Prediction of graft outcomes after kidney transplantation: When standard statistics compare to machine learning techniques

Table 3 Clinical characteristics of kidney recipients

Recipient feature	Summary statistics, mean ± SD (range)	Completeness (%)
Recipient characteristics
Sex	Female: 45.7%, male: 54.3%	100
Age (years)	46.4 ± 12.9 (2-76)	98
Weight (kg)	66.0 ± 11.8 (28.2-115)	92
Height (m)	1.63 ± 0.09 (1.00-1.87)	74
Body mass index (m/kg2)	24.6 ± 3.1 (16.6-38.9)	74
Blood type	O: 53.0%, A: 32.1%, B: 12.3%, AB: 2.51%	99
Number of transplants (n)	1: 83.5%, 2: 15%, 3: 1.5%	51
Time on the waiting list (months)	40.2 ± 31.7 (1-191)	57
Pre-transplant dialysis time (months)	69.3 ± 44.2 (0-384)	95
Residual diuresis (mL/day)	324.3 ± 491.5 (0-2500)	63
Comorbidities
Hypertension	Yes: 84.9%, no: 15.1%	94
Coronary artery disease	Yes: 5.9%, no: 94.1%	90
Congestive heart failure	Yes: 3.2%, no: 96.8%	90
Arrhythmias	Yes: 2.6%, no: 97.4%	90
Peripheral vascular disease	Symptomatic: 2.8%, asymptomatic: 0.6%, no: 96.6%	89
DM	Yes: 9.7%, no: 90.3%	91
DM type	Type 1: 16.2%, type 2: 82.4%	90
Cancer	Yes: 2.3%, no: 97.7%	90
Uropathy	Yes: 2.6%, no: 97.4%	90
HIV	Yes: 1.7%, no: 98.3%	90
Other physical	Yes: 5.0%, no: 95.0%	90
Other psychiatric	Yes: 2.6%, no: 97.4%	90
Charlson score	2.92 ± 1.23 (2-10)	42
Clinical history
Transfusions	Yes: 30.3%, no: 69.7%	64
Previous organ transplant	Yes: 0.56%, no: 99.44%	70
Tobacco use	Yes: 47.5%, no: 52.5%	69
Alcohol use	Yes: 26.1%, no: 73.9%	72
Other drugs	Yes: 0.2%, no: 99.8%	72
Cause of chronic kidney disease	Unknown: 44.5%, non-diabetes mellitus glomerulopathy: 27.1%, congenital and cystic: 8.0%, diabetic kidney disease: 6.9%, other: 6.8%, hypertensive or vascular: 3.8%, tubulointerstitial: 3.0%	99
Dialysis	Yes: 99.7%, no: 0.3%	97
Dialysis type	HD: 91.0%, PD: 5.1%, combination: 3.9%	90

DM: Diabetes mellitus; HIV: Human immunodeficiency virus; HD: Hemo dialysis; PD: Peritoneal dialysis.