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. 2018 Nov 17;17(2):233–246. doi: 10.1007/s40200-018-0365-3

Table 7.

Logistic regression analysis of N-glycans crude in and adjusted models

Crude Age + Gender + BMI
B S.E. OR(95%CI) p B S.E. OR(95%CI) p
GP1 0.064 0.047 1.07(0.97–1.17) 0.176 0.061 0.051 1.06(0.96–1.18) 0.232
GP2 0.241 0.213 1.27(0.84–1.93) 0.257 0.045 0.240 1.05(0.65–1.67) 0.851
GP3 −2.153 3.384 0.12(0.00–88.22) 0.525 −5.967 4.221 0.00(0.00–10.04) 0.157
GP4 −0.029 0.130 0.97(0.75–1.25) 0.821 0.021 0.147 1.02(0.77–1.36) 0.886
GP5 −0.167 0.287 0.85(0.48–1.48) 0.559 −0.204 0.323 0.82(0.43–1.54) 0.527
GP6 1.062 0.474 2.89(1.14–7.33) 0.025* 0.751 0.518 2.12(0.77–5.85) 0.147
GP7 −1.851 0.908 0.16(0.03–0.93) 0.041* −1.826 0.960 0.16(0.03–1.06) 0.057
GP8 −0.217 0.428 0.81(0.35–1.86) 0.612 −0.501 0.533 0.61(0.21–1.72) 0.347
GP9 −3.519 3.145 0.03(0.00–14.07) 0.263 −4.957 3.629 0.01(0.00–8.64) 0.172
GP10 −0.375 0.150 0.69(0.51–0.92) 0.012* −0.291 0.183 0.75(0.52–1.07) 0.112
GP11 −0.203 0.785 0.82(0.18–3.80) 0.796 −0.249 0.845 0.78(0.15–4.09) 0.768
GP12 −2.043 1.028 0.13(0.02–0.97) 0.047* −2.915 1.175 0.05(0.01–0.54) 0.013*
GP13 0.830 0.632 2.29(0.67–7.90) 0.189 0.336 0.728 1.40(0.34–5.82) 0.645
GP14 0.262 0.118 1.30(1.03–1.64) 0.026* 0.132 0.130 1.14(0.88–1.47) 0.313
GP15 −0.811 0.795 0.44(0.09–2.11) 0.308 −1.039 0.880 0.35(0.06–1.99) 0.238
GP16 −0.491 0.154 0.61(0.45–0.83) 0.001* −0.494 0.180 0.61(0.43–0.87) 0.006*
GP17 0.062 0.301 1.06(0.59–1.92) 0.836 −0.012 0.327 0.99(0.52–1.88) 0.971
GP18 0.071 0.260 1.07(0.65–1.79) 0.784 −0.100 0.296 0.91(0.51–1.62) 0.736
GP19 −1.445 0.894 0.24(0.04–1.36) 0.106 −1.410 1.014 0.24(0.03–1.78) 0.164
GP20 0.012 0.052 1.01(0.92–1.12) 0.816 0.011 0.058 1.01(0.90–1.13) 0.854
GP21 −0.612 1.062 0.54(0.07–4.35) 0.564 −1.227 1.145 0.29(0.03–2.77) 0.284
GP22 −0.493 0.196 0.61(0.42–0.90) 0.012* −0.514 0.218 0.60(0.39–0.92) 0.018*
GP23 0.189 0.204 1.21(0.81–1.80) 0.353 −0.019 0.233 0.98(0.62–1.55) 0.935
GP24 0.099 0.290 1.10(0.63–1.95) 0.733 0.310 0.323 1.36(0.73–2.57) 0.336
GP25 5.190 3.072 179.53(0.44–746.43) 0.091 3.261 3.489 26.07(0.03–28.75) 0.350
GP26 0.209 0.368 1.23(0.60–2.53) 0.571 0.656 0.447 1.93(0.80–4.63) 0.142
GP27 0.531 0.521 1.70(0.61–4.73) 0.308 0.160 0.596 1.17(0.37–3.78) 0.788
GP28 −0.349 0.650 0.71(0.20–2.52) 0.591 0.110 0.721 1.12(0.27–4.58) 0.879
GP29 −1.254 3.278 0.29(0.00–176.23) 0.702 −2.296 3.580 0.10(0.00–112.27) 0.521
GP30 −0.051 0.090 0.95(0.80–1.13) 0.569 0.061 0.104 1.06(0.87–1.30) 0.560
GP31 −0.897 0.738 0.41(0.10–1.73) 0.224 −0.333 0.875 0.72(0.13–3.99) 0.704
GP32 0.155 0.336 1.17(0.61–2.25) 0.645 0.657 0.419 1.93(0.85–4.39) 0.118
GP33 0.135 0.130 1.14(0.89–1.48) 0.299 0.061 0.148 1.06(0.80–1.42) 0.681
GP34 −0.826 1.408 0.44(0.03–6.91) 0.557 0.314 1.790 1.37(0.04–45.73) 0.861
GP35 0.960 1.091 2.61(0.31–22.16) 0.379 0.686 1.231 1.99(0.18–22.18) 0.577
GP36 0.736 1.676 2.09(0.08–55.80) 0.660 1.495 1.971 4.46(0.09–212.20) 0.448
GP37 −0.796 0.868 0.45(0.08–2.47) 0.359 −0.198 0.966 0.82(0.12–5.45) 0.838
GP38 −0.396 0.671 0.67(0.18–2.51) 0.555 0.110 0.776 1.12(0.24–5.11) 0.888
GP39 0.241 0.632 1.27(0.37–4.39) 0.703 −0.113 0.715 0.89(0.22–3.63) 0.875

OR: odds ratio, logistic regression model was adjusted for age, gender and BMI. Two tailed *p < 0.05 is significant and are bold