Real Time Early Warning Model and Mobile Medical Assistant System for the Impact of Air Pollution on AECOPD Disease

Peking University Third Hospital56 enrolled

Overview

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.

Study Type

OBSERVATIONAL

Enrollment

Conditions

COPD

Interventions

Types and exposure of different air pollutantsCOMBINATION_PRODUCT

Types and exposure of different air pollutants in COPD patients' living and working environment

Eligibility

Sex: ALLMin age: 40 YearsMax age: 80 Years

Medical Language ↔ Plain English

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.

Outcomes

Primary Outcomes

Frequency of acute exacerbations

Time frame: 1 year incidence rate

Data from ClinicalTrials.gov

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