4.4 Article

Fasciculation differences between ALS and non-ALS patients: an ultrasound study

Journal

BMC NEUROLOGY
Volume 21, Issue 1, Pages -

Publisher

BMC
DOI: 10.1186/s12883-021-02473-5

Keywords

Amyotrophic lateral sclerosis; Fasciculation; Ultrasonography; Peripheral neuropathy; Diagnosis

Funding

  1. Beijing Natural Science Foundation [7202158]
  2. 13th Five-Year National Science and Technology Major Project for New Drugs [2019ZX09734001]

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The fasciculation grade and distribution pattern detected with MUS can help distinguish ALS patients from those with symptoms resembling ALS. Fasciculation intensity was higher in ALS patients compared to non-ALS patients, and the distribution pattern was also different between the two groups.
Background Fasciculation is an important sign for the diagnosis of amyotrophic lateral sclerosis (ALS). Our study aimed to analyze the difference in fasciculation detected with muscle ultrasonography (MUS) between ALS patients and non-ALS patients with symptoms resembling ALS. Methods Eighty-eight ALS patients and fifty-four non-ALS (eight multifocal motor neuropathy, 32 chronic inflammatory demyelinating polyneuropathy/Charcot-Marie-Tooth, and 14 cervical spondylopathy or lumbar spondylopathy) patients were recruited. MUS was performed on 19 muscle groups in cervical, lumbosacral, bulbar, and thoracic regions for each patient. The intensity of fasciculation was divided into five grades based on firing frequency and number in the involved muscle groups. Results The overall detection rates were 72.8% in ALS and 18% in non-ALS patients. The fasciculation grades (median [IQR]) were 2 (0-3) in ALS and 0 (0-0) in non-ALS patients (P < 0.001). Fasciculations were observed in four regions for ALS patients and primarily distributed in proximal limbs. Fasciculations in non-ALS patients were primarily low-grade and mostly distributed in distal limbs. Discussion The fasciculation grade was higher in ALS than non-ALS patients. The distribution pattern of fasciculation was different between ALS and non-ALS patients. Conclusions The fasciculation grade and distribution pattern detected with MUS could help distinguish ALS from non-ALS patients.

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