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. Author manuscript; available in PMC: 2014 Sep 6.
Published in final edited form as: Stroke. 2013 Apr 2;44(6):1606–1608. doi: 10.1161/STROKEAHA.111.000709

Table 2.

Logistic Regression Analysis

Variables β (SE) OR [95% CI] P Value
Intercept 1.67 (0.65) … 0.0098
FVP vs. no FVP 1.16 (0.45) 10.22 [1.78–58.57] 0.0091
Baseline NIHSS* −0.30 (0.05) 0.74 [0.67–0.82] <0.0001
History of AFib 0.36 (0.22) 2.07 [0.89–4.81] 0.0909

List of variables in univariate logistic regression model (association with mRS 0–2 at 90 days): treated arm, FVP, baseline NIHSS, age, infarct side, glucose, time from symptom onset to randomization, sex, race (black, white, other), SBP, DBP, AFib, diabetes mellitus, hypertension, hyperlipidemia, CII, TIA, seizures, valvular disease, myocardial infarction, angina, peripheral vascular disease, percutaneous transluminal coronary angioplasty, coronary artery bypass graft, and smoking status.

AFib indicates atrial fibrillation; CI indicates confidence interval; DBP, diastolic blood pressure; FVP, favorable vascular profile; NIHSS, National Institutes of Health Stroke Scales; and SBP, systolic blood pressure.

All depicted variables were associated with the outcome (all P values<0.10) and included into the multivariate model. There was no interaction of FVP and treated arm (likelihood ratio χ2 test; P=1.000).

*

One unit increase.