Linked Life Data

8211928

Source:http://linkedlifedata.com/resource/pubmed/id/8211928

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
1993-11-23
pubmed:abstractText
To obtain a model for the prediction of acute renal failure (ARF) after coronary surgery, 2009 consecutive patients were investigated. ARF was defined as a peak postoperative serum creatinine value exceeding the preoperative value by 50% or more or a need for dialysis. A postoperative increase in serum creatinine of less than 50% was associated with an early mortality (< or = 30 days postop.) of 0.4%. Sixteen per cent of the patients increased their serum creatinine by more than 50% and in this group there was a mortality of 1.3%. Twenty-five patients (1.2%) required postoperative haemodialysis because of ARF and of these 11 (44%) died early, whereas another 7 patients with chronic renal failure, requiring both pre- and postoperative haemodialysis, all survived. Peak postoperative serum creatinine and changes from the preoperative value were analyzed and related to clinical variables. Multivariate analysis indicated that high preoperative serum creatinine, high age and postoperative haemodynamic instability were the most important risk factors for developing renal failure. A logistic model including these risk factors versus the probability of developing ARF is presented.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Aug
pubmed:issn
0171-6425
pubmed:author
pubmed:issnType
Print
pubmed:volume
41
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
237-41
pubmed:dateRevised
2010-11-18
pubmed:meshHeading
pubmed:year
1993
pubmed:articleTitle
Acute renal failure after coronary surgery--a study of incidence and risk factors in 2009 consecutive patients.
pubmed:affiliation
Department of Clinical Physiology, University Hospital, Uppsala, Sweden.
pubmed:publicationType
Journal Article