Evidence map›Paper›PMID 40857055›Full record

ArticleJournal of acquired immune deficiency syndromes (1999)2025

Depression Improves the Predictive Accuracy of the VACS Index 2.0 for All-Cause Mortality Among Sexual Minority Men Living With HIV in the Multicenter AIDS Cohort Study.

Yuhang Qian, Warren S Comulada, Marco A Hidalgo, Sung-Jae Lee, M Reuel Friedman, Frank J Palella, Michael W Plankey, Gypsyamber D'Souza, Roger Detels, Matthew J Mimiaga

Abstract readMulticenter Study
In one paragraph

Article in Journal of acquired immune deficiency syndromes (1999), 2025. 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
–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

0 citing papers in PubMed.

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

10 authors.

Yuhang QianDepartment of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA.
Warren S ComuladaDepartment of Psychiatry and Biobehavioral Sciences, UCLA Geffen School of Medicine, Los Angeles, CA.
Marco A HidalgoDepartment of Medicine, UCLA Geffen School of Medicine, Los Angeles, CA.
Sung-Jae LeeDepartment of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA.
M Reuel FriedmanSchool of Public Health, Newark, Rutgers, the State University of New Jersey, New Brunswick, NJ.
Frank J PalellaDivision of Infectious Diseases, Feinberg School of Medicine, Northwestern University, Chicago, IL.
Michael W PlankeyDepartment of Medicine, Division of General Internal Medicine, Georgetown University, Washington, DC; and.
Gypsyamber D'SouzaDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Roger DetelsDepartment of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA.
Matthew J MimiagaDepartment of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA.

Funding

UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
Virology CoreP30AI027767 · NIAID · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Paul A. Goepfert · 1988 to 2026
$84.1M
Engaging University of California Stakeholders for Biorespository ResearchUL1TR000004 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GRANDIS, JENNIFER RUBIN · 2012 to 2015
$78.0M
Virology, Immunology, and Microbiology CoreP30AI050410 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVID M. MARGOLIS · 2001 to 2026
$76.9M
Virology and Molecular Biomarkers CoreP30AI050409 · NIAID · EMORY UNIVERSITY · PI Ann M Chahroudi, Colleen F Kelley · 2002 to 2026
$74.0M
QAQC Johns Hopkins Institute for Clinical and Translational ResearchUL1TR003098 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2019 to 2023
$57.7M
Maternal Morbidity and Mortality: Risk Factors, Early Detection and Personalized InterventionUL1TR001409 · NCATS · GEORGETOWN UNIVERSITY · PI GONDRE-LEWIS, MARJORIE C, MELLMAN, THOMAS A · 2015 to 2024
$37.8M
SF Bay Area MACS/WIHS Combined Cohort StudyU01HL146242 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Bradley E Aouizerat, Jennifer Cohen Price · 2019 to 2026
$36.3M
Sex differences in the role of multi-omicsin HIV-associated carotid artery atherosclerosisU01HL146193 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI Stephen J Gange, Elizabeth Topper · 2019 to 2026
$35.8M
University of Miami Developmental Center for AIDS Research (D-CFAR)P30AI073961 · NIAID · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Savita Pahwa · 2007 to 2026
$33.8M
Clinical Research Sites for the MACS/WIHS Combined Cohort Study (MACS/WIHS-CCS) - Baltimore/Wash DC Center - Admin Supplement: Vision and dual sensory loss in HIV-infected older adultsU01HL146201 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI TODD T BROWN, Joseph B. Margolick · 2019 to 2026
$33.7M
Sex differences in the role of multi-omics in HIV-associated carotid artery atherosclerosisU01HL146204 · NHLBI · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI David B. Hanna, Anjali Sharma · 2019 to 2026
$33.2M
NCATS NIH HHS KL2 TR001432NCATS NIH HHS TL1 TR001431NCATS NIH HHS UL1 TR000004NCATS NIH HHS UL1 TR001409NCATS NIH HHS UL1 TR001881NCATS NIH HHS UL1 TR003098NHLBI 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 HL146333NHLBI NIH HHS U01-HL146333NIAID NIH HHS P30 AI027767NIAID NIH HHS P30 AI050409NIAID NIH HHS P30 AI050410NIAID NIH HHS P30 AI073961NIMH NIH HHS P30 MH116867
6 · The paper itself

Abstract

backgroundThe Veterans Aging Cohort Study (VACS) Index 2.0 accurately predicts mortality using age and clinical biomarkers, but adding behavioral and psychosocial factors that are common among sexual minority men (SMM) may improve its predictive accuracy. We examined whether adding these factors would improve mortality prediction among SMM living with HIV.

methodsWe included 1438 SMM in the Multicenter AIDS Cohort Study who initiated highly active antiretroviral therapy for at least 1 year between January 1996 and September 2022. We divided the sample into development (70%) and validation (30%) sets. We used Cox proportional hazards models to develop new indices in the development set by adding binary behavioral and psychosocial factors (depression, cigarette smoking, heavy alcohol use, polydrug use) or the total number of these factors in the VACS Index 2.0 and estimated mortality using Weibull survival models. We compared accuracy using C-statistics and calibration curves in the validation set and within subgroups (age, race, CD4 count, and viral suppression).

resultsAmong the 1438 SMM, 83 (5.8%) died within 5 years of follow-up. Depression significantly predicted 5-year mortality after adjusting for the VACS Index 2.0 and resulted in a 70% increased risk of death (adjusted hazard ratio = 1.70, 95% confidence interval: 1.10 to 2.63) compared with men without depression. The addition of depression improved C-statistics from 0.818 to 0.851 in the development set. Results were robust in all subgroups.

conclusionsIncluding depression improved the VACS Index 2.0 in predicting mortality. Screening and treating depression could improve health and reduce mortality among SMM living with HIV.

Indexed as

DepressionHIV InfectionsSexual and Gender MinoritiesAdultAntiretroviral Therapy, Highly ActiveCohort StudiesHumansMaleMiddle AgedProportional Hazards ModelsVeteransbehavioral and psychosocial factorsHIVmortalitysexual minority menVACS Index

Identifiers

PMID40857055
PMCPMC12433150

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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 OpenQuestion graph.