Table 5.
Regression models on the association between putative biomarkers and presence or absence of pain adjusting for covariates
| Continuous biomarker | Coefficient | 95% CI | p-value* |
|---|---|---|---|
| TGFβ1 | 2.28 | −0.77, 5.33 | 0.1427 |
| TGFβ2 | 14.94 | −2.36, 32.24 | 0.0905 |
| BDNF | −46.44 | −260.58, 167.69 | 0.6708 |
| GP130 | 4.45 | 0.93, 7.97 | 0.0131 |
| Resistin | 7.83 | −2.54, 18.20 | 0.1388 |
| MCP1 | 0.23 | 0.08, 0.38 | 0.0032 |
| PDGFB | 0.28 | 0.09, 0.47 | 0.0044 |
| IL-6 | 2.08 | −0.90, 5.07 | 0.1708 |
| Dichotomized biomarker | Odds ratio | 95% CI | p-value* |
| IL-4 | 1.09 | 0.93, 1.28 | 0.3090 |
| SP | 1.08 | 0.92, 1.26 | 0.3383 |
p-value from the regression models including covariates: etiology, pancreatitis duration, diabetes, pancreas duct stricture, gender, BMI, weight, age, prior acute pancreatitis and recurrent acute pancreatitis attacks. This analysis only includes putative biomarkers whose p-value from the regression analysis without covariate adjustment was greater than 0.2. The interpretation of the reported coefficient and odds ratio as measures of the effect size is the same as in Table 4, except that they are conditional on covariates here.