Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
1998-9-10
pubmed:abstractText
Risk stratification of patients in the intensive care unit (ICU) is an important tool because it permits comparison of patient populations for research and quality control. Unfortunately, currently available scoring systems were developed primarily in medical ICUs and have only mediocre performance in surgical ICUs. Moreover, they are very expensive to purchase and use. We conceived a simple risk-stratification tool for the surgical ICU that uses readily available International Classification of Diseases, Ninth Revision, codes to predict outcome. Called ICISS (International Classification of Disease Illness Severity Score), our score is the product of the survival risk ratios (obtained from an independent data set) for all International Classification of Diseases, Ninth Revision, diagnosis codes.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
AIM
pubmed:status
MEDLINE
pubmed:month
Aug
pubmed:issn
0022-5282
pubmed:author
pubmed:issnType
Print
pubmed:volume
45
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
234-7; discussion 237-8
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed-meshheading:9715178-APACHE, pubmed-meshheading:9715178-Adolescent, pubmed-meshheading:9715178-Adult, pubmed-meshheading:9715178-Aged, pubmed-meshheading:9715178-Aged, 80 and over, pubmed-meshheading:9715178-Calibration, pubmed-meshheading:9715178-Child, pubmed-meshheading:9715178-Child, Preschool, pubmed-meshheading:9715178-Diagnosis-Related Groups, pubmed-meshheading:9715178-Female, pubmed-meshheading:9715178-Hospital Charges, pubmed-meshheading:9715178-Humans, pubmed-meshheading:9715178-Infant, pubmed-meshheading:9715178-Infant, Newborn, pubmed-meshheading:9715178-Intensive Care Units, pubmed-meshheading:9715178-Length of Stay, pubmed-meshheading:9715178-Logistic Models, pubmed-meshheading:9715178-Male, pubmed-meshheading:9715178-Middle Aged, pubmed-meshheading:9715178-North Carolina, pubmed-meshheading:9715178-Postoperative Complications, pubmed-meshheading:9715178-Predictive Value of Tests, pubmed-meshheading:9715178-ROC Curve, pubmed-meshheading:9715178-Risk Factors, pubmed-meshheading:9715178-Severity of Illness Index, pubmed-meshheading:9715178-Survival Analysis
pubmed:year
1998
pubmed:articleTitle
Predicting survival, length of stay, and cost in the surgical intensive care unit: APACHE II versus ICISS.
pubmed:affiliation
University of Vermont College of Medicine, Burlington, USA. turner.osler@vtmednet.org
pubmed:publicationType
Journal Article, Comparative Study