We evaluated the usefulness of a serum Aspergillus PCR assay for the diagnosis and prognosis of invasive aspergillosis in a study involving 941 patients for a total of 5146 serum samples. Fifty-one patients had proven/probable aspergillosis. We compared galactomannan (GM), PCR and mycologic analysis of pulmonary samples in both neutropenic and nonneutropenic patients. PCR performed in serum yielded 66.7% sensitivity, 98.7% specificity, 75.6% positive predictive value and 98.0% negative predictive value, while the GM index yielded 78.4% sensitivity, 87.5% specificity, 27% positive predictive value and 98.6% negative predictive value. The inclusion of PCR in the European Organization for Research and Treatment of Cancer (EORTC) and the Mycosis Study Group (MSG) mycologic criteria permitted the reclassification of nine other cases from possible to probable aspergillosis and increased the sensitivity to 71.7%. Combining the GM index with serum PCR increased the detection rate of invasive aspergillosis with 88.2% sensitivity. PCR was systematically negative in 16 patients with noninvasive forms of aspergillosis (namely aspergilloma and chronic aspergillosis). Remaining PCR positive after a period of 14 to 20 days of treatment was related to poor outcome at 30 and 90 days. Our results also indicate that, unlike the determination of the GM index, the initial fungus load as determined by PCR was highly predictive of 90-day mortality, with the rate of the latter being 15.8% for patients with <150 copies/mL vs. 73.2% for patients at or above that cutoff (p <0.0001). Therefore, PCR appears to be a powerful and interesting tool for the identification of patients with invasive aspergillosis who might benefit from more intense care.
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http://dx.doi.org/10.1016/j.cmi.2016.01.027 | DOI Listing |
Microlife
December 2024
Department of Molecular and Applied Microbiology, Leibniz Institute for Natural Product Research and Infection Biology, Hans Knöll Institute (HKI), Adolf-Reichwein-Str. 23, 07745 Jena, Germany.
The polyene antimycotic amphotericin B (AmB) and its liposomal formulation AmBisome belong to the treatment options of invasive aspergillosis caused by . Increasing resistance to AmB in clinical isolates of species is a growing concern, but mechanisms of AmB resistance remain unclear. In this study, we conducted a proteomic analysis of exposed to sublethal concentrations of AmB and AmBisome.
View Article and Find Full Text PDFBMJ Case Rep
January 2025
Pulmonary, Critical Care and Sleep Medicine, ESICPGIMSR, New Delhi, Delhi, India.
Allergic bronchopulmonary aspergillosis (ABPA) is a disease of immunocompetent patients, and invasive pulmonary aspergillosis is seen in immunocompromised patients. Hence, pulmonary overlap syndrome presenting with ABPA and invasive aspergillosis is extremely rare. We report a case of well-controlled bronchial asthma who presented with acute exacerbation and hypoxaemic respiratory failure.
View Article and Find Full Text PDFCells
December 2024
Department of Dermatology, University Medical Center of the Johannes Gutenberg University, 55131 Mainz, Germany.
The mRNA-binding protein KSRP (KH-type splicing regulatory protein) is known to modulate immune cell functions post-transcriptionally, e.g., by reducing the mRNA stability of cytokines.
View Article and Find Full Text PDFis the etiologic agent of invasive aspergillosis, a life- threatening fungal pneumonia that is initiated by the inhalation of conidia (spores) into the lung. If the conidia are not cleared, they secrete large quantities of hydrolytic enzymes and toxins as they grow, resulting in extensive damage to pulmonary tissue. Stromal fibroblasts are central responders to tissue damage in many organs, but their functional response to pulmonary injury caused by has not been explored.
View Article and Find Full Text PDFMed Mycol
January 2025
National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
In clinical practice, differentiating among pulmonary mucormycosis (PM), invasive pulmonary aspergillosis (IPA), and pulmonary tuberculosis (PTB) can be challenging. This study aimed to evaluate the performance of chest CT-based artificial intelligence (AI) models in distinguishing among these three diseases. Patients with confirmed PM, IPA, or PTB were retrospectively recruited from three tertiary hospitals.
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