Literature DB >> 28825944

Brief Report: Lopinavir Hair Concentrations Are the Strongest Predictor of Viremia in HIV-Infected Asian Children and Adolescents on Second-Line Antiretroviral Therapy.

Jillian Pintye1, Peter Bacchetti, Sirinya Teeraananchai, Stephen Kerr, Wasana Prasitsuebsai, Thida Singtoroj, Karen Kuncze, Alexander Louie, Catherine A Koss, Chengshi Jin, Nhi Phung, Howard Horng, Annette H Sohn, Monica Gandhi.   

Abstract

BACKGROUND: Children/adolescents display suboptimal antiretroviral therapy (ART) adherence and outcomes versus adults. Hair ART concentrations are objective adherence measures that predict viremia in adults but longitudinal data on hair levels in pediatric populations is limited. We assessed the predictive utility of hair lopinavir (LPV) levels on viremia among youth on second-line ART.
METHODS: We examined predictors of viremia (HIV-1 RNA >400 and >1000 copies/mL) at least 24 weeks after switch to LPV-based second-line ART in a cohort of HIV-infected Asian children followed between 2011 and 2014. Small hair samples, HIV-1 RNA, and self-reported adherence were collected biannually. Hair concentrations of LPV were measured through liquid chromatography/tandem mass spectrometry using validated methods. Time-to-first viremia was examined using discrete-time Cox models.
RESULTS: Overall, 244 children met the inclusion criteria for the present analysis. Approximately half (55%) were boys and the median age 10 years [interquartile range (IQR) 7-13]; 40% were older than 11 years. At switch to second-line ART, median CD4 count was 300 (IQR 146-547) cells/mm and median HIV-RNA level was 5.0 (IQR 4.3-5.6) log10/mL. Median time of study follow-up was 48 weeks and a median of 3 (range 1-5) hair samples were collected from each participant. Adjusting for age, sex, country, self-reported adherence, CD4, and HIV-RNA, higher LPV hair concentrations were the strongest predictor of lower odds of viremia (HIV-RNA >400 copies/mL adjusted odds ratio = 0.41 per doubling in hair concentration, 95% confidence interval: 0.29 to 0.58, P < 0.001; HIV-RNA >1000 copies/mL, adjusted odds ratio = 0.54, 95% confidence interval: 0.45 to 0.65, P < 0.001).
CONCLUSIONS: Hair concentrations predict viremia among children with HIV on second-line ART and could guide clinical decisions for this population.

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Year:  2017        PMID: 28825944      PMCID: PMC5659884          DOI: 10.1097/QAI.0000000000001527

Source DB:  PubMed          Journal:  J Acquir Immune Defic Syndr        ISSN: 1525-4135            Impact factor:   3.731


  15 in total

1.  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

2.  Treatment Outcomes and Resistance Patterns of Children and Adolescents on Second-Line Antiretroviral Therapy in Asia.

Authors:  Wasana Prasitsuebsai; Sirinya Teeraananchai; Thida Singtoroj; Khanh Huu Truong; Jintanat Ananworanich; Viet Chau Do; Lam Van Nguyen; Pope Kosalaraksa; Nia Kurniati; Tavitiya Sudjaritruk; Kulkanya Chokephaibulkit; Stephen J Kerr; Annette H Sohn
Journal:  J Acquir Immune Defic Syndr       Date:  2016-08-01       Impact factor: 3.731

3.  Comparative dispositions of ofloxacin in human head, axillary, and pubic hairs.

Authors:  K Kosuge; T Uematsu; S I Araki; H Matsuno; K Ohashi; M Nakashima
Journal:  Antimicrob Agents Chemother       Date:  1998-05       Impact factor: 5.191

4.  Low lopinavir plasma or hair concentrations explain second-line protease inhibitor failures in a resource-limited setting.

Authors:  Gert Uves van Zyl; Thijs E van Mens; Helen McIlleron; Michele Zeier; Jean B Nachega; Eric Decloedt; Carolina Malavazzi; Peter Smith; Yong Huang; Lize van der Merwe; Monica Gandhi; Gary Maartens
Journal:  J Acquir Immune Defic Syndr       Date:  2011-04       Impact factor: 3.731

Review 5.  Bioanalytical issues in patient-friendly sampling methods for therapeutic drug monitoring: focus on antiretroviral drugs.

Authors:  R ter Heine; J H Beijnen; A D R Huitema
Journal:  Bioanalysis       Date:  2009-10       Impact factor: 2.681

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

Authors:  Monica Gandhi; 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
Journal:  Clin Infect Dis       Date:  2011-05       Impact factor: 9.079

7.  Hair concentrations of antiretrovirals predict viral suppression in HIV-infected pregnant and breastfeeding Ugandan women.

