Linked Life Data

17697527

Source:http://linkedlifedata.com/resource/pubmed/id/17697527

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2007-8-16
pubmed:abstractText
This study identified predictive factors for post-operative nausea and vomiting (PONV) in patients using patient-controlled analgesia (PCA) and developed five predictive model pathways to calculate the probability of PONV using decision tree analysis. The sample consisted of 1181 patients using PCA. Data were collected using: a specifically designed check-off form to collect patient-, surgery-, anaesthesia- and post-operation-related data; the Beck Anxiety Inventory to measure pre-operative anxiety; and a visual analogue scale, to measure post-operative pain. The incidence of PONV was 27.7%. Nine factors were highly predictive of PONV in our five model pathways: gender, obesity, anxiety, history of previous PONV, history of motion sickness, inhalation of nitrous oxide during operation, use of inhalational agents, starting oral fluid/food intake after operation, and post-operative pain. With these five predictive model pathways, we can predict the probability of PONV in an individual patient according to their individual characteristics.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
0300-0605
pubmed:author
pubmed:issnType
Print
pubmed:volume
35
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
497-507
pubmed:meshHeading
pubmed:articleTitle
Predictive models for post-operative nausea and vomiting in patients using patient-controlled analgesia.
pubmed:affiliation
Postanaesthetic Care Unit, Asan Medical Centre, Songpa-Gu, Seoul, Korea.
pubmed:publicationType
Journal Article