Table 2.

Serial associations among level of S-IgG, adverse events after vaccination and demographic-clinical variables at seven time points (Day 12, Day 30, Day 60, Day 90, Day 120, Day 150, and Day 180 following second vaccine dose, respectively). § In this binary logistic regression model, serum S-IgG levels were converted to a binary dependent variable based on the median value of the sample (0: ≤median, 1: >median).

Variable	B	Odds Ratio	95% C.I.		p-Value
Day 12, value of S-IgG (AU/mL, median as the cutoff) §
Fever, 2nd	−1.264	0.283	0.107	0.747	0.011
Day 30, value of S-IgG (AU/mL, median as the cutoff) §
Fever, 2nd	−1.349	0.260	0.091	0.741	0.012
Day 60, value of S-IgG (AU/mL, median as the cutoff) §
Smoking	0.651	1.917	1.157	3.176	0.012
Fever, 2nd	−1.372	0.254	0.086	0.748	0.013
Day 90, value of S-IgG (AU/mL, median as the cutoff) §
Chills, 1st	−1.672	0.188	0.038	0.937	0.041
Fever, 2nd	−2.482	0.084	0.018	0.389	0.002
Day 120, value of S-IgG (AU/mL, median as the cutoff) §
Age	−0.037	0.964	0.941	0.988	0.003
Smoking	0.780	2.181	1.227	3.878	0.008
Prior COVID+	−1.159	0.314	0.150	0.659	0.002
Fever, 2nd	−2.518	0.081	0.017	0.382	0.002
Day 150, value of S-IgG (AU/mL, median as the cutoff) §
Prior COVID+	−0.781	0.458	0.216	0.972	0.042
Fever, 2nd	−2.414	0.089	0.019	0.413	0.002
Day 180, value of S-IgG (AU/mL, median as the cutoff) §
Smoking	0.651	1.918	1.100	3.345	0.022
Fever, 2nd	−1.632	0.196	0.062	0.612	0.005

B, B coefficient; odds ratio, the exponentiation of the B coefficient EXP(B); 95%CI, 95% confident interval; S-IgG, anti-spike immunoglobulin; AU, arbitrary unit; COVID-19, confirmed corona virus disease-19.