Predictive Value of HIV‐1 Genotypic Resistance Test Interpretation Algorithms | Zendy

SooYon Rhee | Zendy; W. Jeffrey Fessel | Zendy; Tommy F. Liu | Zendy; Natalia Marlowe | Zendy; Charles M. Rowland | Zendy; Richard A. Rode | Zendy; Anne–Mieke Vandamme | Zendy; Kristel Van Laethem | Zendy; Françoise BrunVézinet | Zendy; Vincent Cálvez | Zendy; Jonathan Taylor | Zendy; Leo B. Hurley | Zendy; Michael A. Horberg | Zendy; Robert W. Shafer | Zendy

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Predictive Value of HIV‐1 Genotypic Resistance Test Interpretation Algorithms

Author(s) -

SooYon Rhee,

W. Jeffrey Fessel,

Tommy F. Liu,

Natalia Marlowe,

Charles M. Rowland,

Richard A. Rode,

Anne–Mieke Vandamme,

Kristel Van Laethem,

Françoise BrunVézinet,

Vincent Cálvez,

Jonathan Taylor,

Leo B. Hurley,

Michael A. Horberg,

Robert W. Shafer

Publication year - 2009

Publication title -

the journal of infectious diseases

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.69

H-Index - 252

eISSN - 1537-6613

pISSN - 0022-1899

DOI - 10.1086/600073

Subject(s) - human immunodeficiency virus (hiv) , predictive value , hiv drug resistance , algorithm , genotype , drug resistance , interpretation (philosophy) , medicine , test (biology) , resistance (ecology) , virology , antiretroviral therapy , computer science , viral load , biology , genetics , ecology , gene , programming language , paleontology

Interpreting human immunodeficiency virus type 1 (HIV-1) genotypic drug-resistance test results is challenging for clinicians treating HIV-1-infected patients. Multiple drug-resistance interpretation algorithms have been developed, but their predictive value has rarely been evaluated using contemporary clinical data sets.

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