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Development of AECOPD Identification Tool (DETECT Study)

A Diagnostic Test to Develop an AECOPD Identification Tool Through Characteristic Variables Extracted From Diagnosed AECOPD Patients

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT03556475
Enrollment
300
Registered
2018-06-14
Start date
2020-04-28
Completion date
2021-01-18
Last updated
2022-04-22

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Acute Exacerbations of COPD

Brief summary

This study is an observational, multi-center and cross sectional study,to develop an identification tool on purpose of differentiating COPD exacerbation from patients with respiratory symptoms in community hospitals of China.

Detailed description

This is an observational, multi-center and cross-sectional study to develop an AECOPD identification tool. Estimated totally 7 tertiary hospitals with experts in respiratory area will be involved as the study sites. These study sites will cover the regions of China (Eastern, Southern, Northern, Central, Western and Northeastern region), to be representative for the patient features all over the country. The patients will be enrolled in a consecutive way, which is, the investigators will recruit the patients who are eligible and consented to participate in this study without personal tendency. For the enrolled patients, a face to face visit between investigator and patient will be arranged. The evaluation for the symptoms and signs will be performed and the relevant data will be collected on the visit. In addition, other relevant tests (e.g. oxygen saturation, blood test, CAT, etc) and data (demographic, medical history, etc) will be collected on this visit.

Interventions

None listed

Sponsors

AstraZeneca
Lead SponsorINDUSTRY

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Healthy volunteers
No

Inclusion criteria

-≥ 40 years old of age. * Able to adequately understand written and verbal * A signed and dated written informed consent must be obtained prior to the visits * Patients see doctors due to suffering respiratory disease below: Disease type 1 - diagnosed moderate and severe stable COPD * Patients with a diagnosis of COPD and documented record with predicted ratio of FEV1 to forced vital capacity (FVC) \< 0.70 before the study visit * COPD with moderate to severe airflow obstruction (FEV1\<0.8 predicted) Disease type 2 - AECOPD * Patients with a diagnosis of COPD and documented record with predicted ratio of FEV1 to forced vital capacity (FVC) \< 0.70 before the study visit * Patients consult the clinic or the emergency department because of acute worsening with an AECOPD (diagnosed by more than 2 clinical experts and refer to diagnosis criteria of Appendix 2) Disease type 3 -Non-COPD patients with chronic respiratory symptoms such as cough, sputum and wheeze, dyspnea etc. (≥2 high risk factors )

Exclusion criteria

* Patients with severe cardiovascular disease, including uncontrolled hypertension with drug treatment, unstable angina, myocardial infarction within the last 6 months, NYHA class II congestive heart failure, severe arrhythmia, pericardial effusion, etc. * Patients with lung cancer, esophageal cancer or mediastinal tumors; * Patients who participated in any drug clinical trials within 4 weeks before enrollment; * Patients with severe infection, indicated for intravenous antibiotics, antifungal or antiviral therapy; * Patients suffering from mental illness and poor compliance; * Patients inappropriate for inclusion decided by investigator.

Design outcomes

Primary

MeasureTime frameDescription
Sensitivity(Sen) & Specificity(Spe)Dec2017--Mar2020Each candidate factors will be tested and weighed. 6-8 factors are estimated to be identified and modelled to form AECOPD identification scale. The validity and efficacy of AECOPD identification tools will be assessed by internal verification.

Countries

China

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 13, 2026