Marked impairment of consciousness, brain lesion on neuroimaging, and nonreactive electroencephalographic (EEG) background activity are established outcome predictors in patients with hypoxic encephalopathy. In this observational cohort study, we aimed to assess the predictive value of clinical, neuroimaging and EEG characteristics for outcome in different types of acute nonhypoxic encephalopathic patients. All adult intensive care unit patients from a tertiary academic medical care center with clinical and EEG evidence of acute nonhypoxic encephalopathy were included from 2004 to 2012. Clinical data, neuroimaging studies, EEG characteristics, and outcome were assessed. In-hospital death was the main outcome. Median age of 262 patients was ...
Objective. To test the value of quantifiable electrical stimuli as a reliable method to assess elect...
Objective. To determine the frequency of nonconvulsive status epilepticus (NCSE), epileptiform activ...
Objective: To identify reliable predictors of outcome in comatose patients after cardiac arrest usin...
The term encephalopathy encompasses a wide variety of complex syndromes caused by a large number of ...
Early prognostication in patients with acute consciousness impairment is a challenging but essential...
Acute encephalopathy in hospitalized patients is common and associated with high mortality. Preserva...
To identify the relationship between pathologic electroencephalographic (EEG) patterns, clinical and...
The term encephalopathy encompasses a wide variety of syndromes caused by a large number of differen...
OBJECTIVES: EEG and serum neuron-specific enolase (NSE) are used for outcome prognostication in pati...
OBJECTIVES: Electroencephalogram features predict neurologic recovery following cardiac arrest. Rece...
The use of new cardiopulmonary resuscitation techniques has considerably increased the possibility o...
To confirm the previously identified EEG characteristics for HSV encephalitis and to determine the d...
Nonconvulsive seizures (NCS) are frequent in hospitalized patients and may further aggravate injury ...
Objective: Outcome prediction in patients after cardiac arrest (CA) is challenging. Electroencephalo...
Importance: Neuroprognostication studies are potentially susceptible to a self-fulfilling prophecy a...
Objective. To test the value of quantifiable electrical stimuli as a reliable method to assess elect...
Objective. To determine the frequency of nonconvulsive status epilepticus (NCSE), epileptiform activ...
Objective: To identify reliable predictors of outcome in comatose patients after cardiac arrest usin...
The term encephalopathy encompasses a wide variety of complex syndromes caused by a large number of ...
Early prognostication in patients with acute consciousness impairment is a challenging but essential...
Acute encephalopathy in hospitalized patients is common and associated with high mortality. Preserva...
To identify the relationship between pathologic electroencephalographic (EEG) patterns, clinical and...
The term encephalopathy encompasses a wide variety of syndromes caused by a large number of differen...
OBJECTIVES: EEG and serum neuron-specific enolase (NSE) are used for outcome prognostication in pati...
OBJECTIVES: Electroencephalogram features predict neurologic recovery following cardiac arrest. Rece...
The use of new cardiopulmonary resuscitation techniques has considerably increased the possibility o...
To confirm the previously identified EEG characteristics for HSV encephalitis and to determine the d...
Nonconvulsive seizures (NCS) are frequent in hospitalized patients and may further aggravate injury ...
Objective: Outcome prediction in patients after cardiac arrest (CA) is challenging. Electroencephalo...
Importance: Neuroprognostication studies are potentially susceptible to a self-fulfilling prophecy a...
Objective. To test the value of quantifiable electrical stimuli as a reliable method to assess elect...
Objective. To determine the frequency of nonconvulsive status epilepticus (NCSE), epileptiform activ...
Objective: To identify reliable predictors of outcome in comatose patients after cardiac arrest usin...