Retrospective Cohort Study
Copyright ©The Author(s) 2018.
World J Gastroenterol. Nov 21, 2018; 24(43): 4920-4927
Published online Nov 21, 2018. doi: 10.3748/wjg.v24.i43.4920
Table 1 Demographics and baseline clinical characteristics for recipients n (%)
VariablePTMS (n = 20)Non-PTMS (n = 127)P value
Demographics
Age, yr46.3 ± 9.045.5 ± 11.00.746
Male17 (85.0)104 (81.9)0.735
BMI, kg/m223.5 ± 4.321.8 ± 2.80.021
MELD score18.4 ± 8.317.7 ± 8.50.768
Child-Pugh score10.5 ± 2.210.0 ± 2.00.374
Smoking5 (25.0)39 (30.7)0.604
Alcohol6 (30.0)19 (15.0)0.096
HBV13 (65.0)85 (66.9)0.865
HCV1 (5.0)14 (11.0)0.408
Pre-LT comorbidity
Obesity4 (20.0)4 (3.1)0.002
Diabetes mellitus4 (20.0)13 (10.2)0.210
Hypertension1 (5.0)4 (3.1)0.671
Dyslipidemia2 (10.0)13 (10.2)0.974
Metabolic syndrome3 (10.0)4 (3.1)0.020
Laboratory test
Pre-LT serum uric acid, μmol/L265 ± 116280 ± 970.545
Pre-LT serum creatinine, μmol/L55.2 ± 16.960.0 ± 19.00.288
Pre-LT eGFR, mL/min per 1.73 m2158.7 ± 54.6139.2 ± 43.90.076
Operative characteristic
Anhepatic phase, min50.8 ± 9.553.5 ± 11.30.193
Operation time, h6.7 ± 1.56.2 ± 1.10.084
Length of ICU stay, d6.9 ± 3.06.8 ± 3.60.923
Post-LT clinical characteristic
Steroid-free protocol for HCC3 (15.0)43 (33.9)0.091
Tacrolimus use ≥ 24 mo12 (60.0)68 (53.5)0.590
Cyclosporine use ≥ 24 mo8 (40.0)59 (46.5)0.590
MMF use ≥ 24 mo13 (65.0)84 (66.1)0.920
Acute graft rejection3 (15.0)12 (9.4)0.446
Biliary complication3 (15.0)28 (22.0)0.472
Acute kidney injury7 (35.0)13 (10.2)0.002
Hyperuricemia11 (55.0)19 (15.0)0.002
Table 2 Demographics and clinical characteristics for donors
VariablePTMS (n = 20)Non-PTMS (n = 127)P value
Demographics
Age, yr42.0 ± 13.741.0 ± 14.30.762
Male, n (%)17 (85.0)104 (81.9)0.735
BMI, kg/m224.0 ± 4.722.2 ± 3.20.029
Operative characteristic
WIT, min10.8 ± 2.79.2 ± 2.50.034
CIT, h5.1 ± 1.95.2 ± 1.60.864
Table 3 Univariate analysis for the factors associated with posttransplant metabolic syndrome
VariableOR (95%CI)P value
Age1.26 (0.48-3.31)0.642
Male1.25 (0.34-4.64)0.735
Smoking1.33 (0.45-3.92)0.605
Alcohol2.44 (0.83-7.13)0.104
HBV0.92 (0.34-2.47)0.865
HCV0.43 (2.25-13.6)0.408
BMI7.69 (1.75-33.8)0.007
Pre-LT diabetes mellitus2.19 (0.64-7.55)0.214
Pre-LT hypertension1.62 (0.17-15.3)0.674
Pre-LT dyslipidemia2.17 (0.27-17.5)0.469
Donor age2.42 (0.67-8.74)0.178
Donor BMI1.91 (0.37-9.90)0.443
WIT1.21 (1.04-1.41)0.014
CIT0.95 (0.69-1.31)0.741
Steroid-free protocol for HCC0.35 (0.10-1.24)0.065
Tacrolimus use ≥ 24 mo1.77 (0.39-4.01)0.591
Cyclosporine use ≥ 24 mo1.30 (0.50-3.40)0.591
MMF use ≥ 24 mo1.05 (0.39-2.83)0.920
Acute graft rejection1.69 (0.43-6.61)0.450
Biliary complication0.48 (0.17-2.28)0.467
Acute kidney injury4.72 (1.60-14.0)0.005
Hyperuricemia6.95 (2.54-19.0)< 0.001
Table 4 Multivariate analysis for the factors associated with posttransplant metabolic syndrome
VariableOR (95%CI)P value
Steroid-free protocol for HCC0.22 (0.41-1.16)0.219
BMI10.9 (1.38-86.3)0.024
Warm ischemia time1.23 (1.01-1.50)0.045
Acute kidney injury3.58 (0.94-13.6)0.062
Hyperuricemia11.8 (2.85-48.8)0.001
Table 5 Serum uric acid level change of patients who did and did not develop posttransplant metabolic syndrome
Time pointPTMS
Non-PTMS
Mean ± STD, μmol/LOverall P valueMean ± STD, μmol/LOverall P value
Pre-LT(Baseline)255 ± 96< 0.001273 ± 84< 0.001
P1st mo400 ± 118350 ± 103
P3rd mo432 ± 80355 ± 81
P6th mo446 ± 72360 ± 78
P12th mo460 ± 96360 ± 83
P24th mo512 ± 76348 ± 90
Table 6 Correlation coefficient between serum uric acid level and estimated glomerular filtration rate in patients who did and did not develop posttransplant metabolic syndrome
PTMS
Non-PTMS
rP valuerP value
Pre-LT-0.74< 0.001-0.280.002
P1 mo-Baseline-0.440.052-0.43< 0.001
P3 mo-Baseline0.0760.750-0.220.014