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.
Full text not available from this repository.Abstract
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.
| Item Type: | Article |
|---|---|
| Funders: | Malaysian Ministry of Education Fundamental Research Grant Scheme [FRGS/1/2018/SK K08/UM/01/1], ALS Association [IF008-2019], Sydney Southeast Asia Center [IF012-2019] |
| Uncontrolled Keywords: | Amyotrophic lateral sclerosis; Ultrasound; Fasciculation; Nerve cross sectional area; Model |
| Subjects: | R Medicine > R Medicine (General) |
| Divisions: | Faculty of Medicine |
| Depositing User: | Ms Zaharah Ramly |
| Date Deposited: | 16 Aug 2022 06:48 |
| Last Modified: | 16 Aug 2022 06:48 |
| URI: | http://eprints.um.edu.my/id/eprint/28573 |
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