Table 4.
Multivariate models predictive of death in A) compensated cirrhosis, B) decompensated cirrhosis
| Table 4A | ||
|---|---|---|
| Compensated (n=122) 24 deaths | ||
| variables | HR (95% CI) | −2LL |
| NULL MODEL | --- | 211.614 |
| Age | 1.08 (1.04-1.13) | 180.674 |
| MELD | --- | |
| Albumin | 0.22 (0.11-0.41) | |
| Age | 1.09 (1.04-1.13) | 184.317 |
| Child-Pugh score | 1.47 (1.14-1.89) | |
| Platelet count | 0.99 (0.98-1) | |
| Age | 1.1 (1.05-1.15) | 174.894 |
| Albumin | 0.22 (0.11-0.44) | |
| Platelet count | 0.99 (0.98-1) | |
| Age | 1.09 (1.04-1.13) | 177.340 |
| Albumin | 0.26 (0.13-0.53) | |
| Bilirubin | 1.3 (1.01-1.69) | |
| Table 4B. | ||
|---|---|---|
| Decompensated (n=120) 35 deaths | ||
| variables | HR (95% CI) | −2LL |
| NULL MODEL | --- | 303.923 |
| Creatinine | 1.34 (1.12-1.60) | 259.745 |
| Child-Pugh Score | 1.50 (1.27-1.78) | |
| AST | 1.01 (1.00-1.01) | |
| Creatinine | 2.12 (1.51-2.97) | 241.702 |
| Child-Pugh Score | 1.33 (1.12-1.59) | |
| platetet count | 0.99 (0.98-1) | |
| MELD | 1.11 (1.07-1.14) | 261.074 |
| albumin | 0.51 (0.34-0.77) | |
| AST | -NP | |
| MELD | 1.12 (1.08-1.17) | 238.292 |
| Albumin | 0.547 (0.36-0.82) | |
| Platelet count | 0.99 (0.98-1) | |
| Creatinine | 1.28 (1.1-1.48) | 281.753 |
| INR | 1.74 (1.36-2.23) | |
| Bilirubin | -NP | |
| Creatinine | 1.37 (1.17-1.61) | 273.624 |
| INR | 1.45 (1.09-1.93) | |
| albumin | 0.49 (0.3-0.79) | |
The best model is shown in italic. When comparing 2 models with the same number of variables, the lower −2LL the better the model in explaining the outcome (in this case, death). NP=not independently predictive of death (and therefore not included in the model)