Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
6
pubmed:dateCreated
1997-2-13
pubmed:abstractText
This study reports the predictive value, in septic patients, of septic shock at presentation (SS factor) alone and in combination with multiple markers, using survival of the sepsis episode as the outcome measure. The SS factor correctly predicted the outcome in 53/68 (78%) of patients in this study. The Acute Physiology and Chronic Health Evaluation II Score (APACHE II or APII) and interleukin-6 (IL-6) and IL-6 soluble receptor (IL-6sR) concentrations were evaluated in combination with the SS factor in the same 68 patient population which was randomly divided into design (# = 50) and test groups (# = 18). Two iterations of an algorithm were evaluated using randomized patient groups corresponding to those producing the best (Group A) and worst (Group B) performance using a neural network. The four-input algorithm (APII, IL-6, IL-6sR, SS factor) correctly classified 16/18 (89%, Group A) and 14/18 (78%, Group B) of patients in the test subset. The corresponding four-input neural network model (10 iterations) correctly classified 61 to 89% of the 18 patients in the 10 test subsets.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
0091-7370
pubmed:author
pubmed:issnType
Print
pubmed:volume
26
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
471-9
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed-meshheading:8908316-APACHE, pubmed-meshheading:8908316-Adult, pubmed-meshheading:8908316-Aged, pubmed-meshheading:8908316-Algorithms, pubmed-meshheading:8908316-Antigens, CD, pubmed-meshheading:8908316-Biological Markers, pubmed-meshheading:8908316-Enzyme-Linked Immunosorbent Assay, pubmed-meshheading:8908316-Female, pubmed-meshheading:8908316-Humans, pubmed-meshheading:8908316-Interleukin-6, pubmed-meshheading:8908316-Male, pubmed-meshheading:8908316-Middle Aged, pubmed-meshheading:8908316-Neural Networks (Computer), pubmed-meshheading:8908316-Patient Selection, pubmed-meshheading:8908316-Prognosis, pubmed-meshheading:8908316-Receptors, Interleukin, pubmed-meshheading:8908316-Receptors, Interleukin-6, pubmed-meshheading:8908316-Sepsis, pubmed-meshheading:8908316-Shock, Septic, pubmed-meshheading:8908316-Treatment Outcome
pubmed:articleTitle
Multiparameter models for the prediction of sepsis outcome.
pubmed:affiliation
Department of Pathology and Laboratory Medicine, University of Cincinnati Medical Center, OH 45267, USA.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't