Evidence map›Paper›PMID 39528453›Full record

ArticleInfectious disorders drug targets2025

Investigating the Prevalence of Bacterial Infections in Patients with Coronavirus Disease 2019 Hospitalized in Intensive Care Unit and Determining their Antibiotic Resistance Patterns.

Somaye Shiralizadeh, Masoud Azimzadeh, Fariba Keramat, Seyyed Hamid Hashemi, Mohammad Mehdi Majzoobi, Mohammad Reza Arabestani, Farid Azizi Jalilian, Abbas Taher, Salman Khazaei, Mohammad Sina Alikhani and 5 more

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Article in Infectious disorders drug targets, 2025. 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
–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

1 citing paper in PubMed.

  1. Review
4 · The record

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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

15 authors.

Somaye ShiralizadehDepartment of Microbiology, 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.
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.
Mohammad Reza ArabestaniDepartment of Microbiology, Faculty of Medicine, Hamadan University of Medical Sciences, Hamadan, IR Iran.
Farid Azizi JalilianDepartment of Virology, Faculty of Medicine, Hamadan University of Medical Sciences, Hamadan, IR Iran.
Abbas TaherDepartment of Anesthesiology and Critical Care, School of Medicine, Hamadan University of Medical Sciences, Hamadan, IR Iran.
Salman KhazaeiResearch Center for Health Sciences, Hamadan University of Medical Sciences, Hamadan, IR Iran.
Mohammad Sina AlikhaniStudents Research Committee, Urmia University of Medical Sciences, Urmia, 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.
Zahra Karimi TabarDepartment of Microbiology, Faculty of Medicine, Hamadan University of Medical Sciences, Hamadan, IR Iran.
Masoud Moghaddam ShakibDepartment 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.

Funding

Vice-Chancellor of Research of Hamadan University of Medical Sciences, Hamadan, IRAN 140012031272, 14000124434
6 · The paper itself

Abstract

backgroundCOVID-19 patient hospitalization, particularly in intensive care units, exposes them to bacterial and fungi co-infections, which can have very serious consequences, including increased mortality. In addition, antibiotic resistance among pathogens is a hidden threat behind COVID-19.

methodsIn the period from 2020 September to 2021 August, bacterial isolates from COVID- 19 patients admitted to the ICU of Sina Hospital in Hamadan, Iran, were collected and identified based on standard biochemical tests. COVID-19 cases were confirmed based on clinical symptoms, computed tomography, and polymerase chain reaction. Antimicrobial susceptibility tests were conducted using disc diffusion and broth microdilution methods.

resultsIn total, 207 bacterial isolates were collected, with Klebsiella pneumoniae accounting for 69 (33.33%) and Acinetobacter baumannii accounting for 59 (28.15%). The frequency and percentage of isolated bacteria were as follows: Alcaligenes species 28 (13.59%), Staphylococcus aureus 18 (8.73%), Pseudomonas aeruginosa 15 (7.28%), Escherichia coli 11 (5.33%), Stenotrophomonas maltophilia 3 (1.45%), Enterococcus species 3 (1.45%), and Serratia species 1 (0.48%). About 95.38% resistance to ceftazidime and cefotaxime and 92.31% resistance to ciprofloxacin and cefepime were found in K. pneumoniae isolates. A. baumannii isolates were 100% resistant to cefotaxime, ceftriaxone, and cefepime. About 22.22% resistance to vancomycin and 66.67% resistance to clindamycin, erythromycin, and cefoxitin were seen in S. aureus isolates.

conclusionKnowledge of bacterial co-infections and their antibiotic resistance pattern in COVID-19 patients can help in choosing effective antibiotics for the treatment and prevention of antibiotic resistance.

Indexed as

Anti-Bacterial AgentsBacteriaBacterial InfectionsCoinfectionCOVID-19Drug Resistance, BacterialAdultAgedFemaleHospitalizationHumansIntensive Care UnitsIranMaleMicrobial Sensitivity TestsMiddle AgedAnti-Bacterial Agentsantibiotic resistancebacterial infections.co-infectionsCOVID-19hospitalizationintensive care units

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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.