宏基因二代测序对侵袭性肺曲霉菌病的诊断价值及风险因素分析
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安徽省高校自然科学研究项目(KJ2020A338);安徽理工大学青年教师科学研究基金项目(FYYB2021-03)


The diagnostic value and risk factor analysis of metagenomic next-generation sequencing in invasive pulmonary aspergillosis
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    摘要:

    目的 探讨肺泡灌洗液(BALF)宏基因组二代测序(mNGS)对诊断侵袭性肺曲霉病(IPA)的应用价值及其风险因素。方法 以临床综合诊断为金标准,将2020年1月—2024年6月安徽理工大学第一附属医院呼吸与危重症医学科收治110例疑似IPA患者分为IPA组45例和非IPA组65例,分析两组一般临床资料差异及常规方法(BALF和痰真菌培养、涂片镜检)与BALF mNGS对IPA的诊断效能;探讨mNGS曲霉菌阳性序列数阈值、胸部CT及支气管镜下征象对BALF mNGS结果的影响。结果 IPA组患糖尿病(28.9% vs7.7%)、影像学空气新月征(11.1% vs 0)、气道白色坏死物附着(13.3% vs0)明显高于非IPA组(P<0.05);以临床综合诊断为金标准,BALF mNGS灵敏度、特异度、阳性预测值、阴性预测值分别为84.44%、90.77%、86.36%、89.39%,Kappa值0.755(P<0.001),常规方法分别为44.44%、95.38%、86.96%、71.26%,Kappa值0.431(P<0.001);绘制ROC曲线,曲线下面积(AUC)为0.894(标准误差0.035;95%CI:0.825~0.962),曲霉序列数截断值为5,敏感度0.844,特异度0.908(P<0.001);多因素分析显示胸部CT病灶多发、气道新生物对BALF mNGS是否检出曲霉菌影响具有统计学意义(P<0.05)。结论 BALF mNGS对诊断IPA具有较高的诊断效能;曲霉序列数最佳截断值为5时诊断IPA的效能最高;胸部CT病灶多发、气道新生物提示BALF mNGS检出曲霉感染的机率增加

    Abstract:

    Objective To investigate the application value of pulmonary alveolar lavage fluid (BALF) metagenomic next-generation sequencing (mNGS) in the diagnosis of invasive pulmonary aspergillosis (IPA) and analyze the risk factors. Methods We divided 110 suspected IPA patients admitted to the respiratory and critical care department of our hospital from January 2020 to June 2024 into IPA group (n=45) and non-IPA group (n=65) based on the gold standard of clinical comprehensive diagnosis. We analyzed the differences in general clinical data between the two groups and the diagnostic efficacy of conventional methods (BALF and sputum fungal culture and smear examination) and BALF mNGS for IPA; we also explored the effects of mNGS Aspergillus sequence number threshold, chest CT findings, and bronchoscopic findings on the results of BALF mNGS.Results The incidence of diabetes mellitus (28.9% vs 7.7%), imaging air crescent sign (11.1% vs0), and white necrotic material adhering to the airway (13.3% vs 0) were significantly higher in the IPA group than in the non-IPA group (P<0.05). The sensitivity, specificity, positive predictive value, and negative predictive value of BALF mNGS were 84.44%, 90.77%, 86.36%, and 89.39%, respectively, with a Kappa value of 0.755 (P<0.001); the corresponding values for conventional methods were 44.44%, 95.38%, 86.96%, and 71.26%, with a Kappa value of 0.431 (P<0.001). The area under the ROC curve (AUC) was 0.894 (standard error 0.035; 95% CI:0.825~0.962), and the threshold value for Aspergillus sequence number was 5, with a sensitivity of 0.844 and a specificity of 0.908 (P value<0.001). Multivariate analysis showed that the presence of multiple lesions on chest CT and new lesions in the airway were statistically significant factors affecting the detection of Aspergillus by BALF mNGS (P value<0.05). Conclusion BALF mNGS has high diagnostic efficacy for IPA; the optimal cut-off value for Aspergillus sequences is 5, and the probability of detecting Aspergillus infection by BALF mNGS increases with the presence of multiple lesions on chest CT and new lesions in the airway

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  • 在线发布日期: 2026-01-19
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