Evidence map›Paper›PMID 33338028›Full record

ArticleJMIR public health and surveillance2021

COVID-19-Related Hospitalization Rates and Severe Outcomes Among Veterans From 5 Veterans Affairs Medical Centers: Hospital-Based Surveillance Study.

Cristina V Cardemil, Rebecca Dahl, Mila M Prill, Jordan Cates, Sheldon Brown, Adrienne Perea, Vincent Marconi, LaSara Bell, Maria C Rodriguez-Barradas, Gilberto Rivera-Dominguez and 8 more

Open access · goldAbstract read
In one paragraph

Article in JMIR public health and surveillance, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.7field-weighted citation impact, top 8% 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

22 citing papers in PubMed, 36 citations in OpenAlex.

  1. Mortality Trends in Pre-COVID-19 and COVID-19 Eras Among Oldest Veterans.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025
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  16. COVID-19 in Veterans: A Narrative Review.Risk management and healthcare policy · 2022
    Review
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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

18 authors at 8 institutions in 1 country.

Cristina V CardemilCenters for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0000-0002-5898-6154
Rebecca DahlCenters for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0000-0001-8245-1769
Mila M PrillCenters for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0000-0002-1175-417X
Jordan CatesCenters for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0000-0003-4300-7416
Sheldon BrownJames J. Peters VA Medical Center, New York, NY, United States.ORCID 0000-0002-4563-4854
Adrienne PereaJames J. Peters VA Medical Center, New York, NY, United States.ORCID 0000-0002-5524-6767
Vincent MarconiAtlanta VA Medical Center, Atlanta, GA, United States.ORCID 0000-0001-8409-4689
LaSara BellAtlanta VA Medical Center, Atlanta, GA, United States.ORCID 0000-0002-8844-2481
Maria C Rodriguez-BarradasInfectious Diseases Section, Department of Medicine, Baylor College of Medicine, Houston, TX, United States.ORCID 0000-0003-2446-2667
Gilberto Rivera-DominguezInfectious Diseases Section, Department of Medicine, Baylor College of Medicine, Houston, TX, United States.ORCID 0000-0003-2672-0631
David BeenhouwerVA Greater Los Angeles Healthcare System, Los Angeles, CA, United States.ORCID 0000-0001-9254-167X
Aleksandra PoteshkinaVA Greater Los Angeles Healthcare System, Los Angeles, CA, United States.ORCID 0000-0002-1559-7204
Mark HolodniyPublic Health Surveillance and Research, Department of Veterans Affairs, Washington, DC, United States.ORCID 0000-0002-6655-7982
Cynthia Lucero-ObusanPublic Health Surveillance and Research, Department of Veterans Affairs, Washington, DC, United States.ORCID 0000-0003-4378-5293
Neha BalachandranCenters for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0000-0002-1922-3832
Aron J HallCenters for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0000-0001-7250-1013
Lindsay KimCenters for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0000-0001-7689-749X
Gayle LangleyCenters for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0000-0002-9126-599X
Centers for Disease Control and Prevention · USJames J. Peters VA Medical Center · USMichael E. DeBakey VA Medical Center · USVA Palo Alto Health Care System · USAtlanta Medical Center · USEmory University · USUniversity of California, Los Angeles · USVA Greater Los Angeles Healthcare System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCOVID-19 has disproportionately affected older adults and certain racial and ethnic groups in the United States. Data quantifying the disease burden, as well as describing clinical outcomes during hospitalization among these groups, are needed.

objectiveWe aimed to describe interim COVID-19 hospitalization rates and severe clinical outcomes by age group and race and ethnicity among US veterans by using a multisite surveillance network.

methodsWe implemented a multisite COVID-19 surveillance platform in 5 Veterans Affairs Medical Centers located in Atlanta, Bronx, Houston, Palo Alto, and Los Angeles, collectively serving more than 396,000 patients annually. From February 27 to July 17, 2020, we actively identified inpatient cases with COVID-19 by screening admitted patients and reviewing their laboratory test results. We then manually abstracted the patients' medical charts for demographics, underlying medical conditions, and clinical outcomes. Furthermore, we calculated hospitalization incidence and incidence rate ratios, as well as relative risk for invasive mechanical ventilation, intensive care unit admission, and case fatality rate after adjusting for age, race and ethnicity, and underlying medical conditions.

resultsWe identified 621 laboratory-confirmed, hospitalized COVID-19 cases. The median age of the patients was 70 years, with 65.7% (408/621) aged ≥65 years and 94% (584/621) male. Most COVID-19 diagnoses were among non-Hispanic Black (325/621, 52.3%) veterans, followed by non-Hispanic White (153/621, 24.6%) and Hispanic or Latino (112/621, 18%) veterans. Hospitalization rates were the highest among veterans who were ≥85 years old, Hispanic or Latino, and non-Hispanic Black (430, 317, and 298 per 100,000, respectively). Veterans aged ≥85 years had a 14-fold increased rate of hospitalization compared with those aged 18-29 years (95% CI: 5.7-34.6), whereas Hispanic or Latino and Black veterans had a 4.6- and 4.2-fold increased rate of hospitalization, respectively, compared with non-Hispanic White veterans (95% CI: 3.6-5.9). Overall, 11.6% (72/621) of the patients required invasive mechanical ventilation, 26.6% (165/621) were admitted to the intensive care unit, and 16.9% (105/621) died in the hospital. The adjusted relative risk for invasive mechanical ventilation and admission to the intensive care unit did not differ by age group or race and ethnicity, but veterans aged ≥65 years had a 4.5-fold increased risk of death while hospitalized with COVID-19 compared with those aged <65 years (95% CI: 2.4-8.6).

conclusionsCOVID-19 surveillance at the 5 Veterans Affairs Medical Centers across the United States demonstrated higher hospitalization rates and severe outcomes among older veterans, as well as higher hospitalization rates among Hispanic or Latino and non-Hispanic Black veterans than among non-Hispanic White veterans. These findings highlight the need for targeted prevention and timely treatment for veterans, with special attention to older aged, Hispanic or Latino, and non-Hispanic Black veterans.

Indexed as

Hospitals, VeteransAgedAged, 80 and overAge DistributionBlack or African AmericanCOVID-19FemaleHealth Status DisparitiesHispanic or LatinoHospitalizationHumansMalePopulation SurveillanceTreatment OutcomeUnited StatesVeteransat-riskCOVID-19fatalityhospitalizationmortalityoutcomepreventionveteran

Identifiers

PMID33338028
PMCPMC7836907
OpenAlexW3111200400

What OpenQuestion holds

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LicenceCC BY
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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.