[Consensus clinical practice guidelines of the Sociedad Andaluza de Epilepsia for the diagnosis and treatment of patients with their first epileptic seizure in emergencies]

Autor: P J, Serrano-Castro, J C, Sánchez-Alvarez, F M, Cañadillas-Hidalgo, J M, Galán-Barranco, V, Moreno-Alegre, J M, Mercadé-Cerdá
Rok vydání: 2009
Předmět:
Zdroj: Revista de neurologia. 48(1)
ISSN: 1576-6578
Popis: Epileptic seizures are the cause of between 0.3 and 1.2% of all visits to hospital emergency departments. Twenty-five per cent of patients visit after having their first seizure. Such an impact seems to justify the development of a health care protocol. Our proposal is to draw up a set of implicit evidence-based consensus practice guidelines, to use Liberati's nomenclature, concerning aspects related to the diagnostic procedure and recommended therapeutic management of patients with a first seizure who are being attended in an emergency department.A selective search was conducted on PubMed-Medline for quality scientific information on the subject using scientific evidence filters. This search was completed in other scientific evidence search engines, such as Tripdatabase, Biblioteca Cochrane Plus or DARE. The selected references were analysed and discussed by the authors, and the available evidence and any recommendations that could be drawn from it were collected.A total of 47 primary documents and 10 practice guidelines or protocols related with the proposed topic were identified. The recommendations were inserted in the text explicitly.The diagnostic and therapeutic protocol for all paroxysmal phenomena in emergencies consists of three successive phases: diagnosis of the cause of the epilepsy, integration of the significance of the seizure within the clinical context, and designing the therapeutic scheme. Each phase will depend on the outcomes of the previous one as a decision algorithm. The fundamental tools in each phase are: patient record and examination (phase 1), and complementary tests (phase 2). They are then used to produce a therapeutic decision scheme.
Databáze: OpenAIRE