Table 2. Univariate and multivariate logistic regression analyses for outcome and mortality.
Parameter | Univariate analysis |
Multivariate analysis |
||
---|---|---|---|---|
OR (95% CI)a | P | OR (95% CI)a | P | |
Predictor: functional outcome | ||||
Age | 1.001 (0.970, 1.032) | 0.995 | ||
Male sex | 1.450 (0.658, 3.193) | 0.356 | ||
Family history | 3.747 (0.763, 18.403) | 0.104 | ||
BMI (kg/m2) | 1.060 (0.923, 1.217) | 0.410 | ||
NIHSS | 1.641 (1.323, 1.979) | 0.021 | 1.297 (1.184, 1.425) | 0.015 |
MEG3b | 2.504 (1.147, 5.466) | < 0.001 | 1.998 (1.144, 3.491) | < 0.001 |
Hypertension | 1.663 (0.779, 3.549) | 0.189 | ||
Hypercholesterolemia | 1.559 (0.695, 3.495) | 0.281 | ||
Diabetes mellitus | 0.786 (0.518, 1.380) | 0.077 | ||
Smoking | 1.121 (0.473, 2.655) | 0.796 | ||
Alcoholism | 0.766 (0.306, 1.915) | 0.568 | ||
Leucocyte count (× 109 /L) | 1.077 (0.952, 1.161) | 0.402 | ||
Hs-CRP (mg/dL) | 1.927 (1.510, 2.466) | < 0.001 | 1.433 (1.168, 1.754) | 0.011 |
Predictor: death | ||||
Age | 0.999 (0.962, 1.038) | 0.972 | ||
Male sex | 0.788 (0.401, 1.534) | 0.480 | ||
Family history (Yes) | 2.776 (0.545, 14.151) | 0.219 | ||
BMI (kg/m2) | 1.029 (0.875, 1.211) | 0.728 | ||
NIHSS | 1.008 (1.002, 1.015) | 0.014 | 1.002 (0.997, 1.009) | 0.181 |
MEG3b | 1.638 (1.202, 2.232) | 0.002 | 1.512 (1.058, 2.159) | 0.023 |
Hypertension | 1.023 (0.995, 1.035) | 0.152 | ||
Hypercholesterolemia | 1.236 (0.467, 3.272) | 0.670 | ||
Diabetes mellitus | 0.979 (0.362, 2.650) | 0.967 | ||
Smoking | 0.924 (0.335, 2.547) | 0.879 | ||
Alcoholism | 2.032 (0.603, 6.846) | 0.253 | ||
Leucocyte count (× 109 /L) | 1.056 (0.951, 1.174) | 0.450 | ||
Hs-CRP (mg/dL) | 1.261 (1.061, 1.499) | 0.009 | 1.276 (1.040, 1.567) | 0.020 |
Abbreviation: OR: odds ratio; CI: confidence interval; BMI: body mass index; NIHSS: National Institutes of Health Stroke Scale; Hs-CRP: high sensitivity C-reactive protein. P < 0.05 was considered statistically significant.
Note that the odds ratio corresponds to a unit increase in the explanatory variable
Log-transformed to achieve normal distribution. Note that the odds ratio corresponds to a log unit increase in the explanatory variable