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Table 1 Demographic, clinical and laboratory features of the study patients

From: Logistic regression model can reduce unnecessary artificial liver support in hepatitis B virus-associated acute-on-chronic liver failure: decision curve analysis

Characteristic

Value

Number of patients

232

Male/female

178 (76.7 %)/54 (23.3 %)

Age (years)

46.1 ± 10.5 (45; 21–69)

HBeAg positivity

142 (61.2 %)

HBV DNA (lg copies/mL)

4.1 ± 2.5

TBil (mg/dL)

22.2 ± 9.2

Cr (mg/dL)

0.93 ± 0.74

PTA (%)

27.1 ± 16.8

INR

4.2 ± 2.2

Albumin (g/L)

32.1 ± 5.0

Preexisting cirrhosis

112 (48.3 %)

Ascites

194 (83.6 %)

SBP

152 (65.5 %)

HE

64 (27.6 %)

HRS

37 (16.0 %)

MELD

29.0 ± 5.4

LRM

−0.6 ± 1.4

ALSS treatment

104 (44.8 %)

3-month survival

121(52.2 %)

  1. Note: Data presented as mean ± standard deviation or n (%)
  2. TBil total bilirubin, PTA prothrombin activity, INR international normalized ratio, SBP spontaneous bacterial peritonitis, HE hepatic encephalopathy, HRS hepatorenal, syndrome, MELD model for end-stage liver disease, LRM logistic regression model, ALSS artificial liver support system