Evidence map›Paper›PMID 38215160›Full record

ArticlePLoS medicine2024

The forecasted prevalence of comorbidities and multimorbidity in people with HIV in the United States through the year 2030: A modeling study.

Keri N Althoff, Cameron Stewart, Elizabeth Humes, Lucas Gerace, Cynthia Boyd, Kelly Gebo, Amy C Justice, Emily P Hyle, Sally B Coburn, Raynell Lang and 22 more

Open access · goldAbstract read
In one paragraph

Article in PLoS medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
38.0field-weighted citation impact, top 1% 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

45 citing papers in PubMed, 55 citations in OpenAlex.

  1. Article
  2. Focusing on vulnerable populations in HIV.Chinese medical journal · 2026
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  20. Navigating the Data Gaps of Ageing Among Women Living With HIV.Journal of the International AIDS Society · 2026
    Article
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

32 authors at 13 institutions in 2 countries.

Keri N AlthoffDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.ORCID 0000-0002-5068-6595
Cameron StewartDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.ORCID 0000-0002-9982-5808
Elizabeth HumesDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
Lucas GeraceDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
Cynthia BoydDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.ORCID 0000-0001-5642-9015
Kelly GeboDivision of Infectious Diseases, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, United States of America.ORCID 0000-0003-4010-398X
Amy C JusticeYale Schools of Medicine and Public Health, New Haven, Connecticut, United States of America.ORCID 0000-0003-0139-5502
Emily P HyleHarvard Medical School and the Division of Infectious Diseases, Massachusetts General Hospital, Boston, Massachusetts, United States of America.ORCID 0000-0001-8721-106X
Sally B CoburnDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.ORCID 0000-0002-6423-1137
Raynell LangDepartment of Medicine, University of Calgary, Calgary, Canada.
Michael J SilverbergDivision of Research, Kaiser Permanente Northern California, Oakland, California, USA and Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, California, United States of America.
Michael A HorbergMid-Atlantic Permanente Research Institute, Kaiser Permanente Mid-Atlantic Permanente Medical Group, Rockville, Maryland, United States of America.
Viviane D LimaEpidemiology and Population Health Program, British Columbia Centre for Excellence in HIV/AIDS, Vancouver, Canada.ORCID 0000-0003-4943-091X
M John GillDepartment of Medicine, University of Calgary, Calgary, Canada.ORCID 0000-0002-8546-8790
Maile KarrisDepartment of Medicine, University of California San Diego, San Diego, California, United States of America.
Peter F RebeiroDepartments of Medicine and Biostatistics, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America.ORCID 0000-0003-1951-9104
Jennifer ThorneDepartment of Ophthalmology, Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
Ashleigh J RichDepartment of Social Medicine, University of North Carolina, Chapel Hill, North Carolina, United States of America.ORCID 0000-0003-3742-7086
Heidi CraneDivision of Allergy and Infectious Diseases, Departments of Medicine and Epidemiology, University of Washington, Seattle, Washington, United States of America.
Mari KitahataDivision of Allergy and Infectious Diseases, Departments of Medicine and Epidemiology, University of Washington, Seattle, Washington, United States of America.ORCID 0000-0002-5410-7175
Anna RubtsovaDepartment of Behavioral, Social, and Health Education Sciences, Emory University Rollins School of Public Health, Atlanta, Georgia, United States of America.
Cherise WongDivision of Worldwide Research and Development, Pfizer Inc., New York City, New York, United States of America.
Sean LengDivision of Geriatric Medicine and Gerontology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, United States of America.
Vincent C MarconiDivision of Infectious Disease, Emory School of Medicine, Atlanta, Georgia, United States of America.ORCID 0000-0001-8409-4689
Gypsyamber D'SouzaDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.ORCID 0000-0002-0575-7948
Hyang Nina KimDivision of Allergy and Infectious Diseases, Departments of Medicine and Epidemiology, University of Washington, Seattle, Washington, United States of America.ORCID 0000-0001-6710-9666
Sonia NapravnikDepartment of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.ORCID 0000-0002-9032-3713
Kathleen McGinnisVeterans Affairs Connecticut Healthcare System, West Haven, Connecticut, United States of America.
Gregory D KirkDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.ORCID 0000-0002-7829-1405
Timothy R SterlingVanderbilt Tuberculosis Center, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America.
Richard D MooreDivision of General Internal Medicine, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, United States of America.
Parastu KasaieDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
Johns Hopkins University · USUniversity of Washington · USEmory University · USKaiser Permanente · USUniversity of Calgary · CAUniversity of North Carolina at Chapel Hill · USVanderbilt University · USAIDS Vancouver · CAHarvard University · USNew Haven Public Schools · USPfizer (United States) · USUniversity of California San Diego · USVA Connecticut Healthcare System · US

Funding

WOMEN'S HEALTH AGENDAU01AI038858 · NIAID · SOCIAL AND SCIENTIFIC SYSTEMS, INC. · PI BENSON, CONSTANCE ANN · 1996 to 2008
$157.5M
AIDS Clinical Trials Group NetworkU01AI068636 · NIAID · SOCIAL AND SCIENTIFIC SYSTEMS, INC. · PI KURITZKES, DANIEL R. · 2006 to 2010
$147.1M
UCSF CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTEUL1RR024131 · NCRR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JOHNSTON, S. CLAIBORNE · 2006 to 2011
$111.2M
University of Washington/Fred Hutch Center for AIDS ResearchP30AI027757 · NIAID · UNIVERSITY OF WASHINGTON · PI EDWIN ROBERTO ORELLANA · 1988 to 2026
$104.9M
Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Unsolicited R24 for the CFAR-Network of Integrated Clinical Sciences, CNICSR24AI067039 · NIAID · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Michael S. Saag · 2006 to 2026
$99.4M
Virology CoreP30AI027763 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MALLORY O JOHNSON · 1988 to 2026
$93.6M
Implementing a Maternal health and PRegnancy Outcomes Vision for Everyone (IMPROVE)UL1TR002378 · NCATS · EMORY UNIVERSITY · PI Andres J Garcia, Elizabeth O. Ofili · 2017 to 2026
$92.1M
Virology CoreP30AI027767 · NIAID · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Latesha Ellen Elopre · 1988 to 2026
$84.1M
VirologyP30AI036214 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI David Mitchell Smith · 1994 to 2026
$78.4M
STATISTICAL AND DATA MANAGEMENT CENTERU01AI038855 · NIAID · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI HUGHES, MICHAEL DAVID · 1996 to 2006
$78.1M
Engaging University of California Stakeholders for Biorespository ResearchUL1TR000004 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GRANDIS, JENNIFER RUBIN · 2012 to 2015
$78.0M
Intramural NIH HHS Z01 CP010176NCATS NIH HHS KL2 TR000421NCATS NIH HHS UL1 TR000004NCATS NIH HHS UL1 TR000083NCATS NIH HHS UL1 TR001863NCATS NIH HHS UL1 TR002378NCI NIH HHS N01 CP001004NCI NIH HHS N02 CP055504NCRR NIH HHS UL1 RR024131NEI NIH HHS K23 EY013707NEI NIH HHS U10 EY008052NEI NIH HHS U10 EY008057NEI NIH HHS U10 EY008067NHLBI NIH HHS U01 HL146192NHLBI NIH HHS U01 HL146193NHLBI NIH HHS U01 HL146194NHLBI NIH HHS U01 HL146201NHLBI NIH HHS U01 HL146202NHLBI NIH HHS U01 HL146203NHLBI NIH HHS U01 HL146204NHLBI NIH HHS U01 HL146205NHLBI NIH HHS U01 HL146208NHLBI NIH HHS U01 HL146240NHLBI NIH HHS U01 HL146241NHLBI NIH HHS U01 HL146242NHLBI NIH HHS U01 HL146245NHLBI NIH HHS U01 HL146333NIAAA NIH HHS R01 AA016893NIAAA NIH HHS U01 AA013566NIAAA NIH HHS U01 AA020790NIAAA NIH HHS U24 AA020794NIAID NIH HHS F31 AI124794NIAID NIH HHS K01 AI093197NIAID NIH HHS K01 AI131895NIAID NIH HHS K01 AI138853NIAID NIH HHS K24 AI065298NIAID NIH HHS K24 AI118591NIAID NIH HHS P30 AI027757NIAID NIH HHS P30 AI027763NIAID NIH HHS P30 AI027767NIAID NIH HHS P30 AI036214NIAID NIH HHS P30 AI036219NIAID NIH HHS P30 AI050409NIAID NIH HHS P30 AI050410NIAID NIH HHS P30 AI094189NIAID NIH HHS P30 AI110527NIAID NIH HHS R24 AI067039NIAID NIH HHS U01 AI038855NIAID NIH HHS U01 AI038858NIAID NIH HHS U01 AI068634NIAID NIH HHS U01 AI068636NIAID NIH HHS U01 AI069432NIAID NIH HHS U01 AI069434NIAID NIH HHS U01 AI069918NIA NIH HHS R01 AG053100NIA NIH HHS R01 AG069575NIA NIH HHS R56 AG081148NIDA NIH HHS F31 DA037788NIDA NIH HHS K24 DA000432NIDA NIH HHS R01 DA011602NIDA NIH HHS R01 DA012568NIDA NIH HHS R34 DA045592NIDA NIH HHS U01 DA036297NIDA NIH HHS U01 DA036935NIGMS NIH HHS U54 GM133807NIMHD NIH HHS G12 MD007583NIMH NIH HHS P30 MH062246
6 · The paper itself

