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Risk factors for unstructured treatment interruptions and association with survival in low to middle income countries

BACKGROUND: Antiretroviral therapy (ART) treatment interruptions lead to poor clinical outcomes with unplanned or unstructured TIs (uTIs) likely to be underreported. This study describes; uTIs, their risk factors and association with survival. METHODS: Analysis of ART programmatic data from 11 count...

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Autores principales: McMahon, James H., Spelman, Tim, Ford, Nathan, Greig, Jane, Mesic, Anita, Ssonko, Charles, Casas, Esther C., O’Brien, Daniel P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4940870/
https://www.ncbi.nlm.nih.gov/pubmed/27408611
http://dx.doi.org/10.1186/s12981-016-0109-8
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author McMahon, James H.
Spelman, Tim
Ford, Nathan
Greig, Jane
Mesic, Anita
Ssonko, Charles
Casas, Esther C.
O’Brien, Daniel P.
author_facet McMahon, James H.
Spelman, Tim
Ford, Nathan
Greig, Jane
Mesic, Anita
Ssonko, Charles
Casas, Esther C.
O’Brien, Daniel P.
author_sort McMahon, James H.
collection PubMed
description BACKGROUND: Antiretroviral therapy (ART) treatment interruptions lead to poor clinical outcomes with unplanned or unstructured TIs (uTIs) likely to be underreported. This study describes; uTIs, their risk factors and association with survival. METHODS: Analysis of ART programmatic data from 11 countries across Asia and Africa between 2003 and 2013 where an uTI was defined as a ≥90-day patient initiated break from ART calculated from the last day the previous ART prescription would have run out until the date of the next ART prescription. Factors predicting uTI were assessed with a conditional risk-set multiple failure time-to-event model to account for repeated events per subject. Association between uTI and mortality was assessed using Cox proportional hazards, with a competing risks extension to test for the influence of lost to follow-up (LTFU). RESULTS: 40,632 patients were included from 11 countries across 33 sites (17 Africa, 16 Asia). Median duration of follow-up was 1.61 years (IQR 0.54–3.31 years), 3386 (8.3 %) patients died, and 3453 (8.5 %) were LTFU. There were 14,817 uTIs, with 10,162 (25 %) patients having more than one uTI. In the adjusted model males were at lower risk of uTI (aHR 0.94, p < 0.01, and age 20–59 was protective compared to <20 years (20–39 years aHR 0.87, p < 0.01; 40–59 years aHR 0.86, p < 0.01). Preserved immune function, as measured by higher CD4 cell count, was associated with a reduced rate of uTI compared to CD4 <200 cells/μL (CD4 200–350 cells/μL aHR 0.89, p < 0.01; CD4 >350 cells/μL aHR 0.87, p < 0.01), whereas advanced clinical disease was associated with increased uTI rate (WHO stage 3 aHR 1.10, p < 0.01; WHO stage 4 aHR 1.21, p < 0.01). There was no relationship between uTI and mortality after adjusting for disease status and considering LTFU as a competing risk. CONCLUSIONS: uTIs were frequent in people in ART programs in low-middle income countries and associated with younger age, female gender and advanced HIV. uTI did not predict survival when loss to follow-up was considered a competing risk. Further evaluation of uTI predictors and interventions to reduce their occurrence is warranted.
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spelling pubmed-49408702016-07-13 Risk factors for unstructured treatment interruptions and association with survival in low to middle income countries McMahon, James H. Spelman, Tim Ford, Nathan Greig, Jane Mesic, Anita Ssonko, Charles Casas, Esther C. O’Brien, Daniel P. AIDS Res Ther Research BACKGROUND: Antiretroviral therapy (ART) treatment interruptions lead to poor clinical outcomes with unplanned or unstructured TIs (uTIs) likely to be underreported. This study describes; uTIs, their risk factors and association with survival. METHODS: Analysis of ART programmatic data from 11 countries across Asia and Africa between 2003 and 2013 where an uTI was defined as a ≥90-day patient initiated break from ART calculated from the last day the previous ART prescription would have run out until the date of the next ART prescription. Factors predicting uTI were assessed with a conditional risk-set multiple failure time-to-event model to account for repeated events per subject. Association between uTI and mortality was assessed using Cox proportional hazards, with a competing risks extension to test for the influence of lost to follow-up (LTFU). RESULTS: 40,632 patients were included from 11 countries across 33 sites (17 Africa, 16 Asia). Median duration of follow-up was 1.61 years (IQR 0.54–3.31 years), 3386 (8.3 %) patients died, and 3453 (8.5 %) were LTFU. There were 14,817 uTIs, with 10,162 (25 %) patients having more than one uTI. In the adjusted model males were at lower risk of uTI (aHR 0.94, p < 0.01, and age 20–59 was protective compared to <20 years (20–39 years aHR 0.87, p < 0.01; 40–59 years aHR 0.86, p < 0.01). Preserved immune function, as measured by higher CD4 cell count, was associated with a reduced rate of uTI compared to CD4 <200 cells/μL (CD4 200–350 cells/μL aHR 0.89, p < 0.01; CD4 >350 cells/μL aHR 0.87, p < 0.01), whereas advanced clinical disease was associated with increased uTI rate (WHO stage 3 aHR 1.10, p < 0.01; WHO stage 4 aHR 1.21, p < 0.01). There was no relationship between uTI and mortality after adjusting for disease status and considering LTFU as a competing risk. CONCLUSIONS: uTIs were frequent in people in ART programs in low-middle income countries and associated with younger age, female gender and advanced HIV. uTI did not predict survival when loss to follow-up was considered a competing risk. Further evaluation of uTI predictors and interventions to reduce their occurrence is warranted. BioMed Central 2016-07-11 /pmc/articles/PMC4940870/ /pubmed/27408611 http://dx.doi.org/10.1186/s12981-016-0109-8 Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
McMahon, James H.
Spelman, Tim
Ford, Nathan
Greig, Jane
Mesic, Anita
Ssonko, Charles
Casas, Esther C.
O’Brien, Daniel P.
Risk factors for unstructured treatment interruptions and association with survival in low to middle income countries
title Risk factors for unstructured treatment interruptions and association with survival in low to middle income countries
title_full Risk factors for unstructured treatment interruptions and association with survival in low to middle income countries
title_fullStr Risk factors for unstructured treatment interruptions and association with survival in low to middle income countries
title_full_unstemmed Risk factors for unstructured treatment interruptions and association with survival in low to middle income countries
title_short Risk factors for unstructured treatment interruptions and association with survival in low to middle income countries
title_sort risk factors for unstructured treatment interruptions and association with survival in low to middle income countries
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4940870/
https://www.ncbi.nlm.nih.gov/pubmed/27408611
http://dx.doi.org/10.1186/s12981-016-0109-8
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