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E-norms: a method to extrapolate reference values from a laboratory population.

Joe F Jabre1, Matthew C Pitt, Jacquie Deeb

  • 1*Department of Neurology, Boston University School of Medicine, Boston, Massachusetts, U.S.A.; †Department of Clinical Neurophysiology, Great Ormond Street Hospital for children NHS Foundation Trust, London, United Kingdom; ‡Department of Neurophysiology, Queen's Hospital, Barking, Havering and Redbridge University Hospitals NHS Trust, London, United Kingdom; and §Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, Massachusetts, U.S.A.

Journal of Clinical Neurophysiology : Official Publication of the American Electroencephalographic Society
|January 13, 2015
PubMed
Summary
This summary is machine-generated.

Extrapolated norms (e-norms) successfully derive reference values for Stimulated Single Fiber EMG jitter in pediatric populations. This method provides reliable data when direct collection is challenging, aiding in diagnosing neuromuscular disorders.

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Area of Science:

  • Neurology
  • Clinical Electrophysiology

Background:

  • Collecting reference values for pediatric subpopulations in epidemiologic studies is challenging.
  • Single Fiber EMG (Electromyography) is the gold standard for diagnosing neuromuscular transmission disorders.

Purpose of the Study:

  • To evaluate the extrapolated norms (e-norms) method for deriving Stimulated Single Fiber EMG jitter reference values.
  • To establish reference values in pediatric and adult cohorts using e-norms.

Main Methods:

  • Utilized data from the plateau region of an inverted S-curve derived from sorted jitter data.
  • Calculated descriptive statistics for pediatric and adult e-norms jitter.

Main Results:

  • The e-norms derived jitter was 22 ± 2.83 μs for the pediatric cohort and 21 ± 2.79 μs for the adult cohort.
  • Adult e-norms values closely matched previously published reference ranges for healthy adults.

Conclusions:

  • The e-norms method is effective for obtaining reference ranges in difficult-to-study subpopulations, particularly pediatrics.
  • This approach aids in establishing crucial reference values for pediatric neuromuscular assessments.