Copyright
©The Author(s) 2020.
World J Hepatol. Jun 27, 2020; 12(6): 298-311
Published online Jun 27, 2020. doi: 10.4254/wjh.v12.i6.298
Published online Jun 27, 2020. doi: 10.4254/wjh.v12.i6.298
Factor | Training cohort (n = 436) | Validation cohort A (n = 336) | P value | ||
n | Statistics | n | Statistics | ||
Gender | 436 | 336 | < 0.0302 | ||
Female | 151 (34.6) | 142 (42.3) | |||
Male | 285 (65.4) | 194 (57.7) | |||
Serum bilirubin | 435 | 4.2 (2.0, 10.4) | 336 | 5.0 (2.0, 13.5) | < 0.261 |
PT | 436 | 16.8 (14.2, 20.7) | 336 | 18.0 (14.8, 23.5) | < 0.0031 |
WBC | 436 | 7.5 (5.0, 11.4) | 336 | 8.3 (5.0, 14.0) | < 0.0401 |
MAP | 436 | 65.0 (56.0, 106.0) | 336 | 64.0 (56.0, 75.0) | < 0.261 |
Non-liver specific scores | |||||
APACHE III | 435 | 83.0 (65.0, 102.0) | 333 | 88.0 (70.0, 109.0) | < 0.0061 |
SOFA | 263 | 10.0 (8.0, 12.0) | 186 | 11.0 (8.0, 14.0) | < 0.0031 |
Liver specific scores | |||||
MELD | 435 | 22.0 (16.0, 30.0) | 336 | 25.0 (17.0, 33.0) | < 0.0041 |
MELD-Na | 435 | 24.0 (18.0, 31.0) | 336 | 27.0 (20.0, 34.0) | < 0.0061 |
CLIF-SOFA | 262 | 11.0 (9.0, 13.0) | 336 | 11.0 (9.0, 13.0) | < 0.531 |
RFH | 259 | 0.05 (-0.77, 1.1) | 184 | 0.83 (-0.18, 2.1) | < 0.0011 |
LIV-4 | 435 | 16.8 (5.7, 43.6) | 336 | 23.0 (7.1, 57.7) | < 0.0071 |
Admission outcomes | |||||
ICU LOS (d) | 436 | 2.6 (1.4, 5.2) | 336 | 3.7 (2.0, 7.6) | < 0.0011 |
Hospital LOS (d) | 436 | 8.7 (4.7, 16.8) | 336 | 11.7 (5.7, 22.0) | < 0.0021 |
Hospital discharge status | 436 | 336 | < 0.172 | ||
Discharged alive | 317 (72.7) | 229 (68.2) | |||
In-hospital death | 119 (27.3) | 107 (31.8) |
- Citation: Lindenmeyer CC, Flocco G, Sanghi V, Lopez R, Kim AJ, Niyazi F, Mehta NA, Kapoor A, Carey WD, Mireles-Cabodevila E, Romero-Marrero C. LIV-4: A novel model for predicting transplant-free survival in critically ill cirrhotics. World J Hepatol 2020; 12(6): 298-311
- URL: https://www.wjgnet.com/1948-5182/full/v12/i6/298.htm
- DOI: https://dx.doi.org/10.4254/wjh.v12.i6.298