Multivariable regression analysis of predictors for delayed stent thrombosis and clinical outcome at dischargea
| Predictors | OR (95% CI) | P Value |
|---|---|---|
| Delayed stent thrombosis | ||
| Admission NIHSS (per 1-point increase) | 1.1 (1.01–1.28) | .03 |
| Diabetes | 6.07 (1.2–30.6) | .02 |
| In-stent thrombus on final angiographic run | 6.2 (1.4–27.97) | .01 |
| Unfavorable clinical outcome at discharge (mRS > 2)b | ||
| Delayed stent thrombosis | 19.78 (2.78–296.83) | .001 |
| Admission NIHSS (per 1-point increase) | 1.27 (1.12–1.51) | <.001 |
| Symptomatic hemorrhagic transformation | 23.65 (1.85–3478.94) | .012 |
↵a Candidate predictors for delayed stent thrombosis were the following: antiplatelet treatment (aspirin vs aspirin and clopidogrel), admission NIHSS, diabetes, diffusion ASPECTS of <7, visualization of in-stent thrombus on final angiographic run, presence of cervical thrombus distal to the proximal lesion, and time from onset to recanalization. Candidate predictors for clinical outcome at discharge were the following: delayed stent thrombosis, admission NIHSS, location of distal occlusion (M2 versus ICA/M1), presence of cervical thrombus distal to the proximal lesion, diffusion ASPECTS of <7, symptomatic hemorrhagic transformation, and time from onset to recanalization.
↵b Because none of the patients with good clinical outcome had symptomatic hemorrhagic transformation, a logistic regression model using the Firth bias reduction method was fitted to handle separation in our data for the clinical outcome at discharge.