This is a prospective, multicenter, observational cohort study enrolling approximately 4,000 subjects across about 50 centers, including patients with COPD (confirmed and suspected), asthma (confirmed and suspected), bronchiectasis, interstitial lung disease (ILD), upper airway obstruction (UAO), and healthy controls. Participants will undergo standardized clinical assessments, cough search, FENO, ETCO2, impulse oscillometry, spirometry, and/or bronchodilator test, and/or bronchoprovocation test, and/or diffusion capacity test at a single baseline visit, with no investigational intervention or treatment assignment. The primary objective is to evaluate the diagnostic performance of portable impulse oscillometry in Chronic respiratory diseases and to develop an artificial intelligence diagnostic model for COPD based on oscillometry. The study duration per subject is limited to the screening/baseline visit, with no follow-up visits planned.
Study Type
OBSERVATIONAL
Enrollment
4,000
To evaluate the performance of a diagnostic model for COPD based on oscillometry
Area Under the Receiver Operating Characteristic (ROC) Curve (AUC) with others(such sensitivity, specificity, Youden's index, accuracy, positive predictive value, and negative predictive value) for individual or combination of any parameters of oscillometry for COPD
Time frame: one day
To evaluate the performance of a diagnostic model for COPD based on oscillometry with questionaires and/or cough search and/or Feno and/or ETCO2 etc.
Area Under the Receiver Operating Characteristic (ROC) Curve (AUC) with others(such sensitivity, specificity, Youden's index, accuracy, positive predictive value, and negative predictive value) for individual or combination of any parameters of oscillometry with questionaires and/or cough search and/or FeNO and/or ETCO2 etc.for COPD
Time frame: one day
To evaluate the performance of a diagnostic model for asthma based on with/without questionaires and/or cough search and/or Feno etc.
Area Under the Receiver Operating Characteristic (ROC) Curve (AUC) with others(such sensitivity, specificity, Youden's index, accuracy, positive predictive value, and negative predictive value) for individual or combination of any parameters of oscillometry with/without questionaires and/or cough search and/or Feno etc. for asthma
Time frame: one day
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