File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Gender difference in HIV-1 RNA viral loads

TitleGender difference in HIV-1 RNA viral loads
Authors
KeywordsChemicals And Cas Registry Numbers
Issue Date2005
PublisherBlackwell Publishing Ltd. The Journal's web site is located at http://www.blackwellpublishing.com/journals/HIV
Citation
Hiv Medicine, 2005, v. 6 n. 3, p. 170-178 How to Cite?
AbstractObjectives: To test and characterize the dependence of viral load on gender in different countries and racial groups as a function of CD4 T-cell count. Methods: Plasma viral load data were analysed for > 30 000 HIV-infected patients attending clinics in the USA [HIV Insight™ (Cerner Corporation, Vienna, VA, USA) and Plum Data Mining LLC (East Meadow, NY, USA) databases] and the Netherlands (Athena database; HIV Monitoring Foundation, Amsterdam, Netherlands). Log-normal regression models were used to test for an effect of gender on viral load while adjusting for covariates and allowing the effect to depend on CD4 T-cell count. Sensitivity analyses were performed to test the robustness of conclusions to assumptions regarding viral loads below the lower limit of quantification (LLOQ). Results: After adjusting for covariates, women had (nonsignificantly) lower viral loads than men (HIV Insight™: - 0.053 log 10 HIV-1 RNA copies/mL, P = 0.202; Athena: - 0.005 log 10 copies/mL, P = 0.667; Plum: - 0.072 log 10 copies/mL, P = 0.273). However, further investigation revealed that the gender effect d epended on CD4 T-cell count. Women had consistently higher viral loads than men when CD4 T-cell counts were at most 50 cells/μL, and consistently lower viral loads than men when CD4 T-cell counts were greater than 350 cells/μL. These effects were remarkably consistent when estimated independently for the racial groups with sufficient data available in the HIV Insight™ and Plum databases. Conclusions: The consistent relationship between gender-related differences in viral load and CD4 T-cell count demonstrated here explains the diverse findings previously published. © 2005 British HIV Association.
Persistent Identifierhttp://hdl.handle.net/10722/92603
ISSN
2023 Impact Factor: 2.8
2023 SCImago Journal Rankings: 1.052
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorDonnelly, CAen_HK
dc.contributor.authorBartley, LMen_HK
dc.contributor.authorGhani, ACen_HK
dc.contributor.authorLe Fevre, AMen_HK
dc.contributor.authorKwong, GPen_HK
dc.contributor.authorCowling, BJen_HK
dc.contributor.authorvan Sighem, ALen_HK
dc.contributor.authorde Wolf, Fen_HK
dc.contributor.authorRode, RAen_HK
dc.contributor.authorAnderson, RMen_HK
dc.date.accessioned2010-09-17T10:51:25Z-
dc.date.available2010-09-17T10:51:25Z-
dc.date.issued2005en_HK
dc.identifier.citationHiv Medicine, 2005, v. 6 n. 3, p. 170-178en_HK
dc.identifier.issn1464-2662en_HK
dc.identifier.urihttp://hdl.handle.net/10722/92603-
dc.description.abstractObjectives: To test and characterize the dependence of viral load on gender in different countries and racial groups as a function of CD4 T-cell count. Methods: Plasma viral load data were analysed for > 30 000 HIV-infected patients attending clinics in the USA [HIV Insight™ (Cerner Corporation, Vienna, VA, USA) and Plum Data Mining LLC (East Meadow, NY, USA) databases] and the Netherlands (Athena database; HIV Monitoring Foundation, Amsterdam, Netherlands). Log-normal regression models were used to test for an effect of gender on viral load while adjusting for covariates and allowing the effect to depend on CD4 T-cell count. Sensitivity analyses were performed to test the robustness of conclusions to assumptions regarding viral loads below the lower limit of quantification (LLOQ). Results: After adjusting for covariates, women had (nonsignificantly) lower viral loads than men (HIV Insight™: - 0.053 log 10 HIV-1 RNA copies/mL, P = 0.202; Athena: - 0.005 log 10 copies/mL, P = 0.667; Plum: - 0.072 log 10 copies/mL, P = 0.273). However, further investigation revealed that the gender effect d epended on CD4 T-cell count. Women had consistently higher viral loads than men when CD4 T-cell counts were at most 50 cells/μL, and consistently lower viral loads than men when CD4 T-cell counts were greater than 350 cells/μL. These effects were remarkably consistent when estimated independently for the racial groups with sufficient data available in the HIV Insight™ and Plum databases. Conclusions: The consistent relationship between gender-related differences in viral load and CD4 T-cell count demonstrated here explains the diverse findings previously published. © 2005 British HIV Association.en_HK
dc.languageengen_HK
dc.publisherBlackwell Publishing Ltd. The Journal's web site is located at http://www.blackwellpublishing.com/journals/HIVen_HK
dc.relation.ispartofHIV Medicineen_HK
dc.subjectChemicals And Cas Registry Numbersen_HK
dc.subject.meshAdulten_HK
dc.subject.meshCD4 Lymphocyte Counten_HK
dc.subject.meshData Collectionen_HK
dc.subject.meshDatabases, Factualen_HK
dc.subject.meshFemaleen_HK
dc.subject.meshHIV Infections - immunology - virologyen_HK
dc.subject.meshHIV-1en_HK
dc.subject.meshHumansen_HK
dc.subject.meshMaleen_HK
dc.subject.meshRegression Analysisen_HK
dc.subject.meshSex Distributionen_HK
dc.subject.meshStatistics, Nonparametricen_HK
dc.subject.meshUnited Statesen_HK
dc.subject.meshViral Loaden_HK
dc.titleGender difference in HIV-1 RNA viral loadsen_HK
dc.typeArticleen_HK
dc.identifier.emailCowling, BJ:bcowling@hku.hken_HK
dc.identifier.authorityCowling, BJ=rp01326en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1111/j.1468-1293.2005.00285.xen_HK
dc.identifier.pmid15876283-
dc.identifier.scopuseid_2-s2.0-21144446700en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-21144446700&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume6en_HK
dc.identifier.issue3en_HK
dc.identifier.spage170en_HK
dc.identifier.epage178en_HK
dc.identifier.isiWOS:000229374200005-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridDonnelly, CA=35468127900en_HK
dc.identifier.scopusauthoridBartley, LM=6602473514en_HK
dc.identifier.scopusauthoridGhani, AC=7006814439en_HK
dc.identifier.scopusauthoridLe Fevre, AM=6603804606en_HK
dc.identifier.scopusauthoridKwong, GP=8501951800en_HK
dc.identifier.scopusauthoridCowling, BJ=8644765500en_HK
dc.identifier.scopusauthoridvan Sighem, AL=14824235200en_HK
dc.identifier.scopusauthoridde Wolf, F=7005022848en_HK
dc.identifier.scopusauthoridRode, RA=7004739315en_HK
dc.identifier.scopusauthoridAnderson, RM=7408244444en_HK
dc.identifier.citeulike186223-
dc.identifier.issnl1464-2662-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats