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
|