Literature DB >> 33565111

Diagnostic Utility of Gold Coast Criteria in Amyotrophic Lateral Sclerosis.

Andrew Hannaford1, Nathan Pavey1, Mehdi van den Bos1, Nimeshan Geevasinga1, Parvathi Menon1, Jeremy M Shefner2, Matthew C Kiernan3, Steve Vucic1.   

Abstract

OBJECTIVE: The diagnosis of amyotrophic lateral sclerosis (ALS) remains problematic, with current diagnostic criteria (revised El Escorial [rEEC] and Awaji) being complex and prone to error. Consequently, the diagnostic utility of the recently proposed Gold Coast criteria was determined in ALS.
METHODS: We retrospectively reviewed 506 patients (302 males, 204 females) to compare the diagnostic accuracy of the Gold Coast criteria to that of the Awaji and rEEC criteria (defined by the proportion of patients categorized as definite, probable, or possible ALS) in accordance with standards of reporting of diagnostic accuracy criteria.
RESULTS: The sensitivity of Gold Coast criteria (92%, 95% confidence interval [CI] = 88.7-94.6%) was comparable to that of Awaji (90.3%, 95% CI = 86.69-93.2%) and rEEC (88.6, 95% CI = 84.8-91.7%) criteria. Additionally, the Gold Coast criteria sensitivity was maintained across different subgroups, defined by site of onset, disease duration, and functional disability. In atypical ALS phenotypes, the Gold Coast criteria exhibited greater sensitivity and specificity.
INTERPRETATION: The present study established the diagnostic utility of the Gold Coast criteria in ALS, with benefits evident in bulbar and limb onset disease patients, as well as atypical phenotypes. The Gold Coast criteria should be considered in clinical practice and therapeutic trials. ANN NEUROL 2021;89:979-986.
© 2021 American Neurological Association.

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Year:  2021        PMID: 33565111     DOI: 10.1002/ana.26045

Source DB:  PubMed          Journal:  Ann Neurol        ISSN: 0364-5134            Impact factor:   10.422


  11 in total

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10.  The Gold Coast criteria increases the diagnostic sensitivity for amyotrophic lateral sclerosis in a Chinese population.

Authors:  Dongchao Shen; Xunzhe Yang; Yanying Wang; Di He; Xiaohan Sun; Zhengyi Cai; Jinyue Li; Mingsheng Liu; Liying Cui
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