Table 3 Post-transplant complications.

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)

Post-transplant plasmapheresis, n

0.4 ± 1.5

0.16 ± 0.7

3.4 ± 2.9

 < 0.001

Hyperacute rejection, n (%)

0 (0)

1 (0.9)

0 (0)

0.22

1 month rejection, n (%)

0 (0)

2 (1.9)

0 (0)

0.049

6 months rejection, n (%)

7 (3.0)

4 (2.9)

2 (2.7)

0.88

1-year rejection, n (%)

13 (5.6)

5 (3.9)

2 (2.7)

0.60

Infectious complicationsa, n (%)

38 (16.4)

19 (18.6)

12 (16.2)

0.86

  1. Continuous data are presented as means ± standard deviations, whereas categorical data are presented as numbers (%).
  2. aInfectious complications are defined as any infectious event requiring antibiotic treatment.
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