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. 2024 Sep 13:23969873241275531. Online ahead of print. doi: 10.1177/23969873241275531

Table 4.

Univariable and multivariable logistic regression models to predict mRS 0–1 and mRS 0–2.

FIV (ml) Univariable model
Multivariable model a
OR (95% CI) p-value OR (95% CI) p-value
mRS 0–2
 FIV (per 10 ml) 0.70 (0.58–0.82) <0.001 0.69 (0.53–0.84) 0.002
 ⩽5 ml 9.68 (3.19–42.2) <0.001 11.0 (2.93–60.9) 0.001
 ⩽15 ml b 10.9 (4.80–26.9) <0.001 13.0 (4.50–43.4) <0.001
 ⩽40 ml 6.09 (2.54–15.6) <0.001 7.93 (2.56–28.6) <0.001
mRS 0–1
 FIV (per 10 ml) 0.72 (0.60–0.85) <0.001 0.73 (0.58–0.89) 0.006
 ⩽5 ml 6.75 (2.72–19.4) <0.001 7.70 (2.64–26.1) <0.00
 ⩽15 ml b 7.88 (3.67–17.7) <0.001 7.09 (2.77–19.7) <0.001
 ⩽40 ml 5.21 (2.12–14.3) <0.001 5.09 (1.70–17.6) 0.006
a

All estimates are adjusted for age, admission NIHSS score, final mTICI, administration of IVT and stroke onset to arterial puncture time.

b

Youden Index cut-off point.