# Table 3 Comparison of EE estimates to IC including sensitivity of EE(VCO2) reliance on RQ

Equation

Mean EE (bias) (kcal/day)

SF

Range of estimation differences

RMSE of EE difference

# Of patients with accurate EE estimates (%)

ACCP

1889 (−20 %)*

NA

[−49 %; 22 %]

28 %

6 (33 %)

Harris–Benedict

2347 (0 %)

1.55

[−20 %; 61 %]

16 %

9 (50 %)

Harris–Benedict, IBM

2347 (0 %)

1.67

[−23 %; 76 %]

18 %

8 (35 %)

Mifflin St Jeor

2347 (0 %)

1.59

[−18 %; 68 %]

15 %

9 (50 %)

Penn State 1

1782 (−24 %)*

NA

[−41 %; 0 %]

27 %

1 (6 %)

Penn State 2

1572 (−33 %)*

NA

[−49 %; −10 %]

35 %

1 (6 %)

Penn State 3

1637 (−30 %)*

NA

[−43 %; −9 %]

32 %

1 (6 %)

EE(VCO2) RQ = 0.81

2332 (−1 %)

NA

[−13 %; 14 %]

7 %

16 (89 %)

EE(IC)

2347 (0 %)

NA

Sensitivity analysis of RQ

EE(VCO2) RQ = 0.70

2626 (12 %)*

NA

[−2 %; 30 %]

12 %

9 (50 %)

EE(VCO2) RQ = 0.76

2455 (5 %)*

NA

[−8 %; 20 %]

8 %

14 (78 %)

EE(VCO2) RQ = 0.85

2244 (−4 %)

NA

[−16 %; 10 %]

6 %

16 (89 %)

EE(VCO2) RQ = 0.89

2163 (−8 %)*

NA

[−19 %; 6 %]

10 %

10 (56 %)

EE(VCO2) RQ = 1.00

1976 (−16 %)*

NA

[−26 %; −3 %]

17 %

4 (22 %)

1. The bias in percent is relative to the mean EE(IC). The range of estimation differences is the maximum and minimum difference between the equations and individual mean EE(IC). The RMSE of EE difference is the root mean square error of EE difference between the equations and the IC measurements. Accurate EE estimates are defined as per-patient mean EE within ±10 % of EE(IC)
2. * Significantly different from mean EE(IC)
3. Significantly greater variance than EE(VCO2) RQ = 0.81
4. Significantly different from EE(VCO2) RQ = 0.81