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BACKGROUND: In intensive care unit (ICU) patients with coma and other disorders of consciousness (DoC), outcome prediction is key to decision-making regarding prognostication, neurorehabilitation, and management of family expectations. Current prediction algorithms are largely based on chronic DoC, whereas multimodal data from acute DoC are scarce. Therefore, the Consciousness in Neurocritical Care Cohort Study Using Electroencephalography and Functional Magnetic Resonance Imaging (i.e. CONNECT-ME; ClinicalTrials.gov identifier: NCT02644265) investigates ICU patients with acute DoC due to traumatic and nontraumatic brain injuries, using electroencephalography (EEG) (resting-state and passive paradigms), functional magnetic resonance imaging (fMRI) (resting-state) and systematic clinical examinations. METHODS: We previously presented results for a subset of patients (n = 87) concerning prediction of consciousness levels in the ICU. Now we report 3- and 12-month outcomes in an extended cohort (n = 123). Favorable outcome was defined as a modified Rankin Scale score ≤ 3, a cerebral performance category score ≤ 2, and a Glasgow Outcome Scale Extended score ≥ 4. EEG features included visual grading, automated spectral categorization, and support vector machine consciousness classifier. fMRI features included functional connectivity measures from six resting-state networks. Random forest and support vector machine were applied to EEG and fMRI features to predict outcomes. Here, random forest results are presented as areas under the curve (AUC) of receiver operating characteristic curves or accuracy. Cox proportional regression with in-hospital death as a competing risk was used to assess independent clinical predictors of time to favorable outcome. RESULTS: Between April 2016 and July 2021, we enrolled 123 patients (mean age 51 years, 42% women). Of 82 (66%) ICU survivors, 3- and 12-month outcomes were available for 79 (96%) and 77 (94%), respectively. EEG features predicted both 3-month (AUC 0.79 [95% confidence interval (CI) 0.77-0.82]) and 12-month (AUC 0.74 [95% CI 0.71-0.77]) outcomes. fMRI features appeared to predict 3-month outcome (accuracy 0.69-0.78) both alone and when combined with some EEG features (accuracies 0.73-0.84) but not 12-month outcome (larger sample sizes needed). Independent clinical predictors of time to favorable outcome were younger age (hazard ratio [HR] 1.04 [95% CI 1.02-1.06]), traumatic brain injury (HR 1.94 [95% CI 1.04-3.61]), command-following abilities at admission (HR 2.70 [95% CI 1.40-5.23]), initial brain imaging without severe pathological findings (HR 2.42 [95% CI 1.12-5.22]), improving consciousness in the ICU (HR 5.76 [95% CI 2.41-15.51]), and favorable visual-graded EEG (HR 2.47 [95% CI 1.46-4.19]). CONCLUSIONS: Our results indicate that EEG and fMRI features and readily available clinical data predict short-term outcome of patients with acute DoC and that EEG also predicts 12-month outcome after ICU discharge.
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Lesões Encefálicas , Estado de Consciência , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Estudos de Coortes , Transtornos da Consciência/diagnóstico por imagem , Transtornos da Consciência/terapia , Eletroencefalografia , Mortalidade Hospitalar , Unidades de Terapia Intensiva , Prognóstico , Estudos Clínicos como AssuntoRESUMO
PURPOSE: To investigate whether extending the 10-20 array with 6 electrodes in the inferior temporal chain and constructing computed montages increases the diagnostic value of ictal EEG activity originating in the temporal lobe. In addition, the accuracy of computer-assisted spectral source analysis was investigated. METHODS: Forty EEG samples were reviewed by 7 EEG experts in various montages (longitudinal and transversal bipolar, common average, source derivation, source montage, current source density, and reference-free montages) using 2 electrode arrays (10-20 and the extended one). Spectral source analysis used source montage to calculate density spectral array, defining the earliest oscillatory onset. From this, phase maps were calculated for localization. The reference standard was the decision of the multidisciplinary epilepsy surgery team on the seizure onset zone. Clinical performance was compared with the double banana (longitudinal bipolar montage, 10-20 array). RESULTS: Adding the inferior temporal electrode chain, computed montages (reference free, common average, and source derivation), and voltage maps significantly increased the sensitivity. Phase maps had the highest sensitivity and identified ictal activity at earlier time-point than visual inspection. There was no significant difference concerning specificity. CONCLUSIONS: The findings advocate for the use of these digital EEG technology-derived analysis methods in clinical practice.
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Eletroencefalografia/métodos , Epilepsia do Lobo Temporal/diagnóstico , Convulsões/diagnóstico , Eletrodos , Humanos , Variações Dependentes do Observador , Sensibilidade e Especificidade , Processamento de Sinais Assistido por ComputadorRESUMO
INTRODUCTION: Critically-ill patients in intensive care units often suffer from weakness of the arms and legs and have difficulty in weaning from the ventilator. If this cannot be explained by the illness itself, it may be due to a critical illness polyneuropathy (CIP) or a critical illness myopathy (CIM) or both. It is difficult to determine the cause of the weakness by conventional methods in an intensive care unit. The objective was to describe the diagnostic yield with electrodiagnostic testing and describe the various patterns and prognosis in these patients. MATERIALS AND METHODS: 55 consecutive patients with a critical illness associated with unexplained weakness of limbs and often respiratory muscles were studied to estimate motor and sensory nerve conduction, electromyography, direct muscle stimulation, and repetitive nerve stimulation. RESULTS: 18 patients had CIM, 16 had CIP and in 9 a combination of CIM and CIP was found. Direct muscle stimulation was more sensitive to show myogenic affection than needle EMG in this patient group. CONCLUSION: Electrophysiologic tests are valuable in identifying the specific cause of prolonged weakness in critically-ill patients in intensive care units.