Evidence map›Paper›PMID 34979608›Full record

ArticleInfection & chemotherapy2021

A Direct Rapid Phenotypic Antimicrobial Susceptibility Test Enables Early Selection of Optimal Antibiotics to Treat Bacteremia in COVID-19 Patients.

Do Hyeon Park, Euijin Chang, Chang Kyung Kang, Pyoeng Gyun Choe, Nam Joong Kim, Taek Soo Kim, Wan Beom Park, Myoung-Don Oh

Abstract read
In one paragraph

Article in Infection & chemotherapy, 2021. 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. Review
  2. Article
  3. A model for predicting bacteremia species based on host immune response.Frontiers in cellular and infection microbiology · 2025
    Article
  4. Article
  5. 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.

Do Hyeon ParkDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-7294-5167
Euijin ChangDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-7417-0318
Chang Kyung KangDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-1952-072X
Pyoeng Gyun ChoeDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-6794-7918
Nam Joong KimDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-6793-9467
Taek Soo Kim *Department of Laboratory Medicine, Seoul National University College of Medicine, Seoul, Korea. kim.taeksoo@snu.ac.kr.ORCID https://orcid.org/0000-0002-2093-1721
Wan Beom Park *Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea. wbpark1@snu.ac.kr.ORCID https://orcid.org/0000-0003-0022-9625
Myoung-Don OhDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-2344-7695

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCo-infection with bacteria and severe acute respiratory syndrome coronavirus 2 may result in greater use of healthcare resources and a poor prognosis. Therefore, early selection and use of optimal antibiotics are essential. The direct rapid antibiotic susceptibility test (dRAST) can detect antibiotic resistance within 6 h of a Gram smear result. This study aimed to assess the effectiveness of dRAST for improving early selection of appropriate antibiotics for coronavirus disease 2019 (COVID-19) patients with bacteremia. MATERIALS AND

methodsThis retrospective study included 96 blood culture-positive COVID-19 patients. Bacterial isolates and antimicrobial resistance profiles of each case were evaluated. Cases were divided into two groups based on whether they underwent conventional antibiotic susceptibility test (AST) or dRAST. The time to optimal targeted treatment for the two groups was investigated and compared. In addition, we examined the proportion of cases for which appropriate antibiotics were selected and broad spectrum antibiotics were administered at 72 h from blood sample collection.

resultsThe mean time to optimal targeted antibiotic treatment was shorter for the dRAST group [55.7; standard deviation (SD), 28.7

conclusionApplication of dRAST for selection of antibiotics to treat bacteremia in COVID-19 patients may enable earlier and optimal treatment. The high incidence of contamination and resistant organisms in blood cultures from COVID-19 patients suggest that dRAST may speed up appropriate targeted treatment.

Indexed as

Antibiotic resistanceBacteremiaRapid phenotypic antimicrobial susceptibility testingSARS-CoV-2

Identifiers

PMID34979608
PMCPMC8731248

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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.