Dietitian and nutrition-related practices and resources in Australian and New Zealand PICUs: A clinician survey.

BACKGROUND: Recommendations to facilitate evidence-based nutrition provision for critically ill children exist and indicate the importance of nutrition in this population. Despite these recommendations, it is currently unknown how well Australian and New Zealand (ANZ) paediatric intensive care units (PICUs) are equipped to provide nutrition care. OBJECTIVES: The objectives of this project were to describe the dietitian and nutrition-related practices and resources in ANZ PICUs. METHODS: A clinician survey was completed as a component of an observational study across nine ANZ PICUs in June 2021. The online survey comprised 31 questions. Data points included reporting on dietetics resourcing, local feeding-related guidelines and algorithms, nutrition screening and assessment practices, anthropometry practices, and indirect calorimetry (IC) device availability and local technical expertise. Data are presented as frequency (%), mean (standard deviation), or median (interquartile range). RESULTS: Survey responses were received from all nine participating sites. Dietetics staffing per available PICU bed ranged from 0.01 to 0.07 full-time equivalent (median: 0.03 [interquartile range: 0.02-0.04]). Nutrition screening was established in three (33%) units, all of which used the Paediatric Nutrition Screening Tool. Dietitians consulted all appropriate patients (or where capacity allowed) in six (66%) units and on a request or referral basis only in three (33%) units. All units possessed a local feeding guideline or algorithm. An IC device was available in two (22%) PICUs and was used in one of these units. CONCLUSIONS: This is the first study to describe the dietitian and nutrition-related practices and resources of ANZ PICUs. Areas for potential improvement include dietetics full-time equivalent, routine nutrition assessment, and access to IC.

Nutrition provision in Australian and New Zealand PICUs: A prospective observational cohort study (ePICUre).

OBJECTIVES: The main aim of this study was to describe nutrition provision in Australian and New Zealand (ANZ) pediatric intensive care units (PICUs), including mode of nutrition and adequacy of enteral nutrition (EN) to PICU day 28. Secondary aims were to determine the proportion of children undergoing dietetics assessment, the average time to this intervention, and the methods for estimation of energy and protein requirements. METHODS: This observational study was conducted in all ANZ tertiary-affiliated specialist PICUs. All children ≤18 y of age admitted to the PICU over a 2-wk period and remaining for ≥48 h were included. Data were collected on days 1 to 7, 14, 21, and 28 (unless discharged prior). Data points included oral intake, EN and parenteral nutrition support, estimated energy and protein adequacy, and dietetics assessment details. RESULTS: We enrolled 141 children, of which 79 were boys (56%) and 84 were <2 y of age (60%). Thirty children (73%) received solely EN on day 7 with documented energy and protein targets for 22 (73%). Of these children, 14 (64%) received <75% of their estimated requirements. A dietetics assessment was provided to 80 children (57%), and was significantly higher in those remaining in the PICU beyond the median length of stay (41% in patients staying ≤4.6 d versus 72% in those staying >4.6 d; P < 0.001). CONCLUSIONS: This prospective study of nutrition provision across ANZ PICUs identified important areas for improvement, particularly in EN adequacy and nutrition assessment. Further research to optimize nutrition provision in this setting is urgently needed.

Effects of a Preoperative Carbohydrate Load on Postoperative Recovery in Children: A Randomised, Double-Blind, Placebo-Controlled Trial.

