Document Detail


Assessing heart rate variability from real-world Holter reports.
MedLine Citation:
PMID:  12114845     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Real world clinical Holter reports are often difficult to interpret from a heart rate variability (HRV) perspective. In many cases HRV software is absent. Step-by-step HRV assessment from clinical Holter reports includes: making sure that there is enough usable data, assessing maximum and minimum heart rates, assessing circadian HRV from hourly average heart rates, and assessing HRV from the histogram of R-R intervals and from the plot of R-R intervals or heart rate vs. time. If HRV data are available, time domain HRV is easiest to understand and less sensitive to scanning errors. SDNN (the standard deviation of all N-N intervals in ms) and SDANN (the standard deviation of the 5-min average of N-N intervals in ms) are easily interpreted. SDNN < 70 ms post-MI is a cut point for increased mortality risk. Two times ln SDANN is a good surrogate for ln ultra low frequency power and can be compared with published cut points. SDNNIDX (the average of the standard deviations of N-N intervals for each 5-min in ms) < 30 ms is associated with increased risk in patients with congestive heart failure. RMSSD (the root mean square of successive N-N interval difference in ms) < 17.5 ms has also been associated with increased risk post-myocardial infarction. Frequency domain HRV values are often not comparable to published data. However, graphical power spectral plots can provide additional information about whether the HRV pattern is normal and can also identify some patients with obstructive sleep apnea.
Authors:
Phyllis K Stein
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Publication Detail:
Type:  Journal Article; Review    
Journal Detail:
Title:  Cardiac electrophysiology review     Volume:  6     ISSN:  1385-2264     ISO Abbreviation:  Card Electrophysiol Rev     Publication Date:  2002 Sep 
Date Detail:
Created Date:  2002-07-12     Completed Date:  2003-04-15     Revised Date:  2005-11-16    
Medline Journal Info:
Nlm Unique ID:  9708907     Medline TA:  Card Electrophysiol Rev     Country:  United States    
Other Details:
Languages:  eng     Pagination:  239-44     Citation Subset:  IM    
Affiliation:
Cardiovascular Division, Washington University School of Medicine, St. Louis, Missouri, USA. pstein@im.wustl.edu
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MeSH Terms
Descriptor/Qualifier:
Diagnosis, Computer-Assisted / methods*
Electrocardiography, Ambulatory / instrumentation,  methods*
Heart Rate / physiology*
Humans

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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