期刊
MUSCLE & NERVE
卷 63, 期 3, 页码 392-396出版社
WILEY
DOI: 10.1002/mus.27139
关键词
amyotrophic lateral sclerosis; biomarker; fasciculation; high‐ density surface EMG; survival
资金
- Engineering and Physical Sciences Research Council's Centre for Doctoral Training in Neurotechnology for Life and Health
- Medical Research Council/Motor Neurone Disease Association [MR/P000983/1]
- Sattaripour Charitable Foundation
- Motor Neurone Disease Association [Shaw/Jul15/932-794]
- EPSRC [EP/J021199/1] Funding Source: UKRI
- MRC [MR/P000983/1] Funding Source: UKRI
This study correlated novel fasciculation parameters with a predictive survival model in ALS patients using an innovative analytical method. Higher RoCoFF values were associated with shorter predicted survival, potentially enhancing prognostic models for ALS.
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.
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