Linked Life Data

3416327

Source:http://linkedlifedata.com/resource/pubmed/id/3416327

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
1988-10-19
pubmed:abstractText
We administered 750,000 units of intravenous streptokinase to 121 consecutive patients experiencing their first acute myocardial infarction within 4 h of pain onset. The following information was collected: hours between pain onset and streptokinase administration (TS), hours of pain after streptokinase administration (DP), initial and peak creatine phosphokinase levels (ICK and PCK), time to peak creatine phosphokinase, time to electrocardiographic ST segment resolution. Six days after the infarction, catheterization was performed to calculate ejection fraction, infarct-related regional ejection fraction, and dysfunction index. Data was analyzed using stepwise multiple regression. In patients experiencing anterior infarctions, the following equation was obtained predicting the ejection fraction (EF) with a correlation coefficient of 0.86: EF = 69 - 0.0050(PCK) - 3.7(TS) - 1.8(DP). In anterior infarctions the infarct-related ejection fraction and dysfunction index were similarly predictable. We were slightly less accurate in forecasting the outcome of inferior infarctions. The outcome of intravenous streptokinase therapy can be predicted early in the evolution of acute myocardial infarction using routinely available information.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
0008-6312
pubmed:author
pubmed:issnType
Print
pubmed:volume
75
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
170-6
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
1988
pubmed:articleTitle
Early prediction of left ventricular function in streptokinase-treated acute myocardial infarction.
pubmed:affiliation
Department of Cardiology, Hadassah University Hospital, Jerusalem, Israel.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't