Trials / Unknown
UnknownNCT04183530
The Individualized Accurate Diagnosis and Treatment of Chronic Objective Pulmonary Disease(COPD) Patients Based on Multidimensional Data
The Individualized Accurate Diagnosis and Treatment, as Well as the Prevention of Acute Exacerbation of Chronic Objective Pulmonary Disease(COPD) Based on Multidimensional Data
- Status
- Unknown
- Phase
- —
- Study type
- Observational
- Enrollment
- 1,000 (estimated)
- Sponsor
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology · Academic / Other
- Sex
- All
- Age
- 18 Years – 90 Years
- Healthy volunteers
- Accepted
Summary
Chronic obstructive pulmonary disease (COPD) is known as progressive lung disease and the fourth leading cause of death worldwide. Despite valuable efforts, there is still no Individualized accurate diagnostic and prognostic tool for COPD. Hence, the investigators' research integrated multi-dimensional data of COPD patients, which may provide an invaluable bioinformatic resource for understanding the underlying molecular alterations that drive disease progression, with the goal of developing individualized accurate diagnostic and therapeutic inventions.
Detailed description
Chronic obstructive pulmonary disease (COPD) is known as progressive lung disease and the fourth leading cause of death worldwide. Acute exacerbations of COPD (AECOPD) is an important event of disease progression worsening in airway function and respiratory symptoms, bringing about respiratory failure, and increasing the rates of mortality. Despite valuable efforts, there is still no Individualized accurate diagnostic and prognostic tool for COPD. In this context, the investigators are to perform comprehensive transcriptomic, proteomic, metabonomic and exosome characterization of COPD patients and healthy controls. Biological samples of COPD participants, including blood, urine, stool, saliva, bronchoalveolar lavage fluid and clinical characteristics are going to be collected from the remaining materials of the routine clinical examination. And samples of healthy controls will be collected from the rest of the healthy examination practice. By integrating the multi-dimensional data, the investigators aim to elucidate the impact of molecular alterations driving phenotypic variation and to delineate the mechanisms of AECOPD for prospective exploration of personalized, precision-based clinical care.
Conditions
Timeline
- Start date
- 2019-10-16
- Primary completion
- 2022-10-16
- Completion
- 2024-12-30
- First posted
- 2019-12-03
- Last updated
- 2021-11-16
Locations
1 site across 1 country: China
Source: ClinicalTrials.gov record NCT04183530. Inclusion in this directory is not an endorsement.