Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
5
pubmed:dateCreated
2009-5-1
pubmed:abstractText
The aim of the present study was to evaluate a method for calculating arterial values of pH, carbon dioxide tension (P(CO(2))) and oxygen tension (P(O(2))) from peripheral venous values. In total, 40 patients were studied. Arterial and peripheral venous blood were sampled at a department of respiratory diseases. Arterial values were calculated from venous, and measured and calculated values of arterial pH, P(CO(2)) and P(O(2)) were compared. Measured and calculated values of pH and P(CO(2)) correlated well, with the difference between them having a very small bias and standard deviation (pH -0.001+/-0.013, P(CO(2)) -0.09+/-0.28 kPa) within those considered acceptable for laboratory equipment and clinical practice. All but four patients had peripheral oxygen saturation (S(p,O(2))) <or=96%, and for these measured and calculated P(O(2)) correlated well, with a difference such that the bias and standard deviation suggested that calculated P(O(2)) may be clinically useful (P(O(2)) 0.11+/-0.53 kPa). The present study evaluates a method for calculating arterial pH, carbon dioxide tension and oxygen tension from venous blood. It has been shown that arterial pH and carbon dioxide tension can be calculated precisely, and that oxygen tension can be calculated with reasonable precision in the vast majority of patients. This method might be useful in reducing the need for painful arterial punctures.
pubmed:commentsCorrections
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
May
pubmed:issn
1399-3003
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
33
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1141-7
pubmed:dateRevised
2011-6-22
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
Converting venous acid-base and oxygen status to arterial in patients with lung disease.
pubmed:affiliation
Center for Model Based Medical Decision Support, Department of Health Science and Technology, Aalborg University, Aalborg, Denmark. sr@hst.aau.dk
pubmed:publicationType
Journal Article