Combining Ventricular Fibrillation Features With Defibrillation Waveform Parameters Improves the Ability to Predict Shock Outcomes in a Rabbit Model of Cardiac Arrest.

J Am Heart Assoc · 2025 · PMC12132857 · PMID 40145324

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did not reach statistical significanceno p-value reported

Compared with the optimal single‐feature AMSA, combining multiple VF features (0.657 [95% CI, 0.602–0.712] versus 0.644 [95% CI, 0.619–0.674]; P =0.543) or using a raw VF waveform (0.685 [95% CI, 0.632–0.738] versus 0.644 [95% CI, 0.619–0.674]; P =0.155) improved the AUC values but did not reach statistical significance.

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