Describe the accuracy of predictive equations in pediatric intensive care patients.

• A. They yield results not consistent with measured energy expenditure and may result in significant under or overfeeding
• B. Predictive equations are highly accurate
• C. They always overestimate energy needs
• D. They are rarely used in pediatric intensive care

Answer: (A)

Predictive equations for energy needs in pediatric intensive care patients are often unreliable when compared with actual energy expenditure measured in the patient. In critical illness, metabolism can shift unpredictably due to fever, inflammation, surgical stress, sedation, organ support, and changes in body composition and fluid status. These factors can drive energy needs up or down beyond what standard equations account for, so the estimated targets may lead to underfeeding or overfeeding. When indirect calorimetry is available, it provides a more accurate measurement to guide nutrition therapy; if not, clinicians use energy estimates with caution and frequently reassess.

The other statements don’t fit because predictive equations are not consistently precise for this population. They do not always overestimate energy needs, and they are not universally accurate or exclusively avoided in pediatric intensive care; they’re used as a starting point when direct measurement isn’t available, but they can mislead if relied on without clinical adjustment.