Diagnostic criteria for amyotrophic lateral sclerosis: A multicentre study of inter-rater variation and sensitivity
- PMID: 30573424
- DOI: 10.1016/j.clinph.2018.11.021
Diagnostic criteria for amyotrophic lateral sclerosis: A multicentre study of inter-rater variation and sensitivity
Abstract
Objective: This study assesses inter-rater agreement and sensitivity of diagnostic criteria for amyotrophic lateral sclerosis (ALS).
Methods: Clinical and electrophysiological data of 399 patients with suspected ALS were collected by eleven experienced physicians from ten different countries. Eight physicians classified patients independently and blinded according to the revised El Escorial Criteria (rEEC) and to the Awaji Criteria (AC). Inter-rater agreement was assessed by Kappa coefficients, sensitivity by majority diagnosis on 350 patients with follow-up data.
Results: Inter-rater agreement was generally low both for rEEC and AC. Agreement was best on the categories "Not-ALS", "Definite", and "Probable", and poorest for "Possible" and "Probable Laboratory-supported". Sensitivity was equal for rEEC (64%) and AC (63%), probably due to downgrading of "Probable Laboratory-supported" patients by AC. However, AC was significantly more effective in classifying patients as "ALS" versus "Not-ALS" (p < 0.0001).
Conclusions: Inter-rater variation is high both for rEEC and for AC probably due to a high complexity of the rEEC inherent in the AC. The gain of AC on diagnostic sensitivity is reduced by the omission of the "Probable Laboratory-supported" category.
Significance: The results highlight a need for initiatives to develop simpler and more reproducible diagnostic criteria for ALS in clinical practice and research.
Keywords: Amyotrophic lateral sclerosis; Awaji criteria; Diagnostic criteria; Electrodiagnosis; Electromyography; Inter-rater variation; Revised El Escorial criteria.
Copyright © 2018 International Federation of Clinical Neurophysiology. All rights reserved.
Comment in
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Is it time to depart from dichotomization in ALS diagnosis?Clin Neurophysiol. 2019 Feb;130(2):303-304. doi: 10.1016/j.clinph.2018.12.001. Epub 2018 Dec 15. Clin Neurophysiol. 2019. PMID: 30573425 No abstract available.
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