METHODS: This observational study involved 50 patients recruited from the neurosurgical ward. Method of 24 h dietary recall was utilized and combined with self-administered food diaries for 2-8 days. Food consumptions including calorie intake and protein intake were analyzed using Nutritionist PRO™ (Woodinville, USA) and manual calculation based on the Malaysian food composition database (2015).

RESULTS: Patients consisted of 56% males and 44% females with the median age of 28.0 (IQR = 22.8-36.5) years, of which 92% were diagnosed as mild TBI and the remaining (8%) as moderate TBI. The Glasgow coma scale (GCS) was adopted to classify TBI severity with the score 13-15 being mild and 9-12 being moderate. The median length of hospital stay was 2 (IQR = 2.0-3.3) days. Calorie and protein intake improved significantly from day 1 to discharge day. However, the intake during discharge day was still considered as suboptimal, i.e. 75% of calorie requirement, whilst the median protein intake was only 61.3% relative to protein requirement. Moreover, the average percentages of calorie and protein intakes throughout hospitalization were remarkably lower, i.e. 52.2% and 41.0%, respectively.

METHODS AND RESULTS: Data was sourced from participants in the Western Australian Pregnancy (Raine) Cohort Study. At 14 and 17 y, dietary intake, anthropometric and biochemical data were measured and z-scores for an 'energy dense, high fat and low fibre' DP were estimated using reduced rank regression (RRR). Associations between DP z-scores and cardiometabolic risk factors were examined using regression models. Tracking of DP z-scores was assessed using Pearson's correlation coefficient. A 1 SD unit increase in DP z-score between 14 and 17 y was associated with a 20% greater odds of high metabolic risk (95% CI: 1.01, 1.41) and a 0.04 mmol/L higher fasting glucose in boys (95% CI: 0.01, 0.08); a 28% greater odds of a high-waist circumference (95% CI: 1.00, 1.63) in girls. An increase of 3% and 4% was observed for insulin and HOMA (95% CI: 1%, 7%), respectively, in boys and girls, for every 1 SD increase in DP z-score and independently of BMI. The DP showed moderate tracking between 14 and 17 y of age (r = 0.51 for boys, r = 0.45 for girls).

BACKGROUND: Continuous effort has been made to identify patients at high risk of malnutrition, but monitoring and documentation of nutritional intake are relative less emphasized upon.

METHODS: A needs assessment through a cross-sectional study design was carried out at six hospitals in Yogyakarta, Indonesia. A self-administered semi-structured questionnaire was filled out by 111 respondents recruited from three different professions (nurses, dietitians and serving assistants) in the wards.

RESULTS: Seventy per cent of the respondents perceived that the current dietary assessment tool used to record patients' food intake was simple; however, the disadvantage of this tool was its tedious process of computing nutritional values of food consumed. Furthermore, more than half respondents encountered problems in conducting food intake record of patients, primarily due to limited number of human resources, followed by time constraints and perception that such dietary assessment as not part of their job scope.

DISCUSSION: This study has revealed important information in developing a simple, valid and reliable dietary assessment tool for monitoring food intake of hospitalized patients to be applied by interdisciplinary hospital professionals.

CONCLUSIONS: Awareness of the important on monitoring nutrient intake of patients should be emphasized among healthcare professionals. The current dietary assessment tool requires modification due to lengthy time taken to complete the task and poor accuracy in intake estimation.

METHODS: This is a post hoc analysis of a cluster-randomized clinical trial that assesses the effect of implementing a feeding protocol on mortality in critically ill patients. Patients who stayed in the ICUs for at least 7 days and received exclusive EN were included in this analysis. Multivariable Cox hazard regression models and restricted cubic spline models were used to assess the relationship between the different doses of EN delivery and 28-day mortality. Subgroups with varying lactate levels at enrollment were additionally analyzed to address the potential confounding effect brought in by the presence of shock-related hypoperfusion.

RESULTS: Overall, 1322 patients were included in the analysis. The median (interquartile range) daily energy and protein delivery during the first week of enrollment were 14.6 (10.3-19.6) kcal/kg and 0.6 (0.4-0.8) g/kg, respectively. An increase of 5 kcal/kg energy delivery was associated with a significant reduction (approximately 14%) in 28-day mortality (adjusted hazard ratio [HR] = 0.865, 95% confidence interval [CI]: 0.768-0.974, P = 0.016). For protein intake, a 0.2 g/kg increase was associated with a similar mortality reduction with an adjusted HR of 0.868 (95% CI 0.770-0.979). However, the benefits associated with enhanced nutrition delivery could be observed in patients with lactate concentration ≤ 2 mmol/L (adjusted HR = 0.804 (95% CI 0.674-0.960) for energy delivery and adjusted HR = 0.804 (95% CI 0.672-0.962) for protein delivery, respectively), but not in those > 2 mmol/L.

CONCLUSIONS: During the first week of critical illness, enhanced nutrition delivery is associated with reduced mortality in critically ill patients receiving exclusive EN, only for those with lactate concentration ≤ 2 mmol/L.