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. 2018 Dec 21;4(4):541–550. doi: 10.1016/j.ekir.2018.12.011

Table 3.

Multivariable models for effect of AT1R-Ab or HLA DSA positivity on cytokine levels

Cytokine AT1R-Ab+ (n = 92) P HLA DSA+ (n = 25) P
Linear modelsa Coefficient (95% CI) Coefficient (95% CI)
TNF-α 0.38 (0.14–0.63) 0.002 −0.01 (−0.42 to 0.39) 0.883
IFN-γ 0.71 (0.25–1.18) 0.002 0.35 (−0.38 to 1.08) 0.360
IL-8 1.04 (0.61–1.47) <0.001 0.45 (−0.24 to 1.14) 0.221
Logistic modelsb OR (95% CI) OR (95% CI)
IL-1β 3.03 (1.32–6.96) 0.008 0.86 (0.25–2.96) 0.817
IL-6 3.89 (1.34–11.36) 0.012 2.74 (0.55–13.58) 0.155
IL-17 2.56 (0.99–6.62) 0.049 1.26 (0.32–4.89) 0.714

AT1R-Ab, angiotensin II type 1 receptor antibody; CI, confidence interval; HLA DSA, human leukocyte antigen donor-specific antibodies; IFN, interferon; IL, interleukin; LLD, lower limit of detection; OR, odds ratio; TNF, tumor necrosis factor.

Individual linear and logistic regression models were created for each cytokine. Linear models were used when <50% of samples were below the LLD (TNF-α, IFN-γ, IL-8) and logistic models were used otherwise (IL-1β, IL-6, IL-17). Viremia and rejection were assessed on the patient level as any viremia or rejection during the follow-up period. Time posttransplantation was significant for all cytokines except IL-6.

a

Linear regression models adjusted for patient level random effect, time, age, sex, mean HLA mismatch, living versus deceased donor, viremia, and presence of rejection. Cytokines log transformed for analysis.

b

Logistic regression models adjusted for patient-level random effect, time, age, sex, mean HLA mismatch, living versus deceased donor, and presence of rejection.