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. 2011 Oct 28;71(5):674–680. doi: 10.1136/ard.2010.148890

Table 3.

Logistic regression model comparing the ability of baseline CRP and baseline biomarker levels for the prediction of clinical improvement at week 14

Model (true/predicted)* ASAS 20 response BASDAI 50 response ≥2 Unit improvement in BASFI score
Baseline CRP only*  NR R Accuracy NR R Accuracy NR R Accuracy
 Non-responder 14 11 Specificity: 56% 20 11 Specificity: 65% 21 10 Specificity: 68%
 Responder 11 39 Sensitivity: 78% 24 21 Sensitivity: 47% 18 27 Sensitivity: 60%
 Predictive value NPV 56% PPV 78% NPV 45% PPV 66% NPV 54% PPV 73%
Baseline biomarker* NR R Accuracy* NR R Accuracy* N R Accuracy*
 Non-responder 17 8 Specificity: 65% 26 18 Specificity: 59% 17 22 Specificity: 61%
 Responder 5 45 Sensitivity: 90% 3 29 Sensitivity: 91% 3 34 Sensitivity: 85%
 Predictive value NPV 77% PPV 85% NPV 90% PPV 65% NPV 85% PPV 61%
Predictors Weight OR p value Weight OR p value Weight OR p value
 Immunoglobulin M 1.24 3.46 0.006
 Insulin -0.50 0.61 0.007
 Leptin -0.69 0.50 0.0004
 N-terminal propeptide of type I collagen 1.98 7.24 0.001 1.41 4.10 0.007
 Tissue inhibitor of metalloproteinases 1 3.35 28.50 0.002
 Vascular endothelial growth factor 0.79 2.20 0.026
*

All biomarker values were log2-transformed before inclusion in the models. Both models are based on 76 patients.

Model accuracy (sensitivity, specificity, NPV, PPV) was estimated using cross-validation.

Weights are the coefficients in the logistic regression model. OR are the exponential of the weights. Multivariate p values are based on the inclusion of all terms in the model.

ASAS 20, at least 20% improvement in Assessment in SpondyloArthritis international Society response criteria; BASDAI 50, ≥50% improvement in the Bath ankylosing spondylitis disease activity index; BASFI, Bath ankylosing spondylitis functional index; CRP, C-reactive protein; NPV, negative predictive value; NR, non-responders; PPV, positive predictive value; R, responders.