Literature DB >> 33620270

Progressive arm muscle weakness in ALS follows the same sequence regardless of onset site: use of TOMS, a novel analytic method to track limb strength.

Nimish J Thakore1, Brian J Drawert2, Brittany R Lapin3, Erik P Pioro1,4.   

Abstract

Objective: Examine sequence of weakness in arm muscles from longitudinal hand-held dynamometry (HHD) data in ALS for congruence with contiguous spread of neurodegeneration along spinal cord segments.
Methods: Longitudinal HHD data from the Ceftriaxone clinical trial were examined using nonlinear mixed models, assuming a logistic trajectory from normal to zero strength. Unobserved baseline normal strength of weak muscles was assumed using strength of the best-preserved muscle. A novel metric called "time from onset to midway strength" (TOMS) was estimated for each muscle group, and TOMS ratios were examined to identify sequence of weakness, overall and by onset site.
Results: Shoulder flexion (SF), elbow flexion (EF), elbow extension (EE), wrist extension (WE), and first dorsal interosseous (FDI) were measured on each side. Over a median of 36 weeks, 513 subjects provided 2589 sets of HHD measures. TOMS increased sequentially in the following order: FDI, WE, SF, EF, and EE. TOMS ratios estimates with 95% CIs (adjusted for multiple comparisons) were: WE/FDI 1.32 (1.24-1.41), SF/WE 1.06 (1.01-1.10), EF/SF 1.06 (1.02-1.10), and EE/EF 1.18 (1.12-1.23). Elbow and shoulder flexors weakened sooner than did elbow extensors. The sequence of arm muscle weakness progression was similar regardless of onset site.
Conclusion: Nonsegmental progression of arm muscle weakness that is similar for different onset sites favors cortical influence/network spread over contiguous spread of neurodegeneration in the spinal cord. Furthermore, this study confirms the "split elbow" pattern. TOMS and other proposed methods may have value as outcome measures in clinical research.

Entities:  

Keywords:  Muscle strength; dissociated muscle atrophy; hand-held dynamometry; non-linear mixed models

Mesh:

Year:  2021        PMID: 33620270      PMCID: PMC8292176          DOI: 10.1080/21678421.2021.1889000

Source DB:  PubMed          Journal:  Amyotroph Lateral Scler Frontotemporal Degener        ISSN: 2167-8421            Impact factor:   3.528


  21 in total

1.  Measuring knee extensor muscle strength.

Authors:  R W Bohannon
Journal:  Am J Phys Med Rehabil       Date:  2001-01       Impact factor: 2.159

2.  Concordance between site of onset and limb dominance in amyotrophic lateral sclerosis.

Authors:  M R Turner; P Wicks; C A Brownstein; M P Massagli; M Toronjo; K Talbot; A Al-Chalabi
Journal:  J Neurol Neurosurg Psychiatry       Date:  2010-06-18       Impact factor: 10.154

Review 3.  Cortical influences drive amyotrophic lateral sclerosis.

Authors:  Andrew Eisen; Heiko Braak; Kelly Del Tredici; Roger Lemon; Albert C Ludolph; Matthew C Kiernan
Journal:  J Neurol Neurosurg Psychiatry       Date:  2017-07-14       Impact factor: 10.154

Review 4.  ALS motor phenotype heterogeneity, focality, and spread: deconstructing motor neuron degeneration.

Authors:  John M Ravits; Albert R La Spada
Journal:  Neurology       Date:  2009-09-08       Impact factor: 9.910

5.  Dissociated lower limb muscle involvement in amyotrophic lateral sclerosis.

Authors:  Neil G Simon; Michael Lee; Jong Seok Bae; Eneida Mioshi; Cindy S-Y Lin; Casey M Pfluger; Robert D Henderson; Steve Vucic; Michael Swash; David Burke; Matthew C Kiernan
Journal:  J Neurol       Date:  2015-04-07       Impact factor: 4.849

6.  The relationship between limb dominance, disease lateralization and spread of weakness in amyotrophic lateral sclerosis (ALS).

Authors:  Matthew S Devine; Helen Woodhouse; Pam A McCombe; Robert D Henderson
Journal:  Amyotroph Lateral Scler Frontotemporal Degener       Date:  2012-09-17       Impact factor: 4.092

7.  Motor unit number estimation, isometric strength, and electromyographic measures in amyotrophic lateral sclerosis.

Authors:  M B Bromberg; D A Forshew; K L Nau; J Bromberg; Z Simmons; T J Fries
Journal:  Muscle Nerve       Date:  1993-11       Impact factor: 3.217

8.  A quantitative electrophysiological study of motor neurone disease.

Authors:  S Hansen; J P Ballantyne
Journal:  J Neurol Neurosurg Psychiatry       Date:  1978-09       Impact factor: 10.154

9.  Patients with ALS show highly correlated progression rates in left and right limb muscles.

Authors:  David J Rushton; Patricia L Andres; Peggy Allred; Robert H Baloh; Clive N Svendsen
Journal:  Neurology       Date:  2017-06-09       Impact factor: 9.910

Review 10.  Considerations and Practical Options for Measuring Muscle Strength: A Narrative Review.

Authors:  Richard W Bohannon
Journal:  Biomed Res Int       Date:  2019-01-17       Impact factor: 3.411

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  1 in total

Review 1.  The strength of corticomotoneuronal drive underlies ALS split phenotypes and reflects early upper motor neuron dysfunction.

Authors:  Andrew Eisen; Peter Bede
Journal:  Brain Behav       Date:  2021-10-28       Impact factor: 2.708

  1 in total

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