Literature DB >> 21507924

Atazanavir concentration in hair is the strongest predictor of outcomes on antiretroviral therapy.

Monica Gandhi1, Niloufar Ameli, Peter Bacchetti, Kathryn Anastos, Stephen J Gange, Howard Minkoff, Mary Young, Joel Milam, Mardge H Cohen, Gerald B Sharp, Yong Huang, Ruth M Greenblatt.   

Abstract

BACKGROUND: Adequate exposure to antiretrovirals is important to maintain durable responses, but methods to assess exposure (eg, querying adherence and single plasma drug level measurements) are limited. Hair concentrations of antiretrovirals can integrate adherence and pharmacokinetics into a single assay.
METHODS: Small hair samples were collected from participants in the Women's Interagency HIV Study (WIHS), a large cohort of human immunodeficiency virus (HIV)-infected (and at-risk noninfected) women. From 2003 through 2008, we analyzed atazanavir hair concentrations longitudinally for women reporting receipt of atazanavir-based therapy. Multivariate random effects logistic regression models for repeated measures were used to estimate the association of hair drug levels with the primary outcome of virologic suppression (HIV RNA level, <80 copies/mL).
RESULTS: 424 WIHS participants (51% African-American, 31% Hispanic) contributed 1443 person-visits to the analysis. After adjusting for age, race, treatment experience, pretreatment viral load, CD4 count and AIDS status, and self-reported adherence, hair levels were the strongest predictor of suppression. Categorized hair antiretroviral levels revealed a monotonic relationship to suppression; women with atazanavir levels in the highest quintile had odds ratios (ORs) of 59.8 (95% confidence ratio, 29.0-123.2) for virologic suppression. Hair atazanavir concentrations were even more strongly associated with resuppression of viral loads in subgroups in which there had been previous lapses in adherence (OR, 210.2 [95% CI, 46.0-961.1]), low hair levels (OR, 132.8 [95% CI, 26.5-666.0]), or detectable viremia (OR, 400.7 [95% CI, 52.3-3069.7]).
CONCLUSIONS: Antiretroviral hair levels surpassed any other predictor of virologic outcomes to HIV treatment in a large cohort. Low antiretroviral exposure in hair may trigger interventions prior to failure or herald virologic failure in settings where measurement of viral loads is unavailable. Monitoring hair antiretroviral concentrations may be useful for prolonging regimen durability.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21507924      PMCID: PMC3079399          DOI: 10.1093/cid/cir131

Source DB:  PubMed          Journal:  Clin Infect Dis        ISSN: 1058-4838            Impact factor:   9.079


  19 in total

1.  Factors predictive of virological failure on atazanavir in 310 HIV-infected patients.

Authors:  François-Xavier Lescure; Jean-Marie Poirier; Jean-Luc Meynard; Jean-Baptiste Guiard-Schmid; Ouahiba Zouai; Philippe Bonnard; Laurence Slama; Corinne Amiel; Pierre-Marie Girard; Gilles Pialoux
Journal:  AIDS       Date:  2010-06-19       Impact factor: 4.177

Review 2.  Practical and conceptual challenges in measuring antiretroviral adherence.

Authors:  Karina M Berg; Julia H Arnsten
Journal:  J Acquir Immune Defic Syndr       Date:  2006-12-01       Impact factor: 3.731

3.  Management of antiretroviral failure and resistance in developing countries.

Authors:  Claudia Hawkins; Robert L Murphy
Journal:  Curr Opin HIV AIDS       Date:  2009-11       Impact factor: 4.283

4.  The World Health Organization's global strategy for prevention and assessment of HIV drug resistance.

Authors:  Diane E Bennett; Silvia Bertagnolio; Donald Sutherland; Charles F Gilks
Journal:  Antivir Ther       Date:  2008

5.  Rate of CD4+ cell count increase over periods of viral load suppression: relationship with the number of previous virological failures.

Authors:  Maria Paola Trotta; Alessandro Cozzi-Lepri; Adriana Ammassari; Jacopo Vecchiet; Giovanni Cassola; Pietro Caramello; Vincenzo Vullo; Fabrizio Soscia; Alessandro Chiodera; Nicoletta Ladisa; Clara Abeli; Roberto Cauda; Anna Rita Buonuomi; Andrea Antinori; Antonella d'Arminio Monforte
Journal:  Clin Infect Dis       Date:  2010-08-15       Impact factor: 9.079

6.  Average adherence to boosted protease inhibitor therapy, rather than the pattern of missed doses, as a predictor of HIV RNA replication.

Authors:  Jean-Jacques Parienti; Kathleen Ragland; Frédéric Lucht; Arnaud de la Blanchardière; Sylvie Dargère; Yazdan Yazdanpanah; Jean-Jacques Dutheil; Philippe Perré; Renaud Verdon; David R Bangsberg
Journal:  Clin Infect Dis       Date:  2010-04-15       Impact factor: 9.079

7.  Risk of high-level viraemia in HIV-infected patients on successful antiretroviral treatment for more than 6 months.

Authors:  F N Engsig; L H Omland; M V Larsen; L D Rasmussen; T Qvist; J Gerstoft; N Obel
Journal:  HIV Med       Date:  2010-02-09       Impact factor: 3.180

8.  Sensitive analysis of anti-HIV drugs, efavirenz, lopinavir and ritonavir, in human hair by liquid chromatography coupled with tandem mass spectrometry.

