Value of plasma metagenomic next-generation sequencing for the diagnosis of invasive aspergillosis: a multicenter-center retrospective study
Year: 2025
Type: article
Study design: Observational Study
Abstract: Introduction Invasive aspergillosis (IA) is a severe fungal infection. Metagenomic Next Generation Sequencing (mNGS) is abroad and highly sensitive pathogen detection method that can accurately differentiate fungi to the species, and even subspecies level. Methods To explore the value of plasma mNGSs in the diagnosis of invasive aspergillosis, a retrospective analysis was conducted on the clinical data of 334 patients with findings of Aspergillus spp. From mNGS from plasma at 4 hospitals, Zhejiang, from February 2021 to December 2022. The study analyzed risk factors, clinical manifestations, imaging features, microbiological results, and treatment outcomes of patients with Aspergillus infection. Results and discussion According to the diagnostic criteria for IA, among the 334 patients, there were 4 confirmed cases, 62 probable cases, 134 possible cases, and 134 false-positive cases. All 196 probable and possible cases exhibited risk factors, clinical manifestations, imaging features, and treatment outcomes consistent with Aspergillus infection. In 18 out of the 62 probable cases, the same Aspergillus nucleic acid was found in 2–4 peripheral blood mNGS samples collected at intervals of 17 days. The remaining 134 patients had detectable Aspergillus in plasma mNGS but lacked high-risk factors and clinical characteristics of Aspergillus infection, and there was a lack of other microbiological evidence, determined as false positives. Among the cases included in this study, the positive predictive value of plasma mNGS for diagnosing invasive aspergillosis was 59.9%. Plasma mNGS detection has significant reference value for diagnosing IA. However, comprehensive judgment should still be made in conjunction with clinical features.
Authors: Xiaomai Wu, Wei Wang, Liang Xu, Wei Zhou, Jianying Zhou, Hua Zhou
Language: English
Subfield: Infectious Diseases
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,801
Award: G2327137755
OpenAlex ID: W4416458231
