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Retrospective Cohort Study
Copyright: ©Author(s) 2026.
World J Gastroenterol. Aug 14, 2026; 32(30): 118301
Published online Aug 14, 2026. doi: 10.3748/wjg.118301
Table 1 Baseline characteristics of the study population
Variable
Overall (n = 1536)
Survived (n = 962)
Died (n = 574)
P value
MDF51.00 (40.00-68.00)45.50 (37.00-57.00)64.00 (51.00-82.75)< 0.001
MELD16.00 (13.00-20.00)14.00 (12.00-17.00)19.00 (16.00-24.00)< 0.001
Gender (male)1495 (97.3)934 (97.1)561 (97.7)0.515
Age (year)48.00 (42.00-54.00)48.00 (41.00-54.00)48.00 (43.00-55.00)0.086
ALB (g/L)26.00 (22.00-29.00)27.00 (23.00-30.00)24.00 (20.00-28.00)< 0.001
GLO (g/L)29.00 (23.00-35.00)30.00 (24.00-36.00)27.00 (21.00-33.00)< 0.001
ALT (U/L)31.00 (21.00-47.00)29.00 (20.00-42.00)35.00 (23.00-54.00)< 0.001
AST (U/L)69.00 (46.00-111.00)64.00 (44.00-102.75)81.00 (52.00-124.00)< 0.001
ALP (U/L)136.00 (103.00-182.00)139.00 (106.00-186.00)130.00 (95.00-177.00)0.008
GGT (U/L)70.00 (32.00-166.00)73.00 (33.00-165.00)66.50 (30.00-167.50)0.371
TBA (μmol/L)131.00 (70.83-198.25)127.75 (72.00-199.75)136.00 (65.25-197.00)0.952
PTS (second)20.00 (18.00-23.00)19.00 (18.00-21.75)22.00 (20.00-26.00)< 0.001
PTA (%)37.00 (31.10-42.10)38.90 (34.00-42.80)33.50 (27.02-39.80)< 0.001
TBIL (μmol/L)165.40 (97.10-302.15)129.05 (80.53-235.73)241.35 (149.90-372.05)< 0.001
INR1.74 (1.60-1.99)1.68 (1.58-1.88)1.90 (1.68-2.23)< 0.001
CRE (μmol/L)83.00 (68.00-112.25)76.00 (64.00-95.00)107.00 (79.25-164.75)< 0.001
TG (mmol/L)0.90 (0.60-1.37)0.95 (0.64-1.37)0.82 (0.55-1.39)0.001
CHE (U/L)2067.00 (1504.75-2707.25)2236.00 (1672.25-2842.75)1762.00 (1312.00-2469.50)< 0.001
CK (U/L)67.00 (39.00-118.00)69.00 (40.00-118.00)65.00 (39.00-119.00)0.979
FE (μmol/L)19.80 (13.50-26.10)20.00 (13.12-27.00)19.50 (14.10-24.78)0.388
AFP (ng/mL)4.54 (2.77-8.00)4.40 (2.81-7.84)4.80 (2.73-8.88)0.305
HGB (g/L)97.00 (79.00-113.00)99.00 (83.00-115.00)92.70 (74.00-108.00)< 0.001
PLT (× 109/L)71.00 (46.00-113.00)72.50 (48.00-117.75)68.20 (43.20-106.00)0.017
SBP (yes)473 (30.8)238 (24.7)235 (40.9)< 0.001
Pulmonary infection (yes)261 (17.0)107 (11.1)154 (26.8)< 0.001
HRS (yes)108 (7.0)31 (3.2)77 (13.4)< 0.001
HE (yes)373 (24.3)139 (14.4)234 (40.8)< 0.001
Gastrointestinal bleeding (yes)174 (11.3)76 (7.9)98 (17.1)< 0.001
Glucocorticoid (yes)96 (6.2)41 (4.2)55 (9.6)< 0.001
Table 2 Comparison of baseline characteristics between the training and test sets
Variable
Training set (n = 1076)
Test set (n = 460)
P value
MDF51.00 (40.00-67.25)51.00 (40.00-69.00)0.736
MELD16.00 (13.00-20.00)15.00 (13.00-19.00)0.357
Gender (male)1048 (97.4)447 (97.2)0.863
Age (years)48.00 (42.00-54.00)49.00 (43.00-55.00)0.093
ALB (g/L)26.00 (22.00-29.00)26.00 (22.00-29.00)0.313
GLO (g/L)29.00 (23.00-35.00)29.00 (23.00-36.00)0.464
ALT (U/L)30.00 (21.00-45.25)31.00 (21.00-49.00)0.288
AST (U/L)69.00 (46.00-110.00)69.00 (47.00-113.25)0.664
ALP (U/L)137.00 (103.00-185.00)135.00 (104.00-176.25)0.726
GGT (U/L)69.00 (31.00-168.00)74.50 (35.00-159.50)0.254
TBA (μmol/L)131.00 (69.00-197.00)130.50 (74.07-201.75)0.417
PTS (second)20.00 (18.00-23.00)20.00 (18.00-23.00)0.484
PTA (%)36.95 (31.08-42.30)37.10 (31.27-42.00)0.631
TBIL (μmol/L)165.05 (97.10-305.95)166.10 (97.08-293.00)0.863
INR1.73 (1.60-1.99)1.76 (1.60-2.00)0.404
CRE (μmol/L)83.00 (67.00-116.00)83.00 (68.00-107.00)0.434
TG (mmol/L)0.88 (0.60-1.37)0.94 (0.63-1.37)0.349
CHE (U/L)2054.00 (1492.75-2703.00)2080.50 (1524.50-2734.25)0.343
CK (U/L)69.00 (40.00-119.00)65.00 (38.00-115.25)0.298
FE (μmol/L)19.55 (13.20-26.00)20.25 (14.57-26.70)0.133
AFP (ng/mL)4.54 (2.75-8.02)4.53 (2.81-8.00)0.871
HGB (g/L)96.00 (79.00-113.00)99.00 (80.00-113.00)0.503
PLT (× 109/L)71.20 (46.00-113.00)71.00 (47.00-112.25)0.875
SBP (yes)323 (30.0)150 (32.6)0.334
Pulmonary infection (yes)195 (18.1)66 (14.3)0.075
HRS (yes)82 (7.6)26 (5.7)0.191
HE (yes)263 (24.4)110 (23.9)0.846
Gastrointestinal bleeding (yes)126 (11.7)48 (10.4)0.538
Glucocorticoid (yes)73 (6.7)24 (5.0)0.247
Table 3 Performance of the best-machine learning model and traditional scores in the training and test sets
Dataset
Model
AUC
Accuracy
Sensitivity
Specificity
Kappa
Test setBest-ML (XGBoost)0.848 (0.813-0.883)0.7850.7190.8240.541
Training setBest-ML (XGBoost)0.837 (0.795-0.880)0.7520.7330.7640.491
Test setMELD0.821 (0.784-0.859)0.7150.3740.9170.323
Training setMELD0.804 (0.757-0.851)0.6930.3970.8950.314
Test setMDF0.787 (0.745-0.829)0.7090.3800.9030.312
Training setMDF0.713 (0.658-0.769)0.6430.3050.8740.195


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