In pediatric ICU patients, predictive equations for energy expenditure yield results that are not consistent with measured energy expenditure, leading to under or overfeeding.

• A. They overestimate energy needs consistently
• B. They yield results not consistent with measured energy expenditure, leading to under or overfeeding
• C. They are rarely used in practice
• D. They match measured expenditure

Answer: (B)

In pediatric ICU patients, metabolism is highly dynamic due to illness, fever, catabolism, sedation, and the use of support devices, so energy needs can swing widely from day to day. Predictive equations rely on fixed factors from healthy populations and apply generic stress and activity multipliers, which don’t capture these rapid changes. As a result, the estimates often do not match what the patient actually uses, leading to energy intakes that are either too low (underfeeding) or too high (overfeeding). Indirect calorimetry can measure energy expenditure more accurately by assessing gas exchange, guiding more precise feeding, but it isn’t always available. Therefore, this statement—predictive equations producing inconsistent results with measured expenditure and causing under- or overfeeding—best reflects the challenge in calculating energy needs in the PICU.