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临床试验/NCT06109974
NCT06109974已完成不适用

Evaluation of an Algorithm That Can Detect COPD by Intelligent Terminal Device

Peking University First Hospital5 个研究点 分布在 1 个国家目标入组 400 人开始时间: 2022年9月13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
400
试验地点
5
主要终点
The diagnostic accuracy of the algorithm for COPD

研究概览

简要总结

Chronic obstructive pulmonary disease (COPD) is one of the most common respiratory diseases. Early detection and treatment are critical to prevent the deterioration of COPD. In this study, we have established an algorithm that can detect and infer the severity of COPD from physiological parameters and audio data collected by wearable devices, and in this stage, we aim to evaluate the accuracy of this algorithm.

详细描述

The investigators have established an algorithm that can detect COPD from physiological parameters, coughing sounds, and forceful expiratory sounds collected by wearable devices. This study will test the accuracy of this algorithm.

In this study, 404 residents at high risk of COPD (COPD-PS score≥5) will be enrolled. Questionnaires related to COPD will be collected, subjects will undergo pulmonary function tests and electrocardiogram. Physiological parameters such as oxygen saturation and heart rate will be collected by a wearable device 3 times for 2 minutes each time, and coughing sound will be collected. As spirometry is the gold standard for the diagnosis of COPD, the accuracy of COPD diagnosis algorithm model by intelligent terminal devices will be verified.

The study protocol has been approved by the Peking University First Hospital Institutional Review Board (IRB) (2022-083). Any protocol modifications will be submitted for the IRB review and approval.

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
18 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Over the age of 18, no gender restrictions.
  • Participants at high risk of COPD (COPD-PS score ≥5).
  • Able to carry out daily activities and wear wearable devices.
  • Willing to participate in the study, willing to comply with the study protocol, and have the ability to sign informed consent.
  • Possess mobile communication equipment, which can meet the requirement of installing wearable device applications and recording function.

排除标准

  • Diagnosed with chronic respiratory diseases other than COPD, such as asthma, lung cancer, active tuberculosis, bronchiectasis and diffuse lung diseases (interstitial pneumonia, occupational lung disease, sarcoidosis, etc.).
  • lobectomy and/or lung transplantation, pleural disease.
  • Complicated with serious underlying diseases, including severe mental illness, intellectually impaired diseases, neurological disease (resulting in limb movement disorder), malignant tumor (PS score > 2), chronic liver disease (transaminase > 3 times the upper limit of normal), heart failure (NYHA> Grade 3), autoimmune disease, chronic kidney disease (CKD-5), unstable coronary artery disease, arrhythmia (atrial fibrillation, atrial flutter, severe ventricular arrhythmia), congenital heart disease, pulmonary hypertension, etc., or life expectancy of less than 6 months.
  • Malnutrition (BMI<18 kg/m2).
  • Bilateral wrist and hand edema, wrist soft tissue injury, inability to wear a watch/bracelet due to incomplete skin.
  • Dual upper limb pigmentation or abnormal blood supply (occlusion, thrombosis, trauma, etc.).

结局指标

主要结局

The diagnostic accuracy of the algorithm for COPD

时间窗: 1 year

The diagnostic accuracy of the algorithm for COPD

次要结局

  • The diagnostic sensitivity and specificity of the algorithm(1 year)
  • The diagnostic accuracy of COPD-PS score for COPD(1 year)

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Guangfa Wang

Prof. & MD.

Peking University First Hospital

研究点 (5)

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