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首页> 外文期刊>Journal of Clinical Microbiology >Detection of Airway Colonization by Aspergillus fumigatus by Use of Electronic Nose Technology in Patients with Cystic Fibrosis
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Detection of Airway Colonization by Aspergillus fumigatus by Use of Electronic Nose Technology in Patients with Cystic Fibrosis

机译:电子鼻技术检测烟曲霉在囊性纤维化患者中气道定植

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摘要

Currently, there is no noninvasive test that can reliably diagnose early invasive pulmonary aspergillosis (IA). An electronic nose (eNose) can discriminate various lung diseases through an analysis of exhaled volatile organic compounds. We recently published a proof-of-principle study showing that patients with prolonged chemotherapy-induced neutropenia and IA have a distinct exhaled breath profile (or breathprint) that can be discriminated with an eNose. An eNose is cheap and noninvasive, and it yields results within minutes. We determined whether Aspergillus fumigatus colonization may also be detected with an eNose in cystic fibrosis (CF) patients. Exhaled breath samples of 27 CF patients were analyzed with a Cyranose 320. Culture of sputum samples defined the A. fumigatus colonization status. eNose data were classified using canonical discriminant analysis after principal component reduction. Our primary outcome was cross-validated accuracy, defined as the percentage of correctly classified subjects using the leave-one-out method. The P value was calculated by the generation of 100,000 random alternative classifications. Nine of the 27 subjects were colonized by A. fumigatus. In total, 3 subjects were misclassified, resulting in a cross-validated accuracy of the Cyranose detecting IA of 89% (P = 0.004; sensitivity, 78%; specificity, 94%). Receiver operating characteristic (ROC) curve analysis showed an area under the curve (AUC) of 0.89. The results indicate that A. fumigatus colonization leads to a distinctive breathprint in CF patients. The present proof-of-concept data merit external validation and monitoring studies.
机译:当前,没有能够可靠地诊断早期侵袭性肺曲霉病(IA)的非侵入性测试。电子鼻(eNose)可以通过分析呼出的挥发性有机化合物来区分各种肺部疾病。我们最近发表了一项原理验证研究,结果表明长期化疗引起的中性粒细胞减少和IA的患者具有明显的呼出气特征(或呼吸印迹),可以用eNose加以区分。 eNose便宜且无创,可在数分钟内产生结果。我们确定是否还可以通过eNose在囊性纤维化(CF)患者中检测到烟曲霉的定植。用Cyranose 320分析了27名CF患者的呼出气样本。痰标本的培养确定了烟曲霉的定植状况。主成分减少后,使用规范判别分析对eNose数据进行分类。我们的主要结果是交叉验证的准确性,定义为使用留一法的正确分类受试者的百分比。 P 值是通过生成100,000个随机替代分类来计算的。 27名受试者中有9名被烟曲霉定殖。总共有3名受试者被错误分类,从而使Cyranose检测IA的交叉验证准确性为89%( P = 0.004;敏感性为78%;特异性为94%)。接收器工作特性(ROC)曲线分析显示曲线下面积(AUC)为0.89。结果表明,烟曲霉菌定植会导致CF患者出现独特的呼吸纹。目前的概念验证数据值得外部验证和监测研究。

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