BACKGROUND: Nausea and vomiting are common causes for prolonged postoperative length of hospital stay (LOS) in children. A preoperative carbohydrate load may reduce postoperative nausea and vomiting by improving the perioperative metabolic state. The aim of this study was to determine if a preoperative carbohydrate-containing drink would lead to an improvement in the perioperative metabolic state and consequently reduce the incidence of postoperative nausea, vomiting and LOS in children undergoing day-case surgical procedures. METHOD: Randomised, double-blind, placebo-controlled trial involving children aged 4 to 16-years undergoing day-case surgical procedures. Patients were randomised to receive a carbohydrate-containing drink or a placebo. During the induction of anaesthesia, a venous blood gas, and blood glucose and ketone levels were measured. Postoperatively, the incidence of nausea, vomiting, and LOS were documented. RESULTS: 120 patients were randomised with 119/120 (99.2%) undergoing analysis. Blood glucose level was higher in the carbohydrate group; 5.4 mmol/L [3.3-9.4] versus 4.9 mmol/L [3.6-6.5] (p = 0.01). Blood ketone level was lower in the carbohydrate group; 0.2 mmol/L versus 0.3 mmol/L (p = 0.003). The incidence of nausea and vomiting was not different (p > 0.9 and p = 0.8, respectively). LOS in the carbohydrate group was 26 min shorter than the placebo group (p = 0.02). CONCLUSION: Although a preoperative carbohydrate load may provide a more stable metabolic state at the induction of anaesthesia, we did not find a reduction in postoperative nausea and vomiting. A preoperative carbohydrate load has also minimal effects on the postoperative LOS. TYPE OF STUDY: Randomised clinical trial. LEVEL OF EVIDENCE: I.

Methodological Rigor and Transparency in Clinical Practice Guidelines for Nutrition Care in Critically Ill Adults: A Systematic Review Using the AGREE II and AGREE-REX Tools.

Background: To evaluate the methodological quality of (1) clinical practice guidelines (CPGs) that inform nutrition care in critically ill adults using the AGREE II tool and (2) CPG recommendations for determining energy expenditure using the AGREE-REX tool. Methods: CPGs by a professional society or academic group, intended to guide nutrition care in critically ill adults, that used a systematic literature search and rated the evidence were included. Four databases and grey literature were searched from January 2011 to 19 January 2022. Five investigators assessed the methodological quality of CPGs and recommendations specific to energy expenditure determination. Scaled domain scores were calculated for AGREE II and a scaled total score for AGREE-REX. Data are presented as medians (interquartile range). Results: Eleven CPGs were included. Highest scoring domains for AGREE II were clarity of presentation (82% [76-87%]) and scope and purpose (78% [66-83%]). Lowest scoring domains were applicability (37% [32-42%]) and stakeholder involvement (46% [33-51%]). Eight (73%) CPGs provided recommendations relating to energy expenditure determination; scores were low overall (37% [36-40%]) and across individual domains. Conclusions: Nutrition CPGs for critically ill patients are developed using systematic methods but lack engagement with key stakeholders and guidance to support application. The quality of energy expenditure determination recommendations is low.

Prevalence of malnutrition, obesity and nutritional risk of Australian paediatric inpatients: a national one-day snapshot.

AIM: Low prevalence rates of malnutrition at 2.5% to 4% have previously been reported in two tertiary paediatric Australian hospitals. The current study is the first to measure the prevalence of malnutrition, obesity and nutritional risk of paediatric inpatients in multiple hospitals throughout Australia. METHODS: Malnutrition, obesity and nutritional risk prevalence were investigated in 832 and 570 paediatric inpatients, respectively, in eight tertiary paediatric hospitals and eight regional hospitals across Australia on a single day. Malnutrition and obesity prevalence was determined using z-scores and body mass index (BMI) percentiles. High nutritional risk was determined as a Paediatric Yorkhill Malnutrition Score of 2 or more. RESULTS: The prevalence rates of malnourished, wasted, stunted, overweight and obese paediatric patients were 15%, 13.8%, 11.9%, 8.8% and 9.9%, respectively. Patients who identified as Aboriginal and Torres Strait Islander were more likely to have lower height-for-age z-scores (P < 0.01); however, BMI and weight-for-age z-scores were not significantly different. Children who were younger, from regional hospitals or with a primary diagnosis of cardiac disease or cystic fibrosis had significantly lower anthropometric z-scores (P = 0.05). Forty-four per cent of patients were identified as at high nutritional risk and requiring further nutritional assessment. CONCLUSIONS: The prevalence of malnutrition and nutritional risk of Australian paediatric inpatients on a given day was much higher when compared with the healthy population. In contrast, the proportion of overweight and obese patients was less.