Copyright: ©Author(s) 2026.
World J Hepatol. Jun 27, 2026; 18(6): 120258
Published online Jun 27, 2026. doi: 10.4254/wjh.120258
Published online Jun 27, 2026. doi: 10.4254/wjh.120258
Table 1 Patient demographic and clinical characteristics, median (interquartile rage)/n (%)
| Variable | Fibrosis < 2, (n = 168) | Fibrosis ≥ 2, (n = 29) | P value | Missingness |
| Age at transplant | 58.8 (49.7-63.0) | 49.0 (38.8-56.1) | < 0.001 | 0 (0.0) |
| Graft age | 1.0 (0.3-2.3) | 3.4 (2.6-8.9) | < 0.001 | 5 (2.5) |
| Male | 107 (63.7) | 18 (62.1) | 0.867 | 0 (0.0) |
| Body mass index | 26.9 (25.8-31.1) | 26.5 (24.5-27.6) | 0.032 | 0 (0.0) |
| Type of transplant: Living donor | 62 (36.9) | 6 (20.7) | 0.091 | 0 (0.0) |
| Fibroscan | ||||
| CAP | 258.2 (211.7-318.2) | 240.0 (194.0-290.0) | 0.087 | 7 (3.5) |
| LSM (kPa) | 6.0 (4.6-8.0) | 12.1 (8.0-20.9) | < 0.001 | 2 (1.0) |
| Albumin | 41.0 (38.0-44.0) | 41.0 (36.0-42.0) | 0.187 | 0 (0.0) |
| Bilirubin | 12.0 (9.0-18.2) | 15.0 (12.0-22.0) | 0.065 | 0 (0.0) |
| INR | 1.0 (1.0-1.1) | 1.1 (1.0-1.2) | 0.405 | 0 (0.0) |
| ALP | 112.0 (85.7-163.0) | 134.0 (108.0-229.0) | 0.001 | 0 (0.0) |
| ALT | 36.5 (23.0-64.2) | 52.0 (28.0-67.0) | 0.713 | 0 (0.0) |
| AST | 27.0 (19.7-41.2) | 41.0 (28.0-58.0) | 0.012 | 0 (0.0) |
| Creatinine | 102.5 (86.0-126.0) | 90.0 (84.0-110.0) | 0.224 | 0 (0.0) |
| Hemoglobin | 127.0 (113.5-136.0) | 134.0 (122.0-145.0) | 0.017 | 0 (0.0) |
| Platelet | 164.0 (131.7-199.5) | 156.0 (112.0-225.0) | 0.618 | 0 (0.0) |
| White blood cells | 5.9 (4.4-7.3) | 6.2 (4.3-7.7) | 0.916 | 0 (0.0) |
| MELD | 9.0 (7.0-11.0) | 10.0 (7.0-12.0) | 0.082 | 0 (0.0) |
| Indication for transplant | ||||
| AIH | 2 (1.2) | 2 (6.9) | 0.044 | 0 (0.0) |
| ALF | 0 (0.0) | 0 (0.0) | 0 (0.0) | |
| ALD | 19 (11.3) | 5 (17.2) | 0.369 | 0 (0.0) |
| HBV | 11 (6.5) | 1 (3.4) | 0.521 | 0 (0.0) |
| HCV | 44 (26.2) | 9 (31.0) | 0.589 | 0 (0.0) |
| Malignancy | 0 (0.0) | 0 (0.0) | 0 (0.0) | |
| Other | 37 (22.0) | 8 (27.6) | 0.512 | 0 (0.0) |
| Unknown | 6 (3.6) | 1 (3.4) | 0.973 | 0 (0.0) |
| Pre-transplant cardiovascular disease (yes/no) | 34 (20.2) | 7 (24.1) | 0.635 | 0 (0.0) |
| Pre-transplant hypertension | 37 (22.0) | 2 (6.9) | 0.059 | 0 (0.0) |
| Pre-transplant diabetes | 35 (20.8) | 2 (6.9) | 0.076 | 0 (0.0) |
| Post-transplant hypertension | 113 (67.2) | 19 (65.5) | 0.854 | 0 (0.0) |
| Post-transplant diabetes | 117 (69.6) | 18 (62.1) | 0.419 | 0 (0.0) |
- Citation: Koivu A, Azarfar G, Shojaee M, Hlaing NKT, Rizvi S, Sharma D, Maleki S, Bhat M. Machine learning model integrating transient elastography and clinical data for prediction of graft fibrosis after liver transplantation. World J Hepatol 2026; 18(6): 120258
- URL: https://www.wjgnet.com/1948-5182/full/v18/i6/120258.htm
- DOI: https://dx.doi.org/10.4254/wjh.120258