Table 3.
Multinomial logistic regression models comparing the association between biomarkers or participant characteristics and aneurysm status
| Subaneurysms (n = 68) | Slow growing AAA (n = 84) | Fast growing AAA (n = 85) | ||||
|---|---|---|---|---|---|---|
| Adjusted OR | 95% CI | Adjusted OR | 95% CI | Adjusted OR | 95% CI | |
| D-dimer quartiles, ng/mL* | ||||||
| <406 | 1.00 | (referent) | 1.00 | (referent) | 1.00 | (referent) |
| 406-594 | 1.93 | 0.72, 5.20 | 4.26 | 1.42, 12.74 | 3.80 | 1.06, 13.63 |
| 595-1006 | 3.33 | 1.13, 9.79 | 6.92 | 2.11, 22.75 | 8.63 | 2.29, 32.45 |
| >1006 | 2.58 | 0.51, 10.86 | 18.59 | 4.56, 75.77 | 26.48 | 5.86, 119.68 |
| D-dimer threshold, ng/mL* | ||||||
| <500 | 1.00 | (referent) | 1.00 | (referent) | 1.00 | (referent) |
| ≥500 | 3.09 | 1.37, 6.97 | 6.23 | 2.72, 14.27 | 7.19 | 2.90, 17.83 |
| PF4 quartiles, ng/mL† | ||||||
| <182 | 1.00 | (referent) | 1.00 | (referent) | 1.00 | (referent) |
| 182-372 | 2.63 | 0.78, 8.88 | 1.76 | 0.59, 5.27 | 1.59 | 0.48, 5.31 |
| 373-739 | 1.29 | 0.39, 4.21 | 0.33 | 0.10, 1.06 | 0.58 | 0.17, 1.94 |
| >739 | 1.91 | 0.61, 5.97 | 0.48 | 0.15, 1.48 | 0.74 | 0.22, 2.37 |
| TAT quartiles, μg/mL‡ | ||||||
| <2.48 | 1.00 | (referent) | 1.00 | (referent) | 1.00 | (referent) |
| 2.5-3.1 | 0.89 | 0.31, 2.53 | 0.76 | 0.30, 1.96 | 15.03 | 1.76, 128.3 |
| 3.1-4.2 | 3.74 | 1.30, 10.70 | 0.65 | 0.21, 2.03 | 26.57 | 2.99, 235.99 |
| >4.2 | 11.60 | 2.35, 57.20 | 5.37 | 1.11, 26.07 | 240.02 | 21.13, 2725.97 |
| Statin use§ | ||||||
| Yes | 1.97 | 0.81, 4.75 | 2.34 | 0.97, 5.60 | 1.35 | 0.53, 3.46 |
| ASA use‖ | ||||||
| Yes | 1.70 | 0.55, 5.20 | 3.16 | 1.05, 9.48 | 1.72 | 0.54, 5.49 |
| Smoking status¶ | ||||||
| Never | 1.00 | (referent) | 1.00 | (referent) | 1.00 | (referent) |
| Former | 1.98 | 0.79, 4.97 | 6.68 | 2.33, 19.15 | 2.70 | 0.96, 7.58 |
| Current | 20.83 | 5.39, 81.29 | 28.21 | 6.30, 126.37 | 24.32 | 5.74, 103.04 |
In this multinominal logistic regression, participants without aneurysm serve as the comparator for the 3 aneurysm groups (subaneurysm, slow-growing AAA, and fast-growing AAA).
D-dimer models adjusted for age, TAT, smoking status, CHD, and renal insufficiency.
PF4 models adjusted for age, TAT, D-dimer, smoking status, CHD, renal insufficiency, and diabetes.
TAT models adjusted for age, D-dimer, smoking status, CHD, and renal insufficiency.
Statin use model adjusted for age, TAT, D-dimer, smoking status, CHD, renal insufficiency, and diabetes.
ASA use model adjusted for age, TAT, D-dimer, smoking status, renal insufficiency, CHD, and diabetes.
Smoking status model adjusted for age TAT, D-dimer, CHD, and renal insufficiency.