Depression: an individual-level early warning indicator of virologic failure in HIV patients in South Africa.

mental health risk factors treatment failure viral load

Journal

Public health action
ISSN: 2220-8372
Titre abrégé: Public Health Action
Pays: France
ID NLM: 101624961

Informations de publication

Date de publication:
Jun 2024
Historique:
received: 10 04 2024
accepted: 03 05 2024
medline: 3 7 2024
pubmed: 3 7 2024
entrez: 3 7 2024
Statut: epublish

Résumé

To identify individual-level early warning indicators of virologic failure in HIV patients receiving antiretroviral therapy (ART) in South Africa. A matched case-control study of individuals with and without virologic failure (VF) (>5 months on ART and HIV-1 plasma viral load >1,000 copies/mL) was conducted between June 2014 and June 2018. Of the 1,000 participants enrolled in the parent cohort, 96 experienced VF, and 199 additional controls were identified from the parent cohort and matched 1:2 (some matched 1:3) for sex, age, ART duration, and site. Participants were interviewed while clinical, pharmacy refill, laboratory, and objective pharmacological data were obtained. Multivariate conditional logistic regression models were constructed using model selection to identify factors associated with VF. Significant determinants of VF were identified using an alpha level of 0.05. In a full conditional model, higher cumulative ART adherence, quantified using tenofovir-diphosphate concentrations in dried blood spots (OR 0.26) and medication possession ratio (OR 0.98) were protective against VF, whereas an increase in total depression score (OR 1.20) was predictive of VF. This analysis demonstrates the importance of depression as a key individual-level early warning indicator of VF. Efforts to address mental health concerns among patients with people living with HIV could improve virologic suppression. Identifier les indicateurs d'alerte précoce au niveau individuel de l'échec virologique chez les patients séropositifs recevant un traitement antirétroviral (TAR) en Afrique du Sud. Une étude cas-témoins appariée de personnes avec et sans échec virologique (FV, pour l’anglais « Dans un modèle conditionnel complet, une observance cumulative plus élevée du TAR, quantifiée à l'aide des concentrations de ténofovir-diphosphate dans les gouttes de sang séché (OR 0,26) et du ratio de possession de médicaments (OR 0,98) protégeait contre la FV, tandis qu'une augmentation du score de dépression totale (OR 1,20) était prédictive de la FV. Cette analyse démontre l'importance de la dépression en tant qu'indicateur précoce clé au niveau individuel de la FV. Les efforts visant à résoudre les problèmes de santé mentale chez les personnes vivant avec le VIH pourraient améliorer la suppression virologique.

Autres résumés

Type: Publisher (fre)
Identifier les indicateurs d'alerte précoce au niveau individuel de l'échec virologique chez les patients séropositifs recevant un traitement antirétroviral (TAR) en Afrique du Sud.

Identifiants

pubmed: 38957503
doi: 10.5588/pha.24.0017
pii: 0017
pmc: PMC11216289
doi:

Types de publication

Journal Article

Langues

eng

Pagination

76-81

Informations de copyright

© 2024 The Authors.

Déclaration de conflit d'intérêts

Conflict of interest: The author VCM has received investigator-initiated research grants (to the institution) and consultation fees (both unrelated to the current work) from Eli Lilly (Indianapolis, IN, USA), Bayer (Leverkusen, Germany), Gilead Sciences (Foster City, CA, USA), and ViiV (Brentford, UK). DRK has received consulting honoraria AbbVie, Gilead, GlaxoSmithKline (Brentford, UK), Janssen (Beerse, Belgium), Merck (Rahway, NJ, USA) Roche (Basel, Switzerland), and ViiV; research support from Gilead, Merck, and ViiV; and speaking fees from Gilead and Janssen.

Auteurs

J A Edwards (JA)

Department of Biostatistics and Bioinformatics Rollins School of Public Health, Emory University, Atlanta, GA, USA.
University of Lincoln School of Health and Science, Lincoln, UK.

J Brijkumar (J)

Nelson R. Mandela School of Medicine, University of KwaZulu-Natal, Durban, KwaZulu-Natal, South Africa.

M Dudgeon (M)

Department of Medicine, Emory University School of Medicine, Atlanta, GA.

C Robichaux (C)

Department of Biomedical Informatics, Emory University School of Medicine, Atlanta, GA.

B Johnson (B)

Department of Biostatistics and Computation Biology, University of Rochester, Rochester, NY, USA.

L Rautman (L)

Infectious Disease Epidemiology, Bernhard-Nocht Institute for Tropical Medicine, Hamburg, Germany.

R A Powers (RA)

Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA.
Department of Epidemiology, Rollins School of Public Health, Atlanta, GA, USA.

Y V Sun (YV)

Department of Epidemiology, Rollins School of Public Health, Atlanta, GA, USA.

S Pillay (S)

Nelson R. Mandela School of Medicine, University of KwaZulu-Natal, Durban, KwaZulu-Natal, South Africa.
Adrenergy Research Innovations, Durban, KwaZulu-Natal, South Africa.

C Ordonez (C)

Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA.

J Castillo-Mancilla (J)

Division of Infectious Diseases, Department of Medicine, University of Colorado, Aurora, CO, USA.

F C Tanser (FC)

Centre for Epidemic Response and Innovation, School for Data Science and Computational Thinking, Stellenbosch University, Stellenbosch.
Africa Health Research Institute, KwaZulu-Natal.

Z Asghar (Z)

University of Lincoln School of Health and Science, Lincoln, UK.

P Mee (P)

University of Lincoln School of Health and Science, Lincoln, UK.

P Moodley (P)

Department of Virology, National Health Laboratory Service and School of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal Durban, South Africa.

H Sunpath (H)

Nelson R. Mandela School of Medicine, University of KwaZulu-Natal, Durban, KwaZulu-Natal, South Africa.

D R Kuritzkes (DR)

Division of Infectious Diseases, Brigham and Women's Hospital, Boston, MA.
Department of Medicine, Harvard Medical School, Boston, MA, USA.

V C Marconi (VC)

Department of Medicine, Emory University School of Medicine, Atlanta, GA.
Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA.

M-Y S Moosa (MS)

Nelson R. Mandela School of Medicine, University of KwaZulu-Natal, Durban, KwaZulu-Natal, South Africa.

Classifications MeSH