Neurophysiological and neuroradiological multimodal approach for early poor outcome prediction after cardiac arrest

Scarpino, Maenia; Lanzo, Giovanni; Lolli, Francesco; Carrai, Riccardo; Moretti, Marco; Spalletti, Maddalena; Cozzolino, Morena; Peris, Adriano; Amantini, A.; Grippo, Antonello

doi:10.1016/j.resuscitation.2018.04.016

Cited by 59 publications

(41 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…SEP prognostic power was based on the evaluation of the presence/absence or of the amplitude value of the cortical responses (N20/P25 complex) on both hemispheres. Thus, we identified these six SEP patterns: NN, NP, PP, AN, AP and AA, in which N stands for normal (N20/P25 amplitude is normal), P stands for pathological (N20/P25 amplitude is <1.2 µV or the difference between the two sides is greater than 50%) and A stands for absent, if no reproducible cortical components could be identified in the presence of a cervical potential [1] , [2] , [3] .…”

Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

“…For further details regarding SEP and EEG recording and brain CT acquisition, refer to the supplementary data of the related research article [1] .…”

Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

“… The data presented in this article are related to our research article entitled ‘Neurophysiological and neuroradiological multimodal approach for early poor outcome prediction after cardiac arrest’ (Scarpino et al, 2018) [1] . We reported two additional analyses, including results gathered from somatosensory evoked potentials(SEPs), brain computed tomography(CT) and electroencephalography(EEG) performed on 183 subjects within the first 24 h after cardiac arrest(CA).…”

mentioning

confidence: 99%

See 2 more Smart Citations

Data on multimodal approach for early poor outcome (Cerebral Performance Categories 3-5) prediction after cardiac arrest

Scarpino¹,

Lanzo²,

Lolli

et al. 2018

Data in Brief

Self Cite

View full text Add to dashboard Cite

The data presented in this article are related to our research article entitled ‘Neurophysiological and neuroradiological multimodal approach for early poor outcome prediction after cardiac arrest’ (Scarpino et al., 2018) [1]. We reported two additional analyses, including results gathered from somatosensory evoked potentials(SEPs), brain computed tomography(CT) and electroencephalography(EEG) performed on 183 subjects within the first 24 h after cardiac arrest(CA). In the first analysis, we considered the Cerebral Performance Categories(CPC) 3, 4 and 5a,b (severe disability, unresponsive wakefulness state, neurological death and non-neurological death, respectively) as poor outcomes. In the second analysis, patients that died from non-neurological causes (CPC 5b) were excluded from the analysis. Concerning the first analysis, bilateral absent/absent-pathologic(AA/AP) cortical SEPs predicted poor outcome with a sensitivity of 49.3%. A Grey Matter/White Matter(GM/WM) ratio <1.21 predicted poor outcome with a sensitivity of 41.7%. Isoelectric/burst-suppression EEG patterns predicted poor outcome with a sensitivity of 33.5%. If at least one of these poor prognostic patterns was present, the sensitivity for an ominous outcome increased to 60.9%. Concerning the second analysis, AA/AP cortical SEPs predicted poor outcome with a sensitivity of 52.5%. GM/WM ratio <1.21 predicted poor outcome with a sensitivity of 50.4%. Isoelectric/burst-suppression EEG patterns predicted poor outcome with a sensitivity of 39.8%.

show abstract

Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

“…For further details regarding SEP and EEG recording and brain CT acquisition, refer to the supplementary data of the related research article [1] .…”

Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

mentioning

confidence: 99%

See 1 more Smart Citation

Data on multimodal approach for early poor outcome (Cerebral Performance Categories 3-5) prediction after cardiac arrest

Scarpino¹,

Lanzo²,

Lolli

et al. 2018

Data in Brief

Self Cite

View full text Add to dashboard Cite

show abstract

“…In any case, we believe that these tests should be used in a multimodal prognostic approach as suggested by recent guidelines 5 and reported by our group. 35 Trapianti.…”

Section: Con Clus Ionsmentioning

confidence: 99%

Early-SEPs’ amplitude reduction is reliable for poor-outcome prediction after cardiac arrest?

Carrai

Scarpino

Lolli³

et al. 2018

Acta Neurol Scand

Self Cite

View full text Add to dashboard Cite

show abstract

“…5,6 Many prognostic studies have investigated clinical and neurophysiologic indicators in comatose patients. 7,8 Among these predictors, bilateral absence of the cortical component on somatosensory evoked potentials (SEPs) is considered the most accurate marker for poor prognosis in anoxic comatose patients. 8,9 A recent study examined the prognostic value of SEPs in anoxic VS/UWS at 1-3 months after brain injury, 10 confirming their utility in the rehabilitative setting.…”

mentioning

confidence: 99%

Multicenter prospective study on predictors of short-term outcome in disorders of consciousness

et al. 2020

Self Cite

View full text Add to dashboard Cite

Objective.This international multi-center, prospective, observational study aimed at identifying predictors of short-term clinical outcome in patients with prolonged Disorders of Consciousness (DoC) due to acquired severe brain injury.Methods.Patients in vegetative state/unresponsive wakefulness syndrome (VS/UWS) or in minimally conscious state (MCS) were enrolled within 3 months from their brain injury in 12 specialized medical institutions. Demographic, anamnestic, clinical and neurophysiological data were collected at study entry. Patients were then followed-up for assessing the primary outcome, i.e. clinical diagnosis according to standardized criteria at 6 months post-injury.Results.We enrolled 147 patients (44 women; mean age: 49.4 [95% confidence intervals: 46.1-52.6] years; VS/UWS= 71, MCS= 76; traumatic= 55, vascular= 56, anoxic= 36; mean time post-injury= 59.6 [55.4-63.6] days). The 6-month follow-up was complete for 143 patients (VS/UWS= 70; MCS= 73). With respect to study entry, the clinical diagnosis improved in 72 patients (VS/UWS= 27; MCS= 45). Younger age, shorter time post-injury, higher Coma Recovery Scale-Revised total score and presence of EEG reactivity to eye opening at study entry predicted better outcome, whereas etiology, clinical diagnosis, Disability Rating Scale score, EEG background activity, acoustic reactivity and P300 on event related potentials were not associated with outcome.Conclusions.Multimodal assessment could identify patients with higher likelihood of clinical improvement in order to help clinicians, families and funding sources with various aspects of decision-making. This multi-center, international study aims to stimulate further research that drives international consensus regarding standardization of prognostic procedures for patients with DoC.

show abstract

Neurophysiological and neuroradiological multimodal approach for early poor outcome prediction after cardiac arrest

Cited by 59 publications

References 30 publications

Data on multimodal approach for early poor outcome (Cerebral Performance Categories 3-5) prediction after cardiac arrest

Data on multimodal approach for early poor outcome (Cerebral Performance Categories 3-5) prediction after cardiac arrest

Early-SEPs’ amplitude reduction is reliable for poor-outcome prediction after cardiac arrest?

Multicenter prospective study on predictors of short-term outcome in disorders of consciousness

Contact Info

Product

Resources

About