Sudomotor Testing of Diabetes Polyneuropathy

Objective: The performance of the Sudoscan technology for diagnosing diabetic polyneuropathy (DPN) was evaluated against the quantitative sudomotor axon reflex test (QSART). Furthermore, the association of Sudoscan with two clinical neuropathy scoring systems was evaluated.Methods: Forty-seven patie...

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Main Authors: Sarah-Maria Krieger, Manja Reimann, Rocco Haase, Elena Henkel, Markolf Hanefeld, Tjalf Ziemssen
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-09-01
Series:Frontiers in Neurology
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fneur.2018.00803/full
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author Sarah-Maria Krieger
Manja Reimann
Rocco Haase
Elena Henkel
Markolf Hanefeld
Tjalf Ziemssen
author_facet Sarah-Maria Krieger
Manja Reimann
Rocco Haase
Elena Henkel
Markolf Hanefeld
Tjalf Ziemssen
author_sort Sarah-Maria Krieger
collection DOAJ
description Objective: The performance of the Sudoscan technology for diagnosing diabetic polyneuropathy (DPN) was evaluated against the quantitative sudomotor axon reflex test (QSART). Furthermore, the association of Sudoscan with two clinical neuropathy scoring systems was evaluated.Methods: Forty-seven patients with type 2 diabetes (20 without DPN, 27 with DPN) and 16 matched controls were examined for neuropathic symptoms and for the extent of sensory deficits. Sweat latency and volume by QSART and the skin electrochemical conductance (ESC) by Sudoscan were measured.Results: The feet and hand ESC was significantly lower in patients with DPN as compared to controls. Patients with DPN had also lower hand ESC than patients without DPN. Sensitivity and specificity of feet and hand ESC for detecting DPN were 70/85% and 53/50% respectively. QSART could not differentiate between the three groups. ESC was inversely related to neuropathic symptoms and sensory impairment. ESC was significantly correlated with sensory impairment and pain.Conclusions: Sudoscan shows a good performance in detecting subjects with DPN and it correlates well with clinical signs and symptoms of neuropathy.Significance: This study provides evidence that Sudoscan has high potential to be used as screening tool for DPN and possibly also for small fiber neuropathy in diabetic patients.HIGHLIGHTS- The sudomotor function test Sudoscan shows a good performance to detect diabetes peripheral neuropathy.- Sudoscan measures significantly correlate with clinical signs and symptoms of neuropathy.- The Sudoscan technology may help to secure clinical diagnosis of small fiber neuropathy.
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spelling doaj.art-68e1f9e5da0a4fc7b1712e90a84a7bb32022-12-22T00:17:12ZengFrontiers Media S.A.Frontiers in Neurology1664-22952018-09-01910.3389/fneur.2018.00803381778Sudomotor Testing of Diabetes PolyneuropathySarah-Maria Krieger0Manja Reimann1Rocco Haase2Elena Henkel3Markolf Hanefeld4Tjalf Ziemssen5Autonomic and Neuroendocrinological Laboratory Dresden, Center of Clinical Neuroscience, University Hospital Carl Gustav Carus, Dresden, GermanyAutonomic and Neuroendocrinological Laboratory Dresden, Center of Clinical Neuroscience, University Hospital Carl Gustav Carus, Dresden, GermanyAutonomic and Neuroendocrinological Laboratory Dresden, Center of Clinical Neuroscience, University Hospital Carl Gustav Carus, Dresden, GermanyGWT-TUD mbH, Study Center Professor Hanefeld, Dresden, GermanyGWT-TUD mbH, Study Center Professor Hanefeld, Dresden, GermanyAutonomic and Neuroendocrinological Laboratory Dresden, Center of Clinical Neuroscience, University Hospital Carl Gustav Carus, Dresden, GermanyObjective: The performance of the Sudoscan technology for diagnosing diabetic polyneuropathy (DPN) was evaluated against the quantitative sudomotor axon reflex test (QSART). Furthermore, the association of Sudoscan with two clinical neuropathy scoring systems was evaluated.Methods: Forty-seven patients with type 2 diabetes (20 without DPN, 27 with DPN) and 16 matched controls were examined for neuropathic symptoms and for the extent of sensory deficits. Sweat latency and volume by QSART and the skin electrochemical conductance (ESC) by Sudoscan were measured.Results: The feet and hand ESC was significantly lower in patients with DPN as compared to controls. Patients with DPN had also lower hand ESC than patients without DPN. Sensitivity and specificity of feet and hand ESC for detecting DPN were 70/85% and 53/50% respectively. QSART could not differentiate between the three groups. ESC was inversely related to neuropathic symptoms and sensory impairment. ESC was significantly correlated with sensory impairment and pain.Conclusions: Sudoscan shows a good performance in detecting subjects with DPN and it correlates well with clinical signs and symptoms of neuropathy.Significance: This study provides evidence that Sudoscan has high potential to be used as screening tool for DPN and possibly also for small fiber neuropathy in diabetic patients.HIGHLIGHTS- The sudomotor function test Sudoscan shows a good performance to detect diabetes peripheral neuropathy.- Sudoscan measures significantly correlate with clinical signs and symptoms of neuropathy.- The Sudoscan technology may help to secure clinical diagnosis of small fiber neuropathy.https://www.frontiersin.org/article/10.3389/fneur.2018.00803/fulldiabetespolyneuropathyscreening toolsudomotor functionSudoscan
spellingShingle Sarah-Maria Krieger
Manja Reimann
Rocco Haase
Elena Henkel
Markolf Hanefeld
Tjalf Ziemssen
Sudomotor Testing of Diabetes Polyneuropathy
Frontiers in Neurology
diabetes
polyneuropathy
screening tool
sudomotor function
Sudoscan
title Sudomotor Testing of Diabetes Polyneuropathy
title_full Sudomotor Testing of Diabetes Polyneuropathy
title_fullStr Sudomotor Testing of Diabetes Polyneuropathy
title_full_unstemmed Sudomotor Testing of Diabetes Polyneuropathy
title_short Sudomotor Testing of Diabetes Polyneuropathy
title_sort sudomotor testing of diabetes polyneuropathy
topic diabetes
polyneuropathy
screening tool
sudomotor function
Sudoscan
url https://www.frontiersin.org/article/10.3389/fneur.2018.00803/full
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