COPD Clinical Trial
Official title:
Real Time Early Warning Model and Mobile Medical Assistant System for the Impact of Air Pollution on Acute Exacerbation of Chronic Obstructive Pulmonary Disease
NCT number | NCT04960410 |
Other study ID # | LM2018072 |
Secondary ID | |
Status | Completed |
Phase | |
First received | |
Last updated | |
Start date | January 1, 2017 |
Est. completion date | December 30, 2018 |
Verified date | July 2021 |
Source | Peking University Third Hospital |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Observational |
Objective to establish a real-time early warning model of acute exacerbation of chronic obstructive pulmonary disease (COPD) caused by air pollution, and develop the corresponding mobile medical assistant system. Through the cross fusion of existing information technology and medical research results, an auxiliary medical system is formed for information recording, tracking tools, early warning model and clinical diagnosis of patients with COPD.
Status | Completed |
Enrollment | 56 |
Est. completion date | December 30, 2018 |
Est. primary completion date | April 23, 2017 |
Accepts healthy volunteers | |
Gender | All |
Age group | 40 Years to 80 Years |
Eligibility | Inclusion Criteria: - Patients aged > 40 and < 80 years with post-bronchodilator FEV1/ forced vital capacity (FVC) < 0.7 and percentage predicted of FEV1>30%, who were no exacerbation of symptoms in the 6 weeks preceding the study, were included in the study. Exclusion Criteria: - Patients who were diagnosed with other chronic respiratory diseases, including bronchial asthma, bronchiectasis and lung abscess. - Patients with near-terminal illness, congestive heart failure (NYHA III-IV), or cannot record CAT score timely were excluded. |
Country | Name | City | State |
---|---|---|---|
n/a |
Lead Sponsor | Collaborator |
---|---|
Peking University Third Hospital | Beihang University |
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Frequency of acute exacerbations | Frequency of acute exacerbations | 1 year incidence rate |
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