Linked Life Data

9585372

Source:http://linkedlifedata.com/resource/pubmed/id/9585372

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
5
pubmed:dateCreated
1998-5-21
pubmed:abstractText
Perioperative cardiac events are the largest cause of morbidity and mortality for patients undergoing elective surgery. As a result, numerous recent studies have focused on attempts to identify patients at increased risk for perioperative events. These have delineated testing modalities capable of identifying high-risk patients, and clinical markers which further stratify patients facing elective surgery into high-, medium-, and low-risk subgroups. In this article, the authors review the evidence supporting the use of clinical markers of risk to evaluate patients before elective surgery. The role of preoperative clinical assessment in identifying patients most likely to benefit from further testing or intervention, (ie, those at significant risk for short- and long-term cardiac events) is stressed. Assessment and intervention for risk factors of long-term cardiac disease is also stressed, as the preoperative evaluation represents an opportunity for improvement in the short- and long-term cardiac risk profile. Finally, the algorithm for preoperative cardiovascular evaluation published jointly by the ACC/AHA joint taskforce on practice guidelines is reviewed. This algorithm is a synthesis of the current literature, into a cost effective and efficient approach to patient evaluation.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
AIM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
0033-0620
pubmed:author
pubmed:issnType
Print
pubmed:volume
40
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
373-81
pubmed:dateRevised
2007-11-15
pubmed:meshHeading
pubmed:articleTitle
Clinical determinants in perioperative cardiac evaluation.
pubmed:affiliation
Department of Internal Medicine, University of Michigan Hospital, Ann Arbor 48109-0273, USA.
pubmed:publicationType
Journal Article, Review