Literature DB >> 24849476

Predicting treatment failure in adults and children on antiretroviral therapy: a systematic review of the performance characteristics of the 2010 WHO immunologic and clinical criteria for virologic failure.

George W Rutherford1, Andrew Anglemyer, Philippa J Easterbrook, Tara Horvath, Marco Vitoria, Martina Penazzato, Meg C Doherty.   

Abstract

OBJECTIVE: We systematically reviewed the performance of 2010 WHO immunologic and clinical criteria for predicting virologic failure in HIV-infected patients on antiretroviral therapy (ART).
DESIGN: Systematic review.
METHODS: We used Cochrane Collaboration methods. We calculated unweighted sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of immunologic and clinical criteria for predicting virologic failure.
RESULTS: We identified 18 studies. Sixteen assessed immunologic criteria in adults; 12 defined virologic failure as a plasma viral load of more than 50 to more than 1000 copies/ml in adults, three as viral load at least 5000 copies/ml, and two as viral load more than 10,000 copies/ml; the sensitivity ranged from 16.8 to 54.9%, specificity from 82.9 to 95.5%, PPV from 15.0 to 38.8%, and NPV from 90.9 to 98.6%. Seven studies assessed clinical criteria to predict viral load of more than 50 to more than 1000 copies/ml; the sensitivity was 11.0%, specificity 90.5%, PPV 44.9%, and NPV 90.2%. Seven studies assessed clinical or immunologic criteria defining virologic failure as viral load of more than 50 to more than 1000 copies/ml; their sensitivity was 26.6%, specificity 85.9%, PPV 49.4%, and NPV 91.1%. Four studies assessed immunologic criteria in children; three defined virologic failure as viral load at least 5000 copies/ml and one as viral load at least 400 copies/ml. The sensitivity ranged from 4.5 to 6.3%, specificity from 97.7 to 99.3%, PPV from 20.0 to 54.9%, and NPV from 85.5 to 91.8%.
CONCLUSION: The 2010 WHO clinical and immunologic criteria are insensitive and have low PPV for predicting virologic failure. These data support the strong recommendation 2013 treatment guidelines that viral load testing be used to monitor for, diagnose, and confirm ART failure.

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Year:  2014        PMID: 24849476     DOI: 10.1097/QAD.0000000000000236

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


  52 in total

1.  Implementation and Operational Research: Correlates of Adherence and Treatment Failure Among Kenyan Patients on Long-term Highly Active Antiretroviral Therapy.

Authors:  Washingtone Ochieng; Rose C Kitawi; Timothy J Nzomo; Ruth S Mwatelah; Maureen J Kimulwo; Dorothy J Ochieng; Joyceline Kinyua; Nancy Lagat; Kevin O Onyango; Raphael M Lwembe; Mkaya Mwamburi; Bernhards R Ogutu; Florence A Oloo; Rashid Aman
Journal:  J Acquir Immune Defic Syndr       Date:  2015-06-01       Impact factor: 3.731

Review 2.  Laboratory Innovation Towards Quality Program Sustainability.

Authors:  Alash'le Abimiku; Ralph Timperi; William Blattner
Journal:  Curr HIV/AIDS Rep       Date:  2016-08       Impact factor: 5.071

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.  Predictors of late virologic failure after initial successful suppression of HIV replication on efavirenz-based antiretroviral therapy.

Authors:  Isaac Singini; Thomas B Campbell; Laura M Smeaton; Nagalingeswaran Kumarasamy; Alberto La Rosa; Sineenart Taejareonkul; Steven A Safren; Timothy P Flanigan; James G Hakim; Michael D Hughes
Journal:  HIV Clin Trials       Date:  2016-07-29

5.  Time to First-Line ART Failure and Time to Second-Line ART Switch in the IeDEA Pediatric Cohort.

Authors:  Kara Wools-Kaloustian; Irene Marete; Samuel Ayaya; Annette H Sohn; Lam Van Nguyen; Shanshan Li; Valériane Leroy; Beverly S Musick; Jamie E Newman; Andrew Edmonds; Mary-Ann Davies; François T Eboua; Marie-Thérèse Obama; Marcel Yotebieng; Shobna Sawry; Lynne M Mofenson; Constantin T Yiannoutsos
Journal:  J Acquir Immune Defic Syndr       Date:  2018-06-01       Impact factor: 3.731

6.  A targeted approach for routine viral load monitoring in Malawian adults on antiretroviral therapy.

Authors:  Randy G Mungwira; Titus H Divala; Osward M Nyirenda; Maxwell Kanjala; Francis Muwalo; Felix A Mkandawire; Augustine Choko; Terrie E Taylor; Jane Mallewa; Joep J van Oosterhout; Miriam K Laufer; Matthew B Laurens
Journal:  Trop Med Int Health       Date:  2018-03-30       Impact factor: 2.622

7.  The occurrence of Simpson's paradox if site-level effect was ignored in the TREAT Asia HIV Observational Database.

Authors:  Awachana Jiamsakul; Stephen J Kerr; Ezhilarasi Chandrasekaran; Aizobelle Huelgas; Sineenart Taecharoenkul; Sirinya Teeraananchai; Gang Wan; Penh Sun Ly; Sasisopin Kiertiburanakul; Matthew Law
Journal:  J Clin Epidemiol       Date:  2016-02-04       Impact factor: 6.437

8.  Misclassification of Antiretroviral Treatment Failure Using WHO 2006 and 2010/2013 Immunologic Criteria in HIV-Infected Children and Adolescents in Western Kenya.

Authors:  Elizabeth M Dufort; Allison K DeLong; Marita Mann; Winstone M Nyandiko; Samuel O Ayaya; Joseph W Hogan; Rami Kantor
Journal:  J Pediatric Infect Dis Soc       Date:  2017-09-01       Impact factor: 3.164

9.  HIV viral suppression in TREAT Asia HIV Observational Database enrolled adults on antiretroviral therapy at the Social Health Clinic, the National Center for HIV/AIDS, Dermatology & STDs, Phnom Penh, Cambodia.

Authors:  David C Boettiger; Vohith Khol; Nicolas Durier; Matthew Law; Ly Penh Sun
Journal:  Antivir Ther       Date:  2016-04-28

10.  Reevaluating Cumulative HIV-1 Viral Load as a Prognostic Predictor: Predicting Opportunistic Infection Incidence and Mortality in a Ugandan Cohort.

Authors:  Joseph B Sempa; Jonathan Dushoff; Michael J Daniels; Barbara Castelnuovo; Agnes N Kiragga; Martin Nieuwoudt; Steven E Bellan
Journal:  Am J Epidemiol       Date:  2016-05-04       Impact factor: 4.897

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