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Enhanced Analysis of Somatosensory Evoked Potentials at 20–30 Milliseconds Can Predict Neurological Outcome after Cardiac Arrest

Nicholas M. Gourd,Colin Bigham, Nicola Broomfield, Lucy Nye, Liana Stapleton, Emma Stead,Andrew Smith,Amy Baker, Jade Chynoweth,Joanne Hosking, Nigel Hudson,Nikitas

Clinical neurophysiology(2023)

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摘要
Objective:This study attempted to test the effectiveness of an enhanced analysis of the 20-30 ms com-plex of somatosensory evoked potentials, in predicting the short-term outcome of comatose survivors of out of hospital cardiac arrest and compare it with the current clinical practice. Methods:Single-centre, prospective, observational study. Median nerve SSEP recording performed at 24- 36 h post-return of spontaneous circulation. Recording was analysed using amplitude measurements of P25/30 and Peak-To-Trough of 20-30 ms complex and thresholds to decide P25/30 presence. Neurological outcome was dichotomised into favourable and unfavourable. Results:89 participants were analysed. 43.8% had favourable and 56.2% unfavourable outcome. The sen-sitivity, specificity, positive and negative predictive values of the present SSEP and favourable outcome were calculated. P25/30 presence and size of PTT improved positive predictive value and specificity, while maintained similar negative predictive value and sensitivity, compared to the current practice. Inter-interpreter agreement was also improved. Conclusions:Enhanced analysis of the SSEP at 20-30 ms complex could improve the short-term prognos-tic accuracy for short-term neurological outcome in comatose survivors of cardiac arrest. Significance:Peak-To-Trough analysis of the 20-30 ms SSEP waveform appears to be the best predictor of neurological outcome following out of hospital cardiac arrest. It is also the easiest and most reliable to analyse. & COPY; 2023 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.
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关键词
Somatosensory evoked potential,P25,30,N20,Cardiac arrest,Outcome,Neuro-prognostication
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