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

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

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.

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, …)

Inclusion Criteria:

Adult patients with pneumonia admitted to the thoracic ward or medical intensive care unit of Kaohsiung Chang Gung Memorial Hospital

Exclusion Criteria:

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