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Prognostic categories for amyotrophic lateral sclerosis
journal contribution
posted on 2023-06-08, 12:01 authored by W J Scotton, K M Scott, D H Moore, L Almedom, L C Wijesekera, A Janssen, C Nigro, M Sakel, Nigel LeighNigel Leigh, C Shaw, A Al-ChalabiOur objective was to generate a prognostic classification method for amyotrophic lateral sclerosis (ALS) from a prognostic model built using clinical variables from a population register. We carried out a retrospective multivariate analysis of 713 patients with ALS over a 20-year period from the South-East England Amyotrophic Lateral Sclerosis (SEALS) population register. Patients were randomly allocated to 'discovery' or 'test' cohorts. A prognostic score was calculated using the discovery cohort and then used to predict survival in the test cohort. The score was used as a predictor variable to split the test cohort in four prognostic categories (good, moderate, average, poor). The accuracy of the score in predicting survival was tested by checking whether the predicted survival fell within the actual survival tertile which that patient was in. A prognostic score generated from one cohort of patients predicted survival for a second cohort of patients (r(2) =?0.72). Six variables were included in the survival model: age at onset, diagnostic delay, El Escorial category, use of riluzole, gender and site of onset. Cox regression demonstrated a strong relationship between these variables and survival (?(2) 80.8, df 1, p
History
Publication status
- Published
Journal
Amyotrophic Lateral SclerosisISSN
1471-180XPublisher
Informa HealthcareExternal DOI
Issue
6Volume
13Page range
502-508Department affiliated with
- Clinical and Experimental Medicine Publications
Full text available
- No
Peer reviewed?
- Yes
Legacy Posted Date
2012-11-09Usage metrics
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