Table 4.
Logistic regression analysis of the predictors of transient ischemic attack.
Univariate analysis | Multivariate analysis | |||||
---|---|---|---|---|---|---|
OR | 95% CI | p value | OR | 95%CI | p value | |
Age ≥ 60 years | 4.7 | 2.45–9.07 | < 0.0001 | 5.34 | 2.84–10.07 | < 0.0001 |
Male sex | 0.94 | 0.46–1.91 | 0.8672 | |||
HT | 3.11 | 1.67–5.78 | 0.0003 | 3.55 | 1.96–6.44 | < 0.0001 |
DM | 4.6 | 1.85–11.45 | 0.0008 | 4.52 | 1.87–10.93 | 0.0006 |
HL | 2.15 | 1.09–4.23 | 0.0289 | 1.85 | 0.95–3.56 | 0.0695 |
CVD | 1.44 | 0.23–9.12 | 0.6938 | |||
BMI ≥ 25 kg/m2 | 0.77 | 0.39–1.51 | 0.4542 | |||
Smoking | 0.93 | 0.46–1.83 | 0.8241 | |||
SERPINE1-Ab ≥ 1649 | 1.81 | 0.98–3.36 | 0.0587 |
The SERPINE1 antibody cutoff value of 1649 counts based on the ROC curve analysis for the TIA group was applied in the univariate analysis.
Univariate data with p values of < 0.05 were included in the multivariate analysis. p values of < 0.05 are marked in bold.
HT hypertension, DM diabetes mellitus, HL hyperlipidemia, CVD cardiovascular disease, BMI body mass index, OR odds ratio, CI confidence interval, Ab antibody.