2021
DOI: 10.3390/jcm10061331
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Multimodal Long-Term Predictors of Outcome in Out of Hospital Cardiac Arrest Patients Treated with Targeted Temperature Management at 36 °C

Abstract: Introduction: Early prediction of long-term outcomes in patients resuscitated after cardiac arrest (CA) is still challenging. Guidelines suggested a multimodal approach combining multiple predictors. We evaluated whether the combination of the electroencephalography (EEG) reactivity, somatosensory evoked potentials (SSEPs) cortical complex and Gray to White matter ratio (GWR) on brain computed tomography (CT) at different temperatures could predict survival and good outcome at hospital discharge and six months… Show more

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Cited by 6 publications
(7 citation statements)
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“…Predicting neurological outcome with a single predictor can induce false positives, which was confirmed in our study. Our results provide further evidence that a multimodal approach could reduce erroneous prognostication [ 24 , 25 ]. In particular, caution is required to predict the patient's outcome using NSE and brain CT because 3 patients with NSE 60 and 9 patients with poor CT were false positives in the first cohort.…”
Section: Discussionsupporting
confidence: 60%
“…Predicting neurological outcome with a single predictor can induce false positives, which was confirmed in our study. Our results provide further evidence that a multimodal approach could reduce erroneous prognostication [ 24 , 25 ]. In particular, caution is required to predict the patient's outcome using NSE and brain CT because 3 patients with NSE 60 and 9 patients with poor CT were false positives in the first cohort.…”
Section: Discussionsupporting
confidence: 60%
“…In our study the population was similar to previous studies regarding age, sex and mortality [2,4,5,9,12,[18][19][20]. The proportions of myocardial ischemia as the cause of resuscitation and shockable rhythm in our population were also similar to those found in the literature in larger studies [4,18].…”
Section: Discussionsupporting
confidence: 89%
“…Finally, we also evaluated the relationship between SSEP amplitudes and other demographic and prognostic markers, and we assessed the prognostic value of different combinations. Indeed, using the most specific predictors with the higher specificity and so the lowest FPR and combined predictors maximize safety of neuro-prognostication after CA [2,28], as we highlighted in our study.…”
Section: Discussionmentioning
confidence: 53%
“…Lowering the N20-baseline 3). Regarding the second SSEP component i.e N20-P25, an amplitude > 3.2 µV predicted good outcome with a specificity of 93 [90-96]% and sensitivity of 29 [23][24][25][26][27][28][29][30][31][32][33][34]%, although a threshold of 4 µV increased specificity (sp = 95 [92-97] %) but decreased sensitivity (se = 14 [10-18]%) (Table 3). The combination of N20-baseline > 2 µV with a benign EEG presented a higher specificity (sp = 96.9 [95-99]%) with a similar sensitivity (se = 33.3 [28-39]%) although combination of N20-P25 with benign EEG was also highly specific (sp = 97 [93-98]%) but poorly sensitive (se = 17 [13-21]%).…”
Section: Prediction Of Good Outcomementioning
confidence: 99%