COPD, FEV1
Conditions
Keywords
COPD incidence, Decline in FEV1, Inflammatory biomarkers, EBC, microRNA-23a
Brief summary
This is a multi-center, prospective, cohort study. A total of 10,000 people aged 40～75 without lung disease will be recruited and followed for 3 years. By measure the rate of decline in forced expiratory volume at one second（FEV1） and baseline inflammatory biomarkers in exhaled breath condensate and peripheral blood, we aim to explore the predictive model for chronic obstructive pulmonary disease（COPD） in China.
Detailed description
This is a multi-center, prospective, cohort study. A total of 10,000 subjects aged 40～75 without history of lung disease will be recruited and followed for 3 years. The Department of Respiratory and Critical Care of Peking University First Hospital is responsible for this research. Other 9 units participating in the study, include the The Second Hospital of Hebei Medical University, Henan Provincial People's Hospital, The Second Hospital of Jilin University, The First Affiliated Hospital of Xi'an Jiaotong University, Shandong Provincial Hospital Affiliated to Shandong University,Shanxi Dayi Hospital, Tianjin Medical University General Hospital, The Affiliated Hospital of Inner Mongolia Medical University,The First Hospital of Qinhuangdao. Some questionnaire such as St George's Respiratory Questionnaire (SGRQ), income class, educational level, comorbidity, smoking habit and biomass smoke exposure history will be collected. The baseline level of Interleukin 6 (IL-6), high-sensitivity C-reactive Protein (hs-CRP), microRNAs-23a (miR-23a) in peripheral blood and pH value in exhaled breath condensate (EBC) will be measured, lung spirometry will be tested in the first, second and fourth years. Primary outcome is the incidence of COPD, multivariate regression analysis will be used to establish the predictive model for COPD in China. The study protocol has been approved by the Peking University First Hospital Institutional Review Board (IRB) (2018-31). Any protocol modifications will be submitted for the IRB review and approval.
Interventions
OTHERNo intervention
This is a multi-center,observational, prospective, cohort study. A total of 10,000 subjects aged 40～75 without history of lung disease will be recruited and followed for 3 years. So there is no intervention in this study.
Sponsors
The Second Hospital of Hebei Medical University
Henan Provincial People's Hospital
Second Hospital of Jilin University
First Affiliated Hospital Xi'an Jiaotong University
Shandong Provincial Hospital
Shanxi Dayi Hospital
Tianjin Medical University General Hospital
The Affiliated Hospital of Inner Mongolia Medical University
The First Hospital of Qinhuangdao
Peking University First Hospital
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
40 Years to 75 Years
Healthy volunteers
Yes
Inclusion criteria
1. aged at 40-75 years old; 2. FEV1/FVC\>70% after inhaled bronchodilator 3. have willing to participate in this study, follow the research program and have the ability to sign the informed consent; 4. lived in a community for more than 1 years and has no plans to move out in the next 4 years 5. can be contacted
Exclusion criteria
1. history of asthma, COPD, lung cancer, active pulmonary tuberculosis, bronchiectasis, diffuse lung disease (interstitial pneumonia, pulmonary sarcoidosis, occupational lung disease, sarcoidosis et al) and pleural disease; 2. history of lobectomy and / or lung transplantation; 3. predicted life expectancy less than 3 years; 4. history of severe psychiatric illnesses, mental disorders, neurological disorders, malignant tumors, chronic liver disease, heart failure, autoimmune diseases, chronic kidney disease; 5. Alcoholism, drug abuse or abuse of toxic solvents; 6. Cannot finish long term follow-up or poor compliance; 7. Do not provide consent
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| The incidence of COPD in the second and fourth year and the association between incidence of COPD and rapid decline of FEV1. | 4 years | FEV1/FVC(forced vital capacity)\<70% (after bronchial dilation test);Detect the decline of FEV1(%)by Vitalograph COPD6. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| The association between incidence of COPD and different comorbidity condition, such as metabolic syndrome, cardiovascular disease. | 4 years | Record comorbidity condition data of human subjects, and then analyze the correlation between the COPD incidence and different comorbidity condition. |
| The mean decline rate of FEV1 | 4 years | Monitor pulmonary function decline in the second and the fourth year, then calculate the mean decline value. |
| The correlation between the incidence of COPD and serum IL-6 level. | 4 years | Detect the serum IL-6 levels(ng/L), then analyze the correlation between the IL-6 levels and COPD incidence. |
| The correlation between the incidence of COPD and serum hs-CRP level. | 4 years | Detect the serum hs-CRP levels(ng/L), then analyze the correlation between the hs-CRP levels and COPD incidence. |
| The association between incidence of COPD and the air pollution level in different provinces in China. | 4 years | Record data of air pollution in different provinces in China from the environmental monitoring website. And analyze the correlation between the COPD incidence and air pollution level. |
| The association between the pH value of EBC and COPD incidence. | 4 years | Detect the EBC pH value, then analyze the correlation between the EBC pH value and COPD incidence. |
| The association between serum miR-23a level and COPD incidence. | 4 years | Detect the serum miR-23a level, then analyze the correlation between serum miR-23a level and COPD incidence. |
| The association between incidence of COPD and other factors. | 4 years | The association between incidence of COPD and other factors (smoking habit, biomass exposure history, eating habit and incoming class).The incidence of COPD in the second and fourth year and the association between incidence of COPD and other factors (smoking habit(has or does not, if has: accumulative total smoking amount), biomass exposure history(yes or no), eating habit(light or greasy) and incoming class(family income per capita \>¥4500, or not)). |
| The association between decline rate of FEV1 and air pollution level | 4 years | Record data of air pollution in different provinces in China from the environmental monitoring website. And analyze the correlation between the decline rate of FEV1 and air pollution level. |
Countries
China
Outcome results
None listed