Evidence map›Paper›PMID 37585242›Full record

ArticleInteractive journal of medical research2023

Cardiovascular Risk Assessment Among Adolescents and Youths Living With HIV: Evaluation of Electronic Health Record Findings and Implications.

Sitaji Gurung, Kit N Simpson, Christian Grov, H Jonathon Rendina, Terry T K Huang, Henna Budhwani, Stephen Scott Jones, Tyra Dark, Sylvie Naar

Open access · goldAbstract read
In one paragraph

Article in Interactive journal of medical research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.4field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 1 country.

Sitaji Gurung *Department of Health Sciences, New York City College of Technology (City Tech), The City University of New York, Brooklyn, NY, United States.ORCID https://orcid.org/0000-0003-4713-4228
Kit N SimpsonDepartment of Healthcare Leadership and Management, Medical University of South Carolina, Charleston, SC, United States.ORCID https://orcid.org/0000-0002-1713-0632
Christian GrovDepartment of Community Health and Health Policy, The City University of New York Graduate School of Public Health and Health Policy, New York, NY, United States.ORCID https://orcid.org/0000-0001-6871-3531
H Jonathon RendinaMilken Institute School of Public Health, The George Washington University, Washington, DC, United States.ORCID https://orcid.org/0000-0002-0148-2852
Terry T K HuangCenter for Systems and Community Design, The City University of New York Graduate School of Public Health and Health Policy, New York, NY, United States.ORCID https://orcid.org/0000-0001-5544-5187
Henna BudhwaniCollege of Nursing, Florida State University, Tallahassee, FL, United States.ORCID https://orcid.org/0000-0002-6716-9754
Stephen Scott JonesWhitman-Walker Institute, The George Washington University, Washington, DC, United States.ORCID https://orcid.org/0000-0002-5361-8088
Tyra DarkCollege of Medicine, Florida State University, Tallahassee, FL, United States.ORCID https://orcid.org/0000-0003-2102-5437
Sylvie NaarCollege of Medicine, Florida State University, Tallahassee, FL, United States.ORCID https://orcid.org/0000-0001-6369-4685
City University of New York · USFlorida State University · USGeorge Washington University · USMedical University of South Carolina · USMilken Institute · US

Funding

Scientific Core (ETR)U19HD089875 · NICHD · WAYNE STATE UNIVERSITY · PI NAAR, SYLVIE · 2016 to 2021
$21.4M
New York Regional Center for Diabetes Translation Research - Translational Intervention Methodology CoreP30DK111022 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI JEFFREY GONZALEZ · 2016 to 2026
$7.8M
Training Program for Scientists Conducting Research to Reduce HIV Health DisparitR25MH067127 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Emily A Arnold, Torsten Brian Neilands · 2003 to 2026
$5.4M
COVID-19 Administrative Supplement to K01: Adapting, Pilot Testing a Behavioral Intervention to Incorporate Advances in HIV Prevention for Black Young MSM in AlabamaK01MH116737 · NIMH · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BUDHWANI, HENNA · 2019 to 2023
$899k
NICHD NIH HHS U19 HD089875NIDDK NIH HHS P30 DK111022NIMH NIH HHS K01 MH116737NIMH NIH HHS R25 MH067127
6 · The paper itself

Abstract

backgroundThe HIV epidemic remains a major public health concern, particularly among youths living with HIV. While the availability of antiretroviral therapy has significantly improved the health outcomes of people living with HIV, there is growing evidence that youths living with HIV may be at increased risk of cardiovascular disease. However, the underlying mechanisms linking HIV and cardiovascular disease among youths living with HIV remain poorly understood. One potential explanation is that HIV-related biomarkers, including detectable viral load (VL) and low cluster of differentiation 4 (CD4) lymphocyte counts, may contribute to increased cardiovascular risk. Despite the potential importance of these biomarkers, the relationship between HIV-related biomarkers and cardiovascular risk among youths living with HIV has been understudied.

objectiveTo address this gap, we examined whether detectable VL and low CD4 lymphocyte counts, both of which are indications of unsuppressed HIV, were associated with cardiovascular risk among youths living with HIV.

methodsWe analyzed electronic health record data from 7 adolescent HIV clinics in the United States (813 youths living with HIV). We used multivariable linear regression to examine the relationship between detectable VL and CD4 lymphocyte counts of ≤200 and cardiovascular risk scores, which were adapted from the gender-specific Framingham algorithm.

resultsIn our study, nearly half of the participants (366/766, 47.8%) had detectable VL, indicating unsuppressed HIV, while 8.6% (51/593) of them had CD4 lymphocyte counts of ≤200, suggesting weakened immune function. We found that those with CD4 lymphocyte counts of ≤200 had significantly higher cardiovascular risk, as assessed by Cardiac Risk Score2, than those with CD4 lymphocyte counts of >200 (P=.002). After adjusting for demographic and clinical factors, we found that for every 1000-point increase in VL copies/mL, the probability of having cardiovascular risk (Cardiac Risk Score2) increased by 38%. When measuring the strength of this connection, we observed a minor effect of VL on increased cardiovascular risk (β=.134, SE 0.014; P=.006). We obtained similar results with Cardiac Risk Score1, but the effect of CD4 lymphocyte counts of ≤200 was no longer significant. Overall, our findings suggest that detectable VL is associated with increased cardiovascular risk among youths living with HIV, and that CD4 lymphocyte counts may play a role in this relationship as well.

conclusionsOur study highlights a significant association between unsuppressed HIV, indicated by detectable VL, and increased cardiovascular risk in youths living with HIV. These findings emphasize the importance of implementing interventions that address both VL suppression and cardiovascular risk reduction in this population. By tailoring interventions to meet the unique needs of youths, we can promote overall well-being throughout the HIV care continuum and across the life span. Ultimately, these efforts have the potential to improve the health outcomes and quality of life of youths living with HIV. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/11185.

Indexed as

cardiovascular riskcluster of differentiation 4 lymphocyteelectronic health recordviral loadyouths living with HIV

Identifiers

PMID37585242
PMCPMC10468705
OpenAlexW4385850463

What Socratic holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.