Risk factors for unstructured treatment interruptions and association with survival in low to middle income countries
| dc.contributor.author | McMahon, James H | |
| dc.contributor.author | Spelman, Tim | |
| dc.contributor.author | Ford, Nathan | |
| dc.contributor.author | Greig, Jane | |
| dc.contributor.author | Mesic, Anita | |
| dc.contributor.author | Ssonko, Charles | |
| dc.contributor.author | Casas, Esther C | |
| dc.contributor.author | O’Brien, Daniel P | |
| dc.date.accessioned | 2021-10-08T11:00:53Z | |
| dc.date.available | 2021-10-08T11:00:53Z | |
| dc.date.issued | 2016 | |
| dc.description.abstract | Abstract 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. | |
| dc.identifier.apacitation | McMahon, J. H., Spelman, T., Ford, N., Greig, J., Mesic, A., Ssonko, C., ... (2016). Risk factors for unstructured treatment interruptions and association with survival in low to middle income countries. <i>AIDS Research and Therapy</i>, 13(1), 174 - 177. http://hdl.handle.net/11427/35041 | en_ZA |
| dc.identifier.chicagocitation | McMahon, James H, Tim Spelman, Nathan Ford, Jane Greig, Anita Mesic, Charles Ssonko, Esther C Casas, and "Risk factors for unstructured treatment interruptions and association with survival in low to middle income countries." <i>AIDS Research and Therapy</i> 13, 1. (2016): 174 - 177. http://hdl.handle.net/11427/35041 | en_ZA |
| dc.identifier.citation | McMahon, J.H., Spelman, T., Ford, N., Greig, J., Mesic, A., Ssonko, C., Casas, E.C. & et al. 2016. Risk factors for unstructured treatment interruptions and association with survival in low to middle income countries. <i>AIDS Research and Therapy.</i> 13(1):174 - 177. http://hdl.handle.net/11427/35041 | en_ZA |
| dc.identifier.issn | 1742-6405 | |
| dc.identifier.ris | TY - Journal Article AU - McMahon, James H AU - Spelman, Tim AU - Ford, Nathan AU - Greig, Jane AU - Mesic, Anita AU - Ssonko, Charles AU - Casas, Esther C AU - O’Brien, Daniel P AB - Abstract 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. DA - 2016 DB - OpenUCT DP - University of Cape Town IS - 1 J1 - AIDS Research and Therapy LK - https://open.uct.ac.za PY - 2016 SM - 1742-6405 T1 - Risk factors for unstructured treatment interruptions and association with survival in low to middle income countries TI - Risk factors for unstructured treatment interruptions and association with survival in low to middle income countries UR - http://hdl.handle.net/11427/35041 ER - | en_ZA |
| dc.identifier.uri | http://hdl.handle.net/11427/35041 | |
| dc.identifier.vancouvercitation | McMahon JH, Spelman T, Ford N, Greig J, Mesic A, Ssonko C, et al. Risk factors for unstructured treatment interruptions and association with survival in low to middle income countries. AIDS Research and Therapy. 2016;13(1):174 - 177. http://hdl.handle.net/11427/35041. | en_ZA |
| dc.language.iso | eng | |
| dc.publisher.department | Institute of Infectious Disease and Molecular Medicine | |
| dc.publisher.faculty | Faculty of Health Sciences | |
| dc.source | AIDS Research and Therapy | |
| dc.source.journalissue | 1 | |
| dc.source.journalvolume | 13 | |
| dc.source.pagination | 174 - 177 | |
| dc.source.uri | https://dx.doi.org/10.1186/s12981-016-0109-8 | |
| dc.subject.other | Antiretroviral therapy | |
| dc.subject.other | Clinical outcomes | |
| dc.subject.other | Epidemiology | |
| dc.subject.other | Resource limited settings | |
| dc.subject.other | Survival | |
| dc.subject.other | Unstructured treatment interruption | |
| dc.subject.other | Adult | |
| dc.subject.other | Africa | |
| dc.subject.other | Age Factors | |
| dc.subject.other | Anti-HIV Agents | |
| dc.subject.other | Asia | |
| dc.subject.other | CD4 Lymphocyte Count | |
| dc.subject.other | Developing Countries | |
| dc.subject.other | Female | |
| dc.subject.other | HIV Infections | |
| dc.subject.other | Humans | |
| dc.subject.other | Male | |
| dc.subject.other | Medication Adherence | |
| dc.subject.other | Middle Aged | |
| dc.subject.other | Proportional Hazards Models | |
| dc.subject.other | Risk Factors | |
| dc.subject.other | Sex Factors | |
| dc.subject.other | Time Factors | |
| dc.subject.other | Young Adult | |
| dc.subject.other | Anti-HIV Agents | |
| dc.title | Risk factors for unstructured treatment interruptions and association with survival in low to middle income countries | |
| dc.type | Journal Article | |
| uct.type.publication | Research | |
| uct.type.resource | Journal Article |
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