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Emergency room access for recurring seizures: when and why.

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Title: Emergency room access for recurring seizures: when and why.
Authors: Balestrini, S., Cagnetti, C., Foschi, N., Buratti, L., Petrelli, C., Luzzi, S., Silvestrini, M., Provinciali, L.
Source: European Journal of Neurology. Oct2013, Vol. 20 Issue 10, p1411-1416. 6p. 3 Charts.
Subjects: Hospital emergency services, Epilepsy, Regression analysis, Brain diseases, Comorbidity
Abstract: Background and purpose To develop a hypothetical model identifying potentially modifiable predictive factors of Emergency Room ( ER) visits by patients suffering from drug resistant epilepsy. Methods During a 1-year period, all adult drug resistant patients followed by the same epileptologist were recruited after the occurrence of one or more epileptic attacks. They were divided into two groups based on whether they went to the ER after seizures. A prospective comparative analysis of the clinical and social characteristics of the two groups was performed in order to identify independent predictors of ER visits. Logistic regression analysis was used to confirm the potential predictive role of the evaluated variables. Results Logistic regression analysis confirmed the potential role in predicting ER visits for these variables: foreign nationality, current psychiatric therapy, current antiepileptic drug polytherapy, comorbidities, more than one episode in the same day and changes in usual seizure pattern. A relevant association was also found between the frequency of ER neuroimaging use and the following variables: occurrence of episodes on holidays or weekends, current antiepileptic drug monotherapy, multiple comorbidities and brain injury after seizure. Conclusions The present study evaluated factors, some potentially amenable to change, related to drug resistant epileptic patients' ER visits following a seizure. This information may serve to improve the clinical and therapeutic management of patients, decrease the need for urgent care and reduce subsequent patient stress and related costs. [ABSTRACT FROM AUTHOR]
Copyright of European Journal of Neurology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Emergency room access for recurring seizures: when and why.
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  Data: <searchLink fieldCode="AR" term="%22Balestrini%2C+S%2E%22">Balestrini, S.</searchLink><br /><searchLink fieldCode="AR" term="%22Cagnetti%2C+C%2E%22">Cagnetti, C.</searchLink><br /><searchLink fieldCode="AR" term="%22Foschi%2C+N%2E%22">Foschi, N.</searchLink><br /><searchLink fieldCode="AR" term="%22Buratti%2C+L%2E%22">Buratti, L.</searchLink><br /><searchLink fieldCode="AR" term="%22Petrelli%2C+C%2E%22">Petrelli, C.</searchLink><br /><searchLink fieldCode="AR" term="%22Luzzi%2C+S%2E%22">Luzzi, S.</searchLink><br /><searchLink fieldCode="AR" term="%22Silvestrini%2C+M%2E%22">Silvestrini, M.</searchLink><br /><searchLink fieldCode="AR" term="%22Provinciali%2C+L%2E%22">Provinciali, L.</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22European+Journal+of+Neurology%22">European Journal of Neurology</searchLink>. Oct2013, Vol. 20 Issue 10, p1411-1416. 6p. 3 Charts.
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  Data: <searchLink fieldCode="DE" term="%22Hospital+emergency+services%22">Hospital emergency services</searchLink><br /><searchLink fieldCode="DE" term="%22Epilepsy%22">Epilepsy</searchLink><br /><searchLink fieldCode="DE" term="%22Regression+analysis%22">Regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Brain+diseases%22">Brain diseases</searchLink><br /><searchLink fieldCode="DE" term="%22Comorbidity%22">Comorbidity</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Background and purpose To develop a hypothetical model identifying potentially modifiable predictive factors of Emergency Room ( ER) visits by patients suffering from drug resistant epilepsy. Methods During a 1-year period, all adult drug resistant patients followed by the same epileptologist were recruited after the occurrence of one or more epileptic attacks. They were divided into two groups based on whether they went to the ER after seizures. A prospective comparative analysis of the clinical and social characteristics of the two groups was performed in order to identify independent predictors of ER visits. Logistic regression analysis was used to confirm the potential predictive role of the evaluated variables. Results Logistic regression analysis confirmed the potential role in predicting ER visits for these variables: foreign nationality, current psychiatric therapy, current antiepileptic drug polytherapy, comorbidities, more than one episode in the same day and changes in usual seizure pattern. A relevant association was also found between the frequency of ER neuroimaging use and the following variables: occurrence of episodes on holidays or weekends, current antiepileptic drug monotherapy, multiple comorbidities and brain injury after seizure. Conclusions The present study evaluated factors, some potentially amenable to change, related to drug resistant epileptic patients' ER visits following a seizure. This information may serve to improve the clinical and therapeutic management of patients, decrease the need for urgent care and reduce subsequent patient stress and related costs. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of European Journal of Neurology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=90180649
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        Value: 10.1111/ene.12203
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              Text: Oct2013
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