Abstract：
Due to the limitations of traditional laboratory methods (TMs), identification of causative pathogens of numerous pulmonary infections (PIs) remains difficult. This study evaluated the value of metagenomic next generation sequencing (mNGS) in the identification of various respiratory pathogens. A total of 207 patients with TMs and mNGS data were collected for this retrospective study. TMs included sputum culture, blood, and bronchoalveolar lavage fluid (BALF) analysis, or polymerase chain reaction analysis of throat swabs. Otherwise, BALF was collected and analyzed using mNGS. For bacterial pathogens, sensitivities of mNGS as compared to TMs were 76.74 % and 58.14 % (P=0.012). For fungal pathogens, the detection rate of mNGS sensitivity was higher as compared to that of TMs (93.68 % vs 22.11 %; P<0.001). The positive predictive value and negative predictive value were also greater for mNGS. Use of mNGS for BALF analysis offers good specificity and thus facilitates to the clinical diagnosis of PIs.
摘要：
由于传统实验室方法(TM)的局限性，鉴定许多肺部感染（PIs）的病原体仍然很困难。本研究评估了宏基因组下一代测序（mNGS）在鉴定各种呼吸道病原体中的价值。这项回顾性研究共收集了207名患有TMs和mNGS数据的患者。TM包括痰培养，血,支气管肺泡灌洗液（BALF）分析，或咽喉拭子的聚合酶链反应分析。否则,收集BALF并使用mNGS分析。对于细菌病原体，mNGS与TMS的敏感性分别为76.74％和58.14％（P=0.012）。对于真菌病原体，mNGS的灵敏度高于TMs（93.68％vs22.11％；P<0.001）。mNGS的阳性预测值和阴性预测值也更大。使用mNGS进行BALF分析提供了良好的特异性，因此有助于PI的临床诊断。
