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. 2019 Jan 8;5:358. doi: 10.3389/fmed.2018.00358

Table 1.

Overview of the diagnostic performance of biomarkers in detecting kidney transplant rejection.

Authors Biomarkers Sample size Rejection type AUC Sensitivity% Specificity% PPV% NPV%
Suthanthiran et al. (28) Three-gene signature in urine cell pellets N = 485 kidney transplant patients
N = 4,300 urine samples
Acute TCMR 0.74 71 72
Roedder et al. (29) kSORT N = 436 kidney transplant patients
N = 558 blood samples
Acute rejection (both TCMR and ABMR) 0.94 83.0 90.6 93.2
Hricik et al. (30) CXCL9 protein N = 255 kidney transplant patients Banff ≥ 1 rejection 0.86 85.2 80.7 67.6 92
Rabant et al. (31) CXCL9 N = 247 kidney transplant patients
N = 290 matched kidney biopsies and urine samples
TCMR 0.86 80 87 23.5 98.9
Rabant et al. (31) CXCL10 N = 247 kidney transplant patients
N = 290 matched kidney biopsies and urine samples
ABMR 0.70 73 61.6 25.7 92.6
Rabant et al. (31) CXCL10 N = 247 kidney transplant patients
N = 290 matched kidney biopsies and urine samples
Mixed rejections 0.80 74.2 83.3 40.4 95.5
Bloom et al. (32) dd-cfDNA N = 102 kidney transplant patients
N = 107 plasma samples matched with a biopsy.
Active rejection 0.74 59 85 61 84

AUC, area under the curve; NPV, negative predictive value; PPV, positive predictive value; CXCL, chemokine (C-X-C motif) ligand; ABMR, antibody mediated rejection; TCMR, T cell mediated rejection; dd-cfDNA, donor-derived cell free DNA.