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Assessment of autonomic function in patients with rheumatoid arthritis using spectral analysis and approximate entropy method.
MedLine Citation:
PMID:  21857595     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
OBJECTIVE: To assess the effect of rheumatoid arthritis (RA) on autonomic function of a group of RA patients in comparison with a normal control group by measuring the frequency gain response of the 2 groups. Also, to determine whether the duration of RA correlated with measures of heart rate variability signal (HRV) using an approximate entropy index (ApEn).
METHODS: We evaluated 52 patients with RA, and 51 matched healthy subjects at the Arthritis Center, Johns Hopkins Hospital, Maryland, United States during 2004 and 2005. We measured breathing at different rates, and the HRV signal derived from ECG. The auto-power and cross power spectra between HRV signal and breathing signal at different breathing rates was calculated, and the frequency gain response for both groups was obtained. The ApEn, described as a measure of regularity of HRV, was calculated for both patients with RA and the healthy control subjects.
RESULTS: Both frequency gain response and ApEn measure were reduced in patients with RA in comparison with the control group. The power spectra of patients with RA showed a reduced high frequency (HF) value and higher low frequency for control subjects. However, the ApEn measure was significantly reduced in longer RA duration patients.
CONCLUSION: These findings suggest that the spectral analysis of HRV signal using breathing at different frequencies may detect an unbalance of the autonomic system of patients with RA, especially with increasing the sympathetic activity (higher low frequency) and reducing the parasympathetic tone (reduced frequency gain response), which can lead to sudden death in patients with RA. The ApEn may be a marker of RA stage.
Authors:
Ahmed Kamal
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Neurosciences (Riyadh, Saudi Arabia)     Volume:  12     ISSN:  1319-6138     ISO Abbreviation:  Neurosciences (Riyadh)     Publication Date:  2007 Apr 
Date Detail:
Created Date:  2011-08-22     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101252453     Medline TA:  Neurosciences (Riyadh)     Country:  Saudi Arabia    
Other Details:
Languages:  eng     Pagination:  136-9     Citation Subset:  -    
Affiliation:
MIT Department, College of Engineering, Tennessee Tech University, PO Box 5003, Cookeville 38505, Tennessee, United States of America. Tel. +1 931 528 1804. E-mail: akamal@tntech.edu.
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