Publikation

Diagnostic criteria for amyotrophic lateral sclerosis: A multicentre study of inter-rater variation and sensitivity

Wissenschaftlicher Artikel/Review - 09.12.2018

Bereiche
PubMed
DOI

Zitation
Johnsen B, Swash M, Abraham A, Drory V, Weber M, Neuwirth C, Czell D, Maderna L, Schofield I, Liguori R, Nix W, Camdessanché J, Dengler R, Paracka L, Kollewe K, Fuglsang-Frederiksen A, Pugdahl K, DE CARVALHO M. Diagnostic criteria for amyotrophic lateral sclerosis: A multicentre study of inter-rater variation and sensitivity. Clin Neurophysiol 2018
Art
Wissenschaftlicher Artikel/Review (Englisch)
Zeitschrift
Clin Neurophysiol 2018
Veröffentlichungsdatum
09.12.2018
eISSN (Online)
1872-8952
Kurzbeschreibung/Zielsetzung

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.