Use of the community viral load as a population-based biomarker of HIV burden

Castel, Amanda D.; Befus, Montina; Willis, Sarah J.; Griffin, Angelique; West, Tiffany; Hader, Shannon; Greenberg, Alan E.

doi:10.1097/qad.0b013e32834de5fe

Cited by 97 publications

(112 citation statements)

References 15 publications

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“…[19][20][21][22][23] A few studies have examined community VL (CVL) and its impact on HIV incidence rates. The CVL is an average VL of a community and represents an aggregate measure for that particular community 24,25 where the unit of analysis is a community. In contrast, in individual VL analysis, the unit of analysis is an individual.…”

Section: Introductionmentioning

confidence: 99%

Disparities in Viral Load and CD4 Count Trends Among HIV-Infected Adults in South Carolina

Chakraborty

Iyer

Duffus

et al. 2015

AIDS Patient Care and STDs

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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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Section: Introductionmentioning

confidence: 99%

Disparities in Viral Load and CD4 Count Trends Among HIV-Infected Adults in South Carolina

Chakraborty

Iyer

Duffus

et al. 2015

AIDS Patient Care and STDs

View full text Add to dashboard Cite

show abstract

“…Operationalized through metrics such as community viral load (Castel et al, 2012;Das et al, 2010;Montaner et al, 2010) and the proportion of the population with a viral load above a specified cutoff (Kelley et al, 2012), the burden of disease at the population-level has gained increasing recognition as an informative indicator of HIV transmission potential. Given the epidemiologic importance of this population-level variable and its role in shaping patterns of individual risk, it is relevant to consider how it is perceived by susceptible individuals and whether these perceptions shape behavior.…”

mentioning

confidence: 99%

Correlates of Perceived HIV Prevalence and Associations With HIV Testing Behavior Among Men Who Have Sex With Men in the United States

White

Stephenson

2014

Am J Mens Health

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As the rate of HIV infection continues to rise among men who have sex with men (MSM) in the United States, a focus of current prevention efforts is to encourage frequent HIV testing. Although levels of lifetime testing are high, low levels of routine testing among MSM are concerning. Using data from an online sample of 768 MSM, this article explores how perceptions of HIV prevalence are associated with HIV testing behavior. Ordinal logistic regression models were fitted to examine correlates of perceived prevalence, and binary logistic regression models were fitted to assess associations between perceived prevalence and HIV testing. The results indicate that perceptions of higher prevalence among more proximal reference groups such as friends and sex partners are associated with greater odds of HIV testing. Perceptions of HIV prevalence were nonuniform across the sample; these variations point to groups to target with strategic messaging and interventions to increase HIV testing among MSM.

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“…Analysis of a national program's patient's HIV VL data has value in measuring a program's treatment performance (community VL) (27). However, this is possible only with central collection of VL results, such as through a laboratory information system (LIS).…”

Section: Discussionmentioning

confidence: 99%

Laboratory Evaluation of the Liat HIV Quant (IQuum) Whole-Blood and Plasma HIV-1 Viral Load Assays for Point-of-Care Testing in South Africa

et al. 2015

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Use of the community viral load as a population-based biomarker of HIV burden

Cited by 97 publications

References 15 publications

Disparities in Viral Load and CD4 Count Trends Among HIV-Infected Adults in South Carolina

Disparities in Viral Load and CD4 Count Trends Among HIV-Infected Adults in South Carolina

Correlates of Perceived HIV Prevalence and Associations With HIV Testing Behavior Among Men Who Have Sex With Men in the United States

Laboratory Evaluation of the Liat HIV Quant (IQuum) Whole-Blood and Plasma HIV-1 Viral Load Assays for Point-of-Care Testing in South Africa

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