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. 2024 Feb 13;15:1341423. doi: 10.3389/fneur.2024.1341423

Table 2.

Univariate and multivariable logistic regression analyses.

Independent variables Distribution of the mRS score at 90 days after stroke
(shift analysis)
Univariate model
OR [95% CI]
Value of p Multivariable model
Adjusted OR [95% CI]
Value of p
Patient sex (female versus male) 0.59 [0.42–0.84] 0.003 1.49 [1.01–2.19] 0.044
Patient age (≥65 years versus < 65 years) 0.77 [0.52–1.14] 0.197
Use of antiplatelets before admission (yes versus no) 0.48 [0.33–0.69] <0.0001 1.47 [0.94–2.29] 0.094
Previous stroke (yes versus no) 0.50 [0.29–0.87] 0.014 1.16 [0.59–2.30] 0.663
Previous transient ischemic attack (yes versus no) 1.01 [0.48–2.13] 0.9901
Hypertension (yes versus no) 0.70 [0.46–1.08] 0.108 1.51 [0.91–4.50] 0.112
Diabetes (yes versus no) 0.90 [0.60–1.36] 0.6126
Hyperlipidemia (yes versus no) 1.39 [0.93–2.08] 0.105 0.50 [0.32–0.80] 0.004
Smoking (yes versus no) 1.29 [0.88–1.89] 0.1990
Prestroke disability (mRS 0 versus mRS 1–6) 0.23 [0.15–0.36] <0.0001 3.62 [2.27–5.76] <0.0001
NIHSS at admission (<5 versus ≥ 5) 0.55 [0.39–0.78] 0.001 1.75 [1.19–2.58] 0.005

OR, odds ratio; CI, confidence interval; mRS, modified Rankin Scale. In bold are variables with a value of p ≤ 0.1 that were included in the multivariable regression models.