Added Value of Quantitative Apparent Diffusion Coefficient Values for Neuroprognostication After Cardiac Arrest

Objective To test the prognostic value of brain MRI in addition to clinical and electrophysiologic variables patients post–cardiac arrest (CA), we explored data from randomized Neuroprotect Post-CA trial ( NCT02541591 ). Methods In this trial, MRIs were prospectively obtained. We calculated receiver operating characteristic (ROC) curves for average apparent diffusion coefficient (ADC) percentage voxels with an ADC <650 × 10 −6 mm 2 /s <450 /s. constructed multivariable logistic regression models characteristics, EEG, somatosensory evoked potentials (SSEP), as independent predict good neurologic recovery. Results 79/102 patients, available 58/79 all other available. At 180 days post-CA, 25/58 (43%) had univariable analysis tested measures, postcentral cortex highest accuracy recovery, area under ROC curve (AUC) 0.78. most optimal model, which also included corneal reflexes measure remained predictor recovery (AUC 0.96, false-positive 27%). This model provided a more accurate prediction compared combination reflexes, SSEP p = 0.03). Conclusions Adding information on may improve post-CA. Classification Evidence study provides Class III evidence that features