Wu Chun-Wei, Wu Jiunn-Yih, Chen Chun-Kuei, Huang Shiau-Ling, Hsu Shou-Chien, Lee Meng-Tse Gabriel, Chang Shy-Shin, Lee Chien-Chang
Department of Emergency Medicine, Chang Gung Memorial Hospital, Taoyuan, Chang Gung University College of Medicine, Taoyuan, Taiwan.
Support Care Cancer. 2015 Oct;23(10):2863-72. doi: 10.1007/s00520-015-2650-8. Epub 2015 Feb 21.
The study aims to determine the usefulness of procalcitonin (PCT) and other blood markers for identification of bacterial infection among patients with febrile neutropenia (FN).
The Medline, EMBASE, and Cochrane databases were searched for articles from 1966 to December 2012. We performed a search to identify articles that examined the diagnostic accuracy of PCT in patients with FN. Statistical analyses (fixed- or random-effect models) were conducted to summarize and calculate the sensitivity, specificity, likelihood ratios, and 95 % confidence intervals (CIs).
Twenty-seven studies were included (1960 febrile episodes) for PCT analysis, 13 (1712 febrile episodes) for C-reactive protein (CRP) analysis, and five (314 febrile episodes) for interleukin (IL)-6 analysis. Increased PCT levels (odds ratio [OR] 11.5; 95 % CI 7.6 to 17.3), raised CRP levels (3.3; 2.7 to 4.2), and raised IL-6 levels (10.0; 5.5 to 18.0) were significantly associated with bacterial infection. Overall positive likelihood ratio was 5.49 (4.04-7.45) for PCT, 1.82 (1.42-2.33) for CRP, and 3.68 (2.41-5.60) for IL-6. Overall negative likelihood ratio was 0.40 (0.31-0.51) for PCT, 0.40 (0.26-0.61) for CRP, and 0.33 (0.23-0.46) for IL-6.
Of the three potentially useful markers, PCT had the best positive likelihood ratio and can be used to confirm the diagnosis of bacterial infections in patients with FN. Due to unacceptably high negative likelihood ratio, medical decision for stopping antibiotics based on PCT alone in this high-risk population may not be possible.
本研究旨在确定降钙素原(PCT)及其他血液标志物在发热性中性粒细胞减少症(FN)患者中识别细菌感染的效用。
检索Medline、EMBASE和Cochrane数据库1966年至2012年12月的文章。我们进行检索以识别研究FN患者中PCT诊断准确性的文章。进行统计分析(固定效应或随机效应模型)以总结并计算敏感性、特异性、似然比及95%置信区间(CI)。
纳入27项研究(1960次发热发作)进行PCT分析,13项(1712次发热发作)进行C反应蛋白(CRP)分析,5项(314次发热发作)进行白细胞介素(IL)-6分析。PCT水平升高(比值比[OR]11.5;95%CI 7.6至17.3)、CRP水平升高(3.3;2.7至4.2)及IL-6水平升高(10.0;5.5至18.0)与细菌感染显著相关。PCT的总体阳性似然比为5.49(4.04 - 7.45),CRP为1.82(1.42 - 2.33),IL-6为3.68(2.41 - 5.60)。PCT的总体阴性似然比为0.40(0.31 - 0.51),CRP为0.40(0.26 - 0.61),IL-6为0.33(0.23 - 0.46)。
在这三种可能有用的标志物中,PCT具有最佳的阳性似然比,可用于确诊FN患者的细菌感染。由于阴性似然比高得不可接受,在这一高危人群中仅基于PCT做出停用抗生素的医疗决策可能不可行。