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. 2022 Mar 3;17(3):e0264329. doi: 10.1371/journal.pone.0264329

Table 5. Associations between AKI phenotypes and DGF and 1-year eGFR.

Variables Event Rate in Recipients (n/total) Univariable [OR (95% CI)] Multivariable a [OR (95% CI)]
Association between AKI Phenotypes at anytime during hospitalization and DGF
No AKI 53/209 (25%) (ref) (ref)
hAKI 59/184 (32%) 1.39 (0.87, 2.23) 1.65 (0.83, 3.27)
mAKI 44/159 (28%) 1.13 (0.67, 1.88) 1.71 (0.84, 3.50)
iAKI 60/117 (51%) 3.10 (1.87, 5.13) 4.83 (2.29, 10.22)
Median (IQR) of 1-year eGFR Univariable [B coefficient (95% CI)] Multivariable b [B coefficient (95% CI)]
Association between AKI Phenotypes at anytime during hospitalization and 1-year eGFR
No AKI (ref) (ref)
hAKI 0.93 (-4.60, 6.47) 0.88 (-5.56, 7.33)
mAKI 1.01 (-5.04, 7.06) -1.95 (-8.65, 4.74)
iAKI -4.82 (-10.62, 0.97) -11.22 (-19.14, -3.30)

AKI: Acute kidney injury; DGF: Delayed graft function; eGFR: Estimated glomerular filtration rate.

a Multivariable model was adjusted for donor characteristics: KDPI, expanded criteria donor; transport characteristics: Hypothermic machine perfusion and cold ischemia time; and recipient characteristics: Age, black race, male gender, BMI, diabetes as the cause of ESKD, HLA mismatches, PRA, pre-emptive transplant, prior kidney transplant, and duration on dialysis.

b Multivariable model was adjusted for donor characteristics: Age, sex, black race, BMI, HCV status, hypertension, diabetes, stroke as cause of death, donor donation after cardiac death, terminal serum creatinine, expanded criteria donor; transport characteristics: Hypothermic machine perfusion and cold ischemia time; and recipient characteristics: Age, black race, male gender, BMI, diabetes as the cause of ESKD, HLA mismatches, PRA, pre-emptive transplant, prior kidney transplant, and duration on dialysis.