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Asian consensus on diagnostic algorithm for invasive pulmonary fungal diseases in high-burden settings
Wenjie Fang1, Xinyao Liu2, Hazrat Bilal3
1Shanghai Key Laboratory of Molecular Medical Mycology, Center for Basic Research and Innovation of Medicine and Pharmacy, Ministry of Education of the PRC, Shanghai Changzheng Hospital, Naval Medical University, Shanghai, China.
Abstract:
Invasive pulmonary fungal diseases (IPFD) continue to posing an increasing clinical and public health burden on immunocompromised populations. In many Asian settings, the diagnosis of IPFD faces substantial challenges driven by the high prevalence of comorbidities, including poorly controlled diabetes, tuberculosis (TB), and human immunodeficiency virus (HIV) infection, considerable heterogeneity in local pathogens, and disparities in access to diagnostic resources. To address these unmet needs, experts from 18 countries collaboratively developed this consensus, which provides a diagnostic algorithm tailored to high-burden Asian settings based on existing international and regional guidelines. When clinical manifestations are atypical or diagnostic clues are limited, the algorithm prioritizes evaluation for common and regionally prevalent IPFD, followed by stepwise expansion to other potential fungal pathogens. In addition, this consensus outlines the regional accessibility of different diagnostic modalities across Asia. This consensus focuses exclusively on optimization of the diagnostic algorithm and does not provide specific recommendations regarding antifungal therapy. Notably, improved diagnosis of IPFD through this algorithm may contribute to better patient outcomes and strengthened public health strategies in high-burden regions.
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