### Description

White et al developed equations for predicting energy expenditure in children receiving mechanical ventilated in the pediatric intensive care unit. The authors are from the University of Queensland and the Royal Children's Hospital in Brisbane, Australia.

Age range: The patients had a mean age of 54 months +/- 53, which suggests an age range of 1 month to 9 years (see Limitations).

Derived Equation with Maximum Correlation Coefficient

Scored parameters:

(1) days in ICU

(2) diagnosis

 Parameter Finding Points days in ICU 0 0 1 1 2 2 3 3 >= 4 4 diagnosis head injury 0 post-surgical procedure 105 respiratory illness (-512) sepsis (-227) other 98

energy expenditure in kJ per day =

= (20 * (age in months)) + (31 * (weight in kilograms)) + (151 * (waz score)) + (279 * (body temperature in °C)) + (122 * (points for days in ICU)) – 9200 + (points for diagnosis)

where:

• The correlation coefficient (r-squared) = 0.898.

• The waz score is the weight for age Z score, derived using the program Epi Info (CDC/WHO).

• I assume that only 1 diagnosis is scored (since the values are "ORed" on page 2309. I am not sure how a child with more than 1 diagnosis would be handled.

Simplified Version

energy expenditure in kJ per day =

= (17 * (age in months)) + (48 * (weight in kilograms)) + (292 * (body temperature in °C)) – 9677

where:

• The correlation coefficient (r-squared) = 0.867.

Limitations:

• The equations were found inaccurate for children < 2 months in age.

Performance:

• Mean bias for the first equation was –165 kJ per day (range –1229 to 1363).

• Mean bias for the second equation was –155 kJ per day (range –1438 to 1672).

• Mean bias for the Schonfield equation was –440 kJ per day (range –1952 to 2048).