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