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临床试验/NCT04960410
NCT04960410已完成不适用

Real Time Early Warning Model and Mobile Medical Assistant System for the Impact of Air Pollution on Acute Exacerbation of Chronic Obstructive Pulmonary Disease

Peking University Third Hospital0 个研究点目标入组 56 人开始时间: 2017年1月1日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
入组人数
56
主要终点
Frequency of acute exacerbations

研究概览

简要总结

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.

详细描述

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.

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Prospective

入排标准

年龄范围
40 Years 至 80 Years(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • 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.

排除标准

  • 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.

结局指标

主要结局

Frequency of acute exacerbations

时间窗: 1 year incidence rate

Frequency of acute exacerbations

次要结局

未报告次要终点

研究者

申办方类型
Other
责任方
Sponsor

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