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. 2026 Sep 25;105(39):e50666. doi: 10.1097/MD.0000000000050666

Table 5.

Multicollinearity diagnostics for candidate predictors included in the multivariable model.

Predictor Tolerance VIF Interpretation
Age 0.704 1.42 No important multicollinearity
Sex, male 0.909 1.10 No important multicollinearity
Baseline NIHSS score 0.595 1.68 No important multicollinearity
Baseline systolic blood pressure 0.806 1.24 No important multicollinearity
ASPECTS 0.629 1.59 No important multicollinearity
Atrial fibrillation 0.730 1.37 No important multicollinearity
Pre-stroke antiplatelet use 0.847 1.18 No important multicollinearity
WBC count 0.289 3.46 Moderate correlation, below threshold
Neutrophil count 0.238 4.21 Highest VIF, below threshold
Lymphocyte count 0.581 1.72 No important multicollinearity
Hemoglobin 0.763 1.31 No important multicollinearity
INR 0.820 1.22 No important multicollinearity
Fibrinogen 0.735 1.36 No important multicollinearity
D-dimer 0.671 1.49 No important multicollinearity

VIF ≥5 or tolerance ≤0.20 was considered suggestive of potentially important multicollinearity.

ASPECTS = Alberta Stroke Program Early CT Score, INR = international normalized ratio, NIHSS = National Institutes of Health Stroke Scale, VIF = variance inflation factor, WBC = white blood cell.