Table 4

Univariable and multivariable logistic regression analyses depicting the associations of admission hyperglycemia and other baseline characteristics with 3 month mortality

Univariable logistic regression analysisMultivariable logistic regression analysis
VariableOR (95% CI)p Value*OR (95% CI)p Value
Age1.00 (0.98 to 1.02)0.799
Male gender1.96 (1.06 to 3.62)0.0321.97 (0.98 to 3.93)0.056
African American race1.25 (0.68 to 2.28)0.475
NIHSS score at admission (per 1 point increase)1.09 (1.05 to 1.15)<0.0011.10 (1.05 to 1.15)<0.001
ASPECTS at baseline (per 1 point increase)0.86 (0.70 to 1.05)0.141
Hypertension0.93 (0.47 to 1.85)0.843
Diabetes mellitus1.41 (0.75 to 2.65)0.282
Hyperlipidemia0.65 (0.34 to 1.26)0.202
Atrial fibrillation0.57 (0.27 to 1.21)0.143
Coronary artery disease1.08 (0.57 to 2.05)0.812
Congestive heart failure0.60 (0.25 to 1.44)0.249
Smoking1.71 (0.91 to 3.21)0.0951.62 (0.78 to 3.37)0.194
IV thrombolysis0.79 (0.43 to 1.44)0.437
Onset to arterial puncture time (per 10 min increase)1.01 (0.99 to 1.03)0.241
Complete reperfusion2.81 (1.52 to 5.20)0.0010.37 (0.18 to 0.74)0.003
Admission hyperglycemia2.36 (1.29 to 4.33)0.0062.76 (1.40 to 5.44)0.004
Systolic blood pressure at admission (per 10 mm Hg increase)1.15 (1.04 to 1.28)0.0071.16 (1.03 to 1.30)0.014
Diastolic blood pressure at admission (per 10 mm Hg increase)1.19 (1.03 to 1.36)0.0151.02 (0.82 to 1.26)0.884
  • *Cut-off of p<0.1 was used for selection of candidate variables for inclusion in multiple logistic regression models.

  • ASPECTS, Alberta Stroke Program Early CT score; NIHSS, National Institutes of Health Stroke Scale.