支气管肺泡灌洗
医学
移植
肺移植
真菌病
内科学
肺
胃肠病学
人口
试验预测值
免疫学
病理
环境卫生
作者
Wolfgang Mutschlechner,Brigitte Risslegger,Birgit Willinger,Martin Hoenigl,Brigitte Bucher,Stephan Eschertzhuber,Cornelia Lass‐Flörl
出处
期刊:Transplantation
[Ovid Technologies (Wolters Kluwer)]
日期:2015-02-24
卷期号:99 (9): e140-e144
被引量:39
标识
DOI:10.1097/tp.0000000000000635
摘要
In Brief Background Prompt diagnosis of invasive fungal infections (IFI) remains a challenge. (1,3)β-D-glucan detection in bronchoalveolar lavage (BAL) fluid by Fungitell assay aims to further improve upon the test's utility by directly applying it to specimens from the target organ. Methods A prospective multicenter analysis of the Fungitell assay was performed on BAL and serum samples obtained from nonselected solid-organ transplantation patients suffering from probable, proven or no IFI according to the revised criteria of the European Organisation for Research and Treatment of Cancer / Mycosis Study Group. Results Two hundred thirty-three BAL and 109 serum specimens from 135 patients with proven, probable, or no IFI were tested. Based on a 100 pg/mL: cutoff per test sensitivity, specificity, positive and negative predictive values were 79.2%, 38.5%, 27.6%, and 86.3% in BALs and 79.2%, 81.8%, 69.2%, and 83.1% in sera investigated. Conclusions The accuracy of the (1,3)β-D-glucan test is marginal so that its utility as a clinical test for early diagnosis of IFI is questionable in the lung transplant population. Although the high negative predictive value of the Fungitell assay in both, BALs and sera, may support exclusion of pulmonary IFI in solid-organ transplantation patients, the low positive predictive value limits its utility as a screening tool for early diagnosis of IFI. In a large series of lung allograft recipients, the performance characteristics of a serum and bronchoalveolar lavage fluid test for invasive fungal infections is tested. The test has high negative but low positive predictive value, limiting its overall utility in diagnosing these important infections.
科研通智能强力驱动
Strongly Powered by AbleSci AI