Table 5.
Models of discriminant analysis in AAD classification in the confirmatory cohort.
| Model | AAD | nonCVD | TAA | AMI | PE | Total | |
|---|---|---|---|---|---|---|---|
| hs-TnT + D-dimers | AAD | 9 (26%) |
1 (3%) |
6 (18%) |
4 (12%) |
14 (41%) |
34 (100%) |
| nonCVD | 0 (0%) |
26 (81%) |
6 (19%) |
0 (0%) |
0 (0%) |
32 (100%) |
|
| TAA | 1 (3%) |
13 (37%) |
14 (40%) |
2 (6%) |
5 (14%) |
35 (100%) |
|
| AMI | 3 (7%) |
0 (0%) |
4 (9%) |
38 (84%) |
0 (0%) |
45 (100%) |
|
| PE | 11 (31%) |
0 (0%) |
2 (6%) |
0 (0%) |
22 (63%) |
35 (100%) |
|
| total classification | 60% | ||||||
| AAD sensitivity | 26% | ||||||
| AAD specificity | 90% | ||||||
| AAD | nonCVD | TAA | AMI | PE | total | ||
| D-dimers + IL-6 + PAI1 | AAD | 15 (75%) |
0 (0%) |
2 (105) |
1 (5%) |
2 (10%) |
20 (100%) |
| nonCVD | 0 (0%) |
20 (72%) |
4 (21%) |
4 (21%) |
0 (0%) |
28 (100%) |
|
| TAA | 0 (0%) |
12 (41%) |
6 (21%) |
7 (24%) |
4 (14%) |
29 (100%) |
|
| AMI | 1 (6%) |
3 (18%) |
4 (23%) |
8 (47%) |
1 (6%) |
17 (100%) |
|
| PE | 2 (7%) |
0 (0%) |
1 (4%) |
1 (4%) |
24 (85%) |
28 (100%) |
|
| total classification | 60% | ||||||
| AAD sensitivity | 83% | ||||||
| AAD specificity | 95% | ||||||
| AAD | nonCVD | TAA | AMI | PE | total | ||
| hs-TnT + D-dimers + IL-6 + PAI1 | AAD | 15 (75%) |
0 (0%) |
2 (10%) |
1 (5%) |
2 (10%) |
20 (100%) |
| hs-TnT + D-dimers + IL-6 + PAI1 | nonCVD | 0 (0%) |
25 (89%) |
3 (11%) |
0 (0%) |
0 (0%) |
28 (100%) |
| TAA | 0 (0%) |
10 (35%) |
14 (48%) |
2 (7%) |
3 (10%) |
29 (100%) |
|
| AMI | 0 (0%) |
0 (0%) |
1 (6%) |
16 (94%) |
0 (0%) |
17 (100%) |
|
| PE | 3 (11%) |
0 (0%) |
1 (4%) |
0 (0%) |
24 (85%) |
28 (100%) |
|
| total classification | 77% | ||||||
| AAD sensitivity | 83% | ||||||
| AAD specificity | 95% | ||||||