Evidence map›Paper›PMID 36087244›Full record

ArticleBrazilian journal of microbiology : [publication of the Brazilian Society for Microbiology]2022

The impact of COVID-19 on antimicrobial prescription and drug resistance in fungi and bacteria.

Junya L Singulani, Danielle L Silva, Caroline M Lima, Vanessa C R Magalhães, Ludmila M Baltazar, Nalu T A Peres, Rachel B Caligiorne, Alexandre S Moura, Ana Raquel O Santos, Tatiani Fereguetti and 6 more

Open access · bronzeAbstract read
In one paragraph

Article in Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology], 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 21% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. COVID-19 and candiduria: an investigation of the risk factors and immunological aspects.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2023
    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

16 authors at 4 institutions in 1 country.

Junya L Singulani *Department of Microbiology, Institute of Biological Sciences, Universidade Federal de Minas Gerais, Av. Antonio Carlos, 6627, Pampulha, Belo Horizonte, Minas Gerais, 31270-901, Brazil.
Danielle L Silva *Department of Microbiology, Institute of Biological Sciences, Universidade Federal de Minas Gerais, Av. Antonio Carlos, 6627, Pampulha, Belo Horizonte, Minas Gerais, 31270-901, Brazil.
Caroline M LimaDepartment of Microbiology, Institute of Biological Sciences, Universidade Federal de Minas Gerais, Av. Antonio Carlos, 6627, Pampulha, Belo Horizonte, Minas Gerais, 31270-901, Brazil.
Vanessa C R MagalhãesDepartment of Microbiology, Institute of Biological Sciences, Universidade Federal de Minas Gerais, Av. Antonio Carlos, 6627, Pampulha, Belo Horizonte, Minas Gerais, 31270-901, Brazil.
Ludmila M BaltazarDepartment of Microbiology, Institute of Biological Sciences, Universidade Federal de Minas Gerais, Av. Antonio Carlos, 6627, Pampulha, Belo Horizonte, Minas Gerais, 31270-901, Brazil.
Nalu T A PeresDepartment of Microbiology, Institute of Biological Sciences, Universidade Federal de Minas Gerais, Av. Antonio Carlos, 6627, Pampulha, Belo Horizonte, Minas Gerais, 31270-901, Brazil.
Rachel B CaligiorneCenter of Post-Graduation and Research - IEP, Hospital Santa Casa de Belo Horizonte, Belo Horizonte, Minas Gerais, Brazil.
Alexandre S MouraHospital Eduardo de Menezes, Fundação Hospitalar Do Estado de Minas Gerais (FHEMIG), Belo Horizonte, Minas Gerais, Brazil.
Ana Raquel O SantosDepartment of Microbiology, Institute of Biological Sciences, Universidade Federal de Minas Gerais, Av. Antonio Carlos, 6627, Pampulha, Belo Horizonte, Minas Gerais, 31270-901, Brazil.
Tatiani FereguettiHospital Eduardo de Menezes, Fundação Hospitalar Do Estado de Minas Gerais (FHEMIG), Belo Horizonte, Minas Gerais, Brazil.
Juliana C MartinsHospital Eduardo de Menezes, Fundação Hospitalar Do Estado de Minas Gerais (FHEMIG), Belo Horizonte, Minas Gerais, Brazil.
Lívia F RabeloHospital Eduardo de Menezes, Fundação Hospitalar Do Estado de Minas Gerais (FHEMIG), Belo Horizonte, Minas Gerais, Brazil.
Ana C LyonHospital Eduardo de Menezes, Fundação Hospitalar Do Estado de Minas Gerais (FHEMIG), Belo Horizonte, Minas Gerais, Brazil.
Susana JohannDepartment of Microbiology, Institute of Biological Sciences, Universidade Federal de Minas Gerais, Av. Antonio Carlos, 6627, Pampulha, Belo Horizonte, Minas Gerais, 31270-901, Brazil.
Juliana P FalcãoFaculdade de Ciências Farmacêuticas de Ribeirão Preto, Universidade de São Paulo-USP, Ribeirao Preto, Sao Paulo, Brazil.
Daniel A SantosDepartment of Microbiology, Institute of Biological Sciences, Universidade Federal de Minas Gerais, Av. Antonio Carlos, 6627, Pampulha, Belo Horizonte, Minas Gerais, 31270-901, Brazil. das@ufmg.br.
Universidade Federal de Minas Gerais · BRFundação Hospitalar do Estado de Minas Gerais · BRGrupo Santa Casa de Belo Horizonte · BRUniversidade de São Paulo · BR

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 163516/2020-0Conselho Nacional de Desenvolvimento Científico e Tecnológico 303762/2020-9Conselho Nacional de Desenvolvimento Científico e Tecnológico 402200/2021-7Conselho Nacional de Desenvolvimento Científico e Tecnológico 440010/2018-7Fundação de Amparo à Pesquisa do Estado de Minas Gerais APQ-00267-20
6 · The paper itself

Abstract

Secondary infections are one of the complications in COVID-19 patients. We aimed to analyze the antimicrobial prescriptions and their influence on drug resistance in fungi and bacteria isolated from severely ill COVID-19 patients. Seventy-nine severely ill COVID-19 hospitalized patients with secondary bacterial or fungal infections were included. We analyzed the prescribed antimicrobial regimen for these patients and the resistance profiles of bacterial and fungal isolates. In addition, the association between drug resistance and patients' outcome was analyzed using correlation tests. The most prescribed antibacterial were ceftriaxone (90.7% of patients), vancomycin (86.0%), polymyxin B (74.4%), azithromycin (69.8%), and meropenem (67.4%). Micafungin and fluconazole were used by 22.2 and 11.1% of patients, respectively. Multidrug-resistant (MDR) infections were a common complication in severely ill COVID-19 patients in our cohort since resistant bacteria strains were isolated from 76.7% of the patients. Oxacillin resistance was observed in most Gram-positive bacteria, whereas carbapenem and cephalosporin resistance was detected in most Gram-negative strains. Azole resistance was identified among C. glabrata and C. tropicalis isolates. Patients who used more antimicrobials stayed hospitalized longer than the others. The patient's age and the number of antibacterial agents used were associated with the resistance phenotype. The susceptibility profile of isolates obtained from severely ill COVID-19 patients highlighted the importance of taking microbial resistance into account when managing these patients. The continuous surveillance of resistant/MDR infection and the rational use of antimicrobials are of utmost importance, especially for long-term hospitalized patients with COVID-19.

Indexed as

COVID-19 Drug TreatmentAnti-Bacterial AgentsBacteriaDrug ResistanceFungiMicrobial Sensitivity TestsPrescriptionsAnti-Bacterial AgentsAntimicrobial prescriptionAntimicrobial resistanceCOVID-19Secondary infections

Identifiers

PMID36087244
PMCPMC9463970
OpenAlexW4295508197

What OpenQuestion holds

Textmetadata
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.