Evidence map›Paper›PMID 38356736›Full record

ArticleFrontiers in medicine2023

Combining Charlson comorbidity and VACS indices improves prognostic accuracy for all-cause mortality for patients with and without HIV in the Veterans Health Administration.

Kathleen A McGinnis, Amy C Justice, Vincent C Marconi, Maria C Rodriguez-Barradas, Ronald G Hauser, Krisann K Oursler, Sheldon T Brown, Kendall J Bryant, Janet P Tate, Veterans Aging Cohort Study

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
5.5field-weighted citation impact, top 5% 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

10 citing papers in PubMed, 8 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 7 institutions in 1 country.

Kathleen A McGinnisVA Connecticut Healthcare System, West Haven, CT, United States.
Amy C JusticeVA Connecticut Healthcare System, West Haven, CT, United States.
Vincent C MarconiThe Atlanta Veterans Affairs Medical Center, Emory University School of Medicine and Rollins School of Public Health, Atlanta, GA, United States.
Maria C Rodriguez-BarradasInfectious Diseases Section, Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX, United States.
Ronald G HauserVA Connecticut Healthcare System, West Haven, CT, United States.
Krisann K OurslerDepartment of Internal Medicine, Virginia Tech Carilion School of Medicine, Roanoke, VA, United States.
Sheldon T BrownJames J. Peters VA Medical Center, Bronx, NY, United States.
Kendall J BryantNational Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, United States.
Janet P TateVA Connecticut Healthcare System, West Haven, CT, United States.
Veterans Aging Cohort Study
VA Connecticut Healthcare System · USYale University · USBaylor College of Medicine · USEmory University · USJames J. Peters VA Medical Center · USNational Institute on Alcohol Abuse and Alcoholism · USSalem VA Medical Center · US

Funding

Virology and Molecular Biomarkers CoreP30AI050409 · NIAID · EMORY UNIVERSITY · PI Ann M Chahroudi, Colleen F Kelley · 2002 to 2026
$74.0M
Alcohol Associated Outcomes Among HIV+/- Aging VeteransU10AA013566 · NIAAA · YALE UNIVERSITY · PI JUSTICE, AMY CAROLINE · 2006 to 2010
$12.7M
Alcohol and Multisubstance Use in the Veterans Aging Cohort StudyU01AA020790 · NIAAA · YALE UNIVERSITY · PI JUSTICE, AMY CAROLINE · 2011 to 2020
$7.7M
The HIV and Alcohol Research center focused on Polypharmacy (HARP)P01AA029545 · NIAAA · YALE UNIVERSITY · PI JUSTICE, AMY CAROLINE · 2021 to 2025
$6.3M
Sex Disparities in Overall Response to ART Among HIV Infected IndividualsU24AA020794 · NIAAA · YALE UNIVERSITY · PI JUSTICE, AMY CAROLINE · 2011 to 2020
$5.5M
Integrated Stepped Care for Unhealthy Alcohol Use in HIVU01AA020795 · NIAAA · YALE UNIVERSITY · PI FIELLIN, DAVID · 2011 to 2020
$5.2M
NIAAA NIH HHS P01 AA029545NIAAA NIH HHS U01 AA020790NIAAA NIH HHS U01 AA020795NIAAA NIH HHS U10 AA013566NIAAA NIH HHS U24 AA020794NIAID NIH HHS P30 AI050409
6 · The paper itself

Abstract

Introduction: As people age with HIV (PWH), many comorbid diseases are more common than among age matched comparators without HIV (PWoH). While the Veterans Aging Cohort (VACS) Index 2.0 accurately predicts mortality in PWH using age and clinical biomarkers, the only included comorbidity is hepatitis C. We asked whether adding comorbid disease groupings from the Charlson Comorbidity Index (CCI) improves the accuracy of VACS Index. Methods: To maximize our ability to model mortality among older age groups, we began with PWoH in Veterans Health Administration (VA) from 2007-2017, divided into development and validation samples. Baseline predictors included age, and components of CCI and VACS Index (excluding CD4 count and HIV RNA). Patients were followed until December 31, 2021. We used Cox models to develop the VACS-CCI score and estimated mortality using a parametric (gamma) survival model. We compared accuracy using C-statistics and calibration curves in validation overall and within subgroups (gender, age </≥65 years, race/ethnicity, and CCI score). We then applied VACS-CCI in PWH and compared its accuracy to age, VACS Index 2.0, CCI and VACS-CCI with CD4 and HIV RNA added. Results: The analytic sample consisted of 6,588,688 PWoH and 30,539 PWH. Among PWoH/PWH, median age was 65/55 years; 6%/3% were women; 15%/48% were Black and 5%/7% Hispanic. VACS-CCI provided the best discrimination (C-statistic = 0.81) with excellent calibration (predicted and observed mortality largely overlapped) overall and within subgroups. When VACS-CCI was applied to PWH it demonstrated similar discrimination as VACS Index 2.0 (C-statistic = 0.77 for both) but superior calibration among those with CD4 < 200. Discrimination was improved when CD4 and HIV RNA were added VACS-CCI (C-statistic = 0.79). Liver and kidney disease, congestive heart failure, malignancy, and dementia were negatively associated with CD4 ( Discussion: Among PWH and PWoH in VA care, age alone weakly discriminates risk of mortality. VACS Index 2.0, CCI, and VACS-CCI all provide better discrimination, but VACS-CCI is more consistently calibrated. The association of comorbid diseases with lower CD4 underscores the likely role of HIV in non-AIDS conditions. Future work will include adding CD4 and HIV RNA to VACS-CCI and validating it in independent data.

Indexed as

Charlson Comorbidity IndexHIVmortalitypredictionVACS Index

Identifiers

PMID38356736
PMCPMC10864663
OpenAlexW4391396924

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.