Evidence map›Paper›PMID 40057948›Full record

ArticleThe Journal of frailty & aging2025

Cardiometabolic disease among frailty phenotype clusters in adults aging with HIV.

Raymond Jones, Ene M Enogela, Stephanie A Ruderman, Mari M Kitahata, Richard Moore, Jeffrey M Jacobson, Maile Karris, Meredith Greene, Julia Fleming, Sonia Napravnik and 5 more

Abstract read
In one paragraph

Article in The Journal of frailty & aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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

15 authors.

Raymond JonesUniversity of Alabama at Birmingham, Birmingham, AL, USA. Electronic address: raymondjones@uabmc.edu.
Ene M EnogelaUniversity of Alabama at Birmingham, Birmingham, AL, USA.
Stephanie A RudermanUniversity of Washington, Seattle, WA, USA.
Mari M KitahataUniversity of Washington, Seattle, WA, USA.
Richard MooreJohns Hopkins University, Baltimore, MD, USA.
Jeffrey M JacobsonCase Western Reserve University, Cleveland, OH, USA.
Maile KarrisUniversity of California - San Diego, San Diego, CA, USA.
Meredith GreeneUniversity of California - San Francisco, San Francisco, CA, USA.
Julia FlemingHarvard Medical School, Fenway Institute, Boston, MA, USA.
Sonia NapravnikUniversity of North Carolina - Chapel Hill, Chapel Hill, NC, USA.
Greer BurkholderUniversity of Alabama at Birmingham, Birmingham, AL, USA.
Joseph A C DelaneyUniversity of Washington, Seattle, WA, USA.
Heidi M CraneUniversity of Washington, Seattle, WA, USA.
Amanda L WilligUniversity of Alabama at Birmingham, Birmingham, AL, USA.
Thomas W BufordUniversity of Alabama at Birmingham, Birmingham, AL, USA; Birmingham/Atlanta Geriatric Research, Education, and Clinical Center, Birmingham VA Medical Center, Birmingham, AL, USA.

Funding

University of Washington/Fred Hutch Center for AIDS ResearchP30AI027757 · NIAID · UNIVERSITY OF WASHINGTON · PI CONNIE L CELUM · 1988 to 2026
$104.9M
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
VirologyP30AI036214 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SUSAN JANET LITTLE · 1994 to 2026
$78.4M
HIV and Aging Research Consortium (HARC)R33AG067069 · NIA · UNIVERSITY OF WASHINGTON · PI STEVEN N. AUSTAD, Heidi M. Crane · 2020 to 2026
$4.8M
Understanding Health Inequities at the Intersection of the HIV and substance use epidemics across racial/ethnic and other underserved populationsR01DA058938 · NIDA · UNIVERSITY OF WASHINGTON · PI Heidi M. Crane, Rob Fredericksen · 2023 to 2026
$2.8M
Tailored Geriatric Assessment and Management for HIV Care SettingsK76AG064545 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GREENE, MEREDITH · 2019 to 2023
$1.2M
A Pilot Trial of High-Intensity Exercise to Combat Vascular and Cognitive Dysfunction in Older Adults with HIV.K01AG086063 · NIA · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Raymond Jones · 2024 to 2026
$378k
NIAID NIH HHS P30 AI027757NIAID NIH HHS P30 AI036214NIAID NIH HHS R24 AI067039NIA NIH HHS K01 AG086063NIA NIH HHS K76 AG064545NIA NIH HHS R33 AG067069NIDA NIH HHS R01 DA058938
6 · The paper itself

Abstract

backgroundAge-related morbidity, including frailty and cardiometabolic disease has become increasingly prevalent among people living with HIV (PWH), and each frailty characteristic may, independently and synergistically, play a role in cardiometabolic disease.

objectiveTo evaluate the prevalence of unique frailty clusters and the prevalence ratios of cardiometabolic diseases within frailty clusters among a large diverse cohort of PWH in clinical care.

designCross-sectional analyses within longitudinal clinical cohort.

settingThe Center for AIDS Research Network of Integrated Clinical Systems (CNICS) from 8 Clinics

participants4,856 PWH, mean age 61 years. 16 % frail, 45 % pre-frail, 40 % robust. MEASUREMENTS: The validated, modified Fried Phenotype from patient-reported outcomes and clustering (15 clusters) of the frailty characteristics and cardiometabolic diseases (7 diseases and multimorbidity) within each cluster.

resultsAmong 4856 PWH (age: 61 ± 6 years), the prevalence of frail, pre-frail, and robust was 16 %, 45 %, and 40 %, respectively. The most prevalent cardiometabolic disease among frail PWH was hypertension (62.6 %), followed by dyslipidemia (58.8 %) and diabetes (31.4 %). Among pre-frail PWH, the most prevalent cardiometabolic diseases were dyslipidemia (65.8 %), hypertension (61.8 %), and obesity (30.5 %). The prevalence of cardiometabolic disease among frailty clusters varied. For example, PWH in the "fatigue + poor mobility" cluster had a greater prevalence of cerebrovascular disease (PR: 2.23; 95 % CI: 1.01-4.91), diabetes (1.76; 95 % CI: 1.41-2.21), and obesity (1.66; 95 % CI: 1.35-2.05) when compared with robust PWH. Individuals in the "poor mobility" cluster had a higher prevalence of diabetes (1.37; 95 % CI: 1.15-1.64), hypertension (1.12; 95 % CI: 1.04 - 1.22), and obesity (1.38; 95 % CI: 1.17-1.61) compared with robust PWH.

conclusionsThe frailty components, independently and synergistically, were associated with an increased prevalence of cardiometabolic disease. This study identified distinct frailty clusters that may be associated with increased prevalence of cardiometabolic disease among PWH.

Indexed as

AgingCardiovascular DiseasesFrailtyHIV InfectionsMetabolic DiseasesAgedCluster AnalysisComorbidityCross-Sectional StudiesFemaleHumansLongitudinal StudiesMaleMiddle AgedPhenotypePrevalenceAgingFrailtyHIV

Identifiers

PMID40057948
PMCPMC12183949

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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.