Evidence map›Paper›PMID 33175863›Full record

ArticlePloS one2020

Development and validation of a 30-day mortality index based on pre-existing medical administrative data from 13,323 COVID-19 patients: The Veterans Health Administration COVID-19 (VACO) Index.

Joseph T King, James S Yoon, Christopher T Rentsch, Janet P Tate, Lesley S Park, Farah Kidwai-Khan, Melissa Skanderson, Ronald G Hauser, Daniel A Jacobson, Joseph Erdos and 4 more

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 1 pooled it
–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

62 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Mortality in narcolepsy and other sleep clinic patients: a 25-year propensity-matched VA cohort study.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2026
    Article
  3. Article
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  7. Usefulness of the CHAMicroorganisms · 2024
    Article
  8. Article
  9. Article
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  11. Article
  12. Leveraging the Million Veteran Program Infrastructure and Data for a Rapid Research Response to COVID-19.Federal practitioner : for the health care professionals of the VA, DoD, and PHS · 2023
    Article
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  17. Observational
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2 more citing papers are in PubMed but not listed here.

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

14 authors.

Joseph T KingVA Connecticut Healthcare System, U.S. Department of Veterans Affairs, West Haven, Connecticut, United States of America.ORCID 0000-0003-2823-9649
James S YoonVA Connecticut Healthcare System, U.S. Department of Veterans Affairs, West Haven, Connecticut, United States of America.
Christopher T RentschVA Connecticut Healthcare System, U.S. Department of Veterans Affairs, West Haven, Connecticut, United States of America.ORCID 0000-0002-1408-7907
Janet P TateVA Connecticut Healthcare System, U.S. Department of Veterans Affairs, West Haven, Connecticut, United States of America.
Lesley S ParkStanford Center for Population Health Sciences, Stanford University School of Medicine, Stanford, California, United States of America.ORCID 0000-0002-3848-7753
Farah Kidwai-KhanVA Connecticut Healthcare System, U.S. Department of Veterans Affairs, West Haven, Connecticut, United States of America.
Melissa SkandersonVA Connecticut Healthcare System, U.S. Department of Veterans Affairs, West Haven, Connecticut, United States of America.
Ronald G HauserVA Connecticut Healthcare System, U.S. Department of Veterans Affairs, West Haven, Connecticut, United States of America.ORCID 0000-0002-7361-7162
Daniel A JacobsonOak Ridge National Laboratory, Biosciences Division, Oak Ridge, Tennessee, United States of America.ORCID 0000-0002-9822-8251
Joseph ErdosVA Connecticut Healthcare System, U.S. Department of Veterans Affairs, West Haven, Connecticut, United States of America.
Kelly ChoVA Boston Healthcare System, U.S. Department of Veterans Affairs, Boston, Massachusetts, United States of America.
Rachel RamoniOffice of Research and Development, Veterans Health Administration, United States Department of Veterans Affairs, Washington, DC, United States of America.
David R GagnonDepartment of Neurosurgery, Yale School of Medicine, New Haven, Connecticut, United States of America.ORCID 0000-0002-6367-3179
Amy C JusticeVA Connecticut Healthcare System, U.S. Department of Veterans Affairs, West Haven, Connecticut, United States of America.ORCID 0000-0003-0139-5502

Funding

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
Sex Disparities in Overall Response to ART Among HIV Infected IndividualsU24AA020794 · NIAAA · YALE UNIVERSITY · PI JUSTICE, AMY CAROLINE · 2011 to 2020
$5.5M
3/3 COMpAAAS Tripartite: ART-CC, KP, and VAU01AA026224 · NIAAA · YALE UNIVERSITY · PI JUSTICE, AMY CAROLINE · 2017 to 2021
$2.9M
NIAAA NIH HHS U01 AA020790NIAAA NIH HHS U01 AA026224NIAAA NIH HHS U10 AA013566NIAAA NIH HHS U24 AA020794
6 · The paper itself

Abstract

backgroundAvailable COVID-19 mortality indices are limited to acute inpatient data. Using nationwide medical administrative data available prior to SARS-CoV-2 infection from the US Veterans Health Administration (VA), we developed the VA COVID-19 (VACO) 30-day mortality index and validated the index in two independent, prospective samples. METHODS AND

findingsWe reviewed SARS-CoV-2 testing results within the VA between February 8 and August 18, 2020. The sample was split into a development cohort (test positive between March 2 and April 15, 2020), an early validation cohort (test positive between April 16 and May 18, 2020), and a late validation cohort (test positive between May 19 and July 19, 2020). Our logistic regression model in the development cohort considered demographics (age, sex, race/ethnicity), and pre-existing medical conditions and the Charlson Comorbidity Index (CCI) derived from ICD-10 diagnosis codes. Weights were fixed to create the VACO Index that was then validated by comparing area under receiver operating characteristic curves (AUC) in the early and late validation cohorts and among important validation cohort subgroups defined by sex, race/ethnicity, and geographic region. We also evaluated calibration curves and the range of predictions generated within age categories. 13,323 individuals tested positive for SARS-CoV-2 (median age: 63 years; 91% male; 42% non-Hispanic Black). We observed 480/3,681 (13%) deaths in development, 253/2,151 (12%) deaths in the early validation cohort, and 403/7,491 (5%) deaths in the late validation cohort. Age, multimorbidity described with CCI, and a history of myocardial infarction or peripheral vascular disease were independently associated with mortality-no other individual comorbid diagnosis provided additional information. The VACO Index discriminated mortality in development (AUC = 0.79, 95% CI: 0.77-0.81), and in early (AUC = 0.81 95% CI: 0.78-0.83) and late (AUC = 0.84, 95% CI: 0.78-0.86) validation. The VACO Index allows personalized estimates of 30-day mortality after COVID-19 infection. For example, among those aged 60-64 years, overall mortality was estimated at 9% (95% CI: 6-11%). The Index further discriminated risk in this age stratum from 4% (95% CI: 3-7%) to 21% (95% CI: 12-31%), depending on sex and comorbid disease.

conclusionPrior to infection, demographics and comorbid conditions can discriminate COVID-19 mortality risk overall and within age strata. The VACO Index reproducibly identified individuals at substantial risk of COVID-19 mortality who might consider continuing social distancing, despite relaxed state and local guidelines.

Indexed as

AdultAgedAged, 80 and overAge FactorsArea Under CurveBetacoronavirusComorbidityCoronavirus InfectionsCOVID-19Databases, FactualEthnicityFemaleHumansLogistic ModelsMaleMiddle Aged

Identifiers

PMID33175863
PMCPMC7657526

What OpenQuestion holds

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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.