Predictive Value of Inflammatory Biomarkers and FEV1 for COPD (PIFCOPD)

March 27, 2022 updated by: Guangfa Wang, Peking University First Hospital

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

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.

Study Overview

Status

Completed

Conditions

Intervention / Treatment

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.

Study Type

Observational

Enrollment (Actual)

10385

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Beijing
      • Beijing, Beijing, China, 100034
        • Peking University First Hospital
    • Hebei
      • Qinhuangdao, Hebei, China
        • The First Hospital of Qinhuangdao
      • Shijiazhuang, Hebei, China
        • The Second Hospital of Hebei Medical University
    • Henan
      • Zhengzhou, Henan, China
        • Henan Provincial People's Hospital
    • Inner Mongolia
      • Hohhot, Inner Mongolia, China
        • The Affiliated Hospital of Inner Mongolia Medical University
    • Jilin
      • Changchun, Jilin, China
        • The Second Hospital of Jilin University
    • Shandong
      • Jinan, Shandong, China
        • Shandong Provincial Hospital Affiliated to Shandong University
    • Shanxi
      • Taiyuan, Shanxi, China
        • The First Affiliated Hospital of Shanxi Medical University
      • Xi'an, Shanxi, China
        • The First Affiliated Hospital of Xi'an Jiaotong University
    • Tianjin
      • Tianjin, Tianjin, China
        • Tianjin Medical University General Hospital

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

40 years to 75 years (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

A total of 10,000 subjects aged 40~75 without history of lung disease will be recruited and followed for 3 years.

Description

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

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Cohort
  • Time Perspectives: Prospective

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
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.
4 years

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
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.
4 years
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.
4 years
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 years
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.
4 years
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.
4 years
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.
4 years
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.
4 years
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.
4 years
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)).
4 years

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

March 3, 2018

Primary Completion (Actual)

December 31, 2020

Study Completion (Actual)

October 9, 2021

Study Registration Dates

First Submitted

March 29, 2018

First Submitted That Met QC Criteria

May 21, 2018

First Posted (Actual)

May 22, 2018

Study Record Updates

Last Update Posted (Actual)

March 29, 2022

Last Update Submitted That Met QC Criteria

March 27, 2022

Last Verified

March 1, 2022

More Information

Terms related to this study

Other Study ID Numbers

  • 2017YFC1309500-1

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

No

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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