Literature DB >> 18354853

Predicting and monitoring antiretroviral adherence.

Robert Gross1.   

Abstract

Antiretroviral therapy is complicated and can be hard to follow. For HIV-infected patients, adhering to a prescribed regimen of antiretroviral therapy provides important individual survival benefits, and also reduces the risk of developing drug resistant viral strains that can infect others. Even patients with initially high levels of adherence to antiretroviral therapy face the challenge of maintaining those levels over time. Ideally, clinicians caring for HIV-infected patients would have some way of predicting which patients are most likely to need help in adhering to a prescribed regimen and an early warning system alerting them to their patients' non-adherence. This Issue Brief summarizes recent studies whose findings may help clinicians predict and monitor their patients' adherence before treatment failure occurs.

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Year:  2007        PMID: 18354853

Source DB:  PubMed          Journal:  LDI Issue Brief        ISSN: 1553-0671


  2 in total

1.  Caregiver versus self-reported activities of daily living among HIV-positive persons in Rakai, Uganda.

Authors:  Alice Kisakye; Deanna Saylor; Ned Sacktor; Gertrude Nakigozi; Noeline Nakasujja; Kevin Robertson; Aggrey Anok; Maria Wawer; Ron Gray
Journal:  AIDS Care       Date:  2018-12-15

2.  A comparison of performance-based measures of function in HIV-associated neurocognitive disorders.

Authors:  Nishiena S Gandhi; Richard L Skolasky; Katherine B Peters; Richard T Moxley; Jason Creighton; Heidi Vornbrock Roosa; Ola A Selnes; Justin McArthur; Ned Sacktor
Journal:  J Neurovirol       Date:  2011-03-25       Impact factor: 2.643

  2 in total

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