Literature DB >> 22080121

Immunologic criteria are poor predictors of virologic outcome: implications for HIV treatment monitoring in resource-limited settings.

Holly E Rawizza1, Beth Chaplin, Seema T Meloni, Geoffrey Eisen, Tara Rao, Jean-Louis Sankalé, Abdoulaye Dieng-Sarr, Oche Agbaji, Daniel I Onwujekwe, Wadzani Gashau, Reuben Nkado, Ernest Ekong, Prosper Okonkwo, Robert L Murphy, Phyllis J Kanki.   

Abstract

BACKGROUND: Viral load (VL) quantification is considered essential for determining antiretroviral treatment (ART) success in resource-rich countries. However, it is not widely available in resource-limited settings where the burden of human immunodeficiency virus infection is greatest. In the absence of VL monitoring, switches to second-line ART are based on World Health Organization (WHO) clinical or immunologic failure criteria.
METHODS: We assessed the performance of CD4 cell criteria to predict virologic outcomes in a large ART program in Nigeria. Laboratory monitoring consists of CD4 cell count and VL at baseline, then every 6 months. Failure was defined as 2 consecutive VLs >1000 copies/mL after at least 6 months of ART. Virologic outcomes were compared with the 3 WHO-defined immunologic failure criteria.
RESULTS: A total of 9690 patients were included in the analysis (median follow-up, 33.2 months). A total of 1225 patients experienced failure by both immunologic and virologic criteria, 872 by virologic criteria only, and 1897 by immunologic criteria only. The sensitivity of CD4 cell criteria to detect viral failure was 58%, specificity was 75%, and the positive-predictive value was 39%. For patients with both virologic and immunologic failure, VL criteria identified failure significantly earlier than CD4 cell criteria (median, 10.4 vs 15.6 months; P < .0001).
CONCLUSIONS: Because of the low sensitivity of immunologic criteria, a substantial number of failures are missed, potentially resulting in accumulation of resistance mutations. In addition, specificity and predictive values are low, which may result in large numbers of unnecessary ART switches. Monitoring solely by immunologic criteria may result in increased costs because of excess switches to more expensive ART and development of drug-resistant virus.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 22080121      PMCID: PMC3246873          DOI: 10.1093/cid/cir729

Source DB:  PubMed          Journal:  Clin Infect Dis        ISSN: 1058-4838            Impact factor:   9.079


  27 in total

1.  Drug resistance after failure of initial antiretroviral therapy in resource-limited countries.

Authors:  Joel E Gallant
Journal:  Clin Infect Dis       Date:  2006-12-27       Impact factor: 9.079

2.  Adherence is not a barrier to successful antiretroviral therapy in South Africa.

Authors:  Catherine Orrell; David R Bangsberg; Motasim Badri; Robin Wood
Journal:  AIDS       Date:  2003-06-13       Impact factor: 4.177

3.  DART points the way for HIV treatment programmes.

Authors:  Andrew Phillips; Joep van Oosterhout
Journal:  Lancet       Date:  2009-12-08       Impact factor: 79.321

4.  HIV viral load monitoring in resource-limited regions: optional or necessary?

Authors:  Alexandra Calmy; Nathan Ford; Bernard Hirschel; Steven J Reynolds; Lut Lynen; Eric Goemaere; Felipe Garcia de la Vega; Luc Perrin; William Rodriguez
Journal:  Clin Infect Dis       Date:  2006-11-28       Impact factor: 9.079

5.  Suboptimal etravirine activity is common during failure of nevirapine-based combination antiretroviral therapy in a cohort infected with non-B subtype HIV-1.

Authors:  Babafemi Taiwo; Beth Chaplin; Sudhir Penugonda; Seema Meloni; Sulaimon Akanmu; Wadzani Gashau; John Idoko; Isaac Adewole; Robert Murphy; Phyllis Kanki
Journal:  Curr HIV Res       Date:  2010-04       Impact factor: 1.581

6.  Antiretroviral treatment of adult HIV infection: 2010 recommendations of the International AIDS Society-USA panel.

Authors:  Melanie A Thompson; Judith A Aberg; Pedro Cahn; Julio S G Montaner; Giuliano Rizzardini; Amalio Telenti; José M Gatell; Huldrych F Günthard; Scott M Hammer; Martin S Hirsch; Donna M Jacobsen; Peter Reiss; Douglas D Richman; Paul A Volberding; Patrick Yeni; Robert T Schooley
Journal:  JAMA       Date:  2010-07-21       Impact factor: 56.272

7.  A survival method to estimate the time to occurrence of mutations: an application to thymidine analogue mutations in HIV-1-infected patients.

Authors:  Philippe Flandre; Diane Descamps; Veronique Joly; Vincent Meiffredy; Catherine Tamalet; Jacques Izopet; Francoise Brun-Vezinet
Journal:  J Infect Dis       Date:  2004-02-10       Impact factor: 5.226

8.  Efficacy and safety of TMC125 (etravirine) in treatment-experienced HIV-1-infected patients in DUET-2: 24-week results from a randomised, double-blind, placebo-controlled trial.

