Application of Serial Body Composition Change for Risk Prediction in Treating Patients With Severe Pneumonia
NCT ID: NCT04396522
Last Updated: 2023-09-06
Study Results
Results pending
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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Recruitment Status
COMPLETED
Total Enrollment
194 participants
Study Classification
OBSERVATIONAL
Study Start Date
2019-05-01
Study Completion Date
2023-02-21
Brief Summary
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We hypothesize that serial changes of body composition in patients with pneumonia can help clinician to monitor prognosis. It was associated with underlying immune response.
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Detailed Description
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Specific aims:
1. Can serial body composition data be useful for predicting outcomes of patients with pneumonia? (developing sepsis, organ failure, admission to ICU, length of ICU, survival, length of stay in hospital, prolonged mechanical ventilation,..)
2. Can serial body composition data be integrated into both immune status alternatives (e.g., white blood cell (WBC) count, segment/monocyte ratio, pulse pressure) in such critical illness and monitoring responses (SOFA score, labs) for severe pneumonia patients?
3. Can serial body composition data reflect clinical variables in patients with pneumonia, and even altered by nutrition intake? (e.g., compare association between nutrition intake amount and groups stratified by body composition, blood pressure, nutritional intake, …)
1. Can serial body composition data be useful for predicting outcomes of patients with pneumonia? (developing sepsis, organ failure, admission to ICU, length of ICU, survival, length of stay in hospital, prolonged mechanical ventilation,..)
2. Can serial body composition data be integrated into both immune status alternatives (e.g., white blood cell (WBC) count, segment/monocyte ratio, pulse pressure) in such critical illness and monitoring responses (SOFA score, labs) for severe pneumonia patients?
3. Can serial body composition data reflect clinical variables in patients with pneumonia, and even altered by nutrition intake? (e.g., compare association between nutrition intake amount and groups stratified by body composition, blood pressure, nutritional intake, …)
Conditions
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Pneumonia
Study Design
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Observational Model Type
COHORT
Study Time Perspective
PROSPECTIVE
Interventions
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noninvasively Bio-electrical Impedance Analysis (BIA)
By means of noninvasively Bio-electrical Impedance Analysis (BIA) to measure body composition, which divides body weight into different components such as lean body mass and fat mass.
Intervention Type
DEVICE
Eligibility Criteria
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Inclusion Criteria
Adult patients with pneumonia admitted to the thoracic ward or medical intensive care unit of Kaohsiung Chang Gung Memorial Hospital
Exclusion Criteria
\-
Minimum Eligible Age
18 Years
Eligible Sex
ALL
Accepts Healthy Volunteers
No
Sponsors
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Chang Gung Memorial Hospital
OTHER
Sponsor Role
lead
Responsible Party
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Responsibility Role
SPONSOR
Principal Investigators
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WEN-FENG Fang
Role: PRINCIPAL_INVESTIGATOR
Locations
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Kaohsiung Chang Gung Memorial Hospital
Kaohsiung City, , Taiwan
Site Status
Countries
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Taiwan
References
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Other Identifiers
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201900375B0
Identifier Type: -
Identifier Source: org_study_id
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