Protein oxidation, nitration and glycation biomarkers for early-stage diagnosis of osteoarthritis of the knee and typing and progression of arthritic disease

Table 3 Predictive algorithm outcomes using the random forest: confusion matrices

	Algorithm 1			Algorithm 2
Clinical class	Predicted class		Clinical class	Predicted class
Clinical class	Control	Disease	Clinical class	eOA	eRA	Non-RA
Training set cross-validation
Control	11	2	eOA	13	0	0
Disease	0	33	eRA	0	6	4
			Non-RA	0	2	8
Test set cross-validation
Control	33	4	eOA	30	0	0
Disease	11	86	eRA	1	22	12
			Non-RA	0	5	27
Test set validation
Control	2	35	eOA	18	2	10
Disease	36	61	eRA	0	8	27
			Non-RA	1	0	31

eOA early osteoarthritis, aOA advanced osteoarthritis, eRA early rheumatoid arthritis, aRA advanced rheumatoid arthritis, CML N_ε-carboxymethyl-lysine, CEL N_ε-(1- carboxyethyl)-lysine, MetSO methionine sulfoxide, DT dityrosine, FL Nε-fructosyl-lysine, MG-H1 methylglyoxal-derived hydroimidazolone, 3DG-H 3-deoxyglucosone-derived hydroimidazolone isomers, NFK N-formylkynurenine, 3-NT 3-nitrotyrosine, G-H1 glyoxal-derived hydroimidazolone, CMA N_ω-carboxymethylarginine

ISSN: 1478-6362