Table 7. Logistic regression of the effects of variables on the odds ratio of breakthrough infection.

¹Adjusted for age, ethnicity, sex, vaccine type, and serum IgG after the second vaccine.

²Adjusted for age, ethnicity, sex, vaccine type, serum IgG after the second vaccine, comorbidity, income, cancer type, and booster.

³Adjusted for age, ethnicity, sex, vaccine type, serum IgG after the second vaccine, comorbidity, and booster.

	Univariate, odds ratio (95% confidence interval)		Model A1, odds ratio (95% confidence interval)		Model B2, odds ratio (95% confidence interval)
Cancer patients	Estimate	P-Value	Estimate	P-Value	Estimate	P-Value
Type of vaccine
BNT162b2	Ref		Ref		Ref
Coronavac	NA		NA		NA
Log serum IgG after the second vaccine
Per unit increase	0.83 (0.73; 0.95)	0.01	0.80 (0.67; 0.94)	0.01	0.80 (0.65; 0.99)	0.04
	Univariate		Model A1		Model C3
Healthy individuals	Estimate	P-Value	Estimate	P-Value	Estimate	P-Value
Type of vaccine
BNT162b2	Ref
Coronavac	1.62 (0.77; 3.45)	0.21	7.54 (1.71; 33.26)	0.01	7.34 (1.40; 33.49)	0.02
Log serum IgG after the second vaccine
Per unit increase	1.02 (0.84; 1.23)	0.85	1.28 (0.88; 1.86)	0.19	1.30 (0.88; 1.92)	0.19