Copyright
©The Author(s) 2020.
World J Transplant. Nov 28, 2020; 10(11): 345-355
Published online Nov 28, 2020. doi: 10.5500/wjt.v10.i11.345
Published online Nov 28, 2020. doi: 10.5500/wjt.v10.i11.345
Table 5 Distributions of normal and abnormal thromboelastography parameters at different times during the observation period, n (%)
| Thromboelastographicparameterss | Basal control | Basal cases | P value | 120 Post-rip control | 120 Post-rip cases | P value | |
| R basal | Minor | 4 (14) | 1 (4) | 0.371 | 4 (14) | 5 (18) | 0.099 |
| Major | 7 (26) | 8 (30) | 1 (4) | 6 (22) | |||
| Normal | 16 (60) | 18 (66) | 22 (82) | 16 (60) | |||
| MA basal | Minor | 13 (48) | 17 (63) | 0.420 | 20 (74) | 19 (70) | 0.950 |
| Major | 3 (11) | 1 (4) | 1 (4) | 1 (4) | |||
| Normal | 11 (41) | 9 (33) | 6 (22) | 7 (26) | |||
| Lysis 60’ basal | FS | 13 (48) | 15 (56) | 0.445 | 15 (55) | 23 (85) | 0.043 |
| Hyper | 5 (19) | 7 (26) | 7 (26) | 1 (4) | |||
| Physiol | 9 (33) | 5 (18) | 5 (19) | 3 (11) |
- Citation: De Pietri L, Montalti R, Bolondi G, Serra V, Di Benedetto F. Intraoperative thromboelastography as a tool to predict postoperative thrombosis during liver transplantation. World J Transplant 2020; 10(11): 345-355
- URL: https://www.wjgnet.com/2220-3230/full/v10/i11/345.htm
- DOI: https://dx.doi.org/10.5500/wjt.v10.i11.345