©2009 The WJG Press and Baishideng.
World J Gastroenterol. Jun 14, 2009; 15(22): 2768-2777
Published online Jun 14, 2009. doi: 10.3748/wjg.15.2768
Published online Jun 14, 2009. doi: 10.3748/wjg.15.2768
Table 1 Baseline characteristics of the patient population
| Variables | Derivation set n = 172 | Validation set n = 85 |
| Follow-up period | 56 (4-104) | 58 (8-104) |
| Age (yr) | 56 (20-79) | 59 (23-78) |
| Sex, n (%) | ||
| Male | 106 (62) | 58 (68) |
| Female | 66 (38) | 27 (32) |
| Cause of cirrhosis, n (%) | ||
| Alcohol | 30 (17) | 16 (19) |
| Alcohol plus viral infection | 15 (9) | 4 (5) |
| HBV | 20 (12) | 12 (14) |
| HCV | 92 (53) | 50 (59) |
| Viral co-infection (HBV/HCV) | 1 (1) | 1 (1) |
| Unknown | 13 (7) | 1 (1) |
| NAFL | 1 (1) | 1 (1) |
| Complications on admission, n (%) | ||
| Ascites | ||
| Absent or controlled | 147 (85) | 72 (85) |
| Uncontrolled | 25 (15) | 13 (15) |
| BEV | ||
| Absent or present without relapses | 167 (97) | 79 (94) |
| Present with relapses | 5 (3) | 5 (6) |
| Encephalopathy | ||
| Absent or controlled | 160 (93) | 79 (93) |
| Uncontrolled | 12 (7) | 6 (7) |
| SBP | ||
| Absent or present without relapses | 168 (98) | 82 (96) |
| Present with relapses | 4 (2) | 3 (4) |
| Hepatorenal syndrome, n (%) | 3 (2) | 1 (1) |
| Prothrombin time (s) | 19 (13-55) | 17 (13-53) |
| Partial thromboplastin time (s) | 38 (26-165) | 39 (26-167) |
| INR for prothrombin time | 1.7 (1-7.5) | 1.5 (1-6.9) |
| Albumin (g/L) | 37 (20-48) | 36 (21-47) |
| Creatinine (mmol/L)1 | 100 (42-516) | 98 (39-489) |
| Bilirubin (mmol/L)2 | 20 (8-130) | 23 (12-137) |
| Cholesterol (mmol/L) | 3.8 (1.9-10.2) | 3.9 (2-9.6) |
| Child-Pugh score3 | 7 (5-14) | 7 (5-14) |
| Child-Pugh A, n (%) | 67 (39) | 30 (35) |
| Child-Pugh B, n (%) | 75 (44) | 34 (40) |
| Child-Pugh C, n (%) | 30 (17) | 21 (25) |
| MELD score | 17 (9-42) | 18 (10-43) |
| BioCliM score | 7.7 (6.1-13.6) | 7.9 (6-13.8) |
- Citation: Gomez EV, Bertot LC, Oramas BG, Soler EA, Navarro RL, Elias JD, Jiménez OV, Vazquez MDRA. Application of a biochemical and clinical model to predict individual survival in patients with end-stage liver disease. World J Gastroenterol 2009; 15(22): 2768-2777
- URL: https://www.wjgnet.com/1007-9327/full/v15/i22/2768.htm
- DOI: https://dx.doi.org/10.3748/wjg.15.2768