Clinical Research Directory

Early Diagnosis of Invasive Lung Aspergillosis

Sponsor: University Hospital Ostrava

Summary

The last decade has seen a significant increase in secondary Aspergillus infections, not only due to primary hypersensitivity, and immunodeficiency based on oncological diseases and their therapy, but mainly due to a rise in severe respiratory infections (H1N1, COVID-19, bacterial infections). This is most evident in critically ill patients whose life is threatened by invasive pulmonary aspergillosis (IPA), with over 90 % of cases being caused by Aspergillus fumigatus. In recent decades, various biomarkers with well-known limits of use (Aspergillus DNA, galactomannan, 1,3-ß-D-glucan) have been used for early diagnosis of IPA. However, the clinical need to clearly distinguish the onset of IPA from colonization is much more significant. The current biomarkers only provide "probable IPA" interpretation, and the diagnosis is rarely confirmed. Based on our preliminary studies, the use of new low molecular weight substances (secondary metabolites) combined with acute-phase proteins (pentraxin 3) allows very reliable immediate confirmation of IPA. In tissue samples, bronchoalveolar lavage fluid, endotracheal aspirate, breath condensate, serum, and urine of critically ill patients, the investigators will be able to recognize and confirm IPA in time using highly sensitive mass spectrometry detecting specific microbial siderophores in correlation with a significantly increased concentration of acute-phase host protein (pentraxin 3) within hours of the beginning of the invasion of lung tissue. Through a prospective multicentre study, the investigators will evaluate the benefit of new biomarkers in non-invasive IPA confirmation, improve the IPA diagnostic algorithm and transfer the detection method to MALDI-TOF spectrometers widely used in Clinical laboratories in the Czech Republic. In MALDI-TOF mass spectrometry, the ion source is matrix-assisted laser desorption/ionization (MALDI), and the mass analyser is a time-of-flight (TOF) analyser. The study results will contribute to a high clarity of IPA cases, the accurate introduction of antifungal therapy, and a better prognosis of survival of critically ill patients.

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