A Novel Differential Predict Model Based on Matrix-Assisted Laser Ionization Time-of-Flight Mass Spectrometry and Serum Ferritin for Acute Graft-versus-Host Disease

Table 6

Parameters in predict models for severe aGVHD.

Variables in the equation										Classification table
		B	S.E.	Wald	df	Sig.	Exp (B)	95% C.I. for EXP (B)				Percentage; correct
								Lower	Upper
Stage 2	2809.6	.017	.008	4.960	1	.026	1.017	1.002	1.032	Disease Grades 3~4	Non-gvhd, Grade 1, Grade 2	100.0
	3976.9	.015	.009	2.754	1	.097	1.015	.997	1.032		Grades 3~4	80.0
	Constant	−7.305	2.749	7.064	1	.008	.001			Overall percentage		95.0
Stage 3	2815.4	.005	.003	2.902	1	.088	1.005	.999	1.010	Disease Grades 3~4	Non-gvhd, Grade 1, Grade 2	98.8
	3995.6	.004	.007	.328	1	.567	1.004	.990	1.019		Grades 3~4	39.1
	4303.2	.002	.004	.175	1	.676	1.002	.993	1.011
	5931.3	.001	.001	5.507	1	.019	1.001	1.000	1.003
	Constant	−3.991	.791	25.470	1	.000	.018			Overall percentage		85.6