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. 2025 Jun 23;62(6):646–655. doi: 10.1111/apt.70233

TABLE 3.

Trend analysis of re‐compensation in decompensated PBC patients based on LMR.

Variable Univariate analysis Multivariate analysis
Model A Model B Model C
HR (95% CI) p HR (95% CI) p HR (95% CI) p HR (95% CI) p
LMR (quartile)
Quantile 1 Reference < 0.001 Reference < 0.001 Reference < 0.001 Reference < 0.001
Quantile 2 1.308 (0.534–3.2) 0.557 1.200 (0.487–2.958) 0.692 1.140 (0.461–2.817) 0.776 1.695 (0.614–4.681) 0.309
Quantile 3 3.376 (1.547–7.365) 0.002 2.951 (1.345–6.473) 0.007 2.913 (1.324–6.409) 0.008 3.356 (1.361–8.275) 0.009
Quantile 4 5.978 (2.845–12.561) < 0.001 4.947 (2.325–10.527) < 0.001 4.700 (2.197–10.056) < 0.001 4.925 (2.041–11.884) < 0.001
p for trend 1.924 (1.565–2.366) < 0.001 1.819 (1.475–2.244) < 0.001 1.798 (1.455–2.223) < 0.001 1.680 (1.334–2.115) < 0.001

Note: Model A: Adjusted for age, sex, adjusted BMI and LMR. Model B: Adjusted for age, sex, adjusted BMI, hypertension, coronary artery disease, diabetes mellitus and LMR. Model C: Adjusted for age, sex, adjusted BMI, hypertension, coronary artery disease, diabetes mellitus, multiple (≥ 2) decompensation events, total bilirubin, total bile acids, ALT, AST, ALP, GGT, anti‐sp100 antibody, anti‐gp210 antibody and LMR.