Evidence map›Paper›PMID 40354184›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2025

HIV Infection and Long COVID: A RECOVER Program, Electronic Health Record-Based Cohort Study.

Kellie L Hawkins, Dima Dandachi, Zoe Verzani, M Daniel Brannock, Colby Lewis, Sajjad Abedian, Sohrab Jaferian, Shannon Wuller, Jennifer Truong, Margot Gage Witvliet and 15 more

Abstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 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. Article
  2. Review
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

25 authors.

Kellie L HawkinsPublic Health Institute at Denver Health, Denver, CO, USA.ORCID 0009-0002-2380-6093
Dima DandachiDivision of Infectious Diseases, Department of Medicine, University of Missouri, Columbia, MO, USA.ORCID 0000-0002-8641-0988
Zoe VerzaniWeill Cornell Medicine, Department of Population Health Sciences, New York, NY, USA.ORCID 0000-0001-6183-9254
M Daniel BrannockRTI International, Research Triangle Park, NC, USA.ORCID 0000-0001-8095-547X
Colby LewisWeill Cornell Medicine, Department of Population Health Sciences, New York, NY, USA.ORCID 0000-0001-5765-0352
Sajjad AbedianWeill Cornell Medicine, Department of Information Technologies and Services, New York, NY, USA.
Sohrab JaferianUniversity of Rochester School of Medicine, Department of Public Health Sciences, Rochester, NY, USA.ORCID 0000-0003-2158-2161
Shannon WullerLangone Medical Center, New York University, New York, NY, USA.
Jennifer TruongLangone Medical Center, New York University, New York, NY, USA.ORCID 0000-0003-0255-0287
Margot Gage WitvlietLamar University, Department of Sociology, Lamar, TX, USA.
Gretchen DymondCommunity Advisory Board, University of Colorado, Aurora, CO, USA.
Hemalkumar B MehtaDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.ORCID 0000-0001-9134-6370
Payal B PatelUniversity of Washington, Department of Neurology, Seattle, WA, USA.
Elaine HillUniversity of Rochester School of Medicine, Department of Public Health Sciences, Rochester, NY, USA.
Mark G WeinerWeill Cornell Medicine, Department of Population Health Sciences, New York, NY, USA.ORCID 0000-0001-5586-9940
Thomas W CartonLouisiana Public Health Institute, New Orleans, LA, USA.ORCID 0000-0003-0059-1990
Rainu KaushalWeill Cornell Medicine, Department of Pediatrics, New York, NY, USA.
Elen FeuerriegelDivision of Infectious Disease, Department of Medicine, University of Colorado, Aurora, CO, USA.
Huong G TranDivision of Infectious Disease, Department of Medicine, University of Colorado, Aurora, CO, USA.
Kristen MarksWeill Cornell Medicine, Department of Medicine, New York, NY, USA.
Carlos R OliveiraDivision of Infectious Diseases and Global Health, Department of Pediatrics, Yale University School of Medicine, New Haven, CT, USA.ORCID 0000-0003-1897-6581
Edward M GardnerPublic Health Institute at Denver Health, Denver, CO, USA.
Igho OfotokunEmory University School of Medicine, Department of Medicine, Atlanta, GA, USA.ORCID 0000-0003-2735-1903
Roy M GulickWeill Cornell Medicine, Department of Medicine, New York, NY, USA.ORCID 0000-0002-1431-8912
Kristine M ErlandsonDivision of Infectious Disease, Department of Medicine, University of Colorado, Aurora, CO, USA.ORCID 0000-0003-0808-6729

Funding

OTA-21-015A Post-Acute Sequelae of SARS-CoV-2 Infection Initiative: NYU Langone Health Clinical Science Core, Data Resource Core, and PASC Biorepository CoreOT2HL161847 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI GROSS, RACHEL SHARON, HORWITZ, LEORA · 2021 to 2025
$651.0M
Mentoring Across Disciplines: Aging and Infectious Diseases with a Focus on MobilityK24AG082527 · NIA · UNIVERSITY OF COLORADO DENVER · PI Kristine Mace Erlandson · 2023 to 2026
$768k
Clinical Epidemiology of Pediatric COVID-19 and MIS-CK23AI159518 · NIAID · YALE UNIVERSITY · PI OLIVEIRA, CARLOS RAFAEL · 2021 to 2024
$729k
NIAID NIH HHS K23 AI159518NIA NIH HHS K24 AG082527NIA NIH HHS K24 AGE082527NIH HHS OT2HL161847
6 · The paper itself

Abstract

backgroundPeople with human immunodeficiency virus (HIV) may be at increased risk for long COVID after acute severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. We investigated the association between HIV and long COVID in 2 large electronic health record databases.

methodsUsing data from the Patient-Centered Clinical Research Network (PCORnet) and the National Clinical Cohort Collaborative (N3C) from 1 January 2018 to 30 April 2024, our analytic sample included individuals aged ≥21 years with SARS-CoV-2. All individuals were classified as having HIV or not. We estimated the adjusted odds ratio (aOR) of long COVID by HIV status using logistic regression. Multivariable models controlled for potential associated factors and used 2 cohort definitions: a computed phenotype definition or ICD-10 code-based definition.

resultsWe included 1 369 896 patients from PCORnet (11 964 with and 1 357 932 without HIV) and 3 312 355 patients from N3C (23 931 with and 3 288 424 without HIV). Using the computed phenotype definition of long COVID, we noted a small, but significant, increase in odds of developing long COVID among people with compared to those without HIV (PCORnet: aOR, 1.09 [95% confidence interval {CI}, 1.04-1.14]; N3C: aOR, 1.18 [95% CI, 1.13-1.23]). Using the ICD-10 definition of long COVID, there was no association between HIV and long COVID (PCORnet: aOR, 1.01 [95% CI, .88-1.16]; N3C: aOR, 1.07 [95% CI, .97-1.18]).

conclusionsIn this large multicenter study, people with HIV had a modestly increased risk of long COVID when defined by a computed phenotype, but not when using ICD-10 codes. These findings suggest that long COVID may be underrecognized in people with HIV and underscore challenges in diagnosing long COVID in populations with baseline chronic conditions.

Indexed as

COVID-19HIV InfectionsAdultAgedCohort StudiesElectronic Health RecordsFemaleHumansMaleMiddle AgedPost-Acute COVID-19 SyndromeRisk FactorsSARS-CoV-2Chronic diseasesHealth disparitiesHIVLong COVIDSARS-CoV-2

Identifiers

PMID40354184
PMCPMC12497945

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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.