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Neutrophil CD64 expression as a biomarker in the early diagnosis of bacterial infection: a meta-analysis

机译:中性粒细胞CD64表达作为细菌感染早期诊断中的生物标志物:一项荟萃分析

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Background: Neutrophil CD64 expression is widely reported as an efficacious biomarker to differentiate infected patients from other non-infected patients. This meta-analysis was conducted to comprehensively and quantitatively summarize the accuracy of neutrophil CD64 in the early diagnosis of bacterial infection. Methods: A systematic review of related studies was conducted, and the sensitivity, specificity, and other data about the accuracy of CD64 expression on neutrophils were pooled using random effects models with 95% confidence intervals (CI) as the effect measurements. Summary receiver operating characteristic (SROC) curves and the Q* value were also calculated in the meta-analysis. Heterogeneity was tested, as well as the publication bias. Potential sources of heterogeneity were explored by assessing whether or not certain covariates significantly influenced the summary diagnostic odds ratio (SDOR). Results: A total of 26 studies including 3944 patients met the inclusion criteria for the final analysis. The summary estimate was 0.76 (95% CI 0.74-0.78) for sensitivity and 0.85 (95% CI 0.83-0.86) for specificity. The positive likelihood ratio (PLR), negative likelihood ratio (NLR), SDOR, and area under the SROC of neutrophil CD64 expression with Q* value were 6.67 (95% CI 4.67-9.53), 0.24 (95% CI 0.18-0.31), 34.29 (95% CI 19.59-60.01), and 0.92 (Q*=0.85), respectively. The pooled data from the included studies had high heterogeneity and the Egger test suggested a publication bias. Conclusions: On the basis of our meta-analysis, neutrophil CD64 expression could be a promising and meaningful biomarker for diagnosing bacterial infection. Nevertheless, more large prospective studies should be carried out before the neutrophil CD64 test is used widely in the clinical setting because of the various cut-off values.
机译:背景:嗜中性粒细胞CD64表达被广泛报道为一种有效的生物标志物,可将感染的患者与其他未感染的患者区分开。进行这项荟萃分析,以全面,定量地总结嗜中性粒细胞CD64在细菌感染的早期诊断中的准确性。方法:对相关研究进行系统综述,并使用随机效应模型(95%置信区间(CI)作为效应指标)汇总敏感性,特异性和其他有关中性粒细胞CD64表达准确性的数据。在荟萃分析中还计算了接收器的工作特性曲线(SROC)和Q *值。测试了异质性以及发布偏见。通过评估某些协变量是否显着影响汇总诊断优势比(SDOR),探索了异质性的潜在来源。结果:共有26项研究(包括3944例患者)符合最终分析的纳入标准。汇总估计的敏感性为0.76(95%CI 0.74-0.78),特异性为0.85(95%CI 0.83-0.86)。具有Q *值的中性粒细胞CD64表达的正似然比(PLR),负似然比(NLR),SDOR和SROC下面积分别为6.67(95%CI 4.67-9.53),0.24(95%CI 0.18-0.31) ,34.29(95%CI 19.59-60.01)和0.92(Q * = 0.85)。来自纳入研究的汇总数据具有很高的异质性,Egger检验表明存在出版偏倚。结论:根据我们的荟萃分析,中性粒细胞CD64的表达可能是诊断细菌感染的有前途和有意义的生物标志物。但是,由于嗜中性粒细胞CD64检测的临界值各不相同,因此应在临床上广泛使用中性粒细胞CD64检测之前进行更大规模的前瞻性研究。

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