Table 3 Demographic, clinical, and laboratory characteristics of 259 patients
From: Multiphase CT-based prediction of Child-Pugh classification: a machine learning approach
Sex | N |
Men | 178 |
Women | 81 |
Age (years) | |
Median (IQR) | 63 (57–69) |
PT score | |
1 | 123 |
2 | 118 |
3 | 18 |
Bilirubin score | |
1 | 112 |
2 | 97 |
3 | 50 |
Albumin score | |
1 | 123 |
2 | 95 |
3 | 41 |
Ascites score | |
1 | 124 |
2 | 51 |
3 | 84 |
Encephalopathy | |
1 | 175 |
2 | 61 |
3 | 23 |
Child-Pugh Class | |
A | 76 |
B | 120 |
C | 63 |