Evidence map›Paper›PMID 37972270›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2024

Differential Viral Dynamics by Sex and Body Mass Index During Acute SARS-CoV-2 Infection: Results From a Longitudinal Cohort Study.

Carly Herbert, Yukari C Manabe, Andreas Filippaios, Honghuang Lin, Biqi Wang, Chad Achenbach, Vik Kheterpal, Paul Hartin, Thejas Suvarna, Emma Harman and 8 more

Abstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Relationship Between Acute SARS-CoV-2 Viral Clearance and Long COVID-19 (Long COVID) Symptoms: A Cohort Study.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2025
    Article
  3. Article
  4. Article
  5. Article
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.

Carly HerbertProgram in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA.ORCID 0000-0001-8972-0474
Yukari C ManabeDivision of Infectious Disease, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Andreas FilippaiosProgram in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA.
Honghuang LinProgram in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA.
Biqi WangProgram in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA.
Chad AchenbachDivision of Infectious Disease, Department of Medicine, Havey Institute for Global Health, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.
Vik KheterpalCareEvolution LLC, Ann Arbor, Michigan, USA.
Paul HartinProgram in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA.
Thejas SuvarnaCareEvolution LLC, Ann Arbor, Michigan, USA.
Emma HarmanCareEvolution LLC, Ann Arbor, Michigan, USA.
Pamela StamegnaProgram in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA.
Lokinendi V RaoQuest Diagnostics, Marlborough, Massachusetts, USA.
Nathaniel HaferUMass Center for Clinical and Translational Science, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA.
John BroachDepartment of Emergency Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA.
Katherine LuzuriagaUMass Center for Clinical and Translational Science, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA.
Katherine A FitzgeraldDivision of Infectious Diseases and Immunology, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA.
David D McManusProgram in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA.
Apurv SoniProgram in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA.ORCID 0000-0001-5049-3657

Funding

The Center for Advancing Point of Care in Heart, Lung, Blood and Sleep DiseasesU54HL143541 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI Nathaniel Scott Hafer · 2018 to 2026
$141.0M
University of Massachusetts Center for Clinical Science and Translational SupplementUL1TR001453 · NCATS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LUZURIAGA, KATHERINE F · 2015 to 2024
$39.0M
University of Massachusetts Center for Clinical and Translational ScienceTL1TR001454 · NCATS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LEWIS, BRIAN C · 2015 to 2024
$3.6M
NCATS NIH HHS TL1 TR001454NCATS NIH HHS UL1 TR001453NHLBI NIH HHSNHLBI NIH HHS U54 HL143541NIBIB NIH HHSNIH HHSUS Department of Health and Human Services
6 · The paper itself

Abstract

backgroundThere is evidence of an association of severe coroanavirus disease (COVID-19) outcomes with increased body mass index (BMI) and male sex. However, few studies have examined the interaction between sex and BMI on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) viral dynamics.

methodsParticipants conducted RT-PCR testing every 24-48 hours over a 15-day period. Sex and BMI were self-reported, and Ct values from E-gene were used to quantify viral load. Three distinct outcomes were examined using mixed-effects generalized linear models, linear models, and logistic models, respectively: all Ct values (model 1), nadir Ct value (model 2), and strongly detectable infection (at least 1 Ct value ≤28 during their infection) (model 3). An interaction term between BMI and sex was included, and inverse logit transformations were applied to quantify the differences by BMI and sex using marginal predictions.

resultsIn total, 7988 participants enrolled in this study and 439 participants (model 1) and 309 (models 2 and 3) were eligible for these analyses. Among males, increasing BMI was associated with lower Ct values in a dose-response fashion. For participants with BMIs greater than 29 kg/m2, males had significantly lower Ct values and nadir Ct values than females. In total, 67.8% of males and 55.3% of females recorded a strongly detectable infection; increasing proportions of men had Ct values <28 with BMIs of 35 and 40 kg/m2.

conclusionsWe observed sex-based dimorphism in relation to BMI and COVID-19 viral load. Further investigation is needed to determine the cause, clinical impact, and transmission implications of this sex-differential effect of BMI on viral load.

Indexed as

Body Mass IndexCOVID-19SARS-CoV-2Viral LoadAdultAgedFemaleHumansLongitudinal StudiesMaleMiddle AgedSex Factorsbiological sexbody mass indexCt valueSARS-CoV-2viral load

Identifiers

PMID37972270
PMCPMC11093673

What OpenQuestion holds

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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.