Table 3.
Uni- and multivariable analyses of clinical and laboratory parameters with CLDQ total value
Variable | CLDQ total value | ||||||||
---|---|---|---|---|---|---|---|---|---|
Univariable analysis | Multivariable analysisa | Multivariable analysisb | |||||||
β | 95% CI | p | β | 95% CI | p | β | 95% CI | p | |
Sex | − 0.11 | − 0.31, 0.06 | 0.19 | − 0.13 | − 0.32, 0.07 | 0.19 | − 0.08 | − 0.34, 0.06 | 0.16 |
Age at study entry | − 0.07 | − 0.27, 0.10 | 0.37 | ||||||
Disease duration | − 0.07 | − 0.28, 0.11 | 0.37 | ||||||
Time since diagnosis (> 10 years) | − 0.16 | − 0.34, 0.02 | 0.09 | − 0.14 | − 0.34, 0.04 | 0.13 | − 0.14 | − 0.34, 0.06 | 0.16 |
AST | − 0.21 | − 0.41, − 0.02 | 0.03 | − 0.22 | − 0.42, − 0.03 | 0.02 | |||
ALT | − 0.05 | − 0.25, 0.15 | 0.64 | ||||||
gGT | − 0.09 | − 0.29, 0.11 | 0.38 | ||||||
IgG | 0.01 | − 0.21, 0.22 | 0.95 | ||||||
Steroids | − 0.09 | − 0.28, 0.10 | 0.33 | ||||||
Azathioprine monotherapy | 0.03 | − 0.16, 0.22 | 0.75 | ||||||
Azathioprine and steroid therapy | − 0.10 | − 0.30, 0.10 | 0.32 | ||||||
Incomplete remission | − 0.21 | − 0.43, − 0.02 | 0.03 | − 0.21 | − 0.38, − 0.02 | 0.04 | |||
Liver cirrhosis | − 0.11 | − 0.29, 0.08 | 0.25 | ||||||
AIH-overlap | − 0.02 | − 0.20, 0.17 | 0.89 | ||||||
Type 2 diabetes | − 0.21 | − 0.39, − 0.03 | 0.02 | − 0.17 | − 0.36, 0.02 | 0.08 | − 0.18 | − 0.38, 0.02 | 0.08 |
Arterial hypertension | − 0.15 | − 0.33, 0.03 | 0.11 |
Sex: 1 for male, 2 for female; Time since diagnosis (> 10 years): 1 for No, 2 for Yes; Steroids 1 for No, 2 for Yes; Azathioprine monotherapy: 1 for No, 2 for Yes; Azathioprine and steroid therapy: 1 for No, 2 for Yes; Incomplete remission: 1 for No, 2 for Yes; Liver Cirrhosis: 1 for No, 2 for Yes; AIH-Overlap: 1 for No, 2 for Yes; Type 2 Diabetes: 1 for No, 2 for Yes; Arterial Hypertension: 1 for No, 2 for Yes; ALT, Alanine-Aminotransaminase; AST, Aspartat-Aminotransaminase; gGT, Gamma-GT; IgG, Immunoglobulin G
At first, univariable analysis of data was done. With all factors showing a p-value < 0.1 and the clinical parameter ‘sex’, a multivariable linear regression model was built. Confidence Interval (CI) and Beta (β) show standardized values, respectively. Boldface indicates statistical significance. A p-value < 0.05 was considered statistically significant
aMultivariable linear regression model including the variables: sex, time since diagnosis, AST, type 2 diabetes
bMultivariable linear regression model including the variables: sex, time since diagnosis, incomplete remission, type 2 diabetes