Linked Life Data

16107948

Source:http://linkedlifedata.com/resource/pubmed/id/16107948

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
6
pubmed:dateCreated
2005-8-18
pubmed:abstractText
Good estimates of the prevalence of human immunodeficiency virus drug resistance are important for assessing requirements for new drug classes and modeling the spread of resistance. However, little consensus exists on optimal methodologies to generate such data. To compare methodologies, we used the national data set of resistance tests from >4000 patients in the United Kingdom performed between 1998 and 2002. When single-time-point analysis (method 1) was used, the proportion of tests with any form of resistance was approximately 80%, with little time trend. When a cumulative model of resistance (method 2) was used and placed in the context of all treated patients, the prevalence of any resistance increased by year, reaching 17% of treated patients in 2002. Method 2 also nearly doubles estimates of numbers of individuals infected with multiclass drug-resistant virus. Our results identify an urgent need for new drugs within existing classes and new classes of antiretroviral therapy.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
AIM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Sep
pubmed:issn
0022-1899
pubmed:author
pubmed:issnType
Print
pubmed:day
15
pubmed:volume
192
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
967-73
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
2005
pubmed:articleTitle
Estimating HIV-1 drug resistance in antiretroviral-treated individuals in the United Kingdom.
pubmed:affiliation
Centre for Virology, Royal Free and University College Medical School, University College, London, United Kingdom. d.pillay@ucl.ac.uk
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't