Figure 2.
Multivariable regression of factors associated with response to vaccination against SARS-CoV-2 in patients with hematological neoplasms and in controls. Parameters rated important by the feature selection algorithm (supplemental Figure 7) in 1 of the 4 groups were included in every model. ORs and the 95% confidence intervals are indicated. Reference groups for the categorical parameters were belonging to the healthy control group, female sex, 2 mRNA-based vaccine doses, and no current treatment. The CD4+ T-cell, CD8+ T-cell, and IgG vaccination response models were calculated for the total study population as well as for the 3 study cohorts, separately. Parameters in green show an OR <1 and parameters in violet an OR >1. The size of vaccination groups “only 1” (n = 1) and “with vector” (n = 4) precluded an analysis of vaccination scheme in lymphoid neoplasia models. ∗P < .05; ∗∗P < .01; ∗∗∗P < .001.

Multivariable regression of factors associated with response to vaccination against SARS-CoV-2 in patients with hematological neoplasms and in controls. Parameters rated important by the feature selection algorithm (supplemental Figure 7) in 1 of the 4 groups were included in every model. ORs and the 95% confidence intervals are indicated. Reference groups for the categorical parameters were belonging to the healthy control group, female sex, 2 mRNA-based vaccine doses, and no current treatment. The CD4+ T-cell, CD8+ T-cell, and IgG vaccination response models were calculated for the total study population as well as for the 3 study cohorts, separately. Parameters in green show an OR <1 and parameters in violet an OR >1. The size of vaccination groups “only 1” (n = 1) and “with vector” (n = 4) precluded an analysis of vaccination scheme in lymphoid neoplasia models. ∗P < .05; ∗∗P < .01; ∗∗∗P < .001.

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