Evidence map›Paper›PMID 37660109›Full record

ArticleEuropean journal of medical research2023

Evaluation of Acinetobacter baumannii, Klebsiella pneumoniae, and Staphylococcus aureus respiratory tract superinfections among patients with COVID-19 at a tertiary-care hospital in Tehran, Iran.

Maryam Mobarak-Qamsari, Bita Jenaghi, Leyla Sahebi, Mahsa Norouzi-Shadehi, Mohammad-Reza Salehi, Abbas Shakoori-Farahani, Hoda Khoshnevis, Alireza Abdollahi, Mohammad-Mehdi Feizabadi

Abstract read
In one paragraph

Article in European journal of medical research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  17. Frontiers in cellular and infection microbiology · 2024
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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.

Maryam Mobarak-QamsariDepartment of Microbiology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Bita JenaghiDepartment of Microbiology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Leyla SahebiFamily Health Research Institute. Maternal, Fetal, and Neonatal Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Mahsa Norouzi-ShadehiDepartment of Infectious Disease, School of Medicine, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran.
Mohammad-Reza SalehiDepartment of Infectious Diseases, School of Medicine, Imam Khomeini Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Abbas Shakoori-FarahaniDepartment of Medical Genetics, School of Medicine, Imam Khomeini Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Hoda KhoshnevisImam Khomeini Hospital Complex, School of Medicine, Imam Khomeini Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Alireza AbdollahiDepartment of Pathology, School of Medicine, Imam Khomeini Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Mohammad-Mehdi FeizabadiDepartment of Microbiology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran. mfeizabadi@tums.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe emergence of healthcare-associated infections (HAIs) or superinfections in COVID-19 patients has resulted in poor prognosis and increased mortality.

methodsIn a cross-sectional study, 101 respiratory samples were collected from ICU-admitted COVID-19 patients. The HAI rate, demographics, and antibiotic resistance were assessed.

resultsThe HAI rate was 83.16% (76.62% bacterial and 6.54% fungal). The prevalence of 3 major HAI-causing organisms included Klebsiella pneumoniae (41.5%), Acinetobacter baumannii (20.8%), and Staphylococcus aureus (4.9%). Mortality and intubation ventilation proportions of 90% (p = 0.027) and 92.2% (p = 0.02) were significant among patients with superinfection, respectively. Multiple logistic regression analysis showed SpO

conclusionAs a result, antibiotic treatment should be administered following the microbial resistance profile. Contact isolation and infection control measures should be implemented as needed.

Indexed as

Acinetobacter baumanniiCOVID-19Methicillin-Resistant Staphylococcus aureusStaphylococcal InfectionsSuperinfectionAnti-Bacterial AgentsCross-Sectional StudiesHumansIranKlebsiella pneumoniaeRespiratory SystemStaphylococcus aureusTertiary Care CentersAnti-Bacterial AgentsAntibiotic resistanceCOVID-19Healthcare-associated infectionsRespiratory infectionsSuperinfection

Identifiers

PMID37660109
PMCPMC10474718

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.