Early eGAnds and clinical manifestations predict the occurrence of NCSE

Critical care continuity electroencephalography (CCEEG) is an important indicator of non-convulsive epilepsy in patients with neurocritical disorders (nonconvulives status epilepticus, NCSE), but a significant investment in human and technical resourcesTherefore, it is necessary to study the use of early conventional electroencephalograms (short-term routine EEG) and observation of clinical manifestations to predict the likelihood of non-convulsive epilepsy (NCS) or NCSEJohannes Koren of the Neurology Department of Hietzing General Hospital in Vienna, Austria, predicted ncSE outcomes against CCEEG in the first 30 minutes of EEG and clinical symptoms in 85 patients with neurocritical disease- Excerpted from the article chapter: "Ref: Koren J, et alNeurocrit Care2018 Jul 11doi: 10.1007/s12028-018-0563-3thecritical care monitoring continuous electroencephalography (CCEEG) is an important indicator for determining whether neurocritical patients have a non-convulsive epileptic persistence (nonconvulsive epileptic status, NCSE), but with a lot of human and technical investmentTherefore, it is necessary to study the use of early conventional electroencephalograms (short-term routine EEG) and observation of clinical manifestations to predict the likelihood of non-convulsive epilepsy (NCS) or NCSEJohannes Koren of the Neurology Department of Hietzing General Hospital in Vienna, Austria, predicted ncSE outcomes against CCEEG in the first 30 minutes of EEG and clinical symptoms in 85 patients with neurocritical diseaseThe results were published online in The July 2018 issue of Neurocrit Carestudies have found that the incidence of distributive epileptic discharge (sporadic epileptic discharges, SED), "seizure-inter-seizure instability" rhythm and periodic eeG-pattern "ictal-interictal uncertainty", RPPIIIU) (OR-15.51; 9 5% CI, 2.83-84.84; p-0.002), NCS Clinical Symptoms (OR-18.43; 95% CI, 2.06-164.62; p-0.009) can predict NCSE as effectively as CCEEGEspecially when combined with early SED, early RPPIIIU and NCS clinical symptoms, NCSE can be diagnosed, diagnostic sensitivity is 79%-100%, specificity is 49%-89%, negative prediction is 95%-100% (p 0.001) (Tables 1, 2)table 1EEG for the first 30 minutes of 85 patients divided neurointensive care patients into four groups based on the first 30 minutes of EEG: early NCSE group, early RPPIIIU group, early SED group and control group CCEEG: Intensive Care Continuous Electroencephalogram; GCS: Glasgow Coma Scale; ICU: intensive care unit; NCS: non-convulsive seizures; NCSE: non-convulsive continuity; RPPIIIU: "Seizure-Inter-seizure Instability" rhythmic and periodic electroencephalogram patterns; SED: exuding epileptic discharge; TBI: traumatic brain injury Table 2 Single and multi-factor analysis of clinical performance and EEG variables predicting NCSE occurrence the results of the study, according to the early SED and early RPPIIIU of the eEG in patients with neurocritical disease in the first 30 minutes, as well as clinical symptoms can predict the occurrence of NCS or NCSE, with the same diagnostic effect as CCEEG;