Evidence map›Paper›PMID 41136644›Full record

ArticleCommunications medicine2025

Pre-existing comorbidities and hospitalization for COVID-19 are associated with post-COVID conditions in the U.S. veteran population.

Aaron J Miller, Guo Wei, Gregory J Stoddard, Sujee Jeyapalina, Jayant P Agarwal

Abstract read
In one paragraph

Article in Communications medicine, 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. Cognitive impairment in long-COVID: frequency, trajectories and risk factors in a cohort study from Italy.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Article
  2. Observational
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

5 authors.

Aaron J Miller *Research, George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, UT, USA.
Guo WeiDivision of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA.
Gregory J StoddardDivision of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA.
Sujee Jeyapalina *Research, George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, UT, USA. sujee.jeyapalina@hsc.utah.edu.
Jayant P Agarwal *Research, George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, UT, USA. jay.agarwal@hsc.utah.edu.

Funding

CTSA UM1 Program at University of UtahUM1TR004409 · NCATS · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI RACHEL HESS, Jennifer Juhl Majersik · 2023 to 2026
$21.9M
Gilead Sciences (Gilead) CO-US-983-6072NCATS NIH HHS UM1 TR004409U.S. Department of Health & Human Services | NIH | National Center for Advancing Translational Sciences (NCATS) UM1TR004409
6 · The paper itself

Abstract

introductionAlthough most survivors of COVID-19 return to their baseline health within two weeks, a notable proportion of individuals continue experiencing symptoms, collectively referred to as Post-COVID Conditions (PCC). To better understand risks associated with contracting PCC, this study aimed to determine whether association exists between pre-existing comorbidities, hospitalization for COVID-19 and the subsequent diagnosis of PCC in US veterans.

methodsThis retrospective cohort study collected data from the US Department of Veterans Affairs electronic medical records from September 1, 2021, to July 31, 2023. Participants were limited to those with electronic medical records of a SARS-CoV-2 infection, who received care from the Veterans Affairs hospital system and survived at least 28 days following the infection.

resultsThe multivariable logistic regression analysis reveals in hospitalized veterans, chronic obstructive pulmonary disease (COPD) associates with a 21% increase in odds of a PCC diagnosis (adjusted OR 1.21, 95%CI 1.14-1.29; p < 0.001), while in non-hospitalized veterans, chronic kidney disease (OR 1.09 95%CI 1.03-1.15; p = 0.001)) and COPD (OR 1.33, 95%CI 1.27-1.40; p < 0.001) demonstrate an increase in odds of a PCC diagnosis. Additionally, unvaccinated and partially vaccinated veterans exhibit significantly higher odds for PCC (p < 0.001) compared to fully vaccinated veterans in both the hospitalized and non-hospitalized cohorts. Increasing age, increasing BMI, female sex, Hispanic ethnicity, and veterans residing in the Southwestern United States show a significant (p < 0.05) increase in risk for a positive diagnosis of PCC in both groups.

conclusionsVeterans with pre-existing COPD or those hospitalized at the time of COVID-19 (indicating disease severity) are at higher risk of receiving a PCC diagnosis.

Identifiers

PMID41136644
PMCPMC12552489

What Socratic 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 Socratic graph.