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Table 2 Statistics of REE prediction equation performance, N = 513

From: Predicting resting energy expenditure in underweight, normal weight, overweight, and obese adult hospital patients

  REE (kcal/day) SD Under prediction (%) a Accurate prediction (%) b Over prediction (%) c BIAS d RMSE e
REE by calorimetrie 1678 408      
New equation 1698 313 19 49 32 4 286
Korth [18] 1621 344 30 49 22 −1 295
WHO-wtht [15] 1540 288 40 45 14 −6 321
Schofield-wtht [19] 1513 282 46 42 12 −7 333
Henry-wtht [20] 1489 291 51 39 10 −9 344
WHO-wt [15] 1504 304 49 39 13 −8 345
Harris& Benedict 1918 [10] 1490 324 51 38 11 −9 350
Muller [21] 1493 308 52 37 11 −9 347
H&B by Roza [11] 1494 321 53 37 11 −9 344
Schofield-wt [19] 1483 293 53 36 12 −9 355
Mifflin [22] 1444 304 60 32 8 −12 369
Henry2005-wt [20] 1458 320 58 31 10 −11 370
MullerBMI [21] 1396 435 60 31 9 −16 450
30 kcal/kg 1618 527 44 28 28 −2 435
Livingston [23] 1405 284 66 27 7 −14 399
25 kcal/kg 1348 440 68 23 9 −19 502
2000 kcal for female and 2500 kcal for male 2253 250 3 11 87 41 689
Bernstein [24] 1208 271 90 8 2 −26 557
  1. a The percentage of subjects predicted by this predictive equation < 10% of the measured value
  2. b The percentage of subjects predicted by this predictive equation within 10% of the measured value
  3. c The percentage of subjects predicted by this predictive equation > 10% of the measured value
  4. d Mean percentage error between predictive equation and measured value
  5. e Root mean squared prediction error