Table 7 Multivariate linear regression model against clinical improvement
From: Can diffusion tensor imaging lesion patterns predict the outcome of ischemic stroke?
Variables | Stroke patients | P value | ||||
|---|---|---|---|---|---|---|
Not improved | Improved | |||||
Count | Percent | Count | Percent | |||
HTN | Yes | 27 | 96.4% | 11 | 91.7% | 0.515 |
No | 1 | 3.6% | 1 | 8.3% | ||
DM | Yes | 20 | 71.4% | 8 | 66.7% | 1 |
No | 8 | 28.6% | 4 | 33.3% | ||
Smoking | Yes | 14 | 50.0% | 7 | 58.3% | 0.629 |
No | 14 | 50.0% | 5 | 41.7% | ||
Dyslipidemia | Yes | 17 | 60.7% | 4 | 33.3% | 0.112 |
No | 11 | 39.3% | 8 | 66.7% | ||
Hyperuricemia | Yes | 14 | 50.0% | 8 | 66.7% | 0.332 |
No | 14 | 50.0% | 4 | 33.3% | ||
ECG | Normal | 21 | 75.0% | 10 | 83.3% | 0.838 |
IHD | 5 | 17.9% | 1 | 8.3% | ||
AF | 2 | 7.1% | 1 | 8.3% | ||
ECHO | Normal | 23 | 82.1% | 11 | 91.7% | 1 |
IHD | 4 | 14.3% | 1 | 8.3% | ||
AF | 1 | 3.6% | 0 | 0.0% | ||
SIZE of infarction | Small | 13 | 46.4% | 9 | 75.0% | 0.230 |
Medium | 12 | 42.9% | 3 | 25.0% | ||
Large | 3 | 10.7% | 0 | 0.0% | ||
Side of infarction | Rt | 16 | 57.1% | 6 | 50.0% | 0.677 |
Lt | 12 | 42.9% | 6 | 50.0% | ||