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. 2021 Oct 12;9(10):1165. doi: 10.3390/vaccines9101165

Table 2.

Univariable analysis of predictors for anti-s IgG seroconversion.

Responders n = 73 Nonresponders n = 69 p-Value
Age years median (IQR) 48.0 (40–61) 58.0 (50–66) 0.002
Sex male n (%) 44 (60.3) 39 (56.5) 0.65
BMI kg/m2 median (IQR) 25.01 (23.11–28.37) 25.35 (22.49–28.41) 0.33
CCI median (IQR) 3 (2–5) 4 (3–6) 0.079
Diabetes n (%) 16 (21.92) 20 (28.98) 0.33
Transplant vintage years median (IQR) 10.0 (6–19) 7.0 (2.5–12) 0.002
Deceased donor n (%) 69 (94.52) 64 (92.75) 0.67
Serum creatinine mg/dl median (IQR) 1.31 (1.03–1.58) 1.39 (1.14–1.77) 0.13
Induction in history n (%) 16 (21.9) 23 (33.3) 0.13
>2 drugs immunosuppression n (%) 46 (65.83) 57 (82.61) 0.009
Corticosteroids n (%) 65 (89.04) 65 (94.2) 0.27
MMF/MPS n (%) 52 (71.2) 60 (86.9) 0.02
mRNA-1273 vaccine n (%) 23 (31.5) 14 (20.3) 0.13

Legend: CCI; Charlson comorbidity index; BMI, body mass index; MMF/MPS, mycophenolate mofetil/Na. The use of more than two immunosuppressive agents (p = 0.01), shorter transplantation vintage (p = 0.003), and older age (p < 0.001) maintained statistical significance in the multivariable analysis (Table 3). This regression analysis was statistically significant (χ2 = 29.95, p < 0.001). The Hosmer–Lemeshow test revealed a good fit (χ2 = 7.09), and the Nagelkerke R2 effect size (R2 = 0.25) demonstrated good predictive efficacy.