Table 1 Demographics and clinical characteristics.

From: Impact of IgG monitoring and machine learning based prediction on outcomes of ABO incompatible kidney transplantation in blood type O recipients

Variables

A, B, AB recipients (n = 232)

O recipients (n = 176)

p-value

Era 1 (IgM) (n = 102)

Era 2 (IgG) (n = 74)

Mean age, years

48.7 ± 11.7

47.3 ± 11.9

47.7 ± 12.7

0.55

Male sex, n (%)

156 (67.2)

68 (66.7)

43 (58.1)

0.34

BMI, kg/m2

23.2 ± 3.5

23.1 ± 3.5

22.6 ± 3.5)

0.39

Diabetes mellitus, n (%)

89 (38.4)

29 (28.4)

17 (23.0)

0.026

Hypertension, n (%)

202 (87.1)

91 (89.2)

64 (86.5)

0.82

Dialysis before KT, monthsa

17.4 (31.4)

20.8 (38.1)

20.6 (42.1)

0.64

Initial IgM anti ABO titer, 2n

5.0 ± 5.9

5.9 ± 1.5

6.3 ± 1.7

 < 0.001*

Pre-transplant IgM anti ABO titer, 2n

2.7 ± 2.0

2.6 ± 1.4

1.7 ± 1.9

0.030

PRA class Ia

7.7 (9.0)

7.8 (2.0)

7.8 (4.3)

0.99

PRA class IIa

7.9 (4.5)

7.0 (3.8)

13.7 (24.0)

0.034

HLA mismatch

ABDR mismatch

3.4 ± 1.7

3.2 ± 1.6

3.4 ± 1.70

0.59

DR mismatch

1.2 ± 0.7

1.1 ± 0.6

1.1 ± 0.7

0.83

DQ mismatch

1.0 ± 0.7

0.9 ± 0.7

0.9 ± 0.7

0.26

  1. Continuous variables are presented as means ± standard deviations, whereas categorical data are presented as numbers (%).
  2. aDialysis before transplantation (months) and PRA class I and II data are presented as median (interquartile range [IQR]).
  3. IgM, Immunoglobulin M; PRA, panel reactive antibody; HLA, Human Leukocyte Antigen.
  4. *Statistical significance was observed between A, B, AB recipients and O recipients (combined), but not between the IgM and IgG subgroups within the O recipient group.