Table 4.
Tenfold cross-validation for predictive equations developed from all patients (n = 294).
| Test set | Developed predictive equations | R2 | RMSE | SEE |
|---|---|---|---|---|
| 1 | REE = 1710.8Ht + 7.3Wt + 26.6VeMax – 1906 | 0.417 | 391.1 | 328.7 |
| 2 | REE = 891.6Ht + 9.0Wt + 39.7Ve – 5.6Age – 354a | 0.442 | 348.3 | 325.6 |
| 3 | REE = 2164.6Ht + 19.6BMI + 39.4Ve – 2651 | 0.397 | 325.3 | 338.8 |
| 4 | REE = 2153.2Ht + 33.6Ve + 115.6TMax – 6423 | 0.401 | 356.6 | 338.9 |
| 5 | REE = 1492.1Ht + 7.7Wt + 40.9Ve -1582 | 0.399 | 276.9 | 343.0 |
| 6 | REE = 1785.9Ht + 7.4Wt + 31.0VeMax – 2087 | 0.426 | 349.0 | 334.3 |
| 7 | REE = 1774.0Ht + 7.2Wt + 32.0VeMax – 2049 | 0.424 | 403.3 | 328.1 |
| 8 | REE = 1405.7Ht + 8.1Wt + 37.1Ve – 1442 | 0.403 | 362.3 | 334.0 |
| 9 | REE = 1564.2Ht + 7.9Wt + 28.7VeMax – 1727 | 0.396 | 338.1 | 335.3 |
| 10 | REE = 1691.6 Ht + 7.8Wt + 23.3VeMax – 1878 | 0.390 | 397.9 | 328.0 |
BMI body mass index (kg/m2), Ht height (m), R2 coefficient of determination, REE resting energy expenditure, RMSE root mean square error, SEE standard error of the estimate, TMax maximum body temperature in the previous 24 h (°C), VeMax maximum minute ventilation in the previous 24 h (L/min), Ve Minute Ventilation (L/min), Wt weight (kg).
Multiple linear regression analysis was applied.
A stepwise method of variable selection applied. Model assumptions fulfilled.
No interactions between independent variables. No multicollinearity detected.
aThe selected equation.