Exploring the diagnosis delay and ALS functional impairment at diagnosis as relevant criteria for clinical trial enrolment

Amyotroph Lateral Scler Frontotemporal Degener. 2017 Nov;18(7-8):519-527. doi: 10.1080/21678421.2017.1353098. Epub 2017 Aug 1.

Abstract

Objectives were: i) to describe the phenotypic heterogeneity of incident amyotrophic lateral sclerosis (ALS) patients diagnosed in 2012 in French ALS centres; ii) to look at the associations between ALSFRS-R score and ALSFRS-R slope (ΔFS) at time of diagnosis with diagnosis delay, ALS phenotypes and Airlie House diagnosis criteria (AHDC); iii) to describe the rate of progression on ΔFS, according to diagnosis delay.

Methods: Incident ALS cases diagnosed in French ALS centres were included. The rate of progression was evaluated as follows: ΔFS = (48 - ALSFRS-R at time of diagnosis)/duration from onset to diagnosis (months). Fast and slow progressors were defined by ΔFS >1 and <0.5, respectively.

Results: At time of diagnosis, 476 patients were classified into eight phenotypes: bulbar (33.0%), spinal lumbar (28.2%), spinal cervical (23.1%), flail leg (4.4%), ALS/FTD (4.2%), possible flail arm (4.0%), respiratory (2.1%), dropped-head (1.0%). Median ΔFS (n = 358/476) was 1.0 [0.5-2.0]. ΔFS was associated with AHDC (p = 0.009), but not with clinical phenotype (p = 0.902). Stratification on diagnosis delay (<12 months or ≥18 months) allowed to differentiate fast progressors from slow progressors.

Conclusion: At time of inclusion in therapeutic trial closed to diagnosis, ΔFS or diagnosis delay may discriminate the rate of progression.

Keywords: ALSFRS-R slope; Amyotrophic lateral sclerosis; clinical trial; diagnosis delay; phenotype.

MeSH terms

  • Aged
  • Amyotrophic Lateral Sclerosis / diagnosis*
  • Amyotrophic Lateral Sclerosis / epidemiology*
  • Clinical Trials as Topic / statistics & numerical data*
  • Cross-Sectional Studies
  • Delayed Diagnosis / statistics & numerical data*
  • Diagnostic Techniques, Neurological / statistics & numerical data*
  • Disease Progression*
  • Female
  • France / epidemiology
  • Humans
  • Male
  • Middle Aged
  • Patient Selection*
  • Prevalence
  • Symptom Assessment