Table 5 A prediction model of inflammatory arthritis versus non-inflammatory arthritis musculoskeletal disorders (N = 80)
From: Clinimetric properties of the Chinese version of the early inflammatory arthritis detection tool
Variable in the prediction model of inflammatory arthritis versus non-inflammatory arthritis | odds ratio (95 % CI) | p value |
|---|---|---|
Sex (female as reference group) | 6.94 (1.66–29.08) | 0.008 |
1. Do you have pain in your joints? | 0.23 (0.06–0.98) | 0.046 |
3. Are your hands or wrists swollen? | 8.88 (2.04–38.59) | 0.004 |
9. Have you ever been told that you have rheumatoid arthritis? | 16.38 (3.93–68.30) | <0.001 |
Intercept of the model (β coefficient) | −0.64 | – |
Nagelkerke R2 | 0.529 | – |
Performance parameter of the prediction model | ||
Area under the ROC curve (95 % CI) | 0.88 (0.80–0.96) | |
Optimal cut-off point | 0.60 | |
Youden index J | 0.71 | |
Sensitivity (95 % CI) | 0.84 (0.71–0.93) | |
Specificity (95 % CI) | 0.86 (0.68–0.96) | |
Positive predictive value (95 % CI) | 0.92 (0.79–0.97) | |
Negative predictive value (95 % CI) | 0.76 (0.57–0.88) | |