Routine Antiretroviral Pharmacy Refill Information Can Predict Failure Postpartum in Previously Suppressed South African Women With HIV
Year: 2022
Type: article
Study design: Observational Study
Abstract: Background: Detection of antiretrovirals (ARVs) in biological specimens is a reliable, objective way to measure adherence. However, routine ARV testing is not feasible in many high-burden settings. This study explored if pharmacy data could accurately predict HIV viremia postpartum in previously virally suppressed women. Methods: South African women with HIV who initiated antiretroviral therapy (ART) during pregnancy and achieved viral suppression (VS; viral load [VL]≤50 copies/mL) were followed postpartum; during follow-up, plasma VL was measured and ARV adherence self-reported. A portion of samples were tested for the presence of ARV using mass spectrometry. Patient-level routine pharmacy data were used to classify if women should have the drug in hand for the past 7 days before the visit date. Logistic regressions were used to calculate associations between adherence and viral nonsuppression (VNS; VL > 50) or failure (VF; VL > 1000) at the first study visit of women who had ARV measured. Data for all women were examined for associations of self-reported adherence and drug in hand with VS and VF at 2, 6, and 12 months postpartum. Results: Women with no ARV detected were significantly more likely to have VNS (odds ratio [OR], 26.4). Having no drug in hand for 7 days was also predictive of VNS in these same women (OR, 7.0) and the full cohort (n = 572) at 3 (OR, 2.9), 6 (OR, 8.7), and 12 months (OR, 14.5). Similar results were seen for VF. Conclusions: These data show that routine pharmacy data can act as a highly predictive mechanism for identifying patients at risk of VNS and VF due to nonadherence.
Source: Open Forum Infectious Diseases
DOI: 10.1093/ofid/ofac483
Institutions: University of Cape Town, National Institutes of Health, Johns Hopkins University, Rakai Health Sciences Program, National Institute of Allergy and Infectious Diseases, National Health Laboratory Service, ICAP Global Health, Columbia University, Institute of Infectious Disease and Molecular Medicine
Language: English
Subfield: Infectious Diseases
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,676
OpenAlex ID: W4296780087
