Research Article

Using Machine Learning Algorithms to Predict Hepatitis B Surface Antigen Seroclearance

Table 1

Summary of participant’s characteristics.

VariablesValue

Age (years)a40.58 ± 12.07
Gender (male)b1636 (73.2)
BMIa22.53 ± 3.96
Drinking historyb256 (11.5)
HBV family historyb1350 (60.4)
HCC family historyb188 (8.4)
Initial diagnosisb
 Inactive hepatitis B virus carrier12 (0.5)
 Chronic hepatitis B1966 (88.0)
 Hepatitis cirrhosis216 (9.7)
 Hepatocellular carcinoma41 (1.8)
Current diagnosisb
 Hepatitis B virus carrier13 (0.5)
 Chronic hepatitis B1875 (83.9)
 Hepatitis cirrhosis222 (9.9)
 Hepatocellular carcinoma125 (5.6)
ALTa (U/L)95.91 ± 167.82
ASTa (U/L)144.68 ± 280.77
GGTa (U/L)59.32 ± 79.35
PLTa (U/L)175.19 ± 67.53
ALBa (g/L)44.61 ± 5.37
TBILa (μmol/L)25.40 ± 52.83
DBILa (μmol/L)11.17 ± 41.19
PLTa (×109/L)175.19 ± 67.53
DNAa (log/IU/mL)5.57 ± 2.05
sAga (log/IU/mL)3.42 ± 0.81
eAga (log/IU/mL)0.71 ± 1.63
WBCa (×109/L)6.03 ± 1.93
HBa (g/L)140.66 ± 34.48
RLODa (mm)114.85 ± 27.92
PVWa (mm)11.37 ± 4.17
SLa (mm)102.74 ± 21.19
SPVWa (mm)6.17 ± 4.39
Initial treatmentb
 None874 (39.1)
 LMV248 (11.1)
 ADV277 (12.4)
 LdT111 (5.0)
 ETV610 (27.3)
 TDF62 (2.8)
 LMV + ADV47 (2.1)
 LdT + ADV4 (0.2)
 ETV + ADV2 (0.1)
Linesb
 01035 (46.3)
 1818 (36.6)
 2211 (9.4)
 393 (4.2)
 446 (2.1)
 518 (0.8)
 610 (0.5)
 71 (0.0)
 82 (0.1)
 91 (0.0)
Current treatmentb
 None1019 (45.6)
 LMV68 (3.0)
 ADV152 (6.8)
 LdT26 (1.2)
 ETV61 (27.4)
 TDF252 (11.3)
 LMV + ADV79 (3.5)
 LdT + ADV6 (0.3)
 ETV + ADV21 (0.9)
 IFNb115 (5.1)
VRb
 IVR332 (14.9)
 EVR976 (43.7)
 SOR976 (41.5)

aMean and standard deviation; bfrequencies and percentages; VR: virological response; IVR: initial virological response; EVR: early virological response; SOR: suboptimal virological response.