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Multidisciplinary Observational Study with Artificial Intelligence on Diagnosis, Prognosis Prediction, and Treatment of Pneumonia for the Older Adults

Multidisciplinary Observational Study with Artificial Intelligence on Diagnosis, Prognosis Prediction, and Treatment of Pneumonia for the Older Adults - Multidisciplinary Observational Study with Artificial Intelligence on Diagnosis, Prognosis Prediction, and Treatment of Pneumonia for the Older Adults

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
JPRN
Registry ID
JPRN-UMIN000049686
Enrollment
9000
Registered
2022-12-04
Start date
2022-10-25
Completion date
Unknown
Last updated
2026-06-29

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

Conditions

pneumonia

Interventions

None listed

Sponsors

The Jikei University School of Medicine
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Pneumonia group (1) Patients with a history of pneumonia in the past (2) Those who are 65 years of age or older at the time of onset of pneumonia. (3) Those who goes to hospital regularly or day-care center. Non-pneumonia group (1) Those who have no history of pneumonia in the past. (2) Patients who are 65 years old or older at the time of their last visit to a hospital or nursing care facility. (3) Those who goes to hospital regularly or day-care center.

Exclusion criteria

Exclusion criteria: (1) Persons who refuse to participate in the research

Design outcomes

Primary

MeasureTime frame
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

MeasureTime frame
(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

Countries

Japan

Contacts

Public ContactNaoto Ozaki

The Jikei University School of Medicine Department of Rehabilitation Medicine

nozakiame@jikei.ac.jp03-3433-1111

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Jul 3, 2026