Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
8
pubmed:dateCreated
2007-7-31
pubmed:abstractText
In the first 3 months after acute ischemic stroke, 2% to 6% of patients die from cardiac causes. This may reflect preexisting cardiac disease, cardiac dysfunction related to the acute neurohumoral and autonomic stress response to stroke, or both. Delineation of a high-risk group could facilitate prevention strategies. We aimed to describe the temporal profile of cardiac risk after stroke and develop a predictive model of serious cardiac adverse events (SCAEs) using baseline variables.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Aug
pubmed:issn
1524-4628
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
38
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
2295-302
pubmed:dateRevised
2007-11-15
pubmed:meshHeading
pubmed-meshheading:17569877-Aged, pubmed-meshheading:17569877-Aged, 80 and over, pubmed-meshheading:17569877-Brain Ischemia, pubmed-meshheading:17569877-Causality, pubmed-meshheading:17569877-Comorbidity, pubmed-meshheading:17569877-Creatinine, pubmed-meshheading:17569877-Death, pubmed-meshheading:17569877-Diabetes Complications, pubmed-meshheading:17569877-Female, pubmed-meshheading:17569877-Heart Diseases, pubmed-meshheading:17569877-Heart Failure, pubmed-meshheading:17569877-Humans, pubmed-meshheading:17569877-Male, pubmed-meshheading:17569877-Predictive Value of Tests, pubmed-meshheading:17569877-Risk Factors, pubmed-meshheading:17569877-Stroke, pubmed-meshheading:17569877-Survival Analysis, pubmed-meshheading:17569877-Time Factors, pubmed-meshheading:17569877-Ventricular Premature Complexes
pubmed:year
2007
pubmed:articleTitle
Predictors of early cardiac morbidity and mortality after ischemic stroke.
pubmed:affiliation
Department of Neurology, Royal Melbourne Hospital, Grattan Street, Parkville, Victoria, Australia.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't, Meta-Analysis