Authors:  Adriano Lazzarin; Thomas Campbell; Bonaventura Clotet; Margaret Johnson; Christine Katlama; Arend Moll; William Towner; Benoit Trottier; Monika Peeters; Johan Vingerhoets; Goedele de Smedt; Benny Baeten; Greet Beets; Rekha Sinha; Brian Woodfall
Journal:  Lancet       Date:  2007-07-07       Impact factor: 79.321

9.  Efficacy and safety of TMC125 (etravirine) in treatment-experienced HIV-1-infected patients in DUET-1: 24-week results from a randomised, double-blind, placebo-controlled trial.

Authors:  José Valdez Madruga; Pedro Cahn; Beatriz Grinsztejn; Richard Haubrich; Jacob Lalezari; Anthony Mills; Gilles Pialoux; Timothy Wilkin; Monika Peeters; Johan Vingerhoets; Goedele de Smedt; Lorant Leopold; Roberta Trefiglio; Brian Woodfall
Journal:  Lancet       Date:  2007-07-07       Impact factor: 79.321

10.  Evolution of drug resistance in HIV-infected patients remaining on a virologically failing combination antiretroviral therapy regimen.

Authors:  Alessandro Cozzi-Lepri; Andrew N Phillips; Lidia Ruiz; Bonaventura Clotet; Clive Loveday; Jesper Kjaer; Helene Mens; Nathan Clumeck; Ludmila Viksna; Francisco Antunes; Ladislav Machala; Jens D Lundgren
Journal:  AIDS       Date:  2007-03-30       Impact factor: 4.177

View more
  82 in total

1.  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

2.  HIV Viral Load Suppression in Adults and Children Receiving Antiretroviral Therapy-Results From the IeDEA Collaboration.

Authors:  Awachana Jiamsakul; Azar Kariminia; Keri N Althoff; Carina Cesar; Claudia P Cortes; Mary-Ann Davies; Viet Chau Do; Brian Eley; John Gill; Nagalingeswaran Kumarasamy; Daisy Maria Machado; Richard Moore; Hans Prozesky; Elizabeth Zaniewski; Matthew Law
Journal:  J Acquir Immune Defic Syndr       Date:  2017-11-01       Impact factor: 3.731

3.  Differences in virologic and immunologic response to antiretroviral therapy among HIV-1-infected infants and children.

Authors:  Kristjana H Ásbjörnsdóttir; James P Hughes; Dalton Wamalwa; Agnes Langat; Jennifer A Slyker; Hellen M Okinyi; Julie Overbaugh; Sarah Benki-Nugent; Kenneth Tapia; Elizabeth Maleche-Obimbo; Ali Rowhani-Rahbar; Grace John-Stewart
Journal:  AIDS       Date:  2016-11-28       Impact factor: 4.177

4.  Comparing the Diagnostics Accuracy of CD4+ T-Lymphocyte Count and Percent as a Surrogate Markers of Pediatric HIV Disease.

Authors:  Musie Ghebremichael; Haben Michael; Jack Tubbs; Elijah Paintsil
Journal:  J Math Stat       Date:  2019-04-03

5.  Implementation and Operational Research: Effects of CD4 Monitoring Frequency on Clinical End Points in Clinically Stable HIV-Infected Patients With Viral Suppression.

Authors:  Jin Young Ahn; David Boettiger; Matthew Law; Nagalingeswaran Kumarasamy; Evy Yunihastuti; Romanee Chaiwarith; Man Po Lee; Benedict L H Sim; Shinichi Oka; Wingwai Wong; Adeeba Kamarulzaman; Pacharee Kantipong; Praphan Phanuphak; Oon Tek Ng; Sasisopin Kiertiburanakul; Fujie Zhang; Sanjay Pujari; Rossana Ditangco; Winai Ratanasuwan; Tuti Parwati Merati; Vonthanak Saphonn; Annette H Sohn; Jun Yong Choi
Journal:  J Acquir Immune Defic Syndr       Date:  2015-07-01       Impact factor: 3.731

6.  Design and Development of a Risk Classification Instrument for Virological Failure in HIV, Using Psychosocial Determinants of Health: Preliminary Evidence from a South American Country.

Authors:  Angela J Pereira-Morales; Diana Acero Torres; Mary Moreno Zapata; Pedro Moreno Sierra; Jhon Astaiza Hurtado
Journal:  AIDS Behav       Date:  2021-02

7.  Antiretroviral drug concentrations in hair are associated with virologic outcomes among young people living with HIV in Tanzania.

Authors:  Zachary J Tabb; Blandina T Mmbaga; Monica Gandhi; Alexander Louie; Karen Kuncze; Hideaki Okochi; Aisa M Shayo; Elizabeth L Turner; Coleen K Cunningham; Dorothy E Dow
Journal:  AIDS       Date:  2018-06-01       Impact factor: 4.177

Review 8.  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

9.  Evaluating the utility of provider-recorded clinical status in the medical records of HIV-positive adults in a limited-resource setting.

Authors:  Samantha Stonbraker; Montina Befus; Leonel Lerebours Nadal; Mina Halpern; Elaine Larson
Journal:  Int J STD AIDS       Date:  2016-08-05       Impact factor: 1.359

10.  CD4 count slope and mortality in HIV-infected patients on antiretroviral therapy: multicohort analysis from South Africa.

Authors:  Christopher J Hoffmann; Michael Schomaker; Matthew P Fox; Portia Mutevedzi; Janet Giddy; Hans Prozesky; Robin Wood; Daniela B Garone; Matthias Egger; Andrew Boulle
Journal:  J Acquir Immune Defic Syndr       Date:  2013-05-01       Impact factor: 3.731

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.