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Table 1 Demographic, operative and postoperative characteristics according to post hepatic liver failure (PHLF)

From: Can 3D imaging modeling recognize functional tissue and predict liver failure? A retrospective study based on 3D modelling of the major hepatectomies after hepatic modulation

 

PHLF < B

n = 18

PHLF > B

n = 6

p

Age, years Median (range)

70 (42–77)

72 (60–79)

0,773

Sex n(%)

M/F

12 (66)/6(33)

1 (17)/5(83)

0,048

BMI kg/m2 Median (range)

23,3 (21–27)

22 (19–24)

0,786

ASA n(%)

  

0,454

 I-II

10 (56)

38 (50)

 

 III

8 (44)

3 (50)

 

Bilirubine md/dl Median (range)

0,9 (0,14–3,72)

7,5 (4,57–14)

0,003

INR Median (range)

1,2 (1,05–1,57)

1,57 (1,20–2,5)

0,020

Creatinine mg/dl Median (range)

0,63 (0,31–1,22)

1,12 (0,75–1,77)

0,010

Histology type n (%)

  

0,321

 IHCC

5 (27)

2 (33)

 

 Hepatocarcinoma

1 (6)

1 (16)

 

 Metastases

12 (67)

2 (33)

 

 Sclerosing Cholangitis

0

1 (16)

 

Hepatectomy n (%)

  

0,127

 Extended RH

11 (61)

2 (33)

 

 Extended LH

2 (11)

0

 

 RH

3 (17)

2 (33)

 

 RH + metastasect

2 (11)

0

 

 Extended RH + metastasectomy

2 (11)

1 (16)

 

 Extended LH + metastasectomy

0

1 (16)

 

Chemotherapy n (%)

  

0,422

 yes

11 (64,7)

3 (42,8)

 

 no

6 (35,3)

4 (57,2)

 

Blood loss, ml Median (range)

500 (200–800)

200 (0–500)

0,655

Hospital stay, days Median (range)

28,7 (15–90)

9,2 (6–35)

0,272

Surgical Technique n (%)

  

0,560

 PVE

3

10

 

 ALLPS

3

8