Abstract

backgroundEstimating the medical complexity of people aging with HIV can inform clinical programs and policy to meet future healthcare needs. The objective of our study was to forecast the prevalence of comorbidities and multimorbidity among people with HIV (PWH) using antiretroviral therapy (ART) in the United States (US) through 2030. METHODS AND

findingsUsing the PEARL model-an agent-based simulation of PWH who have initiated ART in the US-the prevalence of anxiety, depression, stage ≥3 chronic kidney disease (CKD), dyslipidemia, diabetes, hypertension, cancer, end-stage liver disease (ESLD), myocardial infarction (MI), and multimorbidity (≥2 mental or physical comorbidities, other than HIV) were forecasted through 2030. Simulations were informed by the US CDC HIV surveillance data of new HIV diagnosis and the longitudinal North American AIDS Cohort Collaboration on Research and Design (NA-ACCORD) data on risk of comorbidities from 2009 to 2017. The simulated population represented 15 subgroups of PWH including Hispanic, non-Hispanic White (White), and non-Hispanic Black/African American (Black/AA) men who have sex with men (MSM), men and women with history of injection drug use and heterosexual men and women. Simulations were replicated for 200 runs and forecasted outcomes are presented as median values (95% uncertainty ranges are presented in the Supporting information). In 2020, PEARL forecasted a median population of 670,000 individuals receiving ART in the US, of whom 9% men and 4% women with history of injection drug use, 60% MSM, 8% heterosexual men, and 19% heterosexual women. Additionally, 44% were Black/AA, 32% White, and 23% Hispanic. Along with a gradual rise in population size of PWH receiving ART-reaching 908,000 individuals by 2030-PEARL forecasted a surge in prevalence of most comorbidities to 2030. Depression and/or anxiety was high and increased from 60% in 2020 to 64% in 2030. Hypertension decreased while dyslipidemia, diabetes, CKD, and MI increased. There was little change in prevalence of cancer and ESLD. The forecasted multimorbidity among PWH receiving ART increased from 63% in 2020 to 70% in 2030. There was heterogeneity in trends across subgroups. Among Black women with history of injection drug use in 2030 (oldest demographic subgroup with median age of 66 year), dyslipidemia, CKD, hypertension, diabetes, anxiety, and depression were most prevalent, with 92% experiencing multimorbidity. Among Black MSM in 2030 (youngest demographic subgroup with median age of 42 year), depression and CKD were highly prevalent, with 57% experiencing multimorbidity. These results are limited by the assumption that trends in new HIV diagnoses, mortality, and comorbidity risk observed in 2009 to 2017 will persist through 2030; influences occurring outside this period are not accounted for in the forecasts.

conclusionsThe PEARL forecasts suggest a continued rise in comorbidity and multimorbidity prevalence to 2030, marked by heterogeneities across race/ethnicity, gender, and HIV acquisition risk subgroups. HIV clinicians must stay current on the ever-changing comorbidities-specific guidelines to provide guideline-recommended care. HIV clinical directors should ensure linkages to subspecialty care within the clinic or by referral. HIV policy decision-makers must allocate resources and support extended clinical capacity to meet the healthcare needs of people aging with HIV.

Indexed as

Diabetes MellitusDyslipidemiasHIV InfectionsHypertensionNeoplasmsRenal Insufficiency, ChronicSexual and Gender MinoritiesComorbidityFemaleHomosexuality, MaleHumansMaleMultimorbidityPrevalenceUnited States

Identifiers

PMID38215160
PMCPMC10833859
OpenAlexW4390828082

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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 OpenQuestion graph.