Improved outcome prediction in unconscious cardiac arrest survivors with sensory evoked potentials compared with clinical assessment

Objective: To compare the prognostic ability of sensory evoked potentials i n cardiac arrest survivors with the outcome predicted by a panel of experie nced emergency physicians based on detailed prehospital, clinical, and labo ratory data. Design: Inception cohort study. Setting: Medical intensive care unit and department of emergency medicine a t a university hospital. Patients: A total of 162 unconscious, mechanically ventilated patients who survived greater than or equal to 24 hrs after resuscitation from cardiac a rrest. Interventions: Recording of sensory evoked potentials and outcome predictio n after review of detailed clinical and laboratory data by emergency physic ians within 24 hrs after cardiac arrest. Measurements and Main Results: At 6 months, the outcome of 36 patients was classified as favorable and 126 patients were rated as poor. After review o f prehospital data, emergency physicians predicted favorable vs. poor outco me with a sensitivity of 70% and a specificity of 65%. After additional ass essment of data 1 hr after cardiac arrest, the sensitivity of emergency phy sician predictions increased to 80%, whereas the specificity decreased to 4 8%. Outcome prediction by emergency physicians was mast accurate after obta ining detailed patient data 24 hrs after cardiac arrest (sensitivity, 81%; specificity, 58%). In 35 of 36 patients with favorable outcomes, the cortic al evoked potential N70 peak was detected between 72 and 128 msec. Of 113 p atients with an N70 peak latency >130 msec or an absent N70 peak, all excep t one had a poor outcome. By using a cutoff of 130 msec, the N70 peak laten cy alone had a sensitivity of 94% and a specificity of 97%. The predictive accuracy of the N70 peak latency was significantly higher than the clinical assessment 24 hrs after cardiac arrest (91% vs. 76%, p = .0003). Conclusion: In unconscious cardiac arrest survivors, a recording of long-la tency sensory evoked potentials is more accurate in predicting individual o utcome than an emergency physician review of clinical data.