Linked Life Data

15839048

Source:http://linkedlifedata.com/resource/pubmed/id/15839048

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2005-4-20
pubmed:abstractText
To date, it has been difficult to detect a mix-up of specimens for microbiological examinations. We developed and evaluated a computer program that detects specimen mix-up during the examinations. Once some bacterial species such as Pseudomonas aeruginosa and MRSA are detected in an examination, it is not easy for these bacteria to disappear on subsequent examinations. It is possible to speculate that there has been a specimen mix-up when there are differences in the existence of bacterial species between the results of the past and current examinations. In this study, 1379 false mix-up specimens were created and evaluated for the detection of specimen mix-ups using this method and 417 of the 1379 specimens were detected as mix-ups (sensitivity; 30.2%). Furthermore, when 1486 real specimens were evaluated for the detection of mix-ups, 114 samples were judged to have been mixed-up. Three of these samples were mixed up during the examinations (specificity; 92.5%). These findings suggest that this method is useful for the detection of specimen mix-up during microbiological examinations.
pubmed:language
jpn
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Mar
pubmed:issn
0047-1860
pubmed:author
pubmed:issnType
Print
pubmed:volume
53
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
201-6
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
2005
pubmed:articleTitle
[Evaluation of the new detectable method of the specimen mix-up in a microbiological examination].
pubmed:affiliation
Clinical Laboratory Center, Oita University Hospital, Hasama, Oita 879-5593.
pubmed:publicationType
Journal Article, English Abstract