Physicians' perceptions about managing enteral nutrition and the implementation of tools to assist in nutritional decision-making in a paediatric intensive care unit.

BACKGROUND: For critically ill children hospitalised in paediatric intensive care units, adequate nutrition reduces their risk of morbidity and mortality. Barriers may impede optimal nutritional support in this population. Moreover, physicians are usually responsible for prescribing nutrition, although they are not experts. Therefore, tools may be used to assist in nutritional decision-making, such as nutrition protocols. OBJECTIVES: The objective of this two-stage qualitative study was to explore the perceptions of physicians about their management of enteral nutrition in a paediatric intensive care unit and the implementation of a nutrition protocol and computerised system. METHODS: This study involved semistructured interviews with physicians at the Paediatric Intensive Care Unit of Lausanne University Hospital, Switzerland. Research dietitians conducted interviews before (stage one) and after (stage two) the implementation of a nutrition protocol and computerised system. During stage one, six junior physicians and five fellows were interviewed. At stage two, 12 junior physicians, 12 fellows, and five senior physicians were interviewed. Interviews were recorded, with data transcribed verbatim before a thematic analysis using a framework method. RESULTS: Three themes emerged from thematic analysis: "nutritional knowledge", "nutritional practices", and "resources to manage nutrition". During stage one, physicians, especially junior physicians, reported a lack of nutritional knowledge for critically ill children and stated that nutritional issues primarily depended on senior physicians, who themselves had various practices. All physicians were in favour of a nutrition protocol and computerised system. At stage two, interviewees stated that they used both tools regularly. They reported improved nutritional knowledge, more systematic and consistent nutritional practices, and increased attention to nutrition. CONCLUSIONS: The implementation of a nutrition protocol and computerised system by a multiprofessional team helped physicians in the paediatric intensive care unit to manage nutritional support and increase their attention to nutrition.

Performance of Predictive Equations Specifically Developed to Estimate Resting Energy Expenditure in Ventilated Critically Ill Children.

OBJECTIVE: To determine, based on indirect calorimetry measurements, the biases of predictive equations specifically developed recently for estimating resting energy expenditure (REE) in ventilated critically ill children, or developed for healthy populations but used in critically ill children. STUDY DESIGN: A secondary analysis study was performed using our data on REE measured in a previous prospective study on protein and energy needs in pediatric intensive care unit. We included 75 ventilated critically ill children (median age, 21 months) in whom 407 indirect calorimetry measurements were performed. Fifteen predictive equations were used to estimate REE: the equations of White, Meyer, Mehta, Schofield, Henry, the World Health Organization, Fleisch, and Harris-Benedict and the tables of Talbot. Their differential and proportional biases (with 95% CIs) were computed and the bias plotted in graphs. The Bland-Altman method was also used. RESULTS: Most equations underestimated and overestimated REE between 200 and 1000 kcal/day. The equations of Mehta, Schofield, and Henry and the tables of Talbot had a bias ≤10%, but the 95% CI was large and contained values by far beyond ±10% for low REE values. Other specific equations for critically ill children had even wider biases. CONCLUSIONS: In ventilated critically ill children, none of the predictive equations tested met the performance criteria for the entire range of REE between 200 and 1000 kcal/day. Even the equations with the smallest bias may entail a risk of underfeeding or overfeeding, especially in the youngest children. Indirect calorimetry measurement must be preferred.

Estimation of Resting Energy Expenditure Using Predictive Equations in Critically Ill Children: Results of a Systematic Review.

Provision of adequate energy intake to critically ill children is associated with improved prognosis, but resting energy expenditure (REE) is rarely determined by indirect calorimetry (IC) due to practical constraints. Some studies have tested the validity of various predictive equations that are routinely used for this purpose, but no systematic evaluation has been made. Therefore, we performed a systematic review of the literature to assess predictive equations of REE in critically ill children. We systematically searched the literature for eligible studies, and then we extracted data and assigned a quality grade to each article according to guidelines of the Academy of Nutrition and Dietetics. Accuracy was defined as the percentage of predicted REE values to fall within ±10% or ±15% of the measured energy expenditure (MEE) values, computed based on individual participant data. Of the 993 identified studies, 22 studies testing 21 equations using 2326 IC measurements in 1102 children were included in this review. Only 6 equations were evaluated by at least 3 studies in critically ill children. No equation predicted REE within ±10% of MEE in >50% of observations. The Harris-Benedict equation overestimated REE in two-thirds of patients, whereas the Schofield equations and Talbot tables predicted REE within ±15% of MEE in approximately 50% of observations. In summary, the Schofield equations and Talbot tables were the least inaccurate of the predictive equations. We conclude that a new validated indirect calorimeter is urgently needed in the critically ill pediatric population.).

