Evidence map›Paper›PMID 36991311›Full record

ArticleBMC microbiology2023

Investigation of antimicrobial resistance patterns and molecular typing of Pseudomonas aeruginosa isolates among Coronavirus disease-19 patients.

Somaye Shiralizadeh, Fariba Keramat, Seyyed Hamid Hashemi, Mohammad Mehdi Majzoobi, Masoud Azimzadeh, Mohammad Sina Alikhani, Pezhman Karami, Zahra Rahimi, Mohammad Yousef Alikhani

Open access · goldAbstract read
In one paragraph

Article in BMC microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
1.9field-weighted citation impact, top 14% 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 20 citations in OpenAlex.

  1. Pooled it
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  8. Review
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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 1 institution in 1 country.

Somaye ShiralizadehDepartment of Microbiology, Faculty of Medicine, Hamadan University of Medical Sciences, Hamadan, IR, Iran.
Fariba KeramatDepartment of Infectious Diseases, Faculty of Medicine, Hamadan University of Medical Sciences, Hamadan, IR, Iran.
Seyyed Hamid HashemiDepartment of Infectious Diseases, Faculty of Medicine, Hamadan University of Medical Sciences, Hamadan, IR, Iran.
Mohammad Mehdi MajzoobiDepartment of Infectious Diseases, Faculty of Medicine, Hamadan University of Medical Sciences, Hamadan, IR, Iran.
Masoud AzimzadehDepartment of Microbiology, Faculty of Medicine, Hamadan University of Medical Sciences, Hamadan, IR, Iran.
Mohammad Sina AlikhaniStudents Research Committee, Hamadan University of Medical Sciences, Hamadan, IR, Iran.
Pezhman KaramiDepartment of Microbiology, Faculty of Medicine, Hamadan University of Medical Sciences, Hamadan, IR, Iran.
Zahra RahimiDepartment of Microbiology, Faculty of Medicine, Hamadan University of Medical Sciences, Hamadan, IR, Iran.
Mohammad Yousef AlikhaniDepartment of Microbiology, Faculty of Medicine, Hamadan University of Medical Sciences, Hamadan, IR, Iran. alikhani43@yahoo.com.ORCID 0000-0003-4577-4029
Hamedan University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPseudomonas aeruginosa is a common co-infecting pathogen recognized among COVID-19 patients. We aimed to investigate the antimicrobial resistance patterns and molecular typing of Pseudomonas aeruginosa isolates among Coronavirus disease-19 patients.

methodsBetween December 2020 and July 2021, 15 Pseudomonas aeruginosa were isolated from COVID-19 patients in the intensive care unit at Sina Hospital in Hamadan, west of Iran. The antimicrobial resistance of the isolates was determined by disk diffusion and broth microdilution methods. The double-disk synergy method, Modified Hodge test, and polymerase chain reaction were utilized to detect Pseudomonas aeruginosa extended spectrum beta-lactamase and carbapenemase producers. Microtiter plate assay was performed to evaluate the biofilm formation ability of the isolates. The isolates phylogenetic relatedness was revealed using the multilocus variable-number tandem-repeat analysis method.

resultsThe results showed Pseudomonas aeruginosa isolates had the most elevated resistance to imipenem (93.3%), trimethoprim-sulfamethoxazole (93.3%), ceftriaxone (80%), ceftazidime (80%), gentamicin (60%), levofloxacin (60%), ciprofloxacin (60%), and cefepime (60%). In the broth microdilution method, 100%, 100%, 20%, and 13.3% of isolates showed resistance to imipenem, meropenem, polymyxin B, and colistin, respectively. Ten (66.6%) isolates were identified as multiple drug resistance. Carbapenemase enzymes and extended spectrum beta-lactamases were identified in 66.6% and 20% of the isolates, respectively and the biofilm formation was detected in 100% of the isolates. The bla

conclusionDue to the high rate of antimicrobial resistance, as well as the genetic diversity of Pseudomonas aeruginosa isolates from COVID-19 patients, it is indispensable to monitor the antimicrobial resistance pattern and epidemiology of the isolates on a regular basis.

Indexed as

COVID-19Drug Resistance, BacterialPseudomonas aeruginosaPseudomonas InfectionsAdolescentAdultAgedAged, 80 and overAnti-Infective AgentsFemaleGenetic VariationHumansIranMaleMicrobial Sensitivity TestsMiddle AgedAnti-Infective AgentsAntimicrobial resistanceBiofilm formationCo-infectionCOVID-19MLVAPseudomonas aeruginosa

Identifiers

PMID36991311
PMCPMC10052215
OpenAlexW4361199121

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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.