Literature DB >> 25236189

Routine CD4 cell count monitoring seldom contributes to clinical decision-making on antiretroviral therapy in virologically suppressed HIV-infected patients.

E P F Chow1, T R H Read, M Y Chen, G Fehler, C S Bradshaw, C K Fairley.   

Abstract

OBJECTIVES: In Australia, CD4 cell count is monitored approximately every 6 months in HIV-infected patients during antiretroviral therapy (ART). The aim of this study was to determine if routine CD4 monitoring contributed to decisions on changes to ART, and to estimate how reduced CD4 monitoring could contribute to cost savings in Australia.
METHODS: We conducted a retrospective cohort analysis investigating all HIV-infected patients who attended the Melbourne Sexual Health Centre (MSHC) in Australia from 1 April 2011 to 1 October 2013. We reviewed the electronic medical records of all patients who changed or stopped antiretroviral regimens during this time period to determine whether CD4 cell count could have contributed to this clinical decision.
RESULTS: Among 1004 patients with HIV infection on ART, none [95% confidence interval (CI) 0-2.3%] of the 162 clinical decisions to change or stop treatment were influenced by CD4 cell counts. Reducing the current biannual CD4 monitoring strategy to annually could potentially save ∼AU$ 1.5 million (US$ 1.4 million) each year in Australia [i.e. ∼AU$ 74 700 (US$ 67 700) could be saved per 1000 HIV-infected patients during ART].
CONCLUSIONS: Routine CD4 monitoring in HIV-infected patients during ART could be reduced from biannually to annually, as it rarely influences clinical decisions in patients' management. Not only could this avoid patients being unnecessarily anxious about normal fluctuations in their CD4 counts but it would also result in cost savings.
© 2014 British HIV Association.

Entities:  

Keywords:  CD4 count; HIV suppression; antiretroviral therapy

Mesh:

Substances:

Year:  2014        PMID: 25236189     DOI: 10.1111/hiv.12198

Source DB:  PubMed          Journal:  HIV Med        ISSN: 1464-2662            Impact factor:   3.180


  6 in total

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Authors:  Damalie Nakanjako; Agnes N Kiragga; Beverly S Musick; Constantin T Yiannoutsos; Kara Wools-Kaloustian; Lameck Diero; Patrick Oyaro; Emanuel Lugina; John C Ssali; Andrew Kambugu; Philippa Easterbrook
Journal:  AIDS       Date:  2016-07-31       Impact factor: 4.177

2.  Reducing CD4 Monitoring in Children on Antiretroviral Therapy With Virologic Suppression.

Authors:  Mary-Ann Davies; Nathan Ford; Helena Rabie; Geoffrey Fatti; Kathryn Stinson; Janet Giddy; Frank Tanser; Karl-Günter Technau; Shobna Sawry; Brian Eley; Robin Wood; Lynne M Mofenson; Olivia Keiser; Andrew Boulle
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3.  Is it still worthwhile to perform quarterly cd4+ t lymphocyte cell counts on hiv-1 infected stable patients?

Authors:  Antonio Di Biagio; Marta Ameri; Davide Sirello; Giovanni Cenderello; Enrico Di Bella; Lucia Taramasso; Barbara Giannini; Mauro Giacomini; Claudio Viscoli; Giovanni Cassola; Marcello Montefiori
Journal:  BMC Infect Dis       Date:  2017-02-06       Impact factor: 3.090

Review 4.  CD4 changes among virologically suppressed patients on antiretroviral therapy: a systematic review and meta-analysis.

Authors:  Nathan Ford; Kathryn Stinson; Howard Gale; Edward J Mills; Wendy Stevens; Mercedes Pérez González; Mercedes P González; Jessica Markby; Andrew Hill
Journal:  J Int AIDS Soc       Date:  2015-08-07       Impact factor: 5.396

5.  Implementation and Operational Research: CD4 Count Monitoring Frequency and Risk of CD4 Count Dropping Below 200 Cells Per Cubic Millimeter Among Stable HIV-Infected Patients in New York City, 2007-2013.

Authors:  Julie E Myers; Qiang Xia; Lucia V Torian; Mary Irvine; Graham Harriman; Kent A Sepkowitz; Colin W Shepard
Journal:  J Acquir Immune Defic Syndr       Date:  2016-03-01       Impact factor: 3.731

6.  Utility of CD4 count measurement in the era of universal antiretroviral therapy: an analysis of routine laboratory data in Botswana.

Authors:  T B Leeme; M Mine; K Lechiile; F Mulenga; M Mosepele; T Mphoyakgosi; C Muthoga; J Ngidi; B Nkomo; D Ramaabya; M Tau; M W Tenforde; R Hayes; J N Jarvis
Journal:  HIV Med       Date:  2020-09-02       Impact factor: 3.094

  6 in total

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