NCT06685315

Research on the Characteristics of Chronic Airway Diseases (asthma, COPD)

Research on the Syndrome Characteristics of Chronic Airway Diseases (asthma, Chronic Obstructive Pulmonary Disease) Based on Intelligent Algorithm Fusion of Phenotype Omics

• Status: Not Yet Recruiting
• Phase: —
• Study type: Observational
• Enrollment: 10,545 (estimated)
• Sponsor: Henan University of Traditional Chinese Medicine · Academic / Other
• Sex: All
• Age: 12 Years – 80 Years
• Healthy volunteers: Not accepted

Summary

This study will to investigate the correlation between the characteristics of the population with chronic airway diseases (asthma, chronic obstructive pulmonary disease) and syndromes, in order to reveal the disease and syndrome features of the population; Secondly, screening and identifying biomarkers for asthma and chronic obstructive pulmonary disease to provide a basis for precise prevention and treatment of the disease.

Detailed description

Chronic airway diseases are a group of non-specific chronic airway inflammatory diseases, with a heavy disease burden and serious harm to public health. Bronchial asthma and chronic obstructive pulmonary disease are the most common and representative chronic airway diseases, with significant clinical heterogeneity and unclear disease syndrome relationships. Clarifying the characteristics of asthma and chronic obstructive pulmonary disease populations, disease features, syndrome features, and their interrelationships is an important prerequisite for achieving personalized treatment and improving efficacy. Therefore, this study adopted a stratified random sampling clinical epidemiological survey method, selecting more than 10000 asthma and chronic obstructive pulmonary disease patients nationwide, and applying an optimized respiratory disease intelligent clinical research platform to collect patient population data (age, respiratory disease history, etc.), disease information (staging, grading, typing), and syndrome information (empirical, deficiency, and mixed syndrome). Using intelligent algorithms such as high-dimensional Bayesian optimization MCC-BO, T-distribution random nearest neighbor embedding, multidimensional correlation analysis, etc. to analyze the correlation between population characteristics and diseases and syndromes; Elucidate the correlation points between different stages, grades, types, and syndromes of asthma and chronic obstructive pulmonary disease. Using phenomics and adaptive multi omics global similarity fusion method to identify their biomarkers, further revealing the disease characteristics of asthma and chronic obstructive pulmonary disease populations, and guiding the precise treatment of traditional Chinese and Western medicine.

Conditions

• Asthma Bronchiale
• Chronic Obstructive Pulmonary Disease (COPD)

Interventions

Type	Name	Description
OTHER	Participants fill out the questionnaire	Participants fill out the questionnaire

Timeline

• Start date: 2024-12-01
• Primary completion: 2027-12-31
• Completion: 2028-07-31
• First posted: 2024-11-12
• Last updated: 2024-11-12