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. 2019 Dec 7;5(2):149–158. doi: 10.1016/j.ekir.2019.11.015

Table 3.

Characteristics of kidney transplant patients that developed an acute rejection with those that did not develop rejection after immune checkpoint inhibitor therapy

Variable Rejection (N = 18) No rejection (N = 25)a P value
Age 61.6 (12.6) 66 (6.28) 0.13
Sex, male 15 (83.3) 20 (76) 0.6
Drug class
 CTLA-4 2 (11.1) 7 (26.9) 0.27b
 PD-1 11 (61) 15 (57) 0.8
 PDL-1 1 (3.8)
 Combination CTLA-4 and PD-1 4 (22.2) 3 (11.5) 0.41b
 Sequential PD-1 1 (5.5)
Drug name
 Ipilimumab 2 (11.1) 7 (26.9) 0.2b
 Pembrolizumab 3 (16.6) 8 (30.7) 0.2b
 Nivolumab 8 (44.4) 7 (26.9) 0.22
 Avelumab 1 (3.8)
 Ipilimumab followed by pembrolizumab 2 (11.1) 1 (3.8) c
 Ipilimumab followed by nivolumab 2 (11.1) 2 (7.6) c
 Pembrolizumab followed by nivolumab 1 (5.5)
Cancer type
 Melanoma 12 (66.6) 18 (69) 0.85
 Metastatic Squamous cell carcinoma of skin 3 (16.6) 2 (7.6) c
 Lung cancer 3 (27) 2 (7.6) c
 Duodenal cancer 1 (3.8)
 Urothelial cancer 1 (3.8)
 Merkel cell carcinoma 2 (7.6)
Follow-up time after immune checkpoint inhibitor therapy, mo 11.3 (10.3) 9.6 (8.1)
Graft failure 15 (83.3) 2 (7.6) <0.0001
Cancer outcome
 Favorable response 0.52
 Complete response 1 (5.5) 4 (15.3)
 Partial response 3 (16.6) 5 (19.2)
 Stable disease 5 (27.7) 3 (11.5)
 Progressive disease 7 (38.8) 14 (53.8) 0.32
 Not available 2
Patient mortality
 Dead 8 (44.4) 10 (38.4) 0.88
 Not available 2 5

CTLA-4, cytotoxic T-lymphocyte-associated-antigen 4; PD-1, programmed cell death 1; PDL-1, programmed cell death ligand 1.

P value < 0.05 was considered statistically significant and is in bold.

a

One patient excluded as he had a nephrectomy before immune checkpoint blockade.

b

Nonparametric test was used for statistical analysis.

c

Too few patients for any clinically meaningful statistical analysis.