Agreement Between Measures of Adherence to Isoniazid Preventive Therapy Among People With HIV in Uganda.

PWH adherence measures isoniazid preventive therapy

Journal

Open forum infectious diseases
ISSN: 2328-8957
Titre abrégé: Open Forum Infect Dis
Pays: United States
ID NLM: 101637045

Informations de publication

Date de publication:
Oct 2022
Historique:
received: 09 08 2022
accepted: 30 09 2022
entrez: 2 11 2022
pubmed: 3 11 2022
medline: 3 11 2022
Statut: epublish

Résumé

Isoniazid (INH) preventative therapy is recommended for people with HIV (PWH) in resource-constrained settings. Valid measures are needed to assess adherence. We aimed to examine agreement between measures overall and by level of social desirability. PWH with latent tuberculosis (TB) were recruited in Mbarara, Uganda. Past 30-day adherence was measured by the number of days with pill bottle openings using a medication event monitoring system (MEMS) and self-reported number of days pills taken. INH concentration (INH plus acetyl INH and their ratio) in hair samples was measured. We used Bland-Altman plots to examine agreement between adherence measures and calculated the area under the receiver operating characteristics curve (AUROC) to determine if INH hair concentration predicted optimal MEMS-measured adherence (≥90%). A total of 301 participants enrolled; 92% were virologically suppressed, and adherence was high. The median (interquartile range [IQR]) number of pill bottle openings in 30 days was 28 (24-30) compared with 30 (28-30) via self-report. The median INH concentration (IQR) was 36.2 (17.2-62.4), and the INH:acetyl ratio was 2.43 (0.99-3.92). Agreement between self-reported and MEMS adherence was greater at more optimal adherence levels. INH:acetyl INH ratio was not predictive of optimal adherence according to MEMS (AUROC, 0.62; 95% CI, 0.52-0.72) in a subset (n = 161). Lower MEMS adherence levels compared with self-report suggest the need for objective adherence measures. Biologic measures have potential, although in this study INH concentration was not predictive of MEMS measured adherence. More data are needed to assess the accuracy of biologic measures.

Sections du résumé

Background UNASSIGNED
Isoniazid (INH) preventative therapy is recommended for people with HIV (PWH) in resource-constrained settings. Valid measures are needed to assess adherence. We aimed to examine agreement between measures overall and by level of social desirability.
Methods UNASSIGNED
PWH with latent tuberculosis (TB) were recruited in Mbarara, Uganda. Past 30-day adherence was measured by the number of days with pill bottle openings using a medication event monitoring system (MEMS) and self-reported number of days pills taken. INH concentration (INH plus acetyl INH and their ratio) in hair samples was measured. We used Bland-Altman plots to examine agreement between adherence measures and calculated the area under the receiver operating characteristics curve (AUROC) to determine if INH hair concentration predicted optimal MEMS-measured adherence (≥90%).
Results UNASSIGNED
A total of 301 participants enrolled; 92% were virologically suppressed, and adherence was high. The median (interquartile range [IQR]) number of pill bottle openings in 30 days was 28 (24-30) compared with 30 (28-30) via self-report. The median INH concentration (IQR) was 36.2 (17.2-62.4), and the INH:acetyl ratio was 2.43 (0.99-3.92). Agreement between self-reported and MEMS adherence was greater at more optimal adherence levels. INH:acetyl INH ratio was not predictive of optimal adherence according to MEMS (AUROC, 0.62; 95% CI, 0.52-0.72) in a subset (n = 161).
Conclusions UNASSIGNED
Lower MEMS adherence levels compared with self-report suggest the need for objective adherence measures. Biologic measures have potential, although in this study INH concentration was not predictive of MEMS measured adherence. More data are needed to assess the accuracy of biologic measures.

Identifiants

pubmed: 36320196
doi: 10.1093/ofid/ofac516
pii: ofac516
pmc: PMC9605696
doi:

Types de publication

Journal Article

Langues

eng

Pagination

ofac516

Informations de copyright

© The Author(s) 2022. Published by Oxford University Press on behalf of Infectious Diseases Society of America.

Déclaration de conflit d'intérêts

Potential conflicts of interest. All authors: no reported conflicts of interest. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed.

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Auteurs

Leah S Forman (LS)

Biostatistics and Epidemiology Data Analytics Center, Boston University School of Public Health, Boston, Massachusetts, USA.

Sara Lodi (S)

Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA.

Robin Fatch (R)

Department of Medicine, University of California, San Francisco, San Francisco, California, USA.

Nneka I Emenyonu (NI)

Department of Medicine, University of California, San Francisco, San Francisco, California, USA.

Julian Adong (J)

Faculty of Medicine, Mbarara University of Science and Technology, Mbarara, Uganda.

Christine Ngabirano (C)

Faculty of Medicine, Mbarara University of Science and Technology, Mbarara, Uganda.

Karen R Jacobson (KR)

Section of Infectious Diseases, School of Medicine and Boston Medical Center, Boston University, Boston, Massachusetts, USA.

Roy Gerona (R)

Department of Obstetrics and Gynecology, University of California, San Francisco, San Francisco, California, USA.

Andrew R Reckers (AR)

Department of Obstetrics and Gynecology, University of California, San Francisco, San Francisco, California, USA.

Monica Gandhi (M)

Department of Medicine, University of California, San Francisco, San Francisco, California, USA.

Winnie R Muyindike (WR)

Faculty of Medicine, Mbarara University of Science and Technology, Mbarara, Uganda.

Judith A Hahn (JA)

Department of Medicine, University of California, San Francisco, San Francisco, California, USA.

Classifications MeSH