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©The Author(s) 2022.
World J Transplant. Jun 18, 2022; 12(6): 120-130
Published online Jun 18, 2022. doi: 10.5500/wjt.v12.i6.120
Published online Jun 18, 2022. doi: 10.5500/wjt.v12.i6.120
Table 1 Baseline patient characteristics based on gender and presence of sarcopenia defined by low appendicular lean mass[8]
Non-sarcopenic (n = 355, 75.7%) | Sarcopenic (n = 114, 24.3%) | P value | |
Age, indication for transplantation | 55 (48, 60) | 54 (46, 58) | 0.253 |
Viral hepatitis | 106 (30%) | 32 (28%) | 0.715 |
Alcohol | 30 (8%) | 21 (18%) | 0.003a |
Hepatoma | 96 (27%) | 26 (23%) | 0.370 |
PBC/PSC/AIH | 66 (19%) | 18 (16%) | 0.497 |
Bilirubin (μmol/L) | 57 (28, 114) | 47.5 (25, 91.5) | 0.324 |
Albumin (g/L) | 29 (24, 33) | 30 (25, 25) | 0.172 |
INR | 1.4 (1.2, 1.7) | 1.4 (1.2, 1.6) | 0.786 |
Ascites | 188 (53%) | 71 (62%) | 0.082 |
Encephalopathy | 163 (46%) | 57 (50%) | 0.401 |
MELD score | 16 (12, 20) | 16 (12, 19) | 0.934 |
Operative data | |||
Total operative time (min) | 465 (397, 534) | 445 (291, 510) | 0.162 |
Peak ALT | 884 (509, 1525) | 933 (496, 1494) | 0.991 |
Cold ischaemic time (min) | 381 (318, 479) | 384 (303, 473) | 0.530 |
Warm ischaemic time (min) | 45 (39, 52) | 44 (38, 50) | 0.212 |
RBC transfusions (units) | 2 (0, 4) | 2 (0, 5) | 0.008a |
Table 2 The association of pre-transplant variables and 180-d post-transplant sepsis
Males (n = 338) | Females (n = 131) | |||
HR (95%CI) | P value | HR (95%CI) | P value | |
MELD | 1.04 (1.00, 1.08) | 0.051 | 1.06 (0.99, 1.12) | 0.074 |
APLM | 1.03 (0.87, 1.21) | 0.76 | 0.93 (0.70, 1.24) | 0.63 |
Upper limb LM | 0.42 (0.20, 0.89) | 0.024a | 0.74 (0.19, 2.95) | 0.67 |
Lower limb LM | 1.09 (0.92, 1.30) | 0.33 | 0.93 (0.67, 1.28) | 0.66 |
Total LM | 1.07 (0.99, 1.15) | 0.08 | 0.89 (0.76, 1.03) | 0.12 |
Total fat mass | 0.98 (0.91, 1.05) | 0.50 | 0.99 (0.90, 1.08) | 0.76 |
Ascites | 2.18 (1.32, 3.59) | 0.002a | 2.14 (0.95, 4.82) | 0.06 |
Table 3 The association of pre-transplant variables and acute cellular rejection within ninety days of liver transplantation
Males (n = 338) | Females (n = 131) | |||
HR (95%CI) | P value | HR (95%CI) | P value | |
MELD | 0.93 (0.89, 0.97) | 0.002 | 1.04 (0.99, 1.09) | 0.14 |
APLM | 0.87 (0.72, 1.05) | 0.16 | 1.10 (0.87. 1.4) | 0.43 |
Upper limb LM | 1.34 (0.67, 2.68) | 0.41 | 0.43 (0.12, 1.51) | 0.19 |
Lower limb LM | 0.80 (0.63, 1.01) | 0.063 | 1.17 (0.90, 1.52) | 0.23 |
Total LM | 0.83 (0.74, 0.92) | < 0.001a | 1.05 (0.95, 1.17) | 0.32 |
Total fat mass | 0.93 (0.87, 1.00) | 0.062 | 1.03 (0.95, 1.12) | 0.50 |
BMI | 0.91 (0.86, 0.96) | < 0.001a | 1.02 (0.97, 1.08) | 0.45 |
Ascites | 0.43 (0.26, 0.70) | < 0.001a | 1.51 (0.76, 3.00) | 0.24 |
Table 4 Correlation of variables at transplant assessment with post-transplant total hospital and intensive care length of stay
Males (n = 338) | Females (n = 131) | |||||||
Correlation1 (τb) | P value1 | Correlation2 (τb) | P value2 | Correlation1 (τb) | P value1 | Correlation2 (τb) | P value2 | |
Age | < -0.001 | 0.98 | 0.055 | 0.14 | 0.084 | -0.18 | 0.047 | 0.44 |
Total APLM | -0.027 | 0.48 | -0.004 | 0.91 | -0.029 | 0.65 | -0.012 | 0.84 |
Upper limb LM | -0.10 | 0.0078a | -0.090 | 0.015a | -0.079 | 0.21 | 0.019 | 0.75 |
Lower limb LM | < 0.001 | 0.99 | 0.017 | 0.64 | -0.018 | 0.76 | -0.018 | 0.76 |
Total LM | 0.32 | 0.037a | 0.055 | 0.13 | -0.012 | 0.84 | -0.012 | 0.84 |
Total fat mass | 0.036 | 0.33 | 0.048 | 0.20 | 0.039 | 0.53 | 0.039 | 0.53 |
MELD | 0.078 | 0.045a | 0.0087 | 0.058 | -0.037 | 0.56 | 0.087 | 0.17 |
Table 5 Correlation of model for end stage liver disease score and body composition parameters
- Citation: Hey P, Hoermann R, Gow P, Hanrahan TP, Testro AG, Apostolov R, Sinclair M. Reduced upper limb lean mass on dual energy X-ray absorptiometry predicts adverse outcomes in male liver transplant recipients. World J Transplant 2022; 12(6): 120-130
- URL: https://www.wjgnet.com/2220-3230/full/v12/i6/120.htm
- DOI: https://dx.doi.org/10.5500/wjt.v12.i6.120