Copyright: ©Author(s) 2026.
World J Nephrol. Mar 25, 2026; 15(1): 116879
Published online Mar 25, 2026. doi: 10.5527/wjn.v15.i1.116879
Published online Mar 25, 2026. doi: 10.5527/wjn.v15.i1.116879
Table 1 Clinical characteristics of kidney donors
| Donor feature | Summary statistics, mean ± SD (range) | Completeness (%) |
| Sex | Female: 40.9%; male: 59.1% | 94 |
| Age (years) | 42.6 ± 14.6 (4-73) | 98 |
| Weight (kg) | 74.5 ± 17.3 (15-180) | 19 |
| Height (cm) | 166.7 ± 10.8 (97-190) | 19 |
| Body mass index (kg/m2) | 26.6 ± 4.8 (16-56) | 19 |
| Cause of death | Hemorrhagic stroke: 39.2%, trauma: 33.4%, ischemic stroke: 11.7%, other: 11.0%, anoxia: 4.7% | 100 |
| Extended criteria donor (ECD) | Yes: 16.8%, no: 83.2% | 100 |
| Blood type | O: 55.8%, A: 31.8%, B: 11.4%, AB: 1.1% | 98 |
| Hypertension | Yes: 22.9%, no: 77.1% | 83 |
| Diabetes mellitus | Type 1 0.8%, type 2 4.4%, no: 94.8% | 80 |
| Serum creatinine (mg/dL) | 0.88 ± 0.37 (0.20-2.82) | 89 |
| Mean blood pressure (mmHg) | 83.9 ± 13.1 (50-120) | 57 |
| Diuresis (mL/hour) | 154.6 ± 123.6 (0-700) | 56 |
- Citation: Salgado C, Gonzalez Cohens F, Vera FA, Ruiz R, Velasquez JD, Gonzalez FM. Prediction of graft outcomes after kidney transplantation: When standard statistics compare to machine learning techniques. World J Nephrol 2026; 15(1): 116879
- URL: https://www.wjgnet.com/2220-6124/full/v15/i1/116879.htm
- DOI: https://dx.doi.org/10.5527/wjn.v15.i1.116879