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Characterizing Indicators of Engagement in HIV-Associated Healthcare and Clinical Outcomes among People with HIV and Mpox in Washington, DC: A Nested Case-Control Study of the DC Cohort.

ABSTRACT: The high proportion of people with HIV (PWH) in the 2022-2023 mpox outbreak has raised questions surrounding the association between HIV and mpox. The objectives of this study were to evaluate the association between engagement in HIV-associated healthcare and mpox diagnosis, as well as to characterize cases of mpox among PWH. The DC Cohort is a longitudinal cohort of PWH in Washington, DC. We conducted a 5:1 (controls:cases) nested case-cohort study on male participants, matching age and care site. Cases were participants with an identified mpox diagnosis. Conditional logistic regression was used to assess the impact of indicators of engagement in HIV-associated healthcare on mpox diagnosis. We identified 70 cases of mpox in DC Cohort participants randomly matched to 323 controls, for a total of 393 participants included in the analysis. Study participants were primarily non-Hispanic Black (72.3%) with a median age of 41 (IQR: 36, 50). There was no association between engagement in care and mpox diagnosis; however, low CD4 was associated with increased odds of mpox diagnosis (aOR: 4.60 (95% CI: 1.23, 17.11)). Among a cohort of PWH, engagement in care was not associated with mpox diagnosis, suggesting that the overrepresentation of PWH among mpox cases is not due to surveillance bias.

SUBMITTER: O'Connor LF

PROVIDER: S-EPMC10892472 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature

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Characterizing Indicators of Engagement in HIV-Associated Healthcare and Clinical Outcomes among People with HIV and Mpox in Washington, DC: A Nested Case-Control Study of the DC Cohort.

O'Connor Lauren F LF Byrne Morgan M Baskaran Anuja A Andersen Elisabeth W EW Horberg Michael A MA Benator Debra A DA Lucar Jose J Denyer Rachel V RV Lee Rachel R Castel Amanda D AD Monroe Anne K AK

Pathogens (Basel, Switzerland) 20240127 2

The high proportion of people with HIV (PWH) in the 2022-2023 mpox outbreak has raised questions surrounding the association between HIV and mpox. The objectives of this study were to evaluate the association between engagement in HIV-associated healthcare and mpox diagnosis, as well as to characterize cases of mpox among PWH. The DC Cohort is a longitudinal cohort of PWH in Washington, DC. We conducted a 5:1 (controls:cases) nested case-cohort study on male participants, matching age and care s ...[more]

PMID: 38392854

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Project description:BackgroundAs the crisis-based approach to HIV care evolves to chronic disease management, supporting ongoing engagement with HIV care is increasingly important to achieve long-term treatment success. However, 'engagement' is a complex concept and ambiguous definitions limit its evaluation. To guide engagement evaluation and development of interventions to improve HIV outcomes, we sought to identify critical, measurable dimensions of engagement with HIV care for people on treatment from a health service-delivery perspective.MethodsWe used a pragmatic, iterative approach to develop a framework, combining insights from researcher experience, a narrative literature review, framework mapping, expert stakeholder input and a formal scoping review of engagement measures. These inputs helped to refine the inclusion and definition of important elements of engagement behaviour that could be evaluated by the health system.ResultsThe final framework presents engagement with HIV care as a dynamic behaviour that people practice rather than an individual characteristic or permanent state, so that people can be variably engaged at different points in their treatment journey. Engagement with HIV care for those on treatment is represented by three measurable dimensions: 'retention' (interaction with health services), 'adherence' (pill-taking behaviour), and 'active self-management' (ownership and self-management of care). Engagement is the product of wider contextual, health system and personal factors, and engagement in all dimensions facilitates successful treatment outcomes, such as virologic suppression and good health. While retention and adherence together may lead to treatment success at a particular point, this framework hypothesises that active self-management sustains treatment success over time. Thus, evaluation of all three core dimensions is crucial to realise the individual, societal and public health benefits of antiretroviral treatment programmes.ConclusionsThis framework distils a complex concept into three core, measurable dimensions critical for the maintenance of engagement. It characterises elements that the system might assess to evaluate engagement more comprehensively at individual and programmatic levels, and suggests that active self-management is an important consideration to support lifelong optimal engagement. This framework could be helpful in practice to guide the development of more nuanced interventions that improve long-term treatment success and help maintain momentum in controlling a changing epidemic.

Project description:BackgroundWashington DC has a high burden of HIV with a 2.0% HIV prevalence. The city is a national and international hub potentially containing a broad diversity of HIV variants; yet few sequences from DC are available on GenBank to assess the evolutionary history of HIV in the US capital. Towards this general goal, here we analyze extensive sequence data and investigate HIV diversity, phylodynamics, and drug resistant mutations (DRM) in DC.MethodsMolecular HIV-1 sequences were collected from participants infected through 2015 as part of the DC Cohort, a longitudinal observational study of HIV+ patients receiving care at 13 DC clinics. Sequences were paired with Cohort demographic, risk, and clinical data and analyzed using maximum likelihood, Bayesian and coalescent approaches of phylogenetic, network and population genetic inference. We analyzed 601 sequences from 223 participants for int (~864 bp) and 2,810 sequences from 1,659 participants for PR/RT (~1497 bp).ResultsNinety-nine and 94% of the int and PR/RT sequences, respectively, were identified as subtype B, with 14 non-B subtypes also detected. Phylodynamic analyses of US born infected individuals showed that HIV population size varied little over time with no significant decline in diversity. Phylogenetic analyses grouped 13.5% of the int sequences into 14 clusters of 2 or 3 sequences, and 39.0% of the PR/RT sequences into 203 clusters of 2-32 sequences. Network analyses grouped 3.6% of the int sequences into 4 clusters of 2 sequences, and 10.6% of the PR/RT sequences into 76 clusters of 2-7 sequences. All network clusters were detected in our phylogenetic analyses. Higher proportions of clustered sequences were found in zip codes where HIV prevalence is highest (r = 0.607; P<0.00001). We detected a high prevalence of DRM for both int (17.1%) and PR/RT (39.1%), but only 8 int and 12 PR/RT amino acids were identified as under adaptive selection. We observed a significant (P<0.0001) association between main risk factors (men who have sex with men and heterosexuals) and genotypes in the five well-supported clusters with sufficient sample size for testing.DiscussionPairing molecular data with clinical and demographic data provided novel insights into HIV population dynamics in Washington, DC. Identification of populations and geographic locations where clustering occurs can inform and complement active surveillance efforts to interrupt HIV transmission.

Dataset Information

Characterizing Indicators of Engagement in HIV-Associated Healthcare and Clinical Outcomes among People with HIV and Mpox in Washington, DC: A Nested Case-Control Study of the DC Cohort.

Publications

Characterizing Indicators of Engagement in HIV-Associated Healthcare and Clinical Outcomes among People with HIV and Mpox in Washington, DC: A Nested Case-Control Study of the DC Cohort.

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