AI Article Synopsis

  • The study investigates the "split-elbow sign" (SES) in amyotrophic lateral sclerosis (ALS), focusing on its potential as a diagnostic tool by examining the split-elbow index (SEI) derived from various muscle measurements.
  • A cohort of 70 ALS patients, 41 disease controls, and 40 healthy individuals was analyzed, revealing significant differences in SEI values between groups and a decrease in SEI as the disease progresses.
  • Results indicate that SES could serve as an important clinical feature and biomarker for diagnosing ALS and tracking its progression, with a strong diagnostic performance observed in the ROC analysis.

Article Abstract

Purpose: The split-elbow sign (SES), characterized by preferential dysfunction of the biceps brachii compared to the triceps, is a clinical feature observed in amyotrophic lateral sclerosis (ALS). However, the quantified SES index has not been extensively investigated, and its role in diagnosing ALS remains unknown. Therefore, this study aimed to investigate the split-elbow index (SEI) derived from compound muscle action potential (CMAP), motor unit number index (MUNIX), and echo intensity (EI) in ALS.

Methods: A cohort comprising 70 individuals diagnosed with ALS, along with 41 disease controls and 40 healthy controls, was recruited for the study. The SEI was calculated by dividing the recorded values of CMAP, MUNIX, and EI obtained over the biceps brachii by the corresponding value measured in the triceps, resulting in SEI, SEI, and SEI, respectively. Receiver operating characteristic (ROC) curves of the three methods were used for comparison. Statistical analyses were performed using SPSS V.26.0 and R software.

Results: Both SEI and SEI exhibited significant reductions in ALS patients compared to that in controls (P  < 0.0001, P < 0.0001), while SEI showed an elevation ( < 0.0001). Furthermore, there was a notable decrease in SEI values as the disease progressed ( < 0.001). Moreover, ROC for SEI exhibited superior diagnostic performance (AUC = 0.846), and a comprehensive diagnostic approach combining SEI, SEI, and SEI resulted in AUC (0.90) on the ROC curve.

Conclusion: Our study suggested that SES has emerged as a significant clinical characteristic in ALS and indicated the potential of SES indicators as biomarkers for both diagnosis and assessment of disease progression in ALS.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11653355PMC
http://dx.doi.org/10.3389/fneur.2024.1499668DOI Listing

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