Identification of distinct immunophenotypes in chronic pulmonary aspergillosis using cluster analysis.

ABSTRACT

BACKGROUND: Whether chronic pulmonary aspergillosis (CPA) has different immunophenotypes remains unknown. OBJECTIVE: To identify different CPA immunophenotypes using cluster analysis. METHODS: We used a subject-centred multivariate clustering approach without prior assumptions to identify CPA phenotypes. We retrospectively included the data of treatment-naïve subjects with CPA and excluded subjects with asthma and allergic bronchopulmonary aspergillosis (ABPA). We performed a scalable two-step cluster analysis using the log-likelihood distance measures to identify CPA phenotypes based on the blood immunological profile (total IgE, eosinophil count and Aspergillus-specific IgE and IgG). RESULTS: We included 351 CPA subjects and found two clusters. Cluster 2 (n = 118) had significantly higher serum total IgE, peripheral blood eosinophil count, and serum A. fumigatus-specific IgE and IgG than cluster 1 (n = 233). Cluster 2 subjects had a lower FEV1FVC ratio on spirometry and were more likely to have a fungal ball (88 [74.6%] vs. 145 (62.2%), p = .023) on the CT thorax than cluster 1. After treatment discontinuation, cluster 2 had a longer median (interquartile range) time to relapse than cluster 1 (11.5 [7.3-27.4] vs. 4 [1.1-8.9] months, p = .005). CONCLUSION: We identified two distinct CPA phenotypes, type-2 dominant and non-type-2, with different clinical and radiological findings and treatment outcomes. Future studies should confirm our findings and investigate different treatment strategies based on CPA phenotypes.