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. Author manuscript; available in PMC: 2018 Jul 1.
Published in final edited form as: Kidney Int. 2017 Mar 6;92(1):201–213. doi: 10.1016/j.kint.2016.12.024

Table 2.

Clinical variables predicting sc-TCMR

Variables predicting sc-TCMR Univariate analysis Multivariate analysis
OR CI 95% p value OR CI 95% p value
Clinical BPAR (<6 months) (no) 0.093 0.023-0-365 0.001 0.088 0.015-0.500 0.006
Post-transplant d-sp IFN-γ ELISPOT (NEG) 0.054 0.007-0-429 0.006 0.072 0.008-0.653 0.019
Time HD (months) 1.015 0.999-1.030 0.074 1.012 0.992-1.032 0.245
Induction type rATG (no) 1.601 0.330-7.779 0.568 0.678 0.0877-5.952 0.731
Donor type (L/D) 1.127 0.328-3.877 0.851
6-month sCreat 1.006 0.994-1.019 0.342
DGF 1.303 0.380-4.468 0.678
Donor Age 1.005 0.969-1.043 0.797
HLA mismatch 1.063 0.663-1.703 0.802

BPAR, biopsy proved acute rejection; D, deceased; DGF, delayed graft function; HD, hemodialysis; L, living; Neg, negative ELISPOT; rATG, rabbit anti-thymoglobulin; sc-TCMR, T-cell mediated subclinical rejection; sCreat, serum creatinine. Data is presented as Mean±SD. ‘p’ values for binary logistic regression.