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. 2020 Aug 7;73(9):e3419–e3427. doi: 10.1093/cid/ciaa1104

Table 3.

Association of the Biomarker With the Treatment Outcomes at Baseline

Univariate Model Multivariate Model
Marker OR (95% CI) P Value Adjusted ORa (95% CI) P Value
CCL2 1.26 (1.03–1.54) .025 1.26 (1.02–1.56) .035
CCL3 4.41 (2.84–6.83) <.001 4.89 (2.99–7.99) <.001
CCL4 1.30 (1.11–1.52) .001 1.36 (1.15–1.61) <.001
CCL5 1.17 (.84–1.62) .351 1.18 (.83–1.66) .359
CCL11 0.89 (.69–1.14) .357 0.89 (.69–1.17) .407
CCL19 1.18 (.96–1.45) .109 1.18 (.95–1.46) .142
CCL20 0.97 (.77–1.21) .775 0.97 (.77–1.23) .830
CXCL1 0.50 (.37–.67) <.001 0.45 (.33–.63) <.001
CXCL8 2.71 (1.99–3.68) <.001 2.84 (2.05–3.92) <.001
CXCL10 2.91 (2.10–4.03) <.001 2.95 (2.10–4.15) <.001
CX3CL1 1.65 (1.14–2.38) .008 1.70 (1.15–2.53) .008

Abbreviations: CI, confidence interval; OR, odds ratio.

aMultivariate logistic regression models study the association of biomarker with treatment outcomes (unfavorable) and are adjusted for age in years, gender, body mass index, diabetes status, smoking status, alcohol status, and smear grading.