Pooling Strategies to Reduce the Cost of HIV-1 RNA Load Monitoring in a Resource-Limited Setting | Zendy

Gert U. van Zyl | Zendy; Wolfgang Preiser | Zendy; S. Potschka | Zendy; A. T. Lundershausen | Zendy; Richard Haubrich | Zendy; Davey M. Smith | Zendy

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Pooling Strategies to Reduce the Cost of HIV-1 RNA Load Monitoring in a Resource-Limited Setting

Author(s) -

Gert U. van Zyl,

Wolfgang Preiser,

S. Potschka,

A. T. Lundershausen,

Richard Haubrich,

Davey M. Smith

Publication year - 2010

Publication title -

clinical infectious diseases

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.44

H-Index - 336

eISSN - 1537-6591

pISSN - 1058-4838

DOI - 10.1093/cid/ciq084

Subject(s) - viral load , pooling , medicine , human immunodeficiency virus (hiv) , immunology , virology , artificial intelligence , computer science

Quantitative human immunodeficiency virus (HIV) RNA load testing surpasses CD4 cell count and clinical monitoring in detecting antiretroviral therapy (ART) failure; however, its cost can be prohibitive. Recently, the use of pooling strategies with a clinically appropriate viral load threshold was shown to be accurate and efficient for monitoring when the prevalence of virologic failure is low.

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