Document Detail


Standard Deviation of normal interbeat intervals as a risk marker in patients with left ventricular systolic dysfunction: a meta-analysis.
MedLine Citation:
PMID:  19157593     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Our aim was to evaluate the Standard Deviation of Normal-Normal (SDNN) interbeat interval as a risk marker in left ventricular systolic dysfunction (LVSD) patients through a meta-analysis. We searched PubMed for studies that evaluated SDNN as a predictor of all-cause-death, cardiac death, transplantation, and progressive clinical deterioration using a search strategy validated for MEDLINE. Mean values and SD for SDNN in sixteen studies included were 115+/-48 ms in survivors versus 87+/-40 ms in non-survivors, resulting in a statistically significant standardized mean difference (0.594, 95%CI 0.385 to 0.803). In conclusion, SDNN may be a useful prognostic marker in LVSD. Additional studies must evaluate if SDNN may be used to subsidize therapeutic decisions.
Authors:
Marcos R de Sousa; Marco P T Barbosa; Federico Lombardi; Antonio L P Ribeiro
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Publication Detail:
Type:  Letter; Meta-Analysis     Date:  2009-01-20
Journal Detail:
Title:  International journal of cardiology     Volume:  141     ISSN:  1874-1754     ISO Abbreviation:  Int. J. Cardiol.     Publication Date:  2010 Jun 
Date Detail:
Created Date:  2010-05-31     Completed Date:  2010-09-16     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8200291     Medline TA:  Int J Cardiol     Country:  Netherlands    
Other Details:
Languages:  eng     Pagination:  313-6     Citation Subset:  IM    
Copyright Information:
Copyright (c) 2008 Elsevier Ireland Ltd. All rights reserved.
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MeSH Terms
Descriptor/Qualifier:
Data Interpretation, Statistical
Heart Failure / diagnosis,  mortality*,  physiopathology
Heart Rate / physiology*
Humans
Predictive Value of Tests
Prognosis
Risk Factors
Systole / physiology*
Ventricular Dysfunction, Left / diagnosis,  mortality*,  physiopathology

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


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