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Introduction:Status epilepticus (SE) is a medical emergency. Aim of this study was to examine the etiology and outcome of adult patients in status epilepticus presenting to our center.Patients and Methods:A prospective study was conducted from January 2009 to December 2010. Newly diagnosed patients as well as known case of seizure disorder presenting with status epilepticus were included. Detailed history, clinical examination, baseline investigation, neuroimaging electroencephalogram findings were recorded. Patients were treated using a standard protocol and were followed-up for 2 weeks after discharge. Quantification of precipitating factors was done using proportion, mean and standard deviation.Results:80 consecutive patients were studied. Mean age was 38.43 ± 16.56 years (range 13 to 78 years). Male to female ratio was 4:1. 57.5% were known cases of seizure disorders. Generalized tonic-clonic seizure was commonest presentation in 91.30%. Majority (97.5%) had convulsive SE. Poor drug compliance was found to be the commonest precipitant (50% patients), followed by central nervous system infection (20% patients. Alcohol intake contributed in 12.5% cases, whereas, precipitating factor couldn't be traced in 7.5% patients'. In 55% patients, SE was controlled with no recurrence or complication and in 25% there was recurrence after control of SE. 15% patients ended up with persistent sequel (cognitive and psychosomatic dysfunction, neurological deficit etc.) lasting for 2 weeks or more. The mortality was 5%.Conclusion:Poor compliance with drugs (in established cases of seizure disorders) and central nervous systems infections/structural lesions (in new onset cases) were commonest causes of SE in our study group. Conventional first line antiepileptics were able to control seizures in only 55% patients.

A multifaceted or multi-interface web service is a web service that offers interfaces to clients and to other peer web services. The multifaceted web service uses a generic parameter-based approach developed in this paper to allow for collaboration between web servers. This parametric approach solves security and scalability problems and is found to be applicable in many situations. Such an approach is necessary to permit easy collaboration and secure resource sharing. We describe one instantiation of such an approach in the form of a global grid scheduler for data parallel (or Single Program Multiple Data) programs. This scheduler demonstrates the usefulness of our approach in current business environments where administrative policies are a major factor in scheduling decisions.

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Breakdown analysis involves decomposing data into subgroups to allow for comparison and identification of problem areas. Good analysis requires the ability to group data based on attributes or values. Breakdown Visualization provides a mechanism to support this analysis through user guided decomposition and exploration of tabular data with a polyarchy structure. This is useful in domains such as sports statistics and corporate financial reports. Breakdown Visualization utilizes a spreadsheet format for comparison of adjacent visualizations.

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