Evidence map›Paper›PMID 38013151›Full record

ArticleInternational journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases2024

COVID-19 breakthrough infections among people living with and without HIV: A statewide cohort analysis.

Xueying Yang, Jiajia Zhang, Ziang Liu, Shujie Chen, Bankole Olatosi, Gregory A Poland, Sharon Weissman, Xiaoming Li

Abstract read
In one paragraph

Article in International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Routine and Special Vaccinations in People With HIV.Topics in antiviral medicine · 2024
    Review
  6. 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

8 authors.

Xueying YangDepartment of Health Promotion, Education and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, USA; South Carolina SmartState Center for Healthcare Quality, University of South Carolina, Columbia, USA. Electronic address: xueyyang@mailbox.sc.edu.
Jiajia ZhangSouth Carolina SmartState Center for Healthcare Quality, University of South Carolina, Columbia, USA; Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, USA.
Ziang LiuSouth Carolina SmartState Center for Healthcare Quality, University of South Carolina, Columbia, USA; Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, USA.
Shujie ChenSouth Carolina SmartState Center for Healthcare Quality, University of South Carolina, Columbia, USA; Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, USA.
Bankole OlatosiSouth Carolina SmartState Center for Healthcare Quality, University of South Carolina, Columbia, USA; Department of Health Services Policy and Management, Arnold School of Public Health, University of South Carolina, Columbia, USA.
Gregory A PolandMayo Vaccine Research Group, Mayo Clinic and Foundation, Rochester, USA.
Sharon WeissmanSouth Carolina SmartState Center for Healthcare Quality, University of South Carolina, Columbia, USA; Department of Internal Medicine, School of Medicine, University of South Carolina, Columbia, USA.
Xiaoming LiDepartment of Health Promotion, Education and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, USA; South Carolina SmartState Center for Healthcare Quality, University of South Carolina, Columbia, USA.

Funding

The COVID-19 vaccine efficacy among people living with and without HIV: a real-world data approachR21AI170159 · NIAID · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI YANG, XUEYING · 2022 to 2023
$398k
NIAID NIH HHS R21 AI170159
6 · The paper itself

Abstract

objectivesThis study aims to characterize and compare COVID-19 breakthrough infections between people living with and without HIV across different phases of the pandemic.

methodsUsing statewide HIV cohort data, the study population included adult residents in South Carolina (SC) (>18 years old) who were fully vaccinated between January 02, 2021 and April 14, 2022 when Alpha, Delta, and Omicron variants were circulating in SC. We used the Cox proportional hazard model to investigate the association between HIV infection and breakthrough infection, adjusting for relevant covariates.

resultsAmong 2,144,415 vaccinated individuals, 8,335 were people living with HIV (PLWH) and 2,136,080 were people without HIV (PWoH). After propensity score matching, HIV infection was not significantly associated with breakthrough infection rate. However, when comparing breakthrough infections among individuals without any booster dose, PLWH had a higher risk of breakthrough infections (adjusted Hazard Ration: 1.19; 95% confidence interval: 1.03-1.39). Compared to PWoH, PLWH with high levels of clusters of differentiation 4 (CD4) count or viral suppression were not associated with breakthrough infections.

conclusionsOur findings do not support a broad conclusion that COVID-19 vaccine effectiveness is lower among PLWH, while we did find that PLWH had a higher risk of breakthrough infection compared to PWoH if they did not receive a booster dose.

Indexed as

COVID-19HIV InfectionsAdolescentAdultBreakthrough InfectionsCOVID-19 VaccinesHumansSARS-CoV-2COVID-19 VaccinesBreakthrough infectionsCOVID-19HIV/AIDSPropensity score matching

Identifiers

PMID38013151
PMCPMC10842358

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.