Sugar-Sweetened Beverages and Obesity Risk in Children and Adolescents: A Systematic Analysis on How Methodological Quality May Influence Conclusions.

BACKGROUND: In the context of a worldwide high prevalence of childhood obesity, the role of sugar-sweetened beverage (SSB) consumption as a cause of excess weight gain remains controversial. Conflicting results may be due to methodological issues in original studies and in reviews. OBJECTIVE: The aim of this review was to systematically analyze the methodology of studies investigating the influence of SSB consumption on risk of obesity and obesity among children and adolescents, and the studies' ability to answer this research question. METHODS: A systematic review of cohort and experimental studies published until December 2013 in peer-reviewed journals was performed on Medline, CINAHL, Web of Knowledge, and ClinicalTrials.gov. Studies investigating the influence of SSB consumption on risk of obesity and obesity among children and adolescents were included, and methodological quality to answer this question was assessed independently by two investigators using the Academy of Nutrition and Dietetics Quality Criteria Checklist. RESULTS: Among the 32 identified studies, nine had positive quality ratings and 23 studies had at least one major methodological issue. Main methodological issues included SSB definition and inadequate measurement of exposure. Studies with positive quality ratings found an association between SSB consumption and risk of obesity or obesity (n=5) (ie, when SSB consumption increased so did obesity) or mixed results (n=4). Studies with a neutral quality rating found a positive association (n=7), mixed results (n=9), or no association (n=7). CONCLUSIONS: The present review shows that the majority of studies with strong methodology indicated a positive association between SSB consumption and risk of obesity or obesity, especially among overweight children. In addition, study findings highlight the need for the careful and precise measurement of the consumption of SSBs and of important confounders.

How much protein and energy are needed to equilibrate nitrogen and energy balances in ventilated critically ill children?

BACKGROUND & AIMS: Protein and energy requirements in critically ill children are currently based on insufficient data. Moreover, longitudinal measurements of both total urinary nitrogen (TUN) and resting energy expenditure (REE) are lacking. The aim of this study was to investigate how much protein and energy are needed to equilibrate nitrogen and energy balances in ventilated critically ill children on the basis of daily measurements of TUN, REE and protein and energy intakes. Comparisons were made with the guidelines of the American Society for Parenteral and Enteral Nutrition and the Dietary Reference Intakes. METHODS: Children with an expected duration of mechanical ventilation ≥72 h were prospectively recruited. TUN was measured by chemiluminescence, and REE was measured by indirect calorimetry. Generalised linear models for longitudinal data were used to study the relation between protein intake and nitrogen balance and to calculate the minimum intake of protein needed to achieve nitrogen equilibrium. A similar approach was used for energy. Results were compared to the recommended values. RESULTS: Based on 402 measurements performed in 74 children (median age: 21 months), the mean TUN was high at 0.20 (95% CI: 0.20, 0.22) g/kg/d and the REE was 55 (95% CI: 54, 57) kcal/kg/d. Nitrogen and energy balances were achieved with 1.5 (95% CI: 1.4, 1.6) g/kg/d of protein and 58 (95% CI: 53, 63) kcal/kg/d for the entire group, but there were differences among children of different ages. Children required more protein and less energy than the Dietary Reference Intakes. CONCLUSIONS: In critically ill children, TUN was elevated and REE was reduced during the entire period of mechanical ventilation. Minimum intakes of 1.5 g/kg/d of protein and 58 kcal/kg/d can equilibrate nitrogen and energy balances in children up to 4 years old. Older children require more protein.