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DOI 10.1016/j.clinph.2018.04.608

Медицинская библиотека · Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2018

Assessing sudomotor impairment in patients with peripheral neuropathy: Comparison between electrochemical skin conductance and skin biopsy.

Duchesne Mathilde, Richard Laurence, Vallat Jean-Michel, Magy Laurent

Сравнительное исследованиеСтатьяПеревод пока не подготовлен

Аннотация

OBJECTIVE

Sudoscan provides a rapid assessment of sudomotor function based on the measurement of electrochemical skin conductance (ESC), which is thought to be proportional to small nerve fibres innervating the sweat glands. However, the relationship between ESC and small nerve fibre density on skin biopsy remains unclear.

METHODS

In a retrospective single-centre study, we compared ESC measurements with autonomic sweat gland nerve fibre density (SGNFD) and somatic intraepidermal nerve fibre density (IENFD) in patients with polyneuropathy.

RESULTS

63 patients were included (mean age: 60.6 ± 13.3 years). ESC was more strongly correlated with SGNFD (r = 0.49; p = 0.0005) than with IENFD (r = 0.42; p = 0.0005). Foot ESC was lower in patients with abnormal SGNFD (1.0 ± 0.3 µS/kg versus 0.7 ± 0.4 µS/kg; p = 0.0419) or abnormal IENFD (1.1 ± 0.3 µS/kg versus 0.8 ± 0.3 µS/kg; p = 0.0425).

CONCLUSION

ESC measurement is a novel method of potential value for assessing sudomotor function. More studies are required to define its place beside ancient well-established techniques.

SIGNIFICANCE: The weak correlation of ESC with skin biopsy results suggests that mechanisms other than the loss of innervating fibres may be responsible for sweat gland dysfunction in polyneuropathies.

Для цитирования: Duchesne Mathilde, Richard Laurence, Vallat Jean-Michel, Magy Laurent. Assessing sudomotor impairment in patients with peripheral neuropathy: Comparison between electrochemical skin conductance and skin biopsy.. Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology. 2018. DOI: 10.1016/j.clinph.2018.04.608.

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