.830, respectively. The best cut-off values were 29.950 ng/mL, 0.560 ng/mL, 5.265 × 10/L and 3.850 × 10/L, with sensitivity of 0.667, 0.714, 0.905 and 0.952 and specificity of 0.970, 0.879 0.667 and 0.606, respectively. There were no significant differences in the three indicators between the bacterial and fungal infection groups. The concentration of CRP showed no significant differences among the three groups. Consequently, the stronger immune response characterized by higher inflammation markers including HBP and PCT can help distinguish bacterial and fungal CAP from viral CAP.

摘要

不同病原体所致社区获得性肺炎(CAP)中炎症标志物的表现尚未得到充分研究。我们试图找出不同病原体所致CAP患者降钙素原(PCT)和肝素结合蛋白(HBP)浓度的差异。我们纳入了162例CAP患者,根据细菌感染(n = 108)、真菌感染(n = 21)和病毒感染(n = 33)分为三组。检测全白细胞计数以及HBP和PCT浓度,并采用非参数检验比较差异。采用受试者工作特征(ROC)曲线评估指标敏感性和特异性的显著差异。病毒感染组的白细胞、中性粒细胞计数以及HBP和PCT浓度显著低于其他两组(P < 0.001)。区分细菌感染与病毒感染时,HBP和PCT浓度以及白细胞和中性粒细胞计数的ROC曲线下面积(AUC)分别为0.927、0.892、0.832和0.806。HBP的最佳截断值为20.05 ng/mL,敏感性为0.861,特异性为0.939。PCT的最佳截断值为0.195 ng/mL,敏感性为0.991,特异性为0.636。白细胞和中性粒细胞计数的最佳截断值分别为5.195×10⁹/L和4.000×10⁹/L,敏感性分别为0.694和0.880,特异性分别为0.667和0.636。区分真菌感染与病毒感染时,HBP、PCT以及白细胞和中性粒细胞计数的AUC分别为0.851、0.883、0.835和0.830。最佳截断值分别为29.950 ng/mL、0.560 ng/mL、5.265×10⁹/L和3.850×10⁹/L,敏感性分别为0.667、0.714、0.905和0.952,特异性分别为0.970、0.879、0.667和0.606。细菌感染组和真菌感染组的这三项指标无显著差异。三组间C反应蛋白(CRP)浓度无显著差异。因此,以包括HBP和PCT在内的较高炎症标志物为特征的更强免疫反应有助于区分细菌性和真菌性CAP与病毒性CAP。

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