Authors:  Yong Huang; Monica Gandhi; Ruth M Greenblatt; Winnie Gee; Emil T Lin; Nicholas Messenkoff
Journal:  Rapid Commun Mass Spectrom       Date:  2008-11       Impact factor: 2.419

9.  Mid-dosing interval concentration of atazanavir and virological outcome in patients treated for HIV-1 infection.

Authors:  M Fabbiani; S Di Giambenedetto; E Ragazzoni; M Colafigli; M Prosperi; R Cauda; P Navarra; A De Luca
Journal:  HIV Med       Date:  2010-12-09       Impact factor: 3.180

10.  Protease inhibitor levels in hair strongly predict virologic response to treatment.

Authors:  Monica Gandhi; Niloufar Ameli; Peter Bacchetti; Stephen J Gange; Kathryn Anastos; Alexandra Levine; Charles L Hyman; Mardge Cohen; Mary Young; Yong Huang; Ruth M Greenblatt
Journal:  AIDS       Date:  2009-02-20       Impact factor: 4.177

View more
  87 in total

1.  Menstrual cycle phase and single tablet antiretroviral medication adherence in women with HIV.

Authors:  Nancy A Hessol; Susan Holman; Howard Minkoff; Mardge H Cohen; Elizabeth T Golub; Seble Kassaye; Roksana Karim; Oluwakemi Sosanya; Christopher Shaheen; Zaher Merhi
Journal:  AIDS Care       Date:  2015-08-14

2.  Analysis of Antiretrovirals in Single Hair Strands for Evaluation of Drug Adherence with Infrared-Matrix-Assisted Laser Desorption Electrospray Ionization Mass Spectrometry Imaging.

Authors:  Elias P Rosen; Corbin G Thompson; Mark T Bokhart; Heather M A Prince; Craig Sykes; David C Muddiman; Angela D M Kashuba
Journal:  Anal Chem       Date:  2015-12-30       Impact factor: 6.986

3.  Development and validation of an assay to analyze atazanavir in human hair via liquid chromatography/tandem mass spectrometry.

Authors:  Nhi Phung; Karen Kuncze; Hideaki Okochi; Alexander Louie; Leslie Z Benet; Igho Ofokotun; David W Haas; Judith S Currier; Tariro D Chawana; Anandi N Sheth; Peter Bacchetti; Monica Gandhi; Howard Horng
Journal:  Rapid Commun Mass Spectrom       Date:  2018-03-15       Impact factor: 2.419

4.  Behavioral intervention improves treatment outcomes among HIV-infected individuals who have delayed, declined, or discontinued antiretroviral therapy: a randomized controlled trial of a novel intervention.

Authors:  Marya Gwadz; Charles M Cleland; Elizabeth Applegate; Mindy Belkin; Monica Gandhi; Nadim Salomon; Angela Banfield; Noelle Leonard; Marion Riedel; Hannah Wolfe; Isaiah Pickens; Kelly Bolger; DeShannon Bowens; David Perlman; Donna Mildvan
Journal:  AIDS Behav       Date:  2015-10

5.  Short communication: A low-cost method for analyzing nevirapine levels in hair as a marker of adherence in resource-limited settings.

Authors:  Monica Gandhi; Qiyun Yang; Peter Bacchetti; Yong Huang
Journal:  AIDS Res Hum Retroviruses       Date:  2013-11-22       Impact factor: 2.205

6.  Patient and clinician perspectives on optimizing graphical displays of longitudinal medication adherence data.

Authors:  Allison P Pack; Carol E Golin; Lauren M Hill; Jessica Carda-Auten; Deshira D Wallace; Sruthi Cherkur; Claire E Farel; Elias P Rosen; Monica Gandhi; Heather M Asher Prince; Angela D M Kashuba
Journal:  Patient Educ Couns       Date:  2019-01-02

7.  Simultaneous analysis of 11 medications for drug resistant TB in small hair samples to quantify adherence and exposure using a validated LC-MS/MS panel.

Authors:  Roy Gerona; Anita Wen; David Aguilar; Jamie Shum; Andrew Reckers; Peter Bacchetti; Monica Gandhi; John Metcalfe
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2019-07-23       Impact factor: 3.205

8.  Emerging antiretroviral drug resistance in sub-Saharan Africa: novel affordable technologies are needed to provide resistance testing for individual and public health benefits.

Authors:  Gert U van Zyl; Lisa M Frenkel; Michael H Chung; Wolfgang Preiser; John W Mellors; Jean B Nachega
Journal:  AIDS       Date:  2014-11-28       Impact factor: 4.177

9.  Assessment of HIV antiretroviral therapy adherence by measuring drug concentrations in hair among children in rural Uganda.

Authors:  Peter K Olds; Julius P Kiwanuka; Denis Nansera; Yong Huang; Peter Bacchetti; Chengshi Jin; Monica Gandhi; Jessica E Haberer
Journal:  AIDS Care       Date:  2014-12-06

10.  Genomewide association study of atazanavir pharmacokinetics and hyperbilirubinemia in AIDS Clinical Trials Group protocol A5202.

Authors:  Daniel H Johnson; Charles Venuto; Marylyn D Ritchie; Gene D Morse; Eric S Daar; Paul J McLaren; David W Haas
Journal:  Pharmacogenet Genomics       Date:  2014-04       Impact factor: 2.089

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.