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Clinical Autonomic Research

Erschienen in:

26.09.2017 | Review

Electrochemical skin conductance: a systematic review

verfasst von: Peter Novak

Erschienen in: Clinical Autonomic Research | Ausgabe 1/2019

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Abstract

Purpose

Currently available techniques for the evaluation of small fiber neuropathy and related sudomotor function remain suboptimal. Electrochemical skin conductance (ESC) has recently been introduced as a simple noninvasive and fast method for the detection of sudomotor dysfunction. The purpose of this review is to synthesize and appraise research using ESC measurements for sudomotor evaluation in adults.

Methods

Electronic databases including MEDLINE and Google Scholar were searched (up to March 13, 2017). The search strategy included the following terms: "electrochemical skin conductance,” “Sudoscan,” and “EZSCAN.” Evidence was graded according to defined quality indicators including (1) level of evidence; (2) use of established tests as reference tests (e.g., quantitative sudomotor axon test [QSART], sympathetic skin responses [SSR], thermoregulatory sweat test [TST], and skin biopsies to assess sudomotor and epidermal small fibers); (3) use of consecutive/non-consecutive subjects; and (4) study design (prospective/retrospective).

Results

A total of 24 studies met the inclusion criteria. These were classified into preclinical, normative, comparative/diagnostic, or interventional. ESC measurement properties, diagnostic accuracy, and similarities to and differences from established tests were examined.

Conclusions

ESC measurements expand the arsenal of available tests for the evaluation of sudomotor dysfunction. The advantages and disadvantages of ESC versus established tests for evaluating sudomotor/small fiber function reviewed herein should be used as evidence to inform future guidelines on the assessment of sudomotor function.

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Titel: Electrochemical skin conductance: a systematic review
verfasst von: Peter Novak
Publikationsdatum: 26.09.2017
Verlag: Springer Berlin Heidelberg
Erschienen in: Clinical Autonomic Research / Ausgabe 1/2019
Print ISSN: 0959-9851
Elektronische ISSN: 1619-1560
DOI: https://doi.org/10.1007/s10286-017-0467-x

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