Authors:  Catherine A Koss; Paul Natureeba; Julia Mwesigwa; Deborah Cohan; Bridget Nzarubara; Peter Bacchetti; Howard Horng; Tamara D Clark; Albert Plenty; Theodore D Ruel; Jane Achan; Edwin D Charlebois; Moses R Kamya; Diane V Havlir; Monica Gandhi
Journal:  AIDS       Date:  2015-04-24       Impact factor: 4.177

8.  Measuring adherence to antiretroviral therapy in a diverse population using a visual analogue scale.

Authors:  Thomas P Giordano; David Guzman; Richard Clark; Edwin D Charlebois; David R Bangsberg
Journal:  HIV Clin Trials       Date:  2004 Mar-Apr

9.  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

Review 10.  Antiretroviral treatment, management challenges and outcomes in perinatally HIV-infected adolescents.

Authors:  Allison L Agwu; Lee Fairlie
Journal:  J Int AIDS Soc       Date:  2013-06-18       Impact factor: 5.396

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  15 in total

1.  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

Review 2.  Approaches to Objectively Measure Antiretroviral Medication Adherence and Drive Adherence Interventions.

Authors:  Matthew A Spinelli; Jessica E Haberer; Peter R Chai; Jose Castillo-Mancilla; Peter L Anderson; Monica Gandhi
Journal:  Curr HIV/AIDS Rep       Date:  2020-08       Impact factor: 5.071

3.  Tenofovir concentrations in hair strongly predict virologic suppression in breastfeeding women.

Authors:  Pamela M Murnane; Peter Bacchetti; Judith S Currier; Sean Brummel; Hideaki Okochi; Nhi Phung; Alexander Louie; Karen Kuncze; Risa M Hoffman; Teacler Nematadzira; Dean K Soko; Maxensia Owor; Friday Saidi; Patricia M Flynn; Mary G Fowler; Monica Gandhi
Journal:  AIDS       Date:  2019-08-01       Impact factor: 4.177

4.  Antiretroviral drug concentrations in hair are associated with virologic outcomes among young people living with HIV in Tanzania.

Authors:  Zachary J Tabb; Blandina T Mmbaga; Monica Gandhi; Alexander Louie; Karen Kuncze; Hideaki Okochi; Aisa M Shayo; Elizabeth L Turner; Coleen K Cunningham; Dorothy E Dow
Journal:  AIDS       Date:  2018-06-01       Impact factor: 4.177

5.  Antiretroviral Concentration in Hair as a Measure for Antiretroviral Medication Adherence: A Systematic Review of Global Literature.

Authors:  Quan Zhang; Shan Qiao; Xueying Yang; Xiaoming Li
Journal:  AIDS Behav       Date:  2020-01

6.  Measuring Adherence to Antiretroviral Therapy via Hair Concentrations in India.

Authors:  Monica Gandhi; Sarita Devi; Peter Bacchetti; Sara Chandy; Elsa Heylen; Nhi Phung; Karen Kuncze; Hideaki Okochi; Ravi Kumar; Anura V Kurpad; Maria L Ekstrand
Journal:  J Acquir Immune Defic Syndr       Date:  2019-06-01       Impact factor: 3.731

Review 7.  Adherence Measurements in HIV: New Advancements in Pharmacologic Methods and Real-Time Monitoring.

Authors:  Jose R Castillo-Mancilla; Jessica E Haberer
Journal:  Curr HIV/AIDS Rep       Date:  2018-02       Impact factor: 5.071

8.  Antiretroviral Concentrations in Hair Strongly Predict Virologic Response in a Large Human Immunodeficiency Virus Treatment-naive Clinical Trial.

Authors:  Monica Gandhi; Peter Bacchetti; Igho Ofokotun; Chengshi Jin; Heather J Ribaudo; David W Haas; Anandi N Sheth; Howard Horng; Nhi Phung; Karen Kuncze; Hideaki Okochi; Raphael J Landovitz; Jeffrey Lennox; Judith S Currier
Journal:  Clin Infect Dis       Date:  2019-03-05       Impact factor: 9.079

9.  Social Support Mitigates Negative Impact of Food Insecurity on Antiretroviral Adherence Among Postpartum Women in Western Kenya.

Authors:  Mira Wang; Joshua D Miller; Shalean M Collins; Marianne V Santoso; Pauline Wekesa; Hideaki Okochi; Maricianah Onono; Sheri Weiser; Monica Gandhi; Sera L Young
Journal:  AIDS Behav       Date:  2020-10

10.  Antiretroviral hair levels, self-reported adherence, and virologic failure in second-line regimen patients in resource-limited settings.

Authors:  Tanakorn Apornpong; Beatriz Grinsztejn; Michael Hughes; Justin Ritz; Stephen J Kerr; Courtney V Fletcher; Kiat Ruxrungtham; Catherine Godfrey; Robert Gross; Evelyn Hogg; Carole L Wallis; Sharlaa Badal-Faesen; Mina C Hosseinipour; Rosie Mngqbisa; Breno R Santos; Sarita Shah; Laura J Hovind; Sajeeda Mawlana; Marije Van Schalkwyk; Nuntisa Chotirosniramit; Cecilia Kanyama; Nagalingeswaran Kumarasamy; Robert Salata; Ann C Collier; Monica Gandhi
Journal:  AIDS       Date:  2021-07-15       Impact factor: 4.632

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