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Exhaled Breath Analysis in the Early Detection of Aspergillosis
Although the clinical outcome in patients with Invasive Aspergillosis (IA) is largely dependent on early initiation of effective treatment with antifungal drugs, diagnosing IA is still a critical problem. Symptoms are non-specific and available diagnostic tools are either invasive or have low sensitivity and specificity. This often results in a diagnostic delay, with patients developing more extensive disease. Furthermore, as long as IA is present, oncological follow-up treatment is not feasible. Inaccuracy in diagnosing IA can cause serious treatment delay and increased mortality. However, an empirical strategy with prophylactic anti-mould therapy is not feasible considering both possible side effects and costs. In order to safely continue the use of a pre-empirical strategy, improved (non-invasive) diagnostic tools are desirable. In a pilot study de Heer et al. showed that it is possible to discriminate between patients with IA and their neutropenic controls by exhaled breath analysis using an electronic nose (eNose). In this study the investigators aim to test whether an eNose could be useful as a diagnostic tool in a prospective setting. The gold standard in exhaled breath analysis is Gas Chromatography - Mass Spectrometry (GC-MS). This technique enables identification of volatile organic compounds (VOCs) in breath of patients. It is possible that there are Aspergillus specific VOCs in the breath of patients with IA. The composition of the lung microbiome seems to be an important factor in both health and disease. It is likely that the microbiome of the lung changes in prolonged neutropenia, therefore possibly creating a niche for molds and yeasts. Comparing the microbiome of patients with prolonged neutropenia who develop IA with those who do not, can learn us more about the pathogenesis of this disease. This knowledge could be used to investigate new treatment options for Invasive Aspergillosis. Hypothesis The investigators hypothesize that airway microbia
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