Linked Life Data

11481609

Source:http://linkedlifedata.com/resource/pubmed/id/11481609

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2001-8-1
pubmed:abstractText
The short-term prognosis of acutely ill patients with cirrhosis is influenced by the degree of hepatic insufficiency and by dysfunction of extrahepatic organ systems. The purpose of this study was to assess and compare the prognostic accuracy of the Child-Pugh classification, the Acute Physiology and Chronic Health Evaluation (APACHE) II system and the Sequential Organ Failure Assessment (SOFA) for predicting hospital mortality in patients with cirrhosis when used 24 hours after admission to a medical intensive care unit (ICU). Prospective data were recorded on 143 patients. Cumulative mortality rates were 36% in the ICU, 46% in the hospital, and 56% at 6-month follow-up. By using the area under receiver operating characteristic (AUROC) curves, the SOFA showed an excellent discriminative power (AUROC 0.94), which was clearly superior to the APACHE II (AUROC 0.79) and the Child-Pugh system (AUROC 0.74). Hospital mortality rates below and above a cutoff of 8 SOFA points were 4% and 88%, respectively (P <.0005). The SOFA score also reflected resource use during the ICU treatment as measured by daily workload and length of stay. The SOFA is an easily applied tool with excellent prognostic abilities and can be used to enhance clinical judgment of prognosis as well as providing patients and families with objective information.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Aug
pubmed:issn
0270-9139
pubmed:author
pubmed:issnType
Print
pubmed:volume
34
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
255-61
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
2001
pubmed:articleTitle
Short-term prognosis in critically ill patients with cirrhosis assessed by prognostic scoring systems.
pubmed:affiliation
Department of Medicine I and Medical Informatics, University of Erlangen-Nuremberg, Germany. markus.wehler@med1.imed.uni-erlangen.de
pubmed:publicationType
Journal Article, Comparative Study, Evaluation Studies