Evidence map›Paper›PMID 35041973›Full record

ArticleMicrobial pathogenesis2022

Evaluation of bacterial agents isolated from endotracheal aspirate cultures of Covid-19 general intensive care patients and their antibiotic resistance profiles compared to pre-pandemic conditions.

Yasemin Genç Bahçe, Ömer Acer, Osman Özüdoğru

Open access · greenAbstract read
In one paragraph

Article in Microbial pathogenesis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 6 pooled it
7.1field-weighted citation impact, top 2% 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

25 citing papers in PubMed, 6 syntheses or guidelines pooled it, 46 citations in OpenAlex.

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  6. Antibiotic Resistance during COVID-19: A Systematic Review.International journal of environmental research and public health · 2022
    Pooled it
  7. Antimicrobial resistance before and after the COVