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Laboratory Evaluation of Peripheral Neuropathy.

David S Saperstein1, Todd D Levine2, Richard J Barohn3

  • 1University of Arizona College of Medicine, Phoenix, AZ, USA; Center for Complex Neurology, EDS & POTS, Phoenix, AZ, USA.

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Summary

This review offers a pattern-based framework for diagnosing peripheral neuropathy, prioritizing cost-effective tests to improve efficiency and patient outcomes. It guides clinicians toward targeted investigations for better diagnosis and treatment.

Keywords:
Autonomic neuropathyLaboratory evaluationMotor neuropathyPeripheral neuropathySensory ataxiaSmall fiber neuropathy

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Area of Science:

  • Neurology
  • Clinical Diagnostics
  • Laboratory Medicine

Background:

  • Peripheral neuropathy diagnosis often involves broad, costly testing strategies.
  • A structured, pattern-based approach can enhance diagnostic efficiency and therapeutic outcomes.
  • Current guidelines may not fully address cost-effectiveness or specific clinical patterns.

Purpose of the Study:

  • To present a practical, pattern-based framework for laboratory evaluation of peripheral neuropathy.
  • To improve diagnostic efficiency and therapeutic outcomes for patients with neuropathy.
  • To guide the selection of high-yield, low-cost investigations.

Main Methods:

  • Comprehensive literature review integrating expert consensus and current evidence.
  • Development of diagnostic algorithms tailored to specific clinical neuropathy patterns.
  • Analysis of test utility and cost-effectiveness for various neuropathy subtypes.

Main Results:

  • Advocacy for a structured testing approach based on clinical patterns over undirected strategies.
  • Emphasis on high-yield, low-cost investigations and de-emphasis on unnecessary antibody panels.
  • Integration of evidence to provide commentary on the utility of specific diagnostic tests.

Conclusions:

  • A pattern-based framework optimizes laboratory evaluation for peripheral neuropathy.
  • Targeted testing reduces patient burden and healthcare costs while prioritizing treatable conditions.
  • This approach enhances diagnostic accuracy and facilitates timely therapeutic interventions.