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Table 3 Logistic regression analysis for PHLF

From: 99mTc-GSA scintigraphy and modified albumin–bilirubin score can be complementary to ICG for predicting posthepatectomy liver failure

Logistic regression analysis for PHLF

 

Univariable

Multivariable

Variables

OR

95% CI

P value

OR

95% CI

P value

Age

1.03

1.00–1.05

0.024

1.00

0.97–1.03

0.94

Major hepatectomy

1.75

1.02–2.98

0.04

3.22

1.63–6.39

 < 0.001

Child–Pugh classification

1.59

0.67–3.71

0.28

   

MELD score

1.02

0.96–1.09

0.52

   

mALBI grade

2.25

1.64–3.07

 < 0.001

1.72

1.17–2.52

0.006

LHL15

0.86

0.81–0.93

 < 0.001

1.01

0.97–1.06

0.58

ICG-R15

1.10

1.07–1.13

 < 0.001

1.08

1.04–1.12

 < 0.001

Esophagogastric varices

5.27

2.88–9.65

 < 0.001

2.95

1.34–6.47

0.007

 

Multivariable logistic regression analysis by subgroup on ICG-R15

 

ICG-R15 < 19 (N = 302)

ICG-R15 ≥ 19 (N = 82)

Variable

OR

95% CI

P value

OR

95% CI

P value

Age

1.03

0.99–1.07

0.14

0.98

0.92–1.03

0.40

Major hepatectomy

2.58

1.08–6.15

0.033

4.55

1.28–10.6

0.02

mALBI grade

1.75

1.10–2.77

0.017

1.85

0.89–3.86

0.10

LHL15

1.15

0.95–1.39

0.142

0.86

0.76–0.97

0.02

Esophagogastric varices

2.86

0.8–10.3

0.11

4.12

1.43–12.1

0.001

  1. Multivariable logistic regression analysis was conducted to reveal preoperative risk factors for PHLF
  2. MELD score Model for End Liver Disease, LHL15 radioactivity of the heart and liver after intravenous injection of 99mTc-GSA, ICG-R15 indocyanine green retention rate at 15 min, OR Odds ratio, 95% CI 95% confidential interval, PHLF Posthepatectomy liver failure