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

Title: Acute seizure risk in patients with encephalitis: development and validation of clinical prediction models from two independent prospective multicentre cohorts
Authors: Wood, GK; Babar, R; Ellul, MA; Thomas, RH; Van Den Tooren, H; Easton, A; Tharmaratnam, K; Burnside, G; Alam, AM; Castell, H; Boardman, S; Collie, C; Facer, B; Dunai, C; Defres, S; Granerod, J; Brown, DWG; Vincent, A; Marson, AG; Irani, SR; Solomon, T; Michael, BD
Publisher Information: BMJ Publishing Group
Publication Year: 2025
Collection: Oxford University Research Archive (ORA)
Description: 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
Document Type: article in journal/newspaper
Language: English
DOI: 10.1136/bmjno-2022-000323
Availability: https://doi.org/10.1136/bmjno-2022-000323; https://ora.ox.ac.uk/objects/uuid:d40c3ab6-d41a-4c83-8b6d-5ecef5fdbb2b
Rights: info:eu-repo/semantics/openAccess ; CC Attribution (CC BY)
Accession Number: edsbas.DB0B85CF
Database: BASE