Derivation of norms for the Dutch version of the Edinburgh cognitive and behavioral ALS screen

• Published in: Amyotrophic lateral sclerosis and frontotemporal degeneration 2019-01, Vol.20 (1-2), p.19-27
• Main Authors: Bakker, Leonhard A., Schröder, Carin D., Spreij, Lauriane A., Verhaegen, Marianne, De Vocht, Joke, Van Damme, Philip, Veldink, Jan H., Visser-Meily, Johanna M.A., van den Berg, Leonard H., Nijboer, Tanja C.W., van Es, Michael A.
• Format: Article
• Language: English
• Subjects: Aged; Amyotrophic lateral sclerosis; Amyotrophic Lateral Sclerosis - physiopathology; Amyotrophic Lateral Sclerosis - psychology; Case-Control Studies; cognitive dysfunction; Cognitive Dysfunction - diagnosis; Cognitive Dysfunction - physiopathology; Cognitive Dysfunction - psychology; Edinburgh cognitive and behavioral ALS screen; Executive Function; Female; Humans; Language; Male; Memory; Middle Aged; Netherlands; Neuropsychological Tests; normative data; Reference Values; Translations
• ISSN: 2167-8421; 2167-9223
• DOI: 10.1080/21678421.2018.1522352

Background: The Edinburgh cognitive and behavioral ALS screen (ECAS) was developed specifically to detect cognitive and behavioral changes in patients with amyotrophic lateral sclerosis (ALS). Differences with regard to normative data of different (language) versions of neuropsychological tests such as the ECAS exist. Objective: To derive norms for the Dutch version of the ECAS. Methods: Normative data were derived from a large sample of 690 control subjects and cognitive profiles were compared between a matched sample of 428 patients with ALS and 428 control subjects. Results: Age, level of education, and sex were significantly associated with performance on the ECAS in the normative sample. ECAS data were not normally distributed and therefore normative data were expressed as percentile ranks. The comparison of ECAS scores between patients and control subjects demonstrated that patients obtained significantly lower scores for language, executive function, verbal fluency, and memory, which is in line with the established cognitive profile of ALS. Conclusion: For an accurate interpretation of ECAS results, it is important to derive normative data in large samples with nonparametric methods. The present normative data provide healthcare professionals with an accurate estimate of how common or uncommon patients' ECAS scores are and provide a useful supplement to existing cut-off scores.