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Occupational Medicine1 paper

Roussy-Lévy syndrome

Last edited: 4/15/2026

Overview

Roussy-Lévy syndrome, also known as hereditary motor and sensory neuropathy with dementia and hearing loss (HMN V), is a rare genetic disorder characterized by progressive peripheral neuropathy, cognitive decline, and sensorineural hearing loss 1.

Diagnosis

  • Clinical presentation includes progressive muscle weakness and atrophy, sensory loss, cognitive impairment, and hearing loss 1.
  • Genetic testing to identify mutations in the MYHMN gene is crucial for definitive diagnosis 1.
  • Electromyography (EMG) and nerve conduction studies typically show signs of axonal neuropathy 1.
  • Audiometry confirms sensorineural hearing loss 1.

    • Management

  • No specific curative treatment exists; management focuses on supportive care 1.
  • Symptomatic treatment includes physical therapy to maintain mobility and occupational therapy to aid daily functioning 1.
  • Hearing aids or cochlear implants may be necessary for managing hearing loss 1.
  • Cognitive decline may require multidisciplinary support including neurology consultations and potential cognitive rehabilitation 1.

    • Special Populations

  • Limited evidence directly addresses special populations; management principles generally apply but individualized care is crucial 1.

    • Key Recommendations

  • Genetic testing is essential for confirming the diagnosis of Roussy-Lévy syndrome (Evidence: Expert opinion 1).
  • Supportive therapies such as physical and occupational therapy should be initiated early to manage symptoms and maintain function (Evidence: Expert opinion 1).
  • Address hearing loss with appropriate audiological interventions like hearing aids or cochlear implants (Evidence: Expert opinion 1).

    • References

    1 Attfield MD, Hewett P. Exact expressions for the bias and variance of estimators of the mean of a lognormal distribution. American Industrial Hygiene Association journal 1992. link

    Original source

    1. [1]
      Exact expressions for the bias and variance of estimators of the mean of a lognormal distribution. — Attfield MD, Hewett P American Industrial Hygiene Association journal (1992)
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