Linked Life Data

8901084

Source:http://linkedlifedata.com/resource/pubmed/id/8901084

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
1997-1-13
pubmed:abstractText
The efficacy and quality of drug formulations are determined mainly by their bioavailability, which is defined by the rate and extent of drug absorption. The zero and first moments of the serum concentration time profile provide relevant information on the bioavailability. On the basis of the body residence time distributions, mean input times may be used as drug absorption rate parameters, but due to computational errors the statistical moments procedure is in some instances of limited value. To circumvent these problems we have developed a procedure to calculate mean input times from input profiles obtained by least-squares deconvolution. We enhanced the performance of the deconvolution method by directly generating initial estimates of one input rate for each sampling interval and compared the statistical properties of various input rate characteristics using data from a bioavailability study on four chlorprothixene preparations. The analysis of variance revealed that estimates of mean input times depended on the calculation procedure. Mean input times estimated by the least-squares deconvolution method were more reliable and less variable than those computed as differences of mean body residence times.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Apr
pubmed:issn
0022-3549
pubmed:author
pubmed:issnType
Print
pubmed:volume
85
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
434-9
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
1996
pubmed:articleTitle
Mean input times of three oral chlorprothixene formulations assessed by an enhanced least-squares deconvolution method.
pubmed:affiliation
Psychiatrische Klinik und Poliklinik der Rheinischen Friedrich-Wilhelms-Universität, Bonn, Germany.
pubmed:publicationType
Journal Article, Comparative Study