Literature DB >> 21505319

Economic evaluation of monitoring virologic responses to antiretroviral therapy in HIV-infected children in resource-limited settings.

Karen Schneider1, Thanyawee Puthanakit, Stephen Kerr, Matthew G Law, David A Cooper, Basil Donovan, Nittaya Phanuphak, Virat Sirisanthana, Jintanat Ananworanich, June Ohata, David P Wilson.   

Abstract

OBJECTIVE: Antiretroviral therapy (ART) management for HIV-infected children is critical in many resource-constrained countries. We investigated the cost-effectiveness and cost-utility of different frequencies of monitoring plasma viral load among HIV-positive children initiating ART in a resource-limited setting. DESIGN/
METHODS: A stochastic agent-based simulation model was built and directly informed by a cohort of 304 HIV-infected children starting ART in Thailand between 2001 and 2009. The model simulated the expected costs and clinical outcomes over time according to different viral load monitoring frequencies and initiation of second-line therapies when appropriate.
RESULTS: The optimal frequency of viral load monitoring was found to be annual, after a single screening at 6 months. Associated costs of viral load monitoring and appropriate ART would approximately triple current treatment costs. Compared with current conditions, a single screening during the first year of ART led to a 58.4% reduction in the total person-years of virological failure with annual monitoring leading to a 76.6% reduction. The incremental cost per quality adjusted life year gained from the optimal monitoring frequency was estimated as US$ 68,084 when including costs of ART and US$ 7224 without ART costs. The estimated cost attributed to preventing 1 year of virological failure was US$ 3393 with ART costs and US$ 359 without ART costs.
CONCLUSION: Even infrequent viral load monitoring is likely to provide substantial clinical benefit to HIV-infected children on ART. Viral load monitoring can be considered cost-effective in many resource-limited settings. However, the costs associated with second-line therapies could be a barrier to its economic feasibility.

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Year:  2011        PMID: 21505319     DOI: 10.1097/QAD.0b013e3283466fab

Source DB:  PubMed          Journal:  AIDS        ISSN: 0269-9370            Impact factor:   4.177


  15 in total

1.  Viral load versus CD4⁺ monitoring and 5-year outcomes of antiretroviral therapy in HIV-positive children in Southern Africa: a cohort-based modelling study.

Authors:  Luisa Salazar-Vizcaya; Olivia Keiser; Mary-Ann Davies; Andreas D Haas; Nello Blaser; Vivian Cox; Brian Eley; Helena Rabie; Harry Moultrie; Janet Giddy; Robin Wood; Matthias Egger; Janne Estill
Journal:  AIDS       Date:  2014-10-23       Impact factor: 4.177

2.  Prediction of treatment failure using 2010 World Health Organization Guidelines is associated with high misclassification rates and drug resistance among HIV-infected Cambodian children.

Authors:  Benjamin P Westley; Allison K DeLong; Chhraing S Tray; Dim Sophearin; Elizabeth M Dufort; Eric Nerrienet; Leeann Schreier; Joseph I Harwell; Rami Kantor
Journal:  Clin Infect Dis       Date:  2012-04-26       Impact factor: 9.079

3.  Switching children previously exposed to nevirapine to nevirapine-based treatment after initial suppression with a protease-inhibitor-based regimen: long-term follow-up of a randomised, open-label trial.

Authors:  Louise Kuhn; Ashraf Coovadia; Renate Strehlau; Leigh Martens; Chih-Chi Hu; Tammy Meyers; Gayle Sherman; Gillian Hunt; Deborah Persaud; Lynn Morris; Wei-Yann Tsai; Elaine J Abrams
Journal:  Lancet Infect Dis       Date:  2012-03-16       Impact factor: 25.071

4.  Adaptive Viral Load Monitoring Frequency to Facilitate Differentiated Care: A Modeling Study From Rakai, Uganda.

Authors:  Victor Ssempijja; Martha Nason; Gertrude Nakigozi; Anthony Ndyanabo; Ron Gray; Maria Wawer; Larry W Chang; Erin Gabriel; Thomas C Quinn; David Serwadda; Steven J Reynolds
Journal:  Clin Infect Dis       Date:  2020-08-14       Impact factor: 9.079

5.  The role of targeted viral load testing in diagnosing virological failure in children on antiretroviral therapy with immunological failure.

Authors:  Mary-Ann Davies; Andrew Boulle; Karl Technau; Brian Eley; Harry Moultrie; Helena Rabie; Daniela Garone; Janet Giddy; Robin Wood; Matthias Egger; Olivia Keiser
Journal:  Trop Med Int Health       Date:  2012-09-14       Impact factor: 2.622

Review 6.  What is needed to eliminate new pediatric HIV infections: the contribution of model-based analyses.

Authors:  Katie Doherty; Andrea Ciaranello
Journal:  Curr Opin HIV AIDS       Date:  2013-09       Impact factor: 4.283

Review 7.  Point-of-Care HIV Viral Load Testing: an Essential Tool for a Sustainable Global HIV/AIDS Response.

Authors:  Paul K Drain; Jienchi Dorward; Andrew Bender; Lorraine Lillis; Francesco Marinucci; Jilian Sacks; Anna Bershteyn; David S Boyle; Jonathan D Posner; Nigel Garrett
Journal:  Clin Microbiol Rev       Date:  2019-05-15       Impact factor: 26.132

8.  Virologic versus immunologic monitoring and the rate of accumulated genotypic resistance to first-line antiretroviral drugs in Uganda.

Authors:  Steven J Reynolds; Hakim Sendagire; Kevin Newell; Barbara Castelnuovo; Immaculate Nankya; Moses Kamya; Thomas C Quinn; Yukari C Manabe; Andrew Kambugu
Journal:  BMC Infect Dis       Date:  2012-12-27       Impact factor: 3.090

9.  Field evaluation of HIV-1 viral load monitoring in adults and children receiving antiretroviral treatment in Nigeria by dried blood spot testing with RealTime HIV-1 on m2000.

Authors:  Monday Tola; Ramadhani O Habib; Adebajo Sylvia; Trevor A Crowell; Nowak G Rebecca; Manhattan E Charurat; Patrick Dakum; Nicaise Ndembi
Journal:  J Clin Virol       Date:  2020-11-25       Impact factor: 14.481

Review 10.  Spending of HIV resources in Asia and Eastern Europe: systematic review reveals the need to shift funding allocations towards priority populations.

Authors:  Andrew P Craig; Hla-Hla Thein; Lei Zhang; Richard T Gray; Klara Henderson; David Wilson; Marelize Gorgens; David P Wilson
Journal:  J Int AIDS Soc       Date:  2014-02-25       Impact factor: 5.396

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