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Retrospective Cohort Study
©The Author(s) 2025.
World J Gastroenterol. Nov 7, 2025; 31(41): 111361
Published online Nov 7, 2025. doi: 10.3748/wjg.v31.i41.111361
Table 2 Baseline characteristics and outcomes of acute variceal bleeding patients treated with endoscopic variceal ligation plus pharmacotherapy or preemptive transjugular intrahepatic portosystemic shunt, mean ± SD/n (%)
Characteristics
High-risk for EVL + PT failure
Low-risk for EVL + PT failure
EVL + PT (n = 220)
p-TIPS (n = 704)
P value
EVL + PT (n = 1007)
p-TIPS (n = 1159)
P value
Demographic characteristics
Age (years)52.4 ± 10.952.6 ± 11.70.16753.3 ± 11.851.5 ± 12.50.042
Sex0.0110.020
Male162 (73.6)457 (64.9)715 (71.0)729 (62.9)
Female58 (26.4)247 (35.1)292 (29.0)430 (37.1)
Etiology of cirrhosis0.0720.005
Chronic HBV infection154 (70.0)476 (67.6)610 (60.6)761 (65.7)
Chronic HCV infection6 (2.7)35 (5.0)73 (7.2)100 (8.6)
Alcohol23 (10.5)63 (8.9)122 (12.1)92 (7.9)
Others18 (8.1)92 (13.1)123 (12.2)133 (11.5)
Cryptogenic19 (8.6)38 (5.4)79 (7.8)73 (6.3)
Medical history
Previous variceal bleeding93 (42.3)319 (45.3)0.537375 (37.2)447 (38.6)0.618
Location of varices0.6920.544
Esophageal varices only131 (59.5)432 (61.4)576 (57.2)679 (58.6)
Esophageal and gastric varices89 (40.5)272 (38.6)431 (42.8)480 (41.4)
Hepatic encephalopathy32 (14.5)116 (16.4)0.23683 (8.2)105 (9.1)0.280
Ascites0.0210.066
Mild89 (40.5)263 (37.3)366 (36.3)395 (34.1)
Moderate42 (19.1)144 (20.4)153 (15.2)220 (19.0)
Massive9 (4.1)72 (10.2)79 (7.8)104 (9.0)
Heart rate at admission (beats/minute)84.4 ± 14.483.1 ± 15.30.38487.8 ± 16.486.8 ± 15.70.033
Systolic blood pressure at admission (mmHg)112.0 ± 12.9113.8 ± 17.90.067117.4 ± 14.5115.8 ± 16.00.003
Diastolic blood pressure at admission (mmHg)67.5 ± 10.870.6 ± 12.40.00269.5 ± 9.968.1 ± 11.50.042
Laboratory examination
White blood cell (× 109 cell/L)8.4 ± 5.98.0 ± 3.90.2466.0 ± 3.96.3 ± 4.40.095
Red blood cell (× 109 cell/L)2.5 ± 0.72.4 ± 0.60.3872.8 ± 0.73.5 ± 7.30.003
Hemoglobin (g/L)75.2 ± 22.872.6 ± 22.60.03877.7 ± 22.382.5 ± 24.9< 0.001
Platelet count (× 109/L)87.0 ± 57.886.4 ± 54.30.88895.0 ± 89.097.6 ± 86.60.492
NEC (× 109/L)7.6 ± 8.86.8 ± 5.70.1155.1 ± 8.44.7 ± 5.90.196
AST (U/L)124.9 ± 233.5106.1 ± 167.50.18976.1 ± 493.450.3 ± 99.00.082
ALT (U/L)62.0 ± 101.955.6 ± 40.80.17649.6 ± 214.234.9 ± 40.80.022
TBIL (μmol/L)104.1 ± 120.860.2 ± 49.5< 0.00123.7 ± 23.827.3 ± 25.4< 0.001
Albumin (g/L)25.2 ± 4.625.6 ± 6.90.42129.2 ± 5.332.9 ± 8.7< 0.001
INR1.6 ± 0.52.1 ± 1.8< 0.0011.4 ± 2.91.4 ± 1.40.898
APTT (second)49.2 ± 19.146.2 ± 19.70.04736.0 ± 14.635.3 ± 10.90.203
TT (second)21.4 ± 3.822.1 ± 7.00.15619.5 ± 3.519.3 ± 5.40.315
PT (second)18.5 ± 6.723.9 ± 20.30.00114.2 ± 3.515.6 ± 3.4< 0.001
Creatinine (μmol/L)100 ± 82.986.8 ± 58.40.00982.5 ± 70.173.6 ± 44.1< 0.001
Risk stratification index
MELD score (points)13.5 ± 4.015.9 ± 6.50.00211.2 ± 3.612.5 ± 3.80.034
Child-Pugh score (points), median IQR7.9 (5.1-10.7)8.2 (6.1-10.3)0.0687.4 (5.5-9.3)7.2 (5.6-8.8)< 0.001
Child-Pugh class0.167< 0.001
A (5-6)42 (19.2)101 (14.4)254 (25.2)336 (29.0)
B (7-9)131 (59.5)424 (60.3)567 (56.3)719 (62.1)
C (10-13)47 (21.4)179 (25.4)186 (18.5)104 (8.9)
Early TIPS criteria< 0.001< 0.001
Low risk161 (73.2)390 (55.4)789 (78.4)707 (61.0)
High risk59 (26.8)314 (44.6)218 (21.6)452 (39.0)
Treatment procedure
Initial pharmacological therapy0.087< 0.001
Octreotide283 (28.1)314 (27.1)31 (14.1)140 (19.9)
Somatostatin597 (59.3)730 (63.0)152 (69.1)513 (72.9)
Terlipressin127 (12.6)115 (9.9)37 (16.8)51 (7.2)
p-TIPS stent diameter
< 8 mm137 (19.5)61 (5.3)
8 mm554 (78.2)1025 (88.4)
10 mm16 (2.3)73 (6.3)
Outcome measurements
6-week treatment failure to control bleeding87 (39.6)27 (3.8)< 0.00168 (6.8)22 (1.9)0.013
ICU requirement102 (46.4)144 (20.5)0.005172 (17.1)151 (13.0)0.049
1-year mortality82 (37.3)103 (14.6)< 0.001141 (14.0)121 (10.4)0.036
Treatment-related adverse events
Hepatic encephalopathy36 (16.4)285 (30.5)< 0.001150 (14.9)314 (27.1)< 0.001
New or worsening ascites12 (5.5)10 (1.4)< 0.00119 (1.9)10 (0.9)< 0.001

  • Citation: Xiang Y, Yang N, Zheng TL, Huang YF, Liu TY, Ma DQ, Hu SJ, Zhang WH, Xiang HL, Zhang LY, Yuan LL, Wang X, Dang T, Zhang G, Wu B, Peng LJ, Gao M, Xia DL, Liu ZB, Li J, Song Y, Zhou XQ, Qi XS, Zeng J, Tan XY, Deng MM, Fang HM, Qi SL, He S, He YF, Ye B, Wu W, Shao JB, Wei W, Hu JP, Yong X, He CH, Bao JL, Zhang YN, Ji R, Bo Y, Yan W, Li HJ, Li SL, Geng S, Zhao L, Liu B, Qi XL. Development of a deep learning model for guiding treatment decisions of acute variceal bleeding in patients with cirrhosis. World J Gastroenterol 2025; 31(41): 111361
  • URL: https://www.wjgnet.com/1007-9327/full/v31/i41/111361.htm
  • DOI: https://dx.doi.org/10.3748/wjg.v31.i41.111361

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