Linked Life Data

8122285

Source:http://linkedlifedata.com/resource/pubmed/id/8122285

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
6
pubmed:dateCreated
1994-4-7
pubmed:abstractText
The published selection criteria for use of anti-endotoxin antibodies are modeled on the criteria used in protocol enrollment of patients. These criteria are not suitable for therapeutic decision-making, because the trials themselves prove that the enrollment criteria have both low sensitivity and low specificity. In order to develop a selection method with greater sensitivity and specificity, we examined the charts and records of 23 patients that we enrolled in the multicenter trials of E5 and HA-1A. We retrospectively determined that seven of our 23 enrolled patients were optimal candidates, based on a pattern of rapid clinical deterioration followed by improvement in 24-96 h. We then explored a variety of different modes of bedside patient selection, in search of a method to select as many of the seven optimal candidates as possible while at the same time rejecting the greatest number of the 16 who showed no benefit when treated. None of the resulting selection methods has perfect performance, but nearly all were better than the original protocol enrollment criteria. In our patients, bacteremia had 57% sensitivity and 56% specificity, which was quite similar to the findings in the HA-1A multicenter trial. Shock had 100% sensitivity and 44% specificity, while a baseline organ dysfunction score of > or = 5 had 100% sensitivity and 69% specificity. A new algorithm that we developed based on a patient's need for vasopressors and baseline organ dysfunction had 100% sensitivity and 81% specificity. This algorithm could identify all seven of the optimal candidates, plus three more.(ABSTRACT TRUNCATED AT 250 WORDS)
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Dec
pubmed:issn
0163-4356
pubmed:author
pubmed:issnType
Print
pubmed:volume
15
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
503-9
pubmed:dateRevised
2004-11-17
pubmed:meshHeading
pubmed:year
1993
pubmed:articleTitle
The development of a bedside algorithm capable of targeting anti-endotoxins to the responder subpopulations.
pubmed:affiliation
Center for Clinical Pharmacy Research, School of Pharmacy, State University of New York at Buffalo.
pubmed:publicationType
Journal Article, Clinical Trial, Multicenter Study, Clinical Trial, Phase III