Literature DB >> 21694603

Unnecessary antiretroviral treatment switches and accumulation of HIV resistance mutations; two arguments for viral load monitoring in Africa.

Kim C E Sigaloff1, Raph L Hamers, Carole L Wallis, Cissy Kityo, Margaret Siwale, Prudence Ive, Mariette E Botes, Kishor Mandaliya, Maureen Wellington, Akin Osibogun, Wendy S Stevens, Michèle van Vugt, Tobias F Rinke de Wit.   

Abstract

OBJECTIVES: This study aimed to investigate the consequences of using clinicoimmunological criteria to detect antiretroviral treatment (ART) failure and guide regimen switches in HIV-infected adults in sub-Saharan Africa. Frequencies of unnecessary switches, patterns of HIV drug resistance, and risk factors for the accumulation of nucleoside reverse transcriptase inhibitor (NRTI)-associated mutations were evaluated.
METHODS: Cross-sectional analysis of adults switching ART regimens at 13 clinical sites in 6 African countries was performed. Two types of failure identification were compared: diagnosis of clinicoimmunological failure without viral load testing (CIF only) or CIF with local targeted viral load testing (targeted VL). After study enrollment, reference HIV RNA and genotype were determined retrospectively. Logistic regression assessed factors associated with multiple thymidine analogue mutations (TAMs) and NRTI cross-resistance (≥2 TAMs or Q151M or K65R/K70E).
RESULTS: Of 250 patients with CIF switching to second-line ART, targeted VL was performed in 186. Unnecessary switch at reference HIV RNA <1000 copies per milliliter occurred in 46.9% of CIF only patients versus 12.4% of patients with targeted VL (P < 0.001). NRTI cross-resistance was observed in 48.0% of 183 specimens available for genotypic analysis, comprising ≥2 TAMs (37.7%), K65R (7.1%), K70E (3.3%), or Q151M (3.3%). The presence of NRTI cross-resistance was associated with the duration of ART exposure and zidovudine use.
CONCLUSIONS: Clinicoimmunological monitoring without viral load testing resulted in frequent unnecessary regimen switches. Prolonged treatment failure was indicated by extensive NRTI cross-resistance. Access to virological monitoring should be expanded to prevent inappropriate switches, enable early failure detection and preserve second-line treatment options in Africa.

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Year:  2011        PMID: 21694603     DOI: 10.1097/QAI.0b013e318227fc34

Source DB:  PubMed          Journal:  J Acquir Immune Defic Syndr        ISSN: 1525-4135            Impact factor:   3.731


  98 in total

1.  HIV in Africa: Challenges and Directions for the Next Decade.

Authors:  Bruce L Gilliam; Devang Patel; Rohit Talwani; Zelalem Temesgen
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2.  On the front line of HIV virological monitoring: barriers and facilitators from a provider perspective in resource-limited settings.

Authors:  S E Rutstein; C E Golin; S B Wheeler; D Kamwendo; M C Hosseinipour; M Weinberger; W C Miller; A K Biddle; A Soko; M Mkandawire; R Mwenda; A Sarr; S Gupta; R Mataya
Journal:  AIDS Care       Date:  2015-08-17

3.  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

4.  Drug resistance and optimizing dolutegravir regimens for adolescents and young adults failing antiretroviral therapy.

Authors:  Vinie Kouamou; Justen Manasa; David Katzenstein; Alan M McGregor; Chiratidzo E Ndhlovu; Azure T Makadzange
Journal:  AIDS       Date:  2019-09-01       Impact factor: 4.177

5.  Phenotype, Genotype, and Drug Resistance in Subtype C HIV-1 Infection.

Authors:  Anne Derache; Carole L Wallis; Saran Vardhanabhuti; John Bartlett; Nagalingeswaran Kumarasamy; David Katzenstein
Journal:  J Infect Dis       Date:  2015-07-14       Impact factor: 5.226

6.  Supporting Quality Data Systems: Lessons Learned from Early Implementation of Routine Viral Load Monitoring at a Large Clinic in Lilongwe, Malawi.

Authors:  Jean Gibb; Jimmy Chitsulo; Chifundo Chipungu; Mackenzie Chivwara; Alan Schooley; Risa M Hoffman
Journal:  J Clin Res HIV AIDS Prev       Date:  2017-03-14

7.  Computational models can predict response to HIV therapy without a genotype and may reduce treatment failure in different resource-limited settings.

Authors:  A D Revell; D Wang; R Wood; C Morrow; H Tempelman; R L Hamers; G Alvarez-Uria; A Streinu-Cercel; L Ene; A M J Wensing; F DeWolf; M Nelson; J S Montaner; H C Lane; B A Larder
Journal:  J Antimicrob Chemother       Date:  2013-03-13       Impact factor: 5.790

8.  Regional differences in predictive accuracy of WHO immunologic failure criteria.

Authors:  Agnes N Kiragga; Barbara Castelnuovo; Moses R Kamya; Richard Moore; Yukari C Manabe
Journal:  AIDS       Date:  2012-03-27       Impact factor: 4.177

Review 9.  Developments in CD4 and viral load monitoring in resource-limited settings.

Authors:  Christopher F Rowley
Journal:  Clin Infect Dis       Date:  2013-11-11       Impact factor: 9.079

Review 10.  Combination implementation for HIV prevention: moving from clinical trial evidence to population-level effects.

Authors:  Larry W Chang; David Serwadda; Thomas C Quinn; Maria J Wawer; Ronald H Gray; Steven J Reynolds
Journal:  Lancet Infect Dis       Date:  2013-01       Impact factor: 25.071

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