ArticleOpen forum infectious diseases2014
Time-Dependent Predictors of Loss to Follow-Up in a Large HIV Treatment Cohort in Nigeria.
Article in Open forum infectious diseases, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 3 of them syntheses that pooled it.
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Who cites it
38 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Incidence and predictors of loss to follow-up among adults on antiretroviral therapy in Ethiopia: a systematic review and meta-analysis of cohort studies.AIDS research and therapy · 2026Pooled it
- Retention in Care Among People Living with HIV in Nigeria: A Systematic Review and Meta-analysis.Journal of research in health sciences · 2024Pooled it
- Predictors of lost to follow up from antiretroviral therapy among adults in sub-Saharan Africa: a systematic review and meta-analysis.Infectious diseases of poverty · 2021Pooled it
- Prevalence, trend and risk factors for antiretroviral therapy discontinuation among HIV-infected adults in Ethiopia in 2003-2015.PloS one · 2017Trial
- Article
- Time-dependent predictors of loss to follow-up in HIV care in low-resource settings: A competing risks approach.PloS one · 2025Article
- Antiretroviral therapy retention, adherence, and clinical outcomes among postpartum women with HIV in Nigeria.PloS one · 2024Article
- Time to lost to follow-up and its predictors among adult patients receiving antiretroviral therapy retrospective follow-up study Amhara Northwest Ethiopia.Scientific reports · 2022Article
- Observational
- Article
- Incidence and predictors of early loss to follow up among patients initiated on protease inhibitor-based second-line antiretroviral therapy in southwestern Uganda.AIDS research and therapy · 2021Article
- Predictors of Loss to Follow-Up among HIV-Infected Adults after Initiation of the First-Line Antiretroviral Therapy at Arba Minch General Hospital, Southern Ethiopia: A 5-Year Retrospective Cohort Study.BioMed research international · 2021Article
- Prospective assessment of loss to follow-up: incidence and associated factors in a cohort of HIV-positive adults in rural Tanzania.Journal of the International AIDS Society · 2020Article
- Article
- Social barriers in accessing care by clients who returned to HIV care after transient loss to follow-up.AIDS research and therapy · 2019Article
- Long-term loss to follow-up in the TREAT Asia HIV Observational Database (TAHOD).HIV medicine · 2019Observational
- Programmatic outcomes and impact of rapid public sector antiretroviral therapy expansion in adults prior to introduction of the WHO treat-all approach in rural Eswatini.Tropical medicine & international health : TM & IH · 2019Article
- Predictors associated with HIV/AIDS patients dropout from antiretroviral therapy at Mettu Karl Hospital, southwest Ethiopia.BMC research notes · 2019Article
- Status of HIV-infected patients classified as lost to follow up from a large antiretroviral program in southwest Nigeria.PloS one · 2019Article
- Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMost evaluations of loss to follow-up (LTFU) in human immunodeficiency virus (HIV) treatment programs focus on baseline predictors, prior to antiretroviral therapy (ART) initiation. As risk of LTFU is a continuous issue, the aim of this evaluation was to augment existing information with further examination of time-dependent predictors of loss.
methodsThis was a retrospective evaluation of data collected between 2004 and 2012 by the Harvard School of Public Health and the AIDS Prevention Initiative in Nigeria as part of PEPFAR-funded program in Nigeria. We used multivariate modeling methods to examine associations between CD4(+) cell counts, viral load, and early adherence patterns with LTFU, defined as no refills collected for at least 2 months since the last scheduled appointment.
resultsOf 51 953 patients initiated on ART between 2004 and 2011, 14 626 (28%) were LTFU by 2012. Factors associated with increased risk for LTFU were young age, having nonincome-generating occupations or no education, being unmarried, World Health Organization (WHO) stage, having a detectable viral load, and lower CD4(+) cell counts. In a subset analysis, adherence patterns during the first 3 months of ART were associated with risk of LTFU by month 12.
conclusionsIn settings with limited resources, early adherence patterns, as well as CD4(+) cell counts and unsuppressed viral load, at any time point in treatment are predictive of loss and serve as effective markers for developing targeted interventions to reduce rates of attrition.
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