Cargando…
Quantitative Autonomic Testing
Disorders associated with dysfunction of autonomic nervous system are quite common yet frequently unrecognized. Quantitative autonomic testing can be invaluable tool for evaluation of these disorders, both in clinic and research. There are number of autonomic tests, however, only few were validated...
Autor principal: | |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MyJove Corporation
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3196175/ https://www.ncbi.nlm.nih.gov/pubmed/21788940 http://dx.doi.org/10.3791/2502 |
_version_ | 1782214191859367936 |
---|---|
author | Novak, Peter |
author_facet | Novak, Peter |
author_sort | Novak, Peter |
collection | PubMed |
description | Disorders associated with dysfunction of autonomic nervous system are quite common yet frequently unrecognized. Quantitative autonomic testing can be invaluable tool for evaluation of these disorders, both in clinic and research. There are number of autonomic tests, however, only few were validated clinically or are quantitative. Here, fully quantitative and clinically validated protocol for testing of autonomic functions is presented. As a bare minimum the clinical autonomic laboratory should have a tilt table, ECG monitor, continuous noninvasive blood pressure monitor, respiratory monitor and a mean for evaluation of sudomotor domain. The software for recording and evaluation of autonomic tests is critical for correct evaluation of data. The presented protocol evaluates 3 major autonomic domains: cardiovagal, adrenergic and sudomotor. The tests include deep breathing, Valsalva maneuver, head-up tilt, and quantitative sudomotor axon test (QSART). The severity and distribution of dysautonomia is quantitated using Composite Autonomic Severity Scores (CASS). Detailed protocol is provided highlighting essential aspects of testing with emphasis on proper data acquisition, obtaining the relevant parameters and unbiased evaluation of autonomic signals. The normative data and CASS algorithm for interpretation of results are provided as well. |
format | Online Article Text |
id | pubmed-3196175 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | MyJove Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-31961752011-10-24 Quantitative Autonomic Testing Novak, Peter J Vis Exp Medicine Disorders associated with dysfunction of autonomic nervous system are quite common yet frequently unrecognized. Quantitative autonomic testing can be invaluable tool for evaluation of these disorders, both in clinic and research. There are number of autonomic tests, however, only few were validated clinically or are quantitative. Here, fully quantitative and clinically validated protocol for testing of autonomic functions is presented. As a bare minimum the clinical autonomic laboratory should have a tilt table, ECG monitor, continuous noninvasive blood pressure monitor, respiratory monitor and a mean for evaluation of sudomotor domain. The software for recording and evaluation of autonomic tests is critical for correct evaluation of data. The presented protocol evaluates 3 major autonomic domains: cardiovagal, adrenergic and sudomotor. The tests include deep breathing, Valsalva maneuver, head-up tilt, and quantitative sudomotor axon test (QSART). The severity and distribution of dysautonomia is quantitated using Composite Autonomic Severity Scores (CASS). Detailed protocol is provided highlighting essential aspects of testing with emphasis on proper data acquisition, obtaining the relevant parameters and unbiased evaluation of autonomic signals. The normative data and CASS algorithm for interpretation of results are provided as well. MyJove Corporation 2011-07-19 /pmc/articles/PMC3196175/ /pubmed/21788940 http://dx.doi.org/10.3791/2502 Text en Copyright © 2011, Journal of Visualized Experiments http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. To view a copy of this license, visithttp://creativecommons.org/licenses/by-nc-nd/3.0/ |
spellingShingle | Medicine Novak, Peter Quantitative Autonomic Testing |
title | Quantitative Autonomic Testing |
title_full | Quantitative Autonomic Testing |
title_fullStr | Quantitative Autonomic Testing |
title_full_unstemmed | Quantitative Autonomic Testing |
title_short | Quantitative Autonomic Testing |
title_sort | quantitative autonomic testing |
topic | Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3196175/ https://www.ncbi.nlm.nih.gov/pubmed/21788940 http://dx.doi.org/10.3791/2502 |
work_keys_str_mv | AT novakpeter quantitativeautonomictesting |