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Table 5 Variables showing prognostic significance for in-hospital mortality

From: Proteinuria can predict prognosis after liver transplantation

Parameters

Beta Coefficient

Standard error

Odds ratios (95 % CI)

P-value

Univariate logistic regression

 BMI on admission (kg/m2)

−0.247

0.050

0.781 (0.708–0.861)

<0.001

 History of chronic kidney disease

1.167

0.437

3.211 (1.364–7.557)

0.008

 Proteinuria on admission

1.480

0.398

4.391 (2.011–9.587)

<0.001

 Hemoglobin on admission (g/dL)

−0.218

0.083

0.804 (0.683–0.947)

0.009

 Total bilirubin on admission (mg/dL)

0.037

0.011

1.038 (1.015–1.061)

0.001

 Donor type (DDLT /LDLT)

−0.41

0.169

0.664 (0.477–0.925)

0.015

 A-a gradient on admission

0.009

0.003

1.009 (1.002–1.016)

0.007

 Child-Pugh points on admission

0.176

0.070

1.193 (1.040–1.368)

0.012

 MELD score on admission

0.046

0.056

1.047 (0.999–1.098)

NS (0.056)

 SOFA score on admission

0.219

0.057

1.245 (1.114–1.391)

<0.001

 Blood loss volume during operation (ml)

<0.001

<0.001

1.000 (1.000–1.000)

0.003

 Length of ICU stay (days)

0.018

0.006

1.018 (1.007–1.029)

0.002

Multivariate logistic regression

 Proteinuria on admission

1.320

0.478

3.745 (1.468–9.554)

0.006

 SOFA on admission

0.157

0.067

1.170 (1.027–1.333)

0.019

 Constant

−2.471

0.245

0.085

<0.001

  1. On performing multivariate logistic regression, the presence of proteinuria on admission and SOFA score on admission had independent prognostic significance for assessing in-hospital mortality
  2. Abbreviation: MELD model for end-stage liver disease, SOFA sequential organ failure assessment