Chart review of patients with chronic obstructive pulmonary disease, using medical records and artificial intelligence
- Conditions
- Chronic obstructive pulmonary diseaseRespiratory
- Registration Number
- ISRCTN32473131
- Lead Sponsor
- SEPAR (Spanish Society Pneumology and Thoracic Surgery)
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Ongoing
- Sex
- All
- Target Recruitment
- 2500000
1. Subjects aged = 35 years old, smokers or former smokers of more than 10 pack-years
2. Had a diagnosis of COPD (a post-bronchodilator ratio forced expiratory volume in the first second [FEV1] / forced vital capacity [FVC] < 0.70, and the presence of respiratory symptoms such as cough, sputum, and dyspnoea)
3. Admitted for ‘‘respiratory disease’’ [respiratory infection or pleural effusion (OR) respiratory failure (OR) right/left heart failure (OR) chronic bronchitis (OR) bronchospasms (AND) [historical diagnosis of COPD (OR) a documented FEV1/FVC < 0.70 in the absence of other obstructive diseases, such as asthma or bronchiolitis]
Patients with a specific diagnosis upon admission of pulmonary oedema, pneumonia, radiological infiltration, pulmonary embolism, pneumothorax, rib fractures, aspiration, or any other associated respiratory or of non-respiratory condition, such as major cardiopathy with chronic heart failure, extended neoplasia, liver or kidney failure.
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method
- Secondary Outcome Measures
Name Time Method