Status epilepticus in children, adults, and the elderly. 1992

R J DeLorenzo, and A R Towne, and J M Pellock, and D Ko
Department of Neurology, Medical College of Virginia, Virginia Commonwealth University, Richmond.

Status epilepticus (SE) is a major neurological and medical emergency associated with a high morbidity and mortality. Retrospective and prospective studies from the Medical College of Virginia Epilepsy Research Center have been utilized to investigate several clinical and epidemiological factors associated with SE. Univariate and multivariate logistic regression analysis of predictive indicators in patients with SE indicated that seizure duration, certain specific etiologies, and age were predictors of mortality. Sex, race, and certain other etiologies were not found to be factors that significantly affect mortality. These findings demonstrate that specific indicators are important in predicting mortality in SE. Preliminary prospective epidemiological data from Richmond, Virginia suggested that more than 250,000 cases of SE may occur annually in the United States with a mortality greater than 55,000 individuals. Studies comparing community and university hospitals in Richmond indicate that the mortality and clinical variables associated with SE in these two hospital populations are essentially identical. Further investigations employing prospective population-based studies are essential in evaluating the epidemiology and mortality of SE.

UI MeSH Term Description Entries
D007223 Infant A child between 1 and 23 months of age. Infants
D008297 Male Males
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D011336 Probability The study of chance processes or the relative frequency characterizing a chance process. Probabilities
D011446 Prospective Studies Observation of a population for a sufficient number of persons over a sufficient number of years to generate incidence or mortality rates subsequent to the selection of the study group. Prospective Study,Studies, Prospective,Study, Prospective
D012044 Regression Analysis Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable. Regression Diagnostics,Statistical Regression,Analysis, Regression,Analyses, Regression,Diagnostics, Regression,Regression Analyses,Regression, Statistical,Regressions, Statistical,Statistical Regressions
D002648 Child A person 6 to 12 years of age. An individual 2 to 5 years old is CHILD, PRESCHOOL. Children
D002675 Child, Preschool A child between the ages of 2 and 5. Children, Preschool,Preschool Child,Preschool Children
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man

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