Early changes in blood-based joint tissue destruction biomarkers are predictive of response to tocilizumab in the LITHE study

Table 4 Logistic regression model for accessing the area under the curve (AUC) for different combinations

				Including age, BMI, gender and disease duration
Variables	AUC	95 % CI	P value	AUC	95 % CI	P value*
Baseline CTX-I/OC and delta 4 weeks C1M, C2M, C3M (n = 124)	0.79	0.71 to 0.86	0.0003	0.81	0.72 to 0.87	0.0025
Baseline CTX-I/OC and delta 4 weeks C2M (and age)	0.78	0.69 to 0.85	<0.0001	0.80	0.71 to 0.86	0.0001

The first row show results of applying an enter model, where all variable were added, whereas the second row provide a backward model where all non-significant variables were excluded (n = 124). BMI body mass index, CTX-I/OC C-terminal telopeptide of type I collagen/osteocalcin, CIM, C2M, and C3M matrix metalloproteinase-derived fragments of type I, type II and type III collagen. * P value for the full logistic model.

ISSN: 1478-6362