Table. 1.

Baseline characteristics of the study population

Variable All (n=87) Survivor (n=67) Non-survivor (n=20) P-value
Age (yr) 43 (21–80) 43 (21–64) 45 (32–80) 0.470
Age ≥60 yr 8 (9) 5 (7) 3 (15) 0.306
Sex 0.768
Male 63 (72) 48 (72) 15 (75)
Female 24 (28) 19 (28) 5 (25)
Type of donor 0.584
Living 69 (79) 52 (78) 17 (85)
Deceased 15 (17) 13 (19) 2 (10)
Unknown 3 (3) 2 (3) 1 (5)
Time after transplantation (yr) 5 (0.01–27) 5 (0.01–27) 5 (4–25) 0.790
Time after transplantation <1 yr 10 (12) 7 (10) 3 (15) 0.744
Lymphocyte depleting antibody exposure 8 (9) 5 (7) 3 (15) 0.306
Calcineurin Inhibitor 0.718
Tacrolimus 76 (87) 59 (88) 17 (85)
Cyclosporine 11 (13) 8 (12) 3 (15)
Corticosteroids 79 (91) 61 (91) 18 (90) 0.887
Anti-metabolite 0.915
Mycophenolic acid 58 (67) 44 (66) 14 (70)
Azathioprine 4 (5) 3 (4) 1 (5)
None 25 (29) 20 (30) 5 (25)
mTOR inhibitor 3 (3) 3 (4) 0 0.336
Comorbidity burden 0.583
No comorbidity 18 (21) 13 (19) 5 (25)
1–2 Comorbidity 60 (69) 48 (72) 12 (60)
>2 Comorbidity 9 (10) 6 (9) 3 (15)
Hypertension 46 (53) 35 (52) 11 (55) 0.828
Diabetes mellitus 19 (22) 13 (19) 6 (30) 0.314
Chronic lung disease/asthma 18 (21) 13 (19) 5 (25) 0.588
Obesity 13 (15) 10 (15) 3 (15) 0.993
Cardiovascular disease 11 (13) 6 (9) 5 (25) 0.058
Chronic liver disease 5 (6) 5 (7) 0 0.208
Cancer 3 (3) 3 (4) 0 0.336
eGFR at the time of presentation (mL/min/1.73 m2) 40 (6–93) 45 (24–93) 28 (6–92) 0.003
Source of COVID-19 exposure 0.855
Community acquired 55 (63) 42 (63) 13 (65)
Household cluster 17 (19) 12 (18) 5 (25)
Workplace cluster 8 (9) 7 (10) 1 (5)
Healthcare cluster 6 (7) 5 (7) 1 (5)
Imported or overseas 1 (1) 1 (1) 0

Values are presented as median (range) or number (%).

mTOR, mammalian target of rapamycin; eGFR, estimated glomerular filtration rate; COVID-19, coronavirus disease 2019.

Korean J Transplant 2021;35:218~229 https://doi.org/10.4285/kjt.21.0024
© Korean Journal of Transplantation