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. Author manuscript; available in PMC: 2020 Mar 1.
Published in final edited form as: Liver Transpl. 2019 Mar;25(3):388–398. doi: 10.1002/lt.25363

Table 2 –

Multivariable Cox Regression and Competing Risks Regression Analyses: Variables Associated with Post-transplant HCC Recurrence

Multivariable Cox Regression
Competing Risks Regression
Hazard Ratio (95% CI) p-value Subhazard Ratio (95% CI) p-value
Variables of Interest

Etiology (ref = HCV)
 HBV 1.10 (0.83 – 1.45) 0.514 1.14 (0.86 – 1.51) 0.359
 EtOH 0.65 (0.51 – 0.83) 0.001* 0.66 (0.52 – 0.85) 0.001*
 NAFLD 0.87 (0.69 – 1.09) 0.223 0.88 (0.70 – 1.10) 0.267
 Autoimmune 0.87 (0.58 – 1.31) 0.510 0.90 (0.60 – 1.36) 0.612
 Other 1.10 (0.92 – 1.32) 0.294 1.13 (0.94 – 1.35) 0.202

Max AFP Range (ng/mL; ref <100)
 100 – 499 2.08 (1.77 – 2.45) <0.001* 2.02 (1.72 – 2.38) <0.001*
 500 – 1000 2.34 (1.73 – 3.17) <0.001* 2.26 (1.65 – 3.08) <0.001*
 >1000 4.06 (3.20 – 5.16) <0.001* 3.73 (2.92 – 4.77) <0.001*

Etiology-AFP Range Interaction 0.006* 0.015*

Covariates

Age (per 5 years) 1.05 (1.01 – 1.09) 0.008* 1.04 (1.00 – 1.08) 0.041*

Male Sex 1.36 (1.18 – 1.55) <0.001* 1.36 (1.19 – 1.55) <0.001*

Race (ref = white)
 Black 0.77 (0.64 – 0.93) 0.007* 0.73 (0.60 – 0.88) 0.001*
 Hispanic 0.82 (0.70 – 0.96) 0.015* 0.82 (0.70 – 0.97) 0.017*
 Asian 0.84 (0.68 – 1.04) 0.107 0.87 (0.70 – 1.08) 0.211
 Other 0.69 (0.42 – 1.13) 0.136 0.69 (0.41 – 1.15) 0.152

Waiting Time (per 3 months) 0.99 (0.98 – 1.00) 0.013* 0.99 (0.98 – 1.00) 0.022*

Largest Tumor at Transplant (cm) 1.11 (1.08 – 1.13) <0.001* 1.11 (1.07 – 1.15) <0.001*

Within Milan Criteria at Transplant 0.76 (0.60 – 0.96) 0.020* 0.77 (0.61 – 0.98) 0.031*

Locoregional Therapy Prior to Transplant 1.27 (1.13 – 1.43) <0.001* 1.29 (1.14 – 1.44) <0.001*

Downstaged Prior to Transplant 1.53 (1.09 – 2.14) 0.014* 1.53 (1.09 – 2.16) 0.014*
*

Statistically significant at the alpha = 0.05 level

**

MELD pre-transplant and number of viable tumors at transplant were not statistically significant at the alpha = 0.05 level and were removed from these models