Research Article
The Association of Flow-Mediated Dilatation and Blood Parameters in Primary Raynaud’s Phenomenon
Table 3
Multiple binary logistic regression analysis.
| | B | SE | Wald | df | Sig. | Exp (B) | 95% CI for Exp (B) | Lower | Upper |
| FMD (ref: normal), abnormal | 2.202 | 0.761 | 8.378 | 1 | 0.004 | 9.039 | 2.036 | 40,138 | WBC (ref: up to 6.82), 6.82 or higher | 1.693 | 0.730 | 5.371 | 1 | 0.020 | 5.433 | 1.298 | 22.734 | MCP (ref: up to 273.30), 273.30 or higher | 3.034 | 0.931 | 10.611 | 1 | 0.001 | 20.774 | 3.348 | 128.896 | Constant | −0.066 | 0.472 | 0.020 | 1 | 0.888 | 0.936 | | | (A) Variable (s) entered on step 1: FMD, Kwbc, Kmcp1 | Model summary | | −2 log likelihooda | Cox and Snell R square | Nagelkerke’s R square | Step | Step | | | 1 | 51.540 | 0.477 | 0.643 | | 1 | | (a) The cutoff value is 0.500 | Classification table | Observed | Predicted | Groups | Percentage correct | Control | Raynaud | Step 1 | Groups | Control and Raynaud’s | 25 | 5 | 83.3 | | 6 | 37 | 86.0 | Overall percentage | | | 84.9 |
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