Median (IQR) | Model 1 | Model 2 | Model 3 | Model 4 | Model 5 | Model 6 | Model 7 | Model 8 | ||
---|---|---|---|---|---|---|---|---|---|---|
0 | 1 | |||||||||
Predicting a diagnosis of GCA | 0 | 2 (1–3) | 25 (57%) | 19 (43%) | 3 (2–4.2) | 1 (0.4–2.3) | 2.7 (1.9–3.4) | 1 (0.4–1.8) | 0 (0–1.4) | 1.3 (0.6–2.7) |
1 | 3 (1–5) | 60 (44%) | 75 (56%) | 3.3 (1.8–6.2) | 2.1 (0.8–4.4) | 3.2 (2.1–3.7) | 1.6 (0.7–2.3) | 2 (1.2–2.8) | 1 (0–1.8) | |
p | 0.028 | 0.21 | 0.52 | <0.001 | 0.47 | 0.003 | <0.001 | 0.35 | ||
TAB diagnostic for GCA | 0 | 2 (1–3.5) | 31 (61%) | 20 (39%) | 2.5 (1.2–3.4) | 1 (0.6–2.4) | 2.1 (1.2–3.5) | 1.2 (0.4–1.7) | 1.4 (1–2) | 0.3 (0–2.2) |
1 | 3 (2–5) | 24 (32%) | 52 (68%) | 5 (2.9–7.5) | 2.8 (1.8–6) | 3.5 (2.7–4) | 1.9 (1.4–2.5) | 2.2 (1.4–3) | 1.1 (0.2–1.6) | |
p | <0.001 | 0.002 | 0.007 | <0.001 | 0.064 | <0.001 | 0.008 | 0.90 | ||
Transmural infiltrate | 0 | 2 (1–3.3) | 34 (61%) | 22 (39%) | 2 (1.3–3.4) | 1.1 (0.6–2.4) | 1.9 (1.1–3.3) | 1.1 (0.4–1.7) | 1.4 (1.1–2) | 0.2 (0–2.2) |
1 | 3 (2–4) | 6 (23%) | 20 (77%) | 2.8 (1.6–3.2) | 2.6 (1.5–3.6) | 2.8 (2.2–3.1) | 1.9 (1.5–2.3) | 1.7 (1.2–2.5) | 0.8 (0.2–1.2) | |
p | 0.011 | 0.003 | 0.96 | 0.003 | 0.51 | 0.002 | 0.29 | 0.96 |
Comparison between satisfying (1) or not satisfying (0) the considered variable.