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Published on: April 29, 2013
Diagnostic Criteria for Small Fiber Neuropathy
Derrick Blackmore1, Zaeem A Siddiqi
1Department of Neurology, University of Alberta Hospital, Edmonton, AB, Canada. The authors report no conflicts of interest.
Diagnosing small fiber neuropathy (SFN) is challenging. Combining clinical exams with quantitative sudomotor axon reflex (QSART) and quantitative sensory testing (QST) improves diagnostic accuracy for SFN.
Area of Science:
- Neurology
- Clinical Diagnostics
Background:
- Small fiber neuropathy (SFN) diagnosis is often difficult despite its prevalence.
- Current diagnostic practices rely on specific sensory deficits, like impaired pinprick perception with preserved vibration, in patients with limb symptoms.
Purpose of the Study:
- To evaluate the sensitivity and specificity of clinical examination and diagnostic tools for SFN screening.
- To assess the effectiveness of various testing modalities in diagnosing SFN.
Main Methods:
- Retrospective review of 56 SFN patient medical records.
- Diagnosis was based on symptoms, neurological examination including pinprick perception (PP), and abnormal results from quantitative sudomotor axon reflex (QSART) testing, quantitative sensory testing (QST), or heart rate variability (HRV) testing.
Main Results:
- Pinprick perception (PP) sensitivity was approximately 63% in symptomatic patients.
- Combining QSART and QST diagnosed 88% of patients.
- Quantitative sensory testing (QST), particularly heat-pain testing, showed higher sensitivity for SFN detection than cooling or HRV.
Conclusions:
- Integrating clinical findings with diagnostic tests enhances the diagnostic yield for SFN.
- Proposed criteria for SFN diagnosis include: Definite (abnormal exam, QSART, and QST), Probable (abnormal exam and either QSART or QST), and Possible (abnormal exam or QSART or QST).
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