Evidence map›Paper›PMID 38476940›Full record

ArticleFrontiers in microbiology2024

Hospital antimicrobial stewardship: profiling the oral microbiome after exposure to COVID-19 and antibiotics.

Patricia Buendia, Krystal Fernandez, Castle Raley, Ali Rahnavard, Keith A Crandall, Jose Guillermo Castro

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.2field-weighted citation impact, top 24% of its field
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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

6 authors at 4 institutions in 1 country.

Patricia BuendiaLifetime Omics, Miami, FL, United States.
Krystal FernandezLifetime Omics, Miami, FL, United States.
Castle RaleyThe George Washington University Genomics Core, Milken Institute School of Public Health, The George Washington University, Washington, DC, United States.
Ali RahnavardDepartment of Biostatistics and Bioinformatics, Computational Biology Institute, Milken Institute School of Public Health, The George Washington University, Washington, DC, United States.
Keith A CrandallThe George Washington University Genomics Core, Milken Institute School of Public Health, The George Washington University, Washington, DC, United States.
Jose Guillermo CastroDivision of Infectious Diseases, Leonard M. Miller School of Medicine, University of Miami, Miami, FL, United States.
Lifetime Omics (United States)Milken Institute · USGeorge Washington University · USUniversity of Miami · US

Funding

In Vivo Cluster AI Prediction (CLAIRE) of COVID-19 Disease ProgressionR43EB030947 · NIBIB · LIFETIME OMICS, INC. · PI BUENDIA, PATRICIA, CASTRO, JOSE GUILLERMO · 2021 to 2022
$279k
NIBIB NIH HHS R43 EB030947
6 · The paper itself

Abstract

Introduction: During the COVID-19 Delta variant surge, the CLAIRE cross-sectional study sampled saliva from 120 hospitalized patients, 116 of whom had a positive COVID-19 PCR test. Patients received antibiotics upon admission due to possible secondary bacterial infections, with patients at risk of sepsis receiving broad-spectrum antibiotics (BSA). Methods: The saliva samples were analyzed with shotgun DNA metagenomics and respiratory RNA virome sequencing. Medical records for the period of hospitalization were obtained for all patients. Once hospitalization outcomes were known, patients were classified based on their COVID-19 disease severity and the antibiotics they received. Results: Our study reveals that BSA regimens differentially impacted the human salivary microbiome and disease progression. 12 patients died and all of them received BSA. Significant associations were found between the composition of the COVID-19 saliva microbiome and BSA use, between SARS-CoV-2 genome coverage and severity of disease. We also found significant associations between the non-bacterial microbiome and severity of disease, with Discussion: Our results indicate that the course of the infection may be explained by both monitoring antibiotic treatment and profiling a patient's salivary microbiome, establishing a compelling link between microbiome and the specific antibiotic type and timing of treatment. This approach can aid with emergency room triage and inpatient management but also requires a better understanding of and access to narrow-spectrum agents that target pathogenic bacteria.

Indexed as

broad-spectrum antibioticsCandida albicans (C. albicans)COVID-19hospital antimicrobial stewardshipsaliva microbiomesepsisStaphylococcus aureus (S. aureus)

Identifiers

PMID38476940
PMCPMC10927822
OpenAlexW4392196796

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.