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High burden of metabolic comorbidities in a citywide cohort of HIV outpatients: evolving health care needs of people aging with HIV in Washington, DC.

ABSTRACT: OBJECTIVES:With the increasing impact of cardiovascular disease among populations aging with HIV, contemporary prevalence estimates for predisposing metabolic comorbidities will be important for guiding the provision of relevant lifestyle and pharmacological interventions. We estimated the citywide prevalence of hypertension, type 2 diabetes, dyslipidaemia, and obesity; examined differences by demographic subgroups; and assessed clinical correlates. METHODS:Utilizing an electronic medical record (EMR) database from the DC Cohort study - a multicentre prospective cohort study of HIV-infected outpatients - we assessed the period prevalence of metabolic comorbidities between 2011 and 2015 using composite definitions that incorporated diagnoses, pharmacy records, and clinical/laboratory results. RESULTS:Of 7018 adult patients (median age 50 years; 77% black), 50% [95% confidence interval (CI) 49-51] had hypertension, 13% (95% CI: 12-14) had diabetes, 48% (95% CI: 47-49) had dyslipidaemia, and 35% (95% CI: 34-36) had obesity. Hypertension was more prevalent among black patients, diabetes and obesity were more prevalent among female and black patients, dyslipidaemia was more prevalent among male and white patients, and comorbidities were more prevalent among older patients (all P < 0.001). For many patients, evidence of treatment for these comorbidities was not available in the EMR. Longer time since HIV diagnosis, greater duration of antiretroviral treatment, and having controlled immunovirological parameters were associated with metabolic comorbidities. CONCLUSIONS:These findings underscore the pervasive burden of metabolic comorbidities among HIV-infected persons, serve as the basis for future analyses characterizing their impact on subsequent adverse cardiovascular outcomes, and highlight the need for an increased focus on the prevention and control of comorbid complications in this population.

SUBMITTER: Levy ME

PROVIDER: S-EPMC5643214 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature

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High burden of metabolic comorbidities in a citywide cohort of HIV outpatients: evolving health care needs of people aging with HIV in Washington, DC.

Levy M E ME Greenberg A E AE Hart R R Powers Happ L L Hadigan C C Castel A A

HIV medicine 20170515 10

<h4>Objectives</h4>With the increasing impact of cardiovascular disease among populations aging with HIV, contemporary prevalence estimates for predisposing metabolic comorbidities will be important for guiding the provision of relevant lifestyle and pharmacological interventions. We estimated the citywide prevalence of hypertension, type 2 diabetes, dyslipidaemia, and obesity; examined differences by demographic subgroups; and assessed clinical correlates.<h4>Methods</h4>Utilizing an electronic ...[more]

PMID: 28503912

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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.

Project description:Washington, DC consistently has one of the highest annual rates of new HIV-1 diagnoses in the United States over the last 10 years. To guide intervention and prevention strategies to combat DC HIV infection, it is helpful to understand HIV transmission dynamics in a historical context. Toward this aim, we conducted a retrospective study (years 1987-2015) of 3,349 HIV pol sequences (1,026 bp) from 1,996 individuals living in the DC area belonging to three different cohorts. We coupled HIV sequence data with clinical information (sex, risk factor, race/ethnicity, viral load, subtype, anti-retroviral regimen) to identify circulating drug resistant mutations (DRM) and transmission clusters and assess their persistence over time. Of the transmission clusters identified in the DC area, 78.0 and 31.7% involved MSM and heterosexuals, respectively. The longest spread of time for a single cluster was 5 years (2007-2012) using a distance-based network inference approach and 27 years (1987-2014) using a maximum likelihood phylogenetic approach. We found eight subtypes and nine recombinants. Genetic diversity increased steadily over time with a slight peak in 2009 and remained constant thereafter until 2015. Nucleotide diversity also increased over time while relative genetic diversity (BEAST) remained relatively steady over the last 28 years with slight increases since 2000 in subtypes B and C. Sequences from individuals on drug therapy contained the highest total number of DRMs (1,104-1,600) and unique DRMs (63-97) and the highest proportion (>20%) of resistant individuals. Heterosexuals (43.94%), MSM (40.13%), and unknown (44.26%) risk factors showed similar prevalence of DRMs, while injection drug users had a lower prevalence (33.33%). Finally, there was a 60% spike in the number of codons with DRMs between 2007 and 2010. Past patterns of HIV transmission and DRM accumulation over time described here will help to predict future efficacy of ART drugs based on DRMs persisting over time and identify risk groups of interest for prevention and intervention efforts within the DC population. Our results show how longitudinal data can help to understand the temporal dynamics of HIV-1 at the local level.

Dataset Information

High burden of metabolic comorbidities in a citywide cohort of HIV outpatients: evolving health care needs of people aging with HIV in Washington, DC.

Publications

High burden of metabolic comorbidities in a citywide cohort of HIV outpatients: evolving health care needs of people aging with HIV in Washington, DC.

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