NCT04396522

Application of Serial Body Composition Change for Risk Prediction in Treating Patients With Severe Pneumonia

• Status: Completed
• Phase: —
• Study type: Observational
• Enrollment: 194 (actual)
• Sponsor: Chang Gung Memorial Hospital · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Not accepted

Summary

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.

Detailed description

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, …)

Conditions

• Pneumonia

Interventions

Type	Name	Description
DEVICE	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.

Timeline

• Start date: 2019-05-01
• Primary completion: 2023-01-09
• Completion: 2023-02-21
• First posted: 2020-05-20
• Last updated: 2023-09-06

Locations

1 site across 1 country: Taiwan

Regulatory

• FDA-regulated device study