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

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

	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

^a The percentage of subjects predicted by this predictive equation < 10% of the measured value
^b The percentage of subjects predicted by this predictive equation within 10% of the measured value
^c The percentage of subjects predicted by this predictive equation > 10% of the measured value
^d Mean percentage error between predictive equation and measured value
^e Root mean squared prediction error