by Charles Chin Han Lew, Gabriel Jun Yung Wong, Ka Po
Cheung, Robert J. L. Fraser, Ai Ping Chua, Mary Foong Fong Chong and Michelle
Miller
Background
During the initial phase of critical illness, the
association between the dose of nutrition support and mortality risk may vary
among patients in the intensive care unit (ICU) because the prevalence of
malnutrition varies widely (28 to 78%), and not all ICU patients are severely
ill. Therefore, we hypothesized that a prognostic model that integrates
nutritional status and disease severity could accurately predict mortality risk
and classify critically ill patients into low- and high-risk groups.
Additionally, in critically ill patients placed on exclusive nutritional
support (ENS), we hypothesized that their risk categories could modify the
association between dose of nutrition support and mortality risk.
Methods
A prognostic model that predicts 28-day mortality was built
from a prospective cohort study of 440 patients. The association between dose
of nutrition support and mortality risk was evaluated in a subgroup of 252
mechanically ventilated patients via logistic regressions, stratified by low-
and high-risk groups, and days of exclusive nutritional support (ENS)
[short-term (≤ 6 days) vs. longer-term (≥ 7 days)]. Only the first 6 days
of ENS was evaluated for a fair comparison.
Results
The prognostic model demonstrated good discrimination [AUC
0.78 (95% CI 0.73–0.82), and a bias-corrected calibration curve suggested fair
accuracy. In high-risk patients with short-term ENS (≤ 6 days), each 10%
increase in goal energy and protein intake was associated with an increased
adjusted odds (95% CI) of 28-day mortality [1.60 (1.19–2.15) and 1.47
(1.12–1.86), respectively]. In contrast, each 10% increase in goal protein
intake during the first 6 days of ENS in high-risk patients with longer-term
ENS (≥ 7 days) was associated with a lower adjusted odds of 28-day mortality
[0.75 (0.57–0.99)]. Despite the opposing associations, the mean predicted
mortality risks and prevalence of malnutrition between short- and longer-term
ENS patients were similar.
Conclusions
Combining baseline nutritional status and disease severity
in a prognostic model could accurately predict 28-day mortality. However, the
association between the dose of nutrition support during the first 6 days of
ENS and 28-day mortality was independent of baseline disease severity and
nutritional status.
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