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PREDICTING RESISTANCE AS INDICATOR FOR NEED TO SWITCH FROM FIRST-LINE ANTIRETROVIRAL THERAPY AMONG PATIENTS WITH ELEVATED VIRAL LOADS: DEVELOPMENT OF A RISK SCORE ALGORITHM
Rutstein, Sarah E. et al. | Date Issued: 2016
Author
Rutstein, Sarah E.
Hosseinipour, Mina C.
Weinberger, Morris
Wheeler, Stephanie B.
Biddle, Andrea K.
Wallis, Carole L.
Balakrishnan, Pachamuthu
Mellors, John W.
Morgado, Mariza
Saravanan, Shanmugam
Tripathy, Srikanth
Vardhanabhuti, Saran
Eron, Joseph J.
Miller, William C.
Affilliation
University of North Carolina at Chapel Hill. Department of Health Policy and Management. Chapel Hill, North Carolina, USA / University of North Carolina at Chapel Hill. Division of Infectious Diseases. Chapel Hill, NC, USA.
University of North Carolina at Chapel Hill. Division of Infectious Diseases. Chapel Hill, NC, USA / UNC Project, Lilongwe. Malawi.
University of North Carolina at Chapel Hill. Department of Health Policy and Management. Chapel Hill, North Carolina, USA.
University of North Carolina at Chapel Hill. Department of Health Policy and Management. Chapel Hill, North Carolina, USA.
University of North Carolina at Chapel Hill. Department of Health Policy and Management. Chapel Hill, North Carolina, USA.
BARC-SA and Lancet Laboratories. Johannesburg, South Africa.
YRG Centre for AIDS Research and Education (YRG CARE). Voluntary Health Services.Taramani, Chennai 600113, India.
University of Pittsburgh. Division of Infectious Diseases. Pittsburgh, PA, USA.
Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Rio de Janeiro, RJ, Brasil / Programa Nacional de DST e Aids do Brasil. Departamento de AIDS, DST e Hepatites Virais. Rio de Janeiro, RJ, Brasil.
YRG Centre for AIDS Research and Education. Chennai, India.
Institute for Leprosy and Other Mycobacterial Diseases. Tajganj, Agra, India.
Harvard T.H. Chan School of Public Health. Boston, MA, USA.
University of North Carolina at Chapel Hill. Division of Infectious Diseases. Chapel Hill, NC, USA.
University of North Carolina at Chapel Hill. Division of Infectious Diseases. Chapel Hill, NC, USA / University of North Carolina at Chapel Hill. Department of Epidemiology. Chapel Hill, NC, USA.
Abstract
In resource-limited settings, where resistance testing is unavailable, confirmatory testing for patients with high viral loads (VL) delays antiretroviral therapy (ART) switches for persons with resistance. We developed a risk score algorithm to predict need for ART change by identifying resistance among persons with persistently elevated VL.
Keywords in Portuguese
HIV
Resistência
Monitorização da carga viral
Modelos de previsão
Configuração com recursos limitados
Terapia anti-retroviral
 
Keywords
HIV
Resistance
Viral load monitoring
Prediction models
Resource-limited setting
Antiretroviral therapy
 
Publisher
BioMed Central
Citation
RUTSTEIN, Sarah E. et al. Predicting resistance as indicator for need to switch from first-line antiretroviral therapy among patients with elevated viral loads: development of a risk score algorithm. BMC Infectious Diseases, v.16:280, 13p, 2016.
DOI
10.1186/s12879-016-1611-2
ISSN
1471-2334