Fasciculation analysis reveals a novel parameter that correlates with predicted survival in amyotrophic lateral sclerosis
| العنوان: | Fasciculation analysis reveals a novel parameter that correlates with predicted survival in amyotrophic lateral sclerosis |
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| المؤلفون: | Martyn G. Boutelle, Raquel Iniesta, Aidan Wickham, Christopher Shaw, Emmanuel M. Drakakis, James Bashford, Kate Wannop, Kerry R. Mills |
| المساهمون: | Engineering & Physical Science Research Council (EPSRC) |
| المصدر: | Muscle & Nerve. 63:392-396 |
| بيانات النشر: | Wiley, 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | Male, 0301 basic medicine, Physiology, high‐, PROGRESSION, 030105 genetics & heredity, Fasciculation, 0302 clinical medicine, Interquartile range, Medicine, Amyotrophic lateral sclerosis, 11 Medical and Health Sciences, Hazard ratio, Middle Aged, Prognosis, Survival Rate, Arm, Cardiology, biomarker, Female, medicine.symptom, Life Sciences & Biomedicine, high-density surface EMG, medicine.medical_specialty, Clinical Neurology, PROGNOSTIC BIOMARKER, survival, 03 medical and health sciences, Cellular and Molecular Neuroscience, Physiology (medical), Internal medicine, Humans, Muscle, Skeletal, Survival analysis, Aged, Proportional Hazards Models, density surface EMG, Science & Technology, Neurology & Neurosurgery, Electromyography, business.industry, Proportional hazards model, Amyotrophic Lateral Sclerosis, Neurosciences, Univariate, medicine.disease, Confidence interval, Neurosciences & Neurology, Neurology (clinical), ALS, business, 030217 neurology & neurosurgery |
| الوصف: | Introduction Prognostic uncertainty in amyotrophic lateral sclerosis (ALS) confounds clinical management planning, patient counseling, and trial stratification. Fasciculations are an early clinical hallmark of disease and can be quantified noninvasively. Using an innovative analytical method, we correlated novel fasciculation parameters with a predictive survival model. Methods Using high-density surface electromyography, we collected biceps recordings from ALS patients on their first research visit. By accessing an online survival prediction tool, we provided eight clinical and genetic parameters to estimate individual patient survival. Fasciculation analysis was performed using an automated algorithm (Surface Potential Quantification Engine), with a Cox proportional hazards model to calculate hazard ratios. Results The median predicted survival for 31 patients was 41 (interquartile range, 31.5-57) months. Univariate hazard ratios were 1.09 (95% confidence interval [CI], 1.03-1.16) for the rate of change of fasciculation frequency (RoCoFF) and 1.10 (95% CI, 1.01-1.19) for the amplitude dispersion rate. Only the RoCoFF remained significant (P = .04) in a multivariate model. Discussion Noninvasive measurement of fasciculations at a single time-point could enhance prognostic models in ALS, where higher RoCoFF values indicate shorter survival. |
| تدمد: | 1097-4598 0148-639X |
| DOI: | 10.1002/mus.27139 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b1bb5bad46967fa49c697ab061f223d https://doi.org/10.1002/mus.27139 |
| Rights: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....5b1bb5bad46967fa49c697ab061f223d |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 10974598 0148639X |
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| DOI: | 10.1002/mus.27139 |