Evidence map›Paper›PMID 39192848›Full record

ArticlePNAS nexus2024

Obesity and age are transmission risk factors for SARS-CoV-2 infection among exposed individuals.

Joan T Matamalas, Sarvesh Chelvanambi, Julius L Decano, Raony F França, Arda Halu, Diego V Santinelli-Pestana, Elena Aikawa, Rajeev Malhotra, Masanori Aikawa

Abstract read
In one paragraph

Article in PNAS nexus, 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.

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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

9 authors.

Joan T MatamalasDepartment of Medicine, Cardiovascular Division, Center for Interdisciplinary Cardiovascular Sciences, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA 02115, USA.ORCID https://orcid.org/0000-0002-7563-9269
Sarvesh ChelvanambiDepartment of Medicine, Cardiovascular Division, Center for Interdisciplinary Cardiovascular Sciences, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA 02115, USA.ORCID https://orcid.org/0000-0001-9621-0704
Julius L DecanoDepartment of Medicine, Cardiovascular Division, Center for Interdisciplinary Cardiovascular Sciences, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA 02115, USA.ORCID https://orcid.org/0000-0003-0388-3585
Raony F FrançaFaculty of Medicine, University of São Paulo, Av. Dr. Arnaldo, 455 - Cerqueira César, São Paulo, SP 01246-903, Brazil.ORCID https://orcid.org/0000-0003-0429-4811
Arda HaluDepartment of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, 181 Longwood Avenue, Boston, MA 02115, USA.ORCID https://orcid.org/0000-0001-6217-790X
Diego V Santinelli-PestanaDepartment of Medicine, Cardiovascular Division, Center for Interdisciplinary Cardiovascular Sciences, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA 02115, USA.ORCID https://orcid.org/0000-0002-2226-2816
Elena AikawaDepartment of Medicine, Cardiovascular Division, Center for Interdisciplinary Cardiovascular Sciences, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA 02115, USA.ORCID https://orcid.org/0000-0001-7835-2135
Rajeev MalhotraCardiology Division, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Boston, MA 02114, USA.ORCID https://orcid.org/0000-0003-0120-4630
Masanori AikawaDepartment of Medicine, Cardiovascular Division, Center for Interdisciplinary Cardiovascular Sciences, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA 02115, USA.ORCID https://orcid.org/0000-0002-9275-2079

Funding

Integrative network-based analysis of multi-omics data to elucidate the molecular connection between asthma and COPDK25HL150336 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI HALU, ARDA · 2020 to 2024
$945k
NHLBI NIH HHS K25 HL150336
6 · The paper itself

Abstract

The coronavirus disease (COVID-19) pandemic has occurred in Massachusetts in multiple waves led by a series of emerging variants. While the evidence has linked obesity with severe symptoms of COVID-19, the effect of obesity on susceptibility to SARS-CoV-2 infection remains unclear. Identification of intrinsic factors, which increase the likelihood of exposed individuals succumbing to productive SARS-CoV-2 infection could help plan mitigation efforts to curb the illness. We aim to investigate whether obese individuals have a higher susceptibility to developing productive SARS-CoV-2 infection given comparable exposure to nonobese individuals. This case-control study leveraged data from the Mass General Brigham's (MGB) electronic medical records (EMR), containing 687,813 patients, to determine whether obesity at any age increases the proportion of infections. We used PCR results of 72,613 subjects who tested positive to SARS-CoV-2 or declared exposure to the virus independently of the result of the test. For this study, we defined susceptibility as the likelihood of testing positive upon suspected exposure. We demonstrate evidence that SARS-CoV-2 exposed obese individuals were more prone to become COVID positive than nonobese individuals [adjusted odds ratio = 1.34 (95% CI: 1.29-1.39)]. Temporal analysis showed significantly increased susceptibility in obese individuals across the duration of the pandemic in Massachusetts. Obese exposed individuals are at a higher risk of getting infected with SARS-CoV-2. This indicates that obesity is not only a risk factor for worsened outcomes but also increases the risk for infection upon exposure. Identifying such populations early will be crucial for curbing the spread of this infectious disease.

Identifiers

PMID39192848
PMCPMC11348562

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.