| Fasciculation potentials in amyotrophic lateral sclerosis and the diagnostic yield of the Awaji algorithm. | |
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MedLine Citation:
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PMID: 22246871 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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Introduction: The role of fasciculation potentials (FPs) in the diagnosis of amyotrophic lateral sclerosis (ALS) has been underrated. The Awaji algorithm has restored the value of FPs. Our aim was to test the diagnostic yield of the Awaji algorithm, with consideration of FPs. Methods: Subjects consisted of 139 consecutive ALS patients retrospectively enrolled over 5 years. At presentation we evaluated the diagnostic categories using the revised El Escorial Criteria (R-EEC) and the Awaji algorithm. Results: The percentage of patients classified as confirmed ALS, clinically probable (laboratory-supported), or higher was 43% using the R-EEC and 37% using the Awaji algorithm. Thirteen patients with upper motor neuron signs only in one body region showed a decrease in their category using the Awaji algorithm. FPs were observed in 89% of ALS patients and were frequent in proximal muscles. Conclusion: The sensitivity of the Awaji algorithm is lower than that of the R-EEC. Muscle Nerve, 2012. |
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Authors:
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Mana Higashihara; Masahiro Sonoo; Ichiro Imafuku; Toshio Fukutake; Keiko Kamakura; Kiyoharu Inoue; Yuki Hatanaka; Teruo Shimizu; Shoji Tsuji; Yoshikazu Ugawa |
Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Muscle & nerve Volume: 45 ISSN: 1097-4598 ISO Abbreviation: Muscle Nerve Publication Date: 2012 Feb |
Date Detail:
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Created Date: 2012-01-16 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 7803146 Medline TA: Muscle Nerve Country: United States |
Other Details:
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Languages: eng Pagination: 175-82 Citation Subset: IM |
Copyright Information:
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Copyright © 2011 Wiley Periodicals, Inc. |
Affiliation:
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Department of Neurology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan; Department of Neurology, National Defense Medical College, Tokorozawa, Japan. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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