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Respiratory Microbiota, Infection Characteristics and Imaging Manifestations in Patients With Chronic Airway Inflammation

First Affiliated Hospital of Ningbo University · 2025
ClinicalTrials.gov · Datasets · License: Public Domain · 2025
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asthmachronic-obstructive-pulmonary-disease
This study,Respiratory microbiota, infection characteristics and imaging manifestations in patients with chronic airway inflammation, adopted a prospective, observational, multi-omics study design to comprehensively evaluate the effects of respiratory microbiota, infection characteristics and imaging manifestations on disease outcomes and quality of life in patients with chronic airway inflammation. Involving six parallel sub-studies, These include: (1) the differences and mechanisms of lung microecology in ICS treatment sensitivity and resistance in patients with chronic airway inflammation, (2) the study of respiratory viral infection and inflammatory markers in patients with acute exacerbation of chronic obstructive pulmonary disease, (3) the effect of respiratory viral infection on the airway inflammation and disease severity of asthma in acute exacerbation, (4) the clinical significance of fungal infection in acute exacerbation of bronchiectasis, (5) the role of pulmonary function test and chest CT in predicting acute exacerbation of chronic obstructive pulmonary disease, and (6) the predictive value of baseline pulmonary function and radiomics in acute exacerbation of bronchiectasis, Each sub-study targeted a different study purpose and a specific patient population. All sub-studies followed uniform research principles, including scientificity, ethics, and consistency. All subjects were required to sign an informed consent form before enrollment to ensure that they understood the purpose, process, possible risks and privacy protection measures of the study. The study plans to enroll about 1,000 eligible patients covering chronic airway inflammatory diseases such as asthma, chronic obstructive pulmonary disease (COPD) and bronchiectasis. In this study, multi-omics techniques, including microbiome, metabolomics, radiomics, and transcriptomics, were used to comprehensively evaluate the effects of respiratory microbiota, infection characteristics, and imaging man
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