Evidence map›Paper›PMID 26832737›Full record

ArticleBMC infectious diseases2016

Predictors of dropout from care among HIV-infected patients initiating antiretroviral therapy at a public sector HIV treatment clinic in sub-Saharan Africa.

Stephen B Asiimwe, Michael Kanyesigye, Bosco Bwana, Samson Okello, Winnie Muyindike

Abstract read
In one paragraph

Article in BMC infectious diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Stephen B AsiimweDepartment of Medicine, Mbarara Regional Referral Hospital, P.O Box 40, Mbarara, Uganda. asiimwesteve@gmail.com.
Michael KanyesigyeDepartment of Medicine, Mbarara Regional Referral Hospital, P.O Box 40, Mbarara, Uganda. mkanyesigye2010@gmail.com.
Bosco BwanaDepartment of Medicine, Mbarara University of Science and Technology, Mbarara, Uganda. mwebesa_bwana@yahoo.com.
Samson OkelloDepartment of Medicine, Mbarara University of Science and Technology, Mbarara, Uganda. okello.samson@must.ac.ug.
Winnie MuyindikeDepartment of Medicine, Mbarara Regional Referral Hospital, P.O Box 40, Mbarara, Uganda. wmuyindike@gmail.com.

Funding

Virology CoreP30AI027763 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MALLORY O JOHNSON · 1988 to 2026
$93.6M
NIAID NIH HHS P30 AI027763
6 · The paper itself

Abstract

backgroundIn sub-Saharan Africa (SSA), antiretroviral therapy (ART) can prolong life for HIV-infected patients. However, patients initiating ART, especially in routine treatment programs, commonly dropout from care either due to death or loss to follow-up.

methodsIn a cohort of HIV-infected patients initiating ART at a public sector clinic in Uganda, we assessed predictors of dropout from care (a composite outcome combining death and loss to follow-up). From a large set of socio-demographic, clinical, and laboratory variables routinely collected at ART initiation, we selected those predicting dropout at P <0.1 in unadjusted analyses for inclusion into a multivariable proportional hazards regression model. We then used a stepwise backward selection procedure to identify variables which independently predicted dropout at P <0.05.

resultsData from 5,057 patients were analyzed. The median age was 33 years (IQR 28 to 40) and 27.4% had CD4+ T-cell counts <100 cells/μL at ART initiation. The median duration of follow-up was 24 months (IQR = 14 to 42, maximum follow-up = 64 months). Overall dropout was 26.9% (established cumulative mortality = 2.3%, loss to follow-up = 24.6%), 5.6% were transferred to other service providers, and 67.5% were retained in care. A diagnosis of Kaposi's sarcoma (hazard ratio (HR) = 3.3, 95% CI 2.5 to 4.5); HIV-associated dementia (HR = 2.6, 95% CI 1.5 to 4.6); history of cryptococcosis (HR = 2.2, 95% CI 1.4 to 3.3); and reduced hemoglobin concentration (<11 g/dl versus ≥13.8 g/dl (HR = 1.9, 95% CI 1.6 to 2.2) were strong predictors of dropout. Other independent predictors of dropout were: year of ART initiation; weight loss ≥10%; reduced total lymphocyte count; chronic diarrhea; male sex; young age (≤28 years); and marital status.

conclusionsAmong HIV-infected patients initiating ART at a public sector clinic in SSA, biological factors that usually predict death were especially predictive of dropout. As most of the dropouts were lost to follow-up, this observation suggests that many losses to follow-up may have died. Future studies are needed to identify appropriate interventions that may improve both individual-level patient outcomes and outcome ascertainment among HIV-infected ART initiators in this setting.

Indexed as

AdultAfrica South of the SaharaAnti-HIV AgentsCD4-Positive T-LymphocytesCohort StudiesFemaleHIV InfectionsHumansLost to Follow-UpMalePatient DropoutsProportional Hazards ModelsPublic SectorAnti-HIV Agents

Identifiers

PMID26832737
PMCPMC4736127

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.