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. 2024 Dec 18;15:1496628. doi: 10.3389/fneur.2024.1496628

Table 4.

Univariable and multiple multivariable logistic regression model.

Variables Model A Model B Model C
OR (95%CI) P-value OR (95%CI) P-value OR (95%CI) P-value
NLR day 0 1.12 (1.06–1.18) <0.001 1.13 (1.07–1.20) <0.001 1.12 (1.06–1.19) <0.001
NLR day 1 1.17 (1.12–1.22) <0.001 1.16 (1.11–1.22) <0.001 1.15 (1.10–1.20) <0.001
NLR day 3 1.41 (1.31–1.52) <0.001 1.41 (1.30–1.52) <0.001 1.38 (1.28–1.49) <0.001
dNLR day 0 1.19 (1.10–1.30) <0.001 1.22 (1.12–1.33) <0.001 1.20 (1.09–1.31) <0.001
dNLR day 1 1.36 (1.24–1.49) <0.001 1.34 (1.23–1.47) <0.001 1.30 (1.19–1.42) <0.001
dNLR day 3 2.16 (1.84–2.53) <0.001 2.14 (1.82–2.51) <0.001 2.04 (1.73–2.40) <0.001
NMLR day 0 1.12 (1.06–1.17) <0.001 1.13 (1.07–1.19) <0.001 1.12 (1.06–1.18) <0.001
NMLR day 1 1.16 (1.11–1.21) <0.001 1.16 (1.11–1.21) <0.001 1.14 (1.09–1.19) <0.001
NMLR day 3 1.38 (1.29–1.48) <0.001 1.38 (1.28–1.48) <0.001 1.35 (1.26–1.45) <0.001

Bold P-values indicate statistical significance (P < 0.05). OR, odds ratio; CI, confidence interval. Model A: unadjusted. Model B: adjusted for age, hyperlipidemia, and atrial Fibrillation. Model C: adjusted for variables in Model 2 plus number of baseline NIHSS, baseline GCS, number of thrombectomy attempts.