Evidence map›Paper›PMID 27026338›Full record

ArticleBMC public health2016

Social and clinical attributes of patients who restart antiretroviral therapy in central and Copperbelt provinces, Zambia: a retrospective longitudinal study.

Chama Mulubwa, Oliver Mweemba, Patrick Katayamoyo, Hikabasa Halwindi

Abstract read
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Article in BMC public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Chama MulubwaDepartment of Public Health, School of Medicine, University of Zambia, PO Box 50110, Lusaka, Zambia. cmulubwa@hotmail.com.
Oliver MweembaDepartment of Public Health, School of Medicine, University of Zambia, PO Box 50110, Lusaka, Zambia.
Patrick KatayamoyoFHI 360, Plot 2374, Farmers Village, ZNFU Complex, Lusaka, Zambia.
Hikabasa HalwindiDepartment of Public Health, School of Medicine, University of Zambia, PO Box 50110, Lusaka, Zambia.

Funding

Programmatic: Expanding Innovative Multidisciplinary Medical Education in ZambiaR24TW008873 · FIC · UNIVERSITY OF ZAMBIA · PI MULLA, YAKUB F · 2010 to 2015
$9.0M
FIC NIH HHS 1R24TW008873FIC NIH HHS R24 TW008873Wellcome Trust 2711000
6 · The paper itself

Abstract

backgroundAbout 30% of the patients initiated on antiretroviral therapy in Zambia default treatment. Some of these patients later restart treatment; however, the characteristics of these patients have not been well described and documented. The aim of this study was to describe and document the socio-demographic and clinical characteristics of patients who default and restart antiretroviral therapy, and to determine the socio-demographic characteristics associated with CD4 count response at 6 and 24 months of restarting antiretroviral therapy.

methodsA longitudinal retrospective analysis was performed on data from 535 adult patients restarting antiretroviral therapy in 2009 and 2010 at five antiretroviral therapy centres in Copperbelt and Central provinces of Zambia. To determine the association between the socio-demographic characteristics and CD4 cell count, quantile regression models were used.

resultsOlder age above 45 years was associated with a significantly lower CD4 cell response by 38.1 cells/mm(3) (95% Confidence interval [CI]: -109.4 to -0.2) compared to the younger age (15-29 years). Patients in formal employment (Adjusted Coefficient [AC] 29.5, 95% CI: 22.8 to 81.1) and self-employment (AC 48.1, 95% CI: 18.6 to 77.4) gained significantly higher CD4 cells than those unemployed. In addition, baseline CD4 count, type of treatment, WHO staging, total duration on treatment and duration lost to follow-up were found to be strong predictors of CD4 cell count at 6 and 24 months after restarting antiretroviral therapy treatment.

conclusionAge and occupation were the only socio-demographic characteristics predicting CD4 count in the patients at 6 months after restarting antiretroviral therapy after adjusting for other confounding clinical variables.

Indexed as

AdolescentAdultAge FactorsAnti-HIV AgentsCD4 Lymphocyte CountFemaleHIV InfectionsHumansLongitudinal StudiesLost to Follow-UpMaleMedication AdherenceMiddle AgedOccupationsRetrospective StudiesSocioeconomic FactorsAnti-HIV AgentsAntiretroviral therapyCD4 cell countDefaultingLost to follow-upRestartZambia

Identifiers

PMID27026338
PMCPMC4812641

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