Diagnostic criteria for amyotrophic lateral sclerosis: A multicentre study of inter-rater variation and sensitivity. Issue 2 (February 2019)

• Record Type: Journal Article
• Authors: Johnsen, B.; Pugdahl, K.; Fuglsang-Frederiksen, A.; Kollewe, K.; Paracka, L.; Dengler, R.; Camdessanché, J.P.; Nix, W.; Liguori, R.; Schofield, I.; Maderna, L.; Czell, D.; Neuwirth, C.; Weber, M.; Drory, V.E.; Abraham, A.; Swash, M.; de Carvalho, M.
• Is Part Of: Clinical neurophysiology. Volume 130:Issue 2(2019:Feb.)
• Page Start: 307
• Page End: 314
• Publication Date: 2019-02
• Subjects: Amyotrophic lateral sclerosis -- Awaji criteria -- Revised El Escorial criteria -- Diagnostic criteria -- Inter-rater variation -- Electromyography -- Electrodiagnosis; Neurophysiology -- Periodicals; Electroencephalography -- Periodicals; Electromyography -- Periodicals; Neurology -- Periodicals; 612.8
• DOI: 10.1016/j.clinph.2018.11.021
• Languages: English
• ISSNs: 1388-2457

Abstract

Highlights: Inter-rater variation in the use of diagnostic criteria for amyotrophic lateral sclerosis is high. Revised El Escorial and Awaji criteria are complex and might require training for use. The Awaji criteria have a positive impact on diagnostic sensitivity in subgroups. 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.