Prognostic modelling of therapeutic interventions in amyotrophic lateral sclerosis

M R Turner, M Bakker, P Sham, C E Shaw, P N Leigh, A Al-Chalabi

Research output: Contribution to journalArticlepeer-review

86 Citations (Scopus)

Abstract

BACKGROUND: Amyotrophic lateral sclerosis (ALS) is a disease with a widely varying prognosis. The majority of patients survive about 3 years, but a significant number survive for 10 years or more, leading to problems in clinical trial design. OBJECTIVE: To demonstrate that simple clinical variables can be used to construct a robust predictive model for survival, and to assess the effect of a known treatment within this model. METHODS: We carried out a retrospective multivariate modelling of a database of 841 patients with ALS seen over a 10-year period in a specialist motor neuron disorders clinic. The use of riluzole was tested as a prognostic factor within the model. RESULTS: A prognostic score generated from one cohort of patients predicted survival for a second cohort of patients (r(2) =0.78). Prognostic variables included site of onset, age of onset, time from symptom onset to diagnosis, and El Escorial category at presentation. Riluzole therapy was an independently significant prognostic factor (relative risk of death 0.48, P
Original languageEnglish
Pages (from-to)15 - 21
Number of pages7
JournalAmyotrophic Lateral Sclerosis and Other Motor Neuron Disorders
Volume3
Issue number1
DOIs
Publication statusPublished - 2002

Fingerprint

Dive into the research topics of 'Prognostic modelling of therapeutic interventions in amyotrophic lateral sclerosis'. Together they form a unique fingerprint.

Cite this