Linked Life Data

20647561

Source:http://linkedlifedata.com/resource/pubmed/id/20647561

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2010-8-18
pubmed:databankReference
pubmed:abstractText
Presently, no effective risk model exists to predict long-term mortality or other major adverse cardiovascular and cerebrovascular events (MACCE) in those patients undergoing percutaneous coronary intervention (PCI). This study aimed to assess whether the Clinical SYNTAX Score (CSS) calculated by multiplying the SYNTAX Score to a modified ACEF score (age/ejection fraction +1 for each 10 mL the creatinine clearance <60 mL/min per 1.73 m(2)) would improve the ability of either score to predict mortality and MACCE.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Aug
pubmed:issn
1941-7632
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
3
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
317-26
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
A new tool for the risk stratification of patients with complex coronary artery disease: the Clinical SYNTAX Score.
pubmed:affiliation
Department of Interventional Cardiology, Erasmus MC, Rotterdam, The Netherlands.
pubmed:publicationType
Journal Article, Clinical Trial, Comparative Study, Multicenter Study