ArticleFrontiers in cellular and infection microbiology2026
Integrative diagnosis of invasive pulmonary aspergillosis in non-neutropenic patients using BALF-tNGS-derived
Article in Frontiers in cellular and infection microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- Research trends in COPD-associated invasive pulmonary aspergillosis over the past two decades: a bibliometric and topic modelling analysis.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026Review
- Beyond detection: quantitative interpretation ofFrontiers in cellular and infection microbiology · 2026Article
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10 authors.
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Abstract
Background: Diagnosing invasive pulmonary aspergillosis (IPA) in non-neutropenic patients is challenging because of non-specific manifestations and limited diagnostic tools. Targeted next-generation sequencing (tNGS) of bronchoalveolar lavage fluid (BALF) enables rapid pathogen detection; however, its capacity for quantitative assessment of fungal load remains unclear. This study integrated BALF-tNGS fungal load with host risk factors to develop a diagnostic nomogram for IPA in non-neutropenic patients. Methods: Non-neutropenic adults with suspected IPA were retrospectively enrolled at three tertiary hospitals (December 2020-December 2024). IPA was classified according to consensus definitions. Normalized Aspergillus reads from BALF-tNGS were stratified into low, medium, and high tiers. Clinical, radiological, and microbiological variables were analyzed, and a multivariable logistic regression model was built and internally validated via bootstrapping. Diagnostic performance was assessed using receiver operating characteristic analysis. Results: Among 238 patients, 134 had IPA and 104 had non-IPA. Compared with non-IPA cases, patients with IPA had higher rates of diabetes (73.9%), corticosteroid exposure (87.3%), bacterial co-infection (94.8%), and intensive care unit (ICU) admission (72.4%) (all Conclusion: Integrating BALF-tNGS-derived normalized
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