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. 2017 Sep 20;8:631. doi: 10.1038/s41467-017-00662-w

Table 2.

Prediction accuracy (%)d of 21 N-glycan biomarkers for RF-negative and/or ACPA-negative patients

N-Glycan biomarkers Training set Validation set
R(−)a patients (n = 19) A(−)b patients (n = 15) R&A(−)c patients (n = 8) R(−)a patients (n = 97) A(−)b patients (n = 55) R&A(−)c patients (n = 45)
Neutral N-glycans
 5_3_1_0-b 95 93 100 88 91 96
 6_3_1_0-b 100 100 100 77 82 80
 6_3_1_0-a 95 93 100 72 69 76
 3_5_0_0-c 100 100 100 79 82 82
 5_5_0_0-b 89 93 100 66 60 60
 5_3_1_0-c 95 93 100 77 87 91
 3_3_0_0-a 95 93 100 71 58 64
 4_3_1_0-b 95 93 100 69 58 64
 4_2_0_0 63 53 50 82 95 93
Acidic N-glycans
 8_6_1_2 89 87 75 80 75 78
 4_3_1_1-a 95 93 88 75 75 76
 4_3_0_1-c 89 93 88 78 82 84
 5_5_0_2-b 100 100 100 71 65 76
 6_5_0_2 89 93 88 72 73 76
 7_5_1_1-b 89 87 75 77 78 82
 5_4_0_1-a 100 100 100 59 51 60
 4_4_1_1-a 89 87 88 59 51 60
Sulfated N-glycans
 5_4_1_1 + SO3-b (SGm2) 95 93 88 84 82 82
 4_3_1_1 + SO3-b (SGm1) 100 100 100 76 78 73
 5_4_1_2 + SO3-b 95 93 100 64 51 60
 5_4_0_1 + SO3-a 84 80 88 70 82 82
All 89 87 100 81 80 80
SGm1 and SGm2 95 93 95 87 85 84

aR(−) represented RF-negative RA patients

bA(−) represented ACPA-negative RA patients

cR&A(−) represented RF&ACPA-negative RA patients

dThe prediction accuracy refers to the ratio of the number of samples correctly predicted as RA to the total number of samples actually diagnosed as RA in corresponding subsets using the regular diagnostic methods