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Detection of sudomotor alterations evaluated by Sudoscan in patients with recently diagnosed type 2 diabetes
INTRODUCTION: Diabetic peripheral neuropathy (DPN) causes morbidity and affects the quality of life. Before diabetes diagnosis, neuropathic damage may be present. Sudoscan provides accurate measurement of the sudomotor function. This study aimed to assess the abnormalities detected by Sudoscan, offe...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9756300/ https://www.ncbi.nlm.nih.gov/pubmed/36521878 http://dx.doi.org/10.1136/bmjdrc-2022-003005 |
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author | García-Ulloa, Ana Cristina Almeda-Valdes, Paloma Cuatecontzi-Xochitiotzi, Teresa Enedina Ramírez-García, Jorge Alberto Díaz-Pineda, Michelle Garnica-Carrillo, Fernanda González-Duarte, Alejandra Narayan, K M Venkat Aguilar-Salinas, Carlos Alberto Hernández-Jiménez, Sergio |
author_facet | García-Ulloa, Ana Cristina Almeda-Valdes, Paloma Cuatecontzi-Xochitiotzi, Teresa Enedina Ramírez-García, Jorge Alberto Díaz-Pineda, Michelle Garnica-Carrillo, Fernanda González-Duarte, Alejandra Narayan, K M Venkat Aguilar-Salinas, Carlos Alberto Hernández-Jiménez, Sergio |
author_sort | García-Ulloa, Ana Cristina |
collection | PubMed |
description | INTRODUCTION: Diabetic peripheral neuropathy (DPN) causes morbidity and affects the quality of life. Before diabetes diagnosis, neuropathic damage may be present. Sudoscan provides accurate measurement of the sudomotor function. This study aimed to assess the abnormalities detected by Sudoscan, offered estimates of DPN prevalence, and investigated the relationship between metabolic and clinical parameters. Additionally, we evaluated the diagnostic accuracy of the Sudoscan compared with monofilament and tuning fork tests for detecting DPN. RESEARCH DESIGN AND METHODS: Cross-sectional descriptive study including patients with type 2 diabetes for <5 years since diagnosis. We investigated the presence of DPN using a 128 Hz tuning fork test, the 10 g monofilament, and the sudomotor dysfunction in feet using Sudoscan. We compared patients with and without alterations in the Sudoscan. A logistic regression model analyzed variables independently associated with sudomotor dysfunction. RESULTS: From 2013 to 2020, 2243 patients were included, 55.1% women, age 51.8 years, and 17.1% with normal weight. Monofilament tests and/or tuning fork examination were abnormal in 29% (95% CI 0.23% to 0.27%) and 619 patients (27.6%, 0.25% to 0.29%) had sudomotor alterations. In logistic regression analysis, age ( [Formula: see text] =1.01, 0.005–1.02), diastolic blood pressure ( [Formula: see text] =0.98, 0.96–0.99), heart rate ( [Formula: see text] =1.01, 1.00–1.02), glucose ( [Formula: see text] =1.00, 1.00–1.03), albuminuria ( [Formula: see text] =1.001, 1.000–1.001), beta-blockers=1.98, 1.21–3.24) and fibrate use=0.61, 0.43–0.87) were associated with sudomotor dysfunction. The AUC (area under the curve) for Sudoscan was 0.495 (0.469–0.522), with sensitivity and specificity of 24% and 71%, respectively. CONCLUSION: The Sudoscan identified an important proportion of patients with dysfunction, allowing prompt intervention to decrease the risk for complications. TRIAL REGISTRATION NUMBER: NCT02836808. |
format | Online Article Text |
id | pubmed-9756300 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-97563002022-12-17 Detection of sudomotor alterations evaluated by Sudoscan in patients with recently diagnosed type 2 diabetes García-Ulloa, Ana Cristina Almeda-Valdes, Paloma Cuatecontzi-Xochitiotzi, Teresa Enedina Ramírez-García, Jorge Alberto Díaz-Pineda, Michelle Garnica-Carrillo, Fernanda González-Duarte, Alejandra Narayan, K M Venkat Aguilar-Salinas, Carlos Alberto Hernández-Jiménez, Sergio BMJ Open Diabetes Res Care Pathophysiology/Complications INTRODUCTION: Diabetic peripheral neuropathy (DPN) causes morbidity and affects the quality of life. Before diabetes diagnosis, neuropathic damage may be present. Sudoscan provides accurate measurement of the sudomotor function. This study aimed to assess the abnormalities detected by Sudoscan, offered estimates of DPN prevalence, and investigated the relationship between metabolic and clinical parameters. Additionally, we evaluated the diagnostic accuracy of the Sudoscan compared with monofilament and tuning fork tests for detecting DPN. RESEARCH DESIGN AND METHODS: Cross-sectional descriptive study including patients with type 2 diabetes for <5 years since diagnosis. We investigated the presence of DPN using a 128 Hz tuning fork test, the 10 g monofilament, and the sudomotor dysfunction in feet using Sudoscan. We compared patients with and without alterations in the Sudoscan. A logistic regression model analyzed variables independently associated with sudomotor dysfunction. RESULTS: From 2013 to 2020, 2243 patients were included, 55.1% women, age 51.8 years, and 17.1% with normal weight. Monofilament tests and/or tuning fork examination were abnormal in 29% (95% CI 0.23% to 0.27%) and 619 patients (27.6%, 0.25% to 0.29%) had sudomotor alterations. In logistic regression analysis, age ( [Formula: see text] =1.01, 0.005–1.02), diastolic blood pressure ( [Formula: see text] =0.98, 0.96–0.99), heart rate ( [Formula: see text] =1.01, 1.00–1.02), glucose ( [Formula: see text] =1.00, 1.00–1.03), albuminuria ( [Formula: see text] =1.001, 1.000–1.001), beta-blockers=1.98, 1.21–3.24) and fibrate use=0.61, 0.43–0.87) were associated with sudomotor dysfunction. The AUC (area under the curve) for Sudoscan was 0.495 (0.469–0.522), with sensitivity and specificity of 24% and 71%, respectively. CONCLUSION: The Sudoscan identified an important proportion of patients with dysfunction, allowing prompt intervention to decrease the risk for complications. TRIAL REGISTRATION NUMBER: NCT02836808. BMJ Publishing Group 2022-12-15 /pmc/articles/PMC9756300/ /pubmed/36521878 http://dx.doi.org/10.1136/bmjdrc-2022-003005 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Pathophysiology/Complications García-Ulloa, Ana Cristina Almeda-Valdes, Paloma Cuatecontzi-Xochitiotzi, Teresa Enedina Ramírez-García, Jorge Alberto Díaz-Pineda, Michelle Garnica-Carrillo, Fernanda González-Duarte, Alejandra Narayan, K M Venkat Aguilar-Salinas, Carlos Alberto Hernández-Jiménez, Sergio Detection of sudomotor alterations evaluated by Sudoscan in patients with recently diagnosed type 2 diabetes |
title | Detection of sudomotor alterations evaluated by Sudoscan in patients with recently diagnosed type 2 diabetes |
title_full | Detection of sudomotor alterations evaluated by Sudoscan in patients with recently diagnosed type 2 diabetes |
title_fullStr | Detection of sudomotor alterations evaluated by Sudoscan in patients with recently diagnosed type 2 diabetes |
title_full_unstemmed | Detection of sudomotor alterations evaluated by Sudoscan in patients with recently diagnosed type 2 diabetes |
title_short | Detection of sudomotor alterations evaluated by Sudoscan in patients with recently diagnosed type 2 diabetes |
title_sort | detection of sudomotor alterations evaluated by sudoscan in patients with recently diagnosed type 2 diabetes |
topic | Pathophysiology/Complications |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9756300/ https://www.ncbi.nlm.nih.gov/pubmed/36521878 http://dx.doi.org/10.1136/bmjdrc-2022-003005 |
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