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2015
DOI: 10.1186/s13054-015-1119-y
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Pain-related Somato Sensory Evoked Potentials: a potential new tool to improve the prognostic prediction of coma after cardiac arrest

Abstract: IntroductionEarly prediction of a good outcome in comatose patients after cardiac arrest still remains an unsolved problem. The main aim of the present study was to examine the accuracy of middle-latency SSEP triggered by a painful electrical stimulation on median nerves to predict a favorable outcome.MethodsNo- and low-flow times, pupillary reflex, Glasgow motor score and biochemical data were evaluated at ICU admission. The following were considered within 72 h of cardiac arrest: highest creatinine value, hy… Show more

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Cited by 20 publications
(15 citation statements)
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“…63 A recent study suggests that the painful modality may be informative of consciousness recovery (PPV 100%, 95% CI 87-100%) even before EEG reactivity. 64…”
Section: Middle Latency Evoked Potentialsmentioning
confidence: 99%
“…63 A recent study suggests that the painful modality may be informative of consciousness recovery (PPV 100%, 95% CI 87-100%) even before EEG reactivity. 64…”
Section: Middle Latency Evoked Potentialsmentioning
confidence: 99%
“…In particular the absence of cortical SSEP responses is highly informative of poor outcome . Other studies have proposed SSEP amplitude for predicting good outcome either at early or middle latencies in the response window . The optimal use of the SSEP for predicting good outcome in patients especially in modern clinical application of TTM targeting 33 or 36°C is currently under exploration.…”
Section: Discussionmentioning
confidence: 99%
“…Somatosensory evoked potentials (SSEP) provide information about cortical signals in the somatosensory cortex after a peripheral stimulus. This can be helpful to prognosticate cerebral injury if the cortical potentials are absent [ 96 ]. The optic nerve sheath diameter (ONSD) can be used at bedside to detect elevated ICP [ 97 ].…”
Section: Neuromonitoring During Ecmomentioning
confidence: 99%