RESUMEN
Our goal was to assess the interrater agreement (IRA) of photoparoxysmal response (PPR) using the classification proposed by a task force of the International League Against Epilepsy (ILAE), and a simplified classification system proposed by our group. In addition, we evaluated IRA of epileptiform discharges (EDs) and the diagnostic significance of the electroencephalographic (EEG) abnormalities. We used EEG recordings from the European Reference Network (EpiCARE) and Standardized Computer-based Organized Reporting of EEG (SCORE). Six raters independently scored EEG recordings from 30 patients. We calculated the agreement coefficient (AC) for each feature. IRA of PPR using the classification proposed by the ILAE task force was only fair (AC = 0.38). This improved to a moderate agreement by using the simplified classification (AC = 0.56; P = .004). IRA of EDs was almost perfect (AC = 0.98), and IRA of scoring the diagnostic significance was moderate (AC = 0.51). Our results suggest that the simplified classification of the PPR is suitable for implementation in clinical practice.
Asunto(s)
Encéfalo/fisiopatología , Electroencefalografía , Epilepsia/clasificación , Trastornos por Fotosensibilidad/clasificación , Adolescente , Adulto , Niño , Preescolar , Epilepsias Mioclónicas/fisiopatología , Epilepsia/fisiopatología , Epilepsia Tipo Ausencia/fisiopatología , Femenino , Humanos , Lactante , Enfermedad de Lafora/fisiopatología , Masculino , Persona de Mediana Edad , Encefalomiopatías Mitocondriales/fisiopatología , Epilepsia Mioclónica Juvenil/fisiopatología , Neurofibromatosis 1/fisiopatología , Lipofuscinosis Ceroideas Neuronales/fisiopatología , Variaciones Dependientes del Observador , Estimulación Luminosa , Trastornos por Fotosensibilidad/fisiopatología , Reproducibilidad de los Resultados , Síndrome de Rett/fisiopatología , Adulto JovenRESUMEN
OBJECTIVE: To evaluate if EEG patterns considered highly malignant are reliable predictors not only of poor neurological outcome but also reliable predictors of death. METHODS: Retrospectively, EEGs from Cardiac Arrest (CA) patients of two teaching hospitals in Lisbon were classified into 3 groups: highly malignant, malignant, and benign groups. Outcome was assessed at 6â¯months after CA by CPC (Cerebral Performance Categories) scale. We evaluated the accuracy of these patterns to predict poor neurological outcome and death. RESULTS: We included 106 patients for analysis. All patients with a highly malignant EEG (nâ¯=â¯37) presented a poor neurological outcome. Those patterns were also associated with death. Malignant EEG patterns were not associated with poor neurological outcome. Benign EEG patterns were associated with good neurological recovery (pâ¯<â¯0.0001). CONCLUSION: Highly malignant EEG patterns were strongly associated with poor neurological outcome and can be considered to be predictors of death. SIGNIFICANCE: This study increased the knowledge about the value of EEG as a tool in outcome prediction of patients after cardiac arrest.