Autor: |
Greta K Wood, Roshan Babar, Mark A Ellul, Rhys Huw Thomas, Harriet Van Den Tooren, Ava Easton, Kukatharmini Tharmaratnam, Girvan Burnside, Ali M Alam, Hannah Castell, Sarah Boardman, Ceryce Collie, Bethany Facer, Cordelia Dunai, Sylviane Defres, Julia Granerod, David W G Brown, Angela Vincent, Anthony Guy Marson, Sarosh R Irani, Tom Solomon, Benedict D Michael |
Jazyk: |
angličtina |
Rok vydání: |
2022 |
Předmět: |
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Zdroj: |
BMJ Neurology Open |
Popis: |
ObjectiveIn patients with encephalitis, the development of acute symptomatic seizures is highly variable, but when present is associated with a worse outcome. We aimed to determine the factors associated with seizures in encephalitis and develop a clinical prediction model.MethodsWe analysed 203 patients from 24 English hospitals (2005–2008) (Cohort 1). Outcome measures were seizures prior to and during admission, inpatient seizures and status epilepticus. A binary logistic regression risk model was converted to a clinical score and independently validated on an additional 233 patients from 31 UK hospitals (2013–2016) (Cohort 2).ResultsIn Cohort 1, 121 (60%) patients had a seizure including 103 (51%) with inpatient seizures. Admission Glasgow Coma Scale (GCS) ≤8/15 was predictive of subsequent inpatient seizures (OR (95% CI) 5.55 (2.10 to 14.64), pA clinical model of overall seizure risk identified admission GCS along with aetiology (autoantibody-associated OR 11.99 (95% CI 2.09 to 68.86) and Herpes simplex virus 3.58 (95% CI 1.06 to 12.12)) (area under receiver operating characteristics curve (AUROC) =0.75 (95% CI 0.701 to 0.848), pConclusionAge, GCS, fever and aetiology can effectively stratify acute seizure risk in patients with encephalitis. These findings can support the development of targeted interventions and aid clinical trial design for antiseizure medication prophylaxis. |
Databáze: |
OpenAIRE |
Externí odkaz: |
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