Multidisciplinary Observational Study with Artificial Intelligence on Diagnosis, Prognosis Prediction, and Treatment of Pneumonia for the Older Adults
Not Applicable
Recruiting
- Conditions
- pneumonia
- Registration Number
- JPRN-UMIN000049686
- Lead Sponsor
- The Jikei University School of Medicine
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Recruiting
- Sex
- All
- Target Recruitment
- 9000
Inclusion Criteria
Not provided
Exclusion Criteria
(1) Persons who refuse to participate in the research
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Severity (use of ventilator/noninvasive positive pressure ventilation with or without oxygen) and prognosis (survival and death of patients with pneumonia) 30 days after onset of pneumonia
- Secondary Outcome Measures
Name Time Method (1) Clinical characteristics of causative organisms (2) Clinical response to treatment according to the type of antimicrobial agent (body temperature chart and blood sample results to determine whether the patient is cured) (3) Length of hospitalization (days) (4) Functional prognosis (alternative nutrition, type of walking aids, cognitive symptoms, facility admission) (5) Sarcopenia and osteoporosis (dual energy X-ray absorptiometry DEXA, bioimpedance method BIA) (6) Agreement between artificial intelligence (AI) and physician prognosis (primary endpoint, functional prognosis) (7) AI assisted diagnosis of chest X-ray