Acute seizure risk in patients with encephalitis: development and validation of clinical prediction models from two independent prospective multicentre cohorts

Autor: Girvan Burnside, Sarosh R Irani, Tom Solomon, Angela Vincent, Anthony Guy Marson, Benedict D Michael, Cordelia Dunai, Ava Easton, Rhys Huw Thomas, Sylviane Defres, Mark A Ellul, Kukatharmini Tharmaratnam, David W G Brown, Greta K Wood, Ali M Alam, Roshan Babar, Harriet Van Den Tooren, Hannah Castell, Sarah Boardman, Ceryce Collie, Bethany Facer, Julia Granerod
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: BMJ Neurology Open, Vol 4, Iss 2 (2022)
Druh dokumentu: article
ISSN: 2632-6140
DOI: 10.1136/bmjno-2022-000323
Popis: Objective In 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.Methods We 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).Results In 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), p
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