التفاصيل البيبلوغرافية
| العنوان: |
Routine Antiretroviral Pharmacy Refill Information Can Predict Failure Postpartum in Previously Suppressed South African Women With HIV. |
| المؤلفون: |
Gawler, Nicola, Reynolds, Steven J, Hsiao, Nei-Yuan, Clarke, William, Maartens, Gary, Abrams, Elaine J, Myer, Landon, Redd, Andrew D, Phillips, Tamsin K |
| المصدر: |
Open Forum Infectious Diseases; Oct2022, Vol. 9 Issue 10, p1-5, 5p |
| مصطلحات موضوعية: |
SOUTH Africans, PHARMACY, HIV, PUERPERIUM, VIRAL load |
| مصطلحات جغرافية: |
SOUTH Africa |
| مستخلص: |
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. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
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