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rdf:type |
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lifeskim:mentions |
umls-concept:C0004388,
umls-concept:C0018787,
umls-concept:C0035647,
umls-concept:C0264716,
umls-concept:C0277785,
umls-concept:C0681300,
umls-concept:C0871261,
umls-concept:C1527178,
umls-concept:C1704632,
umls-concept:C1705938,
umls-concept:C1706817,
umls-concept:C2698872,
umls-concept:C2911692
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pubmed:issue |
2
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pubmed:dateCreated |
2008-1-31
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pubmed:abstractText |
Chronic heart failure (CHF) is associated with a complex dysfunction of cardiac, cardiovascular, autonomic, and other mechanisms. Autonomic information flow (AIF) characteristics calculated from heart rate patterns were recently found as promising predictors of outcome in several cardiovascular diseases.
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pubmed:language |
eng
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pubmed:journal |
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pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:month |
Feb
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pubmed:issn |
1540-8159
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pubmed:author |
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pubmed:issnType |
Electronic
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pubmed:volume |
31
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
214-20
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pubmed:dateRevised |
2008-7-8
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pubmed:meshHeading |
pubmed-meshheading:18233975-Area Under Curve,
pubmed-meshheading:18233975-Autonomic Nervous System,
pubmed-meshheading:18233975-Chronic Disease,
pubmed-meshheading:18233975-Electrocardiography, Ambulatory,
pubmed-meshheading:18233975-Female,
pubmed-meshheading:18233975-Heart Failure,
pubmed-meshheading:18233975-Heart Rate,
pubmed-meshheading:18233975-Humans,
pubmed-meshheading:18233975-Male,
pubmed-meshheading:18233975-Middle Aged,
pubmed-meshheading:18233975-Oxygen Consumption,
pubmed-meshheading:18233975-Predictive Value of Tests,
pubmed-meshheading:18233975-Prognosis,
pubmed-meshheading:18233975-Proportional Hazards Models,
pubmed-meshheading:18233975-Risk Factors,
pubmed-meshheading:18233975-Statistics, Nonparametric,
pubmed-meshheading:18233975-Stroke Volume,
pubmed-meshheading:18233975-Systole
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pubmed:year |
2008
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pubmed:articleTitle |
Autonomic response to cardiac dysfunction in chronic heart failure: a risk predictor based on autonomic information flow.
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pubmed:affiliation |
Biomagnetic Center, Department of Neurology, Friedrich Schiller University, Jena, Germany. dirk.hoyer@biomag.uni-jena.de
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pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't
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