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Cascade of care among HIV patients diagnosed in 2013 in Georgia: Risk factors for late diagnosis and attrition from HIV care

INTRODUCTION: The major challenge in the HIV epidemic in Georgia is a high proportion of undiagnosed people living with HIV (estimated 48%) as well as a very high proportion of late presentations for care, with 66% presenting for HIV care with CD4 count <350 and 40% with <200 cells/mm(3), in 2...

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Autores principales: Ruadze, Ekaterine, Chkhartishvili, Nikoloz, Chokoshvili, Otar, Tsertsvadze, Tengiz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5613841/
https://www.ncbi.nlm.nih.gov/pubmed/28975029
http://dx.doi.org/10.1177/2050312117731977
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author Ruadze, Ekaterine
Chkhartishvili, Nikoloz
Chokoshvili, Otar
Tsertsvadze, Tengiz
author_facet Ruadze, Ekaterine
Chkhartishvili, Nikoloz
Chokoshvili, Otar
Tsertsvadze, Tengiz
author_sort Ruadze, Ekaterine
collection PubMed
description INTRODUCTION: The major challenge in the HIV epidemic in Georgia is a high proportion of undiagnosed people living with HIV (estimated 48%) as well as a very high proportion of late presentations for care, with 66% presenting for HIV care with CD4 count <350 and 40% with <200 cells/mm(3), in 2013. The objectives of this study was to evaluate patient engagement in the continuum of HIV care for HIV patients diagnosed in 2013 and, within this cohort, to evaluate factors associated with late diagnosis and attrition from care. METHODS: Factors associated with late diagnosis were analyzed through binary logistic regression. Exposure variables were the mode of HIV transmission (injecting drug use, male-to-male contact, and heterosexual contact), gender (male vs female), and age (categorized by median value ≤36 vs >36). In addition, CD4 count at diagnosis (cells/mm(3)) (≤350 or >350) together with all above factors were tested for the association with attrition through Poisson regression. RESULTS: Overall, 317 patients retained in care, representing 65% of those diagnosed (n = 488). Out of eligible 295 patients, 89.5% were on treatment and 84% of those viral load count was measured after 6 months of antiretroviral treatment initiation had HIV-1 viral load <1000 copies/mL. Patients reporting injecting drug use as a route-of HIV transmission had two times the odds (95% confidence interval = 1.34–3.49) to be diagnosed late and patients reporting male-to-male contact as a way of HIV transmission had half the odds (odds ratio = 0.46 (95% confidence interval = 0.26–0.81)) of late diagnosis compared to patients acquiring HIV through heterosexual contact. Patients older than 36 years were more likely to being diagnosed late. CONCLUSION: More attention should be given to injecting drug users as they represent the most at-risk population for late diagnosis together with older age and attrition.
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spelling pubmed-56138412017-10-03 Cascade of care among HIV patients diagnosed in 2013 in Georgia: Risk factors for late diagnosis and attrition from HIV care Ruadze, Ekaterine Chkhartishvili, Nikoloz Chokoshvili, Otar Tsertsvadze, Tengiz SAGE Open Med Original Article INTRODUCTION: The major challenge in the HIV epidemic in Georgia is a high proportion of undiagnosed people living with HIV (estimated 48%) as well as a very high proportion of late presentations for care, with 66% presenting for HIV care with CD4 count <350 and 40% with <200 cells/mm(3), in 2013. The objectives of this study was to evaluate patient engagement in the continuum of HIV care for HIV patients diagnosed in 2013 and, within this cohort, to evaluate factors associated with late diagnosis and attrition from care. METHODS: Factors associated with late diagnosis were analyzed through binary logistic regression. Exposure variables were the mode of HIV transmission (injecting drug use, male-to-male contact, and heterosexual contact), gender (male vs female), and age (categorized by median value ≤36 vs >36). In addition, CD4 count at diagnosis (cells/mm(3)) (≤350 or >350) together with all above factors were tested for the association with attrition through Poisson regression. RESULTS: Overall, 317 patients retained in care, representing 65% of those diagnosed (n = 488). Out of eligible 295 patients, 89.5% were on treatment and 84% of those viral load count was measured after 6 months of antiretroviral treatment initiation had HIV-1 viral load <1000 copies/mL. Patients reporting injecting drug use as a route-of HIV transmission had two times the odds (95% confidence interval = 1.34–3.49) to be diagnosed late and patients reporting male-to-male contact as a way of HIV transmission had half the odds (odds ratio = 0.46 (95% confidence interval = 0.26–0.81)) of late diagnosis compared to patients acquiring HIV through heterosexual contact. Patients older than 36 years were more likely to being diagnosed late. CONCLUSION: More attention should be given to injecting drug users as they represent the most at-risk population for late diagnosis together with older age and attrition. SAGE Publications 2017-09-21 /pmc/articles/PMC5613841/ /pubmed/28975029 http://dx.doi.org/10.1177/2050312117731977 Text en © The Author(s) 2017 http://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page(https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Article
Ruadze, Ekaterine
Chkhartishvili, Nikoloz
Chokoshvili, Otar
Tsertsvadze, Tengiz
Cascade of care among HIV patients diagnosed in 2013 in Georgia: Risk factors for late diagnosis and attrition from HIV care
title Cascade of care among HIV patients diagnosed in 2013 in Georgia: Risk factors for late diagnosis and attrition from HIV care
title_full Cascade of care among HIV patients diagnosed in 2013 in Georgia: Risk factors for late diagnosis and attrition from HIV care
title_fullStr Cascade of care among HIV patients diagnosed in 2013 in Georgia: Risk factors for late diagnosis and attrition from HIV care
title_full_unstemmed Cascade of care among HIV patients diagnosed in 2013 in Georgia: Risk factors for late diagnosis and attrition from HIV care
title_short Cascade of care among HIV patients diagnosed in 2013 in Georgia: Risk factors for late diagnosis and attrition from HIV care
title_sort cascade of care among hiv patients diagnosed in 2013 in georgia: risk factors for late diagnosis and attrition from hiv care
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5613841/
https://www.ncbi.nlm.nih.gov/pubmed/28975029
http://dx.doi.org/10.1177/2050312117731977
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