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A model incorporating ultrasound to predict the probability of fast disease progression in amyotrophic lateral sclerosis

Objective: We aimed to develop a model to predict amyotrophic lateral sclerosis (ALS) disease progression based on clinical and neuromuscular ultrasound (NMUS) parameters. Methods: ALS patients were prospectively recruited. Muscle fasciculation ( 1.22 (p = 0.026). A predictive model (scores 0-5) was...

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Main Authors: Toh, Tsun-Haw, Abdul-Aziz, Nur Adilah, Yahya, Mohd Azly, Goh, Khean-Jin, Loh, Ee-Chin, Capelle, David Paul, Shahrizaila, Nortina
Format: Article
Published: Elsevier 2021
Subjects:
R Medicine (General)
Online Access:http://eprints.um.edu.my/28573/
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spelling my.um.eprints.285732022-08-16T06:48:41Z http://eprints.um.edu.my/28573/ A model incorporating ultrasound to predict the probability of fast disease progression in amyotrophic lateral sclerosis Toh, Tsun-Haw Abdul-Aziz, Nur Adilah Yahya, Mohd Azly Goh, Khean-Jin Loh, Ee-Chin Capelle, David Paul Shahrizaila, Nortina R Medicine (General) Objective: We aimed to develop a model to predict amyotrophic lateral sclerosis (ALS) disease progression based on clinical and neuromuscular ultrasound (NMUS) parameters. Methods: ALS patients were prospectively recruited. Muscle fasciculation ( 1.22 (p = 0.026). A predictive model (scores 0-5) was built with excellent discrimination (area under curve: 0.915). Using a score of 3, the model demonstrated good sensitivity (81.3%) and specificity (91.0%) in differentiating fast from non-fast progressors. Conclusion: The current model is simple and can predict the probability of fast disease progression. Significance: This model has potential as a surrogate biomarker of ALS disease progression. (c) 2021 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved. Elsevier 2021-10 Article PeerReviewed Toh, Tsun-Haw and Abdul-Aziz, Nur Adilah and Yahya, Mohd Azly and Goh, Khean-Jin and Loh, Ee-Chin and Capelle, David Paul and Shahrizaila, Nortina (2021) A model incorporating ultrasound to predict the probability of fast disease progression in amyotrophic lateral sclerosis. Clinical Neurophysiology, 132 (10). pp. 2722-2728. ISSN 1388-2457, DOI https://doi.org/10.1016/j.clinph.2021.05.034 <https://doi.org/10.1016/j.clinph.2021.05.034>. 10.1016/j.clinph.2021.05.034
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic R Medicine (General)
spellingShingle R Medicine (General)
Toh, Tsun-Haw
Abdul-Aziz, Nur Adilah
Yahya, Mohd Azly
Goh, Khean-Jin
Loh, Ee-Chin
Capelle, David Paul
Shahrizaila, Nortina
A model incorporating ultrasound to predict the probability of fast disease progression in amyotrophic lateral sclerosis
description Objective: We aimed to develop a model to predict amyotrophic lateral sclerosis (ALS) disease progression based on clinical and neuromuscular ultrasound (NMUS) parameters. Methods: ALS patients were prospectively recruited. Muscle fasciculation ( 1.22 (p = 0.026). A predictive model (scores 0-5) was built with excellent discrimination (area under curve: 0.915). Using a score of 3, the model demonstrated good sensitivity (81.3%) and specificity (91.0%) in differentiating fast from non-fast progressors. Conclusion: The current model is simple and can predict the probability of fast disease progression. Significance: This model has potential as a surrogate biomarker of ALS disease progression. (c) 2021 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.
format Article
author Toh, Tsun-Haw
Abdul-Aziz, Nur Adilah
Yahya, Mohd Azly
Goh, Khean-Jin
Loh, Ee-Chin
Capelle, David Paul
Shahrizaila, Nortina
author_facet Toh, Tsun-Haw
Abdul-Aziz, Nur Adilah
Yahya, Mohd Azly
Goh, Khean-Jin
Loh, Ee-Chin
Capelle, David Paul
Shahrizaila, Nortina
author_sort Toh, Tsun-Haw
title A model incorporating ultrasound to predict the probability of fast disease progression in amyotrophic lateral sclerosis
title_short A model incorporating ultrasound to predict the probability of fast disease progression in amyotrophic lateral sclerosis
title_full A model incorporating ultrasound to predict the probability of fast disease progression in amyotrophic lateral sclerosis
title_fullStr A model incorporating ultrasound to predict the probability of fast disease progression in amyotrophic lateral sclerosis
title_full_unstemmed A model incorporating ultrasound to predict the probability of fast disease progression in amyotrophic lateral sclerosis
title_sort model incorporating ultrasound to predict the probability of fast disease progression in amyotrophic lateral sclerosis
publisher Elsevier
publishDate 2021
url http://eprints.um.edu.my/28573/
_version_ 1744649127257440256
score 13.211869

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