ArticleAdvanced biomedical research2023
Detection of Opportunistic Fungi from the Bronchoalveolar Lavage Specimens of Patients with Pulmonary Diseases.
Article in Advanced biomedical research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed, 1 citations in OpenAlex.
- Rapid and reliable diagnosis of mucormycosis using colorimetric loop-mediated isothermal amplification.Journal of clinical microbiology · 2026Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Opportunistic fungi are a constantly evolving group of pathogens that become active when the immune system is compromised, begin to multiply, and soon overwhelm the weakened immune system. This study was performed to evaluate the number of opportunistic fungi in bronchoalveolar lavage (BAL) samples of patients with pulmonary diseases. Materials and Methods: After receiving patients' consent and demographic forms, a total of 120 BAL samples were taken by a pulmonary physician. The etiologic agents were identified by standard morphological and molecular methods. Yeast cells were counted on culture media, and direct smears were precisely examined for the presence of yeasts elements, Results: In this study, 29 (24.1%) patients showed positive direct smears for yeast elements in their BAL samples. The mean colony count of yeasts was 42,000 (CFU/mL) on culture media. Six (5%) species of filamentous fungi, including three (2.5%) isolates of Conclusions: Due to the presence of a large number of fungi in the BAL samples and possible physical interference with the selected drugs for treatment, we draw the attention of pulmonologists to this important issue. Rapid diagnosis of fungal infections is essential to optimize treatments and outcomes.
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