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. 2021 Sep 1;11:17510. doi: 10.1038/s41598-021-97154-1

Table 4.

Multivariable logistic regression analysis to evaluate the effects of cerebral small vessel disease on unfavorable outcome (mRS 3–6).

Crude OR
(95% CI)
P-value Adjusted OR
(95% CI)
P-value
Model 1
Age 1.00 [0.97–1.03] 0.735 1.01 [0.96–1.07] 0.601
Sex 0.52 [0.28–0.98] 0.043 0.70 [0.26–1.90] 0.481
Systemic metastasis 4.00 [2.09–7.65]  < 0.001 2.82 [1.03–7.72] 0.044
Adenocarcinoma 3.06 [1.54–6.06] 0.001 1.67 [0.63–4.44] 0.302
Initial NIHSS score 1.32 [1.20–1.45]  < 0.001 1.27 [1.10–1.47] 0.001
Fasting glucose* 3.92 [1.09–14.16] 0.037 1.78 [0.35–8.97] 0.484
High-sensitivity CRP* 1.70 [1.39–2.07]  < 0.001 1.34 [0.99–1.80] 0.058
D-dimer* 2.38 [1.76–3.20]  < 0.001 1.24 [0.81–1.89] 0.318
Multiple territory lesion 5.25 [2.72–10.13]  < 0.001 3.01 [1.10–8.19] 0.031
Silent brain infarct 2.07 [1.09–3.92] 0.027 1.57 [0.52–4.68] 0.422
Model 2
Severe WMH 0.71 [0.34–1.51] 0.376 1.69 [0.46–6.22] 0.431
Model 3
Cerebral microbleeds 0.43 [0.21–0.88] 0.022 0.33 [0.10–1.08] 0.067

mRS = modified Rankin Scale, NIHSS = National Institutes of Health Stroke Scale, CRP = c-reactive protein, WMH = white matter hyperintensity.

*These variables were transformed using a log scale.

Adjusted for age and P < 0.05 in univariate analysis (sex, systemic metastasis, adenocarcinoma, initial NIHSS score, fasting glucose, high-sensitivity CRP, D-dimer, and multiple territory lesion).