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NCT Number: NCT03532893

Predictive Value of Inflammatory Biomarkers and FEV1 for COPD

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.

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Key information

Age range

40 year–75 year

Sex eligibility

All sexes

Study type

Observational

Primary location

Peking University First Hospital, Beijing, Beijing Municipality, China

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About this study

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.

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • aged at 40-75 years old;
  • FEV1/FVC>70% after inhaled bronchodilator
  • have willing to participate in this study, follow the research program and have the ability to sign the informed consent;
  • lived in a community for more than 1 years and has no plans to move out in the next 4 years
  • can be contacted

Exclusion criteria

  • 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;
  • history of lobectomy and / or lung transplantation;
  • predicted life expectancy less than 3 years;
  • history of severe psychiatric illnesses, mental disorders, neurological disorders, malignant tumors, chronic liver disease, heart failure, autoimmune diseases, chronic kidney disease;
  • Alcoholism, drug abuse or abuse of toxic solvents;
  • Cannot finish long term follow-up or poor compliance;
  • Do not provide consent

Treatment and study plan

No intervention

Other

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.

Primary outcomes

  1. The incidence of COPD in the second and fourth year and the association between incidence of COPD and rapid decline of FEV1.

    Time frame: 4 years

    FEV1/FVC(forced vital capacity)<70% (after bronchial dilation test);Detect the decline of FEV1(%)by Vitalograph COPD6.

Secondary outcomes

  1. The association between incidence of COPD and the air pollution level in different provinces in China.

    Time frame: 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.

  2. The association between incidence of COPD and different comorbidity condition, such as metabolic syndrome, cardiovascular disease.

    Time frame: 4 years

    Record comorbidity condition data of human subjects, and then analyze the correlation between the COPD incidence and different comorbidity condition.

  3. The mean decline rate of FEV1

    Time frame: 4 years

    Monitor pulmonary function decline in the second and the fourth year, then calculate the mean decline value.

  4. The association between decline rate of FEV1 and air pollution level

    Time frame: 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.

  5. The correlation between the incidence of COPD and serum IL-6 level.

    Time frame: 4 years

    Detect the serum IL-6 levels(ng/L), then analyze the correlation between the IL-6 levels and COPD incidence.

  6. The correlation between the incidence of COPD and serum hs-CRP level.

    Time frame: 4 years

    Detect the serum hs-CRP levels(ng/L), then analyze the correlation between the hs-CRP levels and COPD incidence.

  7. The association between the pH value of EBC and COPD incidence.

    Time frame: 4 years

    Detect the EBC pH value, then analyze the correlation between the EBC pH value and COPD incidence.

  8. The association between serum miR-23a level and COPD incidence.

    Time frame: 4 years

    Detect the serum miR-23a level, then analyze the correlation between serum miR-23a level and COPD incidence.

  9. The association between incidence of COPD and other factors.

    Time frame: 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)).

Sponsors and collaborators

Lead sponsor

Peking University First Hospital

Other

Collaborators

  • First Affiliated Hospital Xi'an Jiaotong University
  • Henan Provincial People's Hospital
  • Second Hospital of Jilin University
  • Shandong Provincial Hospital
  • Shanxi Dayi Hospital
  • The Affiliated Hospital of Inner Mongolia Medical University
  • The First Hospital of Qinhuangdao
  • The Second Hospital of Hebei Medical University
  • Tianjin Medical University General Hospital

Registry information

Official study title

Predictive Value of Combining Inflammatory Biomarkers and Rapid Decline of FEV1 for COPD in Chinese Population - a Prospective Cohort Study

Acronym: PIFCOPD

Important dates

Study start
2018
Primary completion
2020
Study completion
2021
First posted
May 22, 2018
Registry last updated
Mar 29, 2022

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

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This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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