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 4 Laboratory features of kidney recipients
| Laboratory feature of the recipient | Summary statistics, mean ± SD (range) | Completeness (%) |
| Serum creatinine (mg/dL) | 8.5 ± 2.6 (1.04-18.7) | 55 |
| Proteinuria (g) | 12.5 ± 36.6 (0-148) | 4 |
| Cholesterol (mg/dL) | 182.0 ± 44.0 (100-320) | 11 |
| Phosphorus (mg/dL) | 5.0 ± 1.6 (1.4-9.9) | 48 |
| Calcium (mg/dL) | 9.1 ± 1.0 (5.1-12.0) | 48 |
| PTH (pg/mL) | 387.1 ± 371.5 (2.5-2292) | 43 |
| Albumin (g/dL) | 4.3 ± 0.3 (3.1-5.5) | 38 |
| Hb (g/dL) | 10.9 ± 1.6 (5.9-17.0) | 37 |
| CMV | Positive: 78.5%, negative: 21.5% | 60 |
| Chagas | Positive: 2.8%, negative: 97.2% | 61 |
| Toxoplasma | Positive: 31.9%, negative: 68.1% | 61 |
| HTLV-1 | Positive: 23.1%, negative: 76.9% | 2 |
| PPD | Positive: 43.2%, negative: 56.8% | 5 |
- 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