The capacity of models using purely clinical findings and inflammatory markers (A) or both clinical findings and TA-MRA (B) to rule in or rule out a diagnosis of GCA using various descending probabilities to rule out a diagnosis of GCA and ascending probabilities to rule in a diagnosis of GCA using the models in Table 3
| . | Rule OUT GCA . | Ideal . | Rule IN GCA . | |||
|---|---|---|---|---|---|---|
| (A) Predicting GCA using clinical parameters | ||||||
| p | ≤0.10 | ≤0.25 | 0.364 | ≥0.50 | ≥0.75 | ≥0.90 |
| Sensitivity (%) | 98.2 | 89.3 | 71.4 | 50.0 | 20.5 | 2.7 |
| Specificity (%) | 7.0 | 43.9 | 64.9 | 83.0 | 96.5 | 100 |
| PPV (%) | 40.9 | 51.0 | 57.1 | 65.9 | 79.3 | 100 |
| NPV (%) | 85.7 | 86.2 | 77.6 | 71.7 | 65.0 | 61.1 |
| MCR (%) | 56.9 | 38.1 | 31.8 | 30.0 | 33.6 | 38.5 |
| (B) Predicting GCA using clinical parameters and TA-MRA | ||||||
| p | ≤0.10 | ≤0.25 | 0.301 | ≥0.50 | ≥0.75 | ≥0.90 |
| Sensitivity (%) | 98.0 | 76.2 | 69.3 | 62.3 | 52.4 | 10.9 |
| Specificity (%) | 13.1 | 71.4 | 82.1 | 91.7 | 95.2 | 99.4 |
| PPV (%) | 40.4 | 61.6 | 70.0 | 81.8 | 86.9 | 91.7 |
| NPV (%) | 91.7 | 83.3 | 81.7 | 80.2 | 76.9 | 65.0 |
| MCR (%) | 55.0 | 26.7 | 22.3 | 19.3 | 20.8 | 33.8 |
| . | Rule OUT GCA . | Ideal . | Rule IN GCA . | |||
|---|---|---|---|---|---|---|
| (A) Predicting GCA using clinical parameters | ||||||
| p | ≤0.10 | ≤0.25 | 0.364 | ≥0.50 | ≥0.75 | ≥0.90 |
| Sensitivity (%) | 98.2 | 89.3 | 71.4 | 50.0 | 20.5 | 2.7 |
| Specificity (%) | 7.0 | 43.9 | 64.9 | 83.0 | 96.5 | 100 |
| PPV (%) | 40.9 | 51.0 | 57.1 | 65.9 | 79.3 | 100 |
| NPV (%) | 85.7 | 86.2 | 77.6 | 71.7 | 65.0 | 61.1 |
| MCR (%) | 56.9 | 38.1 | 31.8 | 30.0 | 33.6 | 38.5 |
| (B) Predicting GCA using clinical parameters and TA-MRA | ||||||
| p | ≤0.10 | ≤0.25 | 0.301 | ≥0.50 | ≥0.75 | ≥0.90 |
| Sensitivity (%) | 98.0 | 76.2 | 69.3 | 62.3 | 52.4 | 10.9 |
| Specificity (%) | 13.1 | 71.4 | 82.1 | 91.7 | 95.2 | 99.4 |
| PPV (%) | 40.4 | 61.6 | 70.0 | 81.8 | 86.9 | 91.7 |
| NPV (%) | 91.7 | 83.3 | 81.7 | 80.2 | 76.9 | 65.0 |
| MCR (%) | 55.0 | 26.7 | 22.3 | 19.3 | 20.8 | 33.8 |
The calculated probability is the Unal cut-off point. PPV: positive predictive value; NPV: negative predictive value; MCR: misclassification rate.
The capacity of models using purely clinical findings and inflammatory markers (A) or both clinical findings and TA-MRA (B) to rule in or rule out a diagnosis of GCA using various descending probabilities to rule out a diagnosis of GCA and ascending probabilities to rule in a diagnosis of GCA using the models in Table 3
| . | Rule OUT GCA . | Ideal . | Rule IN GCA . | |||
|---|---|---|---|---|---|---|
| (A) Predicting GCA using clinical parameters | ||||||
| p | ≤0.10 | ≤0.25 | 0.364 | ≥0.50 | ≥0.75 | ≥0.90 |
| Sensitivity (%) | 98.2 | 89.3 | 71.4 | 50.0 | 20.5 | 2.7 |
| Specificity (%) | 7.0 | 43.9 | 64.9 | 83.0 | 96.5 | 100 |
| PPV (%) | 40.9 | 51.0 | 57.1 | 65.9 | 79.3 | 100 |
| NPV (%) | 85.7 | 86.2 | 77.6 | 71.7 | 65.0 | 61.1 |
| MCR (%) | 56.9 | 38.1 | 31.8 | 30.0 | 33.6 | 38.5 |
| (B) Predicting GCA using clinical parameters and TA-MRA | ||||||
| p | ≤0.10 | ≤0.25 | 0.301 | ≥0.50 | ≥0.75 | ≥0.90 |
| Sensitivity (%) | 98.0 | 76.2 | 69.3 | 62.3 | 52.4 | 10.9 |
| Specificity (%) | 13.1 | 71.4 | 82.1 | 91.7 | 95.2 | 99.4 |
| PPV (%) | 40.4 | 61.6 | 70.0 | 81.8 | 86.9 | 91.7 |
| NPV (%) | 91.7 | 83.3 | 81.7 | 80.2 | 76.9 | 65.0 |
| MCR (%) | 55.0 | 26.7 | 22.3 | 19.3 | 20.8 | 33.8 |
| . | Rule OUT GCA . | Ideal . | Rule IN GCA . | |||
|---|---|---|---|---|---|---|
| (A) Predicting GCA using clinical parameters | ||||||
| p | ≤0.10 | ≤0.25 | 0.364 | ≥0.50 | ≥0.75 | ≥0.90 |
| Sensitivity (%) | 98.2 | 89.3 | 71.4 | 50.0 | 20.5 | 2.7 |
| Specificity (%) | 7.0 | 43.9 | 64.9 | 83.0 | 96.5 | 100 |
| PPV (%) | 40.9 | 51.0 | 57.1 | 65.9 | 79.3 | 100 |
| NPV (%) | 85.7 | 86.2 | 77.6 | 71.7 | 65.0 | 61.1 |
| MCR (%) | 56.9 | 38.1 | 31.8 | 30.0 | 33.6 | 38.5 |
| (B) Predicting GCA using clinical parameters and TA-MRA | ||||||
| p | ≤0.10 | ≤0.25 | 0.301 | ≥0.50 | ≥0.75 | ≥0.90 |
| Sensitivity (%) | 98.0 | 76.2 | 69.3 | 62.3 | 52.4 | 10.9 |
| Specificity (%) | 13.1 | 71.4 | 82.1 | 91.7 | 95.2 | 99.4 |
| PPV (%) | 40.4 | 61.6 | 70.0 | 81.8 | 86.9 | 91.7 |
| NPV (%) | 91.7 | 83.3 | 81.7 | 80.2 | 76.9 | 65.0 |
| MCR (%) | 55.0 | 26.7 | 22.3 | 19.3 | 20.8 | 33.8 |
The calculated probability is the Unal cut-off point. PPV: positive predictive value; NPV: negative predictive value; MCR: misclassification rate.
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