Critical Illness Clinical Trial
Official title:
Association Between Malnutrition and Hospital Mortality and Duration of Intensive Care Unit Admission in the Critically Ill: a Prospective Singapore Cohort Study
Previous studies have demonstrated the direct associations between malnutrition and hospital mortality as well as the length of stay in critically ill patients. However, the validity of these results may be limited by inappropriate diagnoses of malnutrition, small sample size, possible treatment bias, and sub-optimal statistical adjustment. This study aimed to further examine the aforementioned associations by addressing these limitations.
Design:
- Prospective cohort study
Setting:
- 35-bedded integrated intensive care/ high dependency unit in Ng Teng Fong General
Hospital. Patients' status can be changed between ICU-status and HD-status within the
same ICU-/ HD-bed
Participants:
- All adult patients who will be admitted to the unit between August-2015 to October-2016
for ≥ 24 hours
Intervention:
Nil. Given the observational nature of this study, no attempt will be made to standardize
care, including nutritional practices.
Measurement:
- As per routine care, a validated nutritional assessment tool [7-point Subjective Global
Assessment (7-point SGA)] will be used to determine patients' nutritional status within
48 hours of ICU admission
- The primary outcomes will be hospital mortality and ICU length of stay. To measure
hospital mortality, all patients will be followed until hospital discharge or death for
up to one year after ICU admission. For ICU length of stay (in days), duration will be
measured from the date of the first ICU admission to the date of the first change in
ICU-status to HD-status or discharge to the general ward
Analysis:
- Modified Cox regression model with robust variance and logistic regression will be used
to determine the associations between nutritional status and hospital mortality.
Analyses will be conducted in two ways: 1) presence versus absence of malnutrition, and
2) dose-dependent association for each 1-point decrease in the 7-point SGA
- Multiple linear regression will be applied to determine the associations between
nutritional status and ICU length of stay
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