Evidence map›Paper›PMID 37113207›Full record

ArticleAntimicrobial stewardship & healthcare epidemiology : ASHE2023

Infections and antimicrobial prescribing in patients hospitalized with coronavirus disease 2019 (COVID-19) during the first pandemic wave.

Lynn Chan, Simran Gupta, Alicia J Sacco, Sabirah N Kasule, Hally Chaffin, Fionna F Feller, Lanyu Mi, Elisabeth S Lim, Maria Teresa Seville

Open access · goldAbstract read
In one paragraph

Article in Antimicrobial stewardship & healthcare epidemiology : ASHE, 2023. 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
0.4field-weighted citation impact, top 36% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

9 authors at 4 institutions in 1 country.

Lynn ChanDepartment of Pharmacy, Ronald Reagan UCLA Medical Center, Los Angeles, California.ORCID https://orcid.org/0000-0001-7860-6625
Simran GuptaDepartment of Internal Medicine, Mayo Clinic Hospital, Phoenix, Arizona.ORCID https://orcid.org/0000-0002-2006-1236
Alicia J SaccoDepartment of Pharmacy, Mayo Clinic Hospital, Phoenix, Arizona.ORCID https://orcid.org/0000-0002-8058-2332
Sabirah N KasuleDepartment of Quantitative Health Sciences, Division of Clinical Trials and Biostatistics, Mayo Clinic Arizona, Scottsdale, Arizona.
Hally ChaffinDepartment of Internal Medicine, Mayo Clinic Hospital, Phoenix, Arizona.
Fionna F FellerDivision of Infectious Diseases, Yale New Haven Hospital, New Haven, Connecticut.ORCID https://orcid.org/0000-0003-2750-9088
Lanyu MiDepartment of Quantitative Health Sciences, Division of Clinical Trials and Biostatistics, Mayo Clinic Arizona, Scottsdale, Arizona.ORCID https://orcid.org/0000-0002-6779-4568
Elisabeth S LimDepartment of Quantitative Health Sciences, Division of Clinical Trials and Biostatistics, Mayo Clinic Arizona, Scottsdale, Arizona.ORCID https://orcid.org/0000-0002-7413-4410
Maria Teresa SevilleDivision of Infectious Diseases, Mayo Clinic Hospital, Phoenix, Arizona.ORCID https://orcid.org/0000-0002-7384-2685
Mayo Clinic Hospital · USMayo Clinic in Arizona · USRonald Reagan UCLA Medical Center · USYale New Haven Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate the rate of coinfections and secondary infections seen in hospitalized patients with COVID-19 and antimicrobial prescribing patterns. Methods: This single-center, retrospective study included all patients aged ≥18 years admitted with COVID-19 for at least 24 hours to a 280-bed, academic, tertiary-care hospital between March 1, 2020, and August 31, 2020. Coinfections, secondary infections, and antimicrobials prescribed for these patients were collected. Results: In total, 331 patients with a confirmed diagnosis of COVID-19 were evaluated. No additional cases were identified in 281 (84.9%) patients, whereas 50 (15.1%) had at least 1 infection. In total, of 50 patients (15.1%) who were diagnosed with coinfection or secondary infection had bacteremia, pneumonia, and/or urinary tract infections. Patients who had positive cultures, who were admitted to the ICU, who required supplemental oxygen, or who were transferred from another hospital for higher level of care were more likely to have infections. The most commonly used antimicrobials were azithromycin (75.2%) and ceftriaxone (64.9%). Antimicrobials were prescribed appropriately for 55% of patients. Conclusions: Coinfection and secondary infections are common in patients who are critically ill with COVID-19 at hospital admission. Clinicians should consider starting antimicrobial therapy in critically ill patients while limiting antimicrobial use in patients who are not critically ill.

Identifiers

PMID37113207
PMCPMC10127243
OpenAlexW4366224122

What OpenQuestion holds

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LicenceCC BY
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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.