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574. Late Diagnosis of HIV in South Carolina: Prevalence, Cause, and Consequences

BACKGROUND: Late diagnosis of human immunodeficiency virus (HIV) increases the risk of new transmission, acquired immune deficiency syndrome (AIDS), and AIDS-related deaths. Late HIV diagnosis is also thought as a major impediment for the success of antiretroviral therapy (ART) outcomes. In the Unit...

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Autores principales: Hossain, Akhtar, Li, Xiaoming, Osterman, Jan, Chakraborty, Hrishikesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6255125/
http://dx.doi.org/10.1093/ofid/ofy210.582
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author Hossain, Akhtar
Li, Xiaoming
Osterman, Jan
Chakraborty, Hrishikesh
author_facet Hossain, Akhtar
Li, Xiaoming
Osterman, Jan
Chakraborty, Hrishikesh
author_sort Hossain, Akhtar
collection PubMed
description BACKGROUND: Late diagnosis of human immunodeficiency virus (HIV) increases the risk of new transmission, acquired immune deficiency syndrome (AIDS), and AIDS-related deaths. Late HIV diagnosis is also thought as a major impediment for the success of antiretroviral therapy (ART) outcomes. In the United States in 2014, about one-quarter of HIV infections were diagnosed late and simultaneously with AIDS. South Carolina (SC), a rural southern state, is among the nation’s top in HIV incidence and also exhibits a very high rate of late HIV diagnosis. This study investigates prevalence, causes, and consequences of late HIV diagnosis in SC. METHODS: Using statewide surveillance data from patients diagnosed with HIV in the period 1997–2013, late diagnosis of HIV infection was defined as Stage 3 (AIDS) based on CD4 count 200 cells/mL and/or opportunistic illness within 3 months of HIV diagnosis. Logistic regression approach is used to identify the patient groups susceptible to late diagnosis. A Bayesian joint analysis is used to model the differentials in viral load, CD4 cell count, and death risk as consequences of late diagnosis. All statistical analyses have been performed after controlling for patient demographics and treatment information and statistical significance were reported at 5% level. RESULTS: The proportion of late HIV diagnosis declined from 61.6% in 1997 to 38.7% in 2013. However, the rate of late diagnosis in SC is still alarming and higher than many other states in the country. Male, non-White, and older patients exhibited higher odds of late diagnosis. After adjusting for demographic and treatment characteristics, the joint model analysis revealed that the patients diagnosed late were able to maintain lower viral loads even when compared with early diagnosed patients. However, late diagnosis made them highly vulnerable to have poor CD4 count and put them at about 70% high risk of death. CONCLUSION: From early diagnosis of HIV infection, both the patient and the society can be benefited. The findings from this study can help devising policy strategies to implement targeted intervention and spread awareness to reduce late diagnosis after HIV infection in SC. DISCLOSURES: All authors: No reported disclosures.
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spelling pubmed-62551252018-11-28 574. Late Diagnosis of HIV in South Carolina: Prevalence, Cause, and Consequences Hossain, Akhtar Li, Xiaoming Osterman, Jan Chakraborty, Hrishikesh Open Forum Infect Dis Abstracts BACKGROUND: Late diagnosis of human immunodeficiency virus (HIV) increases the risk of new transmission, acquired immune deficiency syndrome (AIDS), and AIDS-related deaths. Late HIV diagnosis is also thought as a major impediment for the success of antiretroviral therapy (ART) outcomes. In the United States in 2014, about one-quarter of HIV infections were diagnosed late and simultaneously with AIDS. South Carolina (SC), a rural southern state, is among the nation’s top in HIV incidence and also exhibits a very high rate of late HIV diagnosis. This study investigates prevalence, causes, and consequences of late HIV diagnosis in SC. METHODS: Using statewide surveillance data from patients diagnosed with HIV in the period 1997–2013, late diagnosis of HIV infection was defined as Stage 3 (AIDS) based on CD4 count 200 cells/mL and/or opportunistic illness within 3 months of HIV diagnosis. Logistic regression approach is used to identify the patient groups susceptible to late diagnosis. A Bayesian joint analysis is used to model the differentials in viral load, CD4 cell count, and death risk as consequences of late diagnosis. All statistical analyses have been performed after controlling for patient demographics and treatment information and statistical significance were reported at 5% level. RESULTS: The proportion of late HIV diagnosis declined from 61.6% in 1997 to 38.7% in 2013. However, the rate of late diagnosis in SC is still alarming and higher than many other states in the country. Male, non-White, and older patients exhibited higher odds of late diagnosis. After adjusting for demographic and treatment characteristics, the joint model analysis revealed that the patients diagnosed late were able to maintain lower viral loads even when compared with early diagnosed patients. However, late diagnosis made them highly vulnerable to have poor CD4 count and put them at about 70% high risk of death. CONCLUSION: From early diagnosis of HIV infection, both the patient and the society can be benefited. The findings from this study can help devising policy strategies to implement targeted intervention and spread awareness to reduce late diagnosis after HIV infection in SC. DISCLOSURES: All authors: No reported disclosures. Oxford University Press 2018-11-26 /pmc/articles/PMC6255125/ http://dx.doi.org/10.1093/ofid/ofy210.582 Text en © The Author(s) 2018. Published by Oxford University Press on behalf of Infectious Diseases Society of America. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Abstracts
Hossain, Akhtar
Li, Xiaoming
Osterman, Jan
Chakraborty, Hrishikesh
574. Late Diagnosis of HIV in South Carolina: Prevalence, Cause, and Consequences
title 574. Late Diagnosis of HIV in South Carolina: Prevalence, Cause, and Consequences
title_full 574. Late Diagnosis of HIV in South Carolina: Prevalence, Cause, and Consequences
title_fullStr 574. Late Diagnosis of HIV in South Carolina: Prevalence, Cause, and Consequences
title_full_unstemmed 574. Late Diagnosis of HIV in South Carolina: Prevalence, Cause, and Consequences
title_short 574. Late Diagnosis of HIV in South Carolina: Prevalence, Cause, and Consequences
title_sort 574. late diagnosis of hiv in south carolina: prevalence, cause, and consequences
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6255125/
http://dx.doi.org/10.1093/ofid/ofy210.582
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