Literature DB >> 25458918

Disparities in viral load and CD4 count trends among HIV-infected adults in South Carolina.

Hrishikesh Chakraborty1, Medha Iyer, Wayne A Duffus, Ashok Varma Samantapudi, Helmut Albrecht, Sharon Weissman.   

Abstract

On a population level, trends in viral load (VL) and CD4 cell counts can provide a marker of infectivity and an indirect measure of retention in care. Thus, observing the trend of CD4/VL over time can provide useful information on disparities in populations across the HIV care continuum when stratified by demography. South Carolina (SC) maintains electronic records of all CD4 cell counts and HIV VL measurements reported to the state health department. We examined temporal trends in individual HIV VLs reported in SC between January 1, 2005 and December 31, 2012 by using mixed effects models adjusting for gender, race/ethnicity, age, baseline CD4 count, HIV risk category, and residence. Overall VL levels gradually decreased over the observation period. There were significant differences in the VL decline by gender, age groups, rural/urban residence, and HIV risk exposure group. There were significant differences in CD4 increases by race/ethnicity, age groups, and HIV risk exposure group. However, the population VL declines were slower among individuals aged 13-19 years compared to older age groups (p<0.0001), among men compared to women (p=0.002), and among people living with HIV/AIDS (PLWHA) with CD4 count ≤200 cell/mm(3) compared to those with higher CD4 counts (p<0.0001). Significant disparities were observed in VL decline by gender, age, and CD4 counts among PLWHA in SC. Population based data such as these can help streamline and better target local resources to facilitate retention in care and adherence to medications among PLWHA.

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Year:  2015        PMID: 25458918      PMCID: PMC4281837          DOI: 10.1089/apc.2014.0158

Source DB:  PubMed          Journal:  AIDS Patient Care STDS        ISSN: 1087-2914            Impact factor:   5.078


  29 in total

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8.  Human immunodeficiency virus-infected young people in Australia: data from the Australian HIV Observational Database.

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9.  Sociodemographic factors affecting viral load suppression among people living with HIV in South Carolina.

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10.  Barriers and facilitators of the HIV care continuum in Southern New England for people with drug or alcohol use and living with HIV/AIDS: perspectives of HIV surveillance experts and service providers.

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