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Median and ulnar nerve conduction studies among workers: normative values

D F Salerno1, A Franzblau, R A Werner

  • 1Department of Environmental and Industrial Health, School of Public Health, The University of Michigan, Ann Arbor 48109-2029, USA.

Muscle & Nerve
|July 9, 1998
PubMed
Summary

Establishing normative nerve conduction study values in workers requires accounting for age, sex, and anthropometrics. Adjusting for these factors improves diagnostic accuracy in electrodiagnostic testing.

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Area of Science:

  • Occupational Health
  • Neurophysiology
  • Biostatistics

Background:

  • Nerve conduction studies (NCS) are crucial for diagnosing peripheral nerve disorders.
  • Establishing normative data for NCS in specific populations, like workers, is essential for accurate diagnosis.
  • Previous studies often used convenience samples, potentially limiting generalizability.

Purpose of the Study:

  • To determine normative values for nerve conduction studies (NCS) in an active worker population.
  • To identify key covariates influencing NCS parameters in healthy workers.
  • To provide evidence for adjusting NCS interpretation based on individual characteristics.

Main Methods:

  • A subset of 326 healthy workers was selected from a larger cohort (955 subjects).

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  • Bilateral median and ulnar sensory nerve conduction measures (amplitude, latency) were recorded.
  • Exclusion criteria included upper extremity symptoms, relevant medical conditions, low hand temperature, and highly repetitive jobs.

    • Main Results:

    • Linear regression models explained 21-51% of the variance in nerve function.
    • Age, sex, hand temperature, and anthropometric factors were significant covariates.
    • The median-ulnar nerve difference showed the least sensitivity to covariate adjustment.
    • Variance in nerve function measures increased with age and anthropometric factors.

    Conclusions:

    • Normative NCS values in workers are influenced by age, sex, hand temperature, and anthropometrics.
    • Electrodiagnostic testing accuracy is improved by controlling for these relevant covariates.
    • The median-ulnar difference is a robust NCS measure, especially when covariate adjustment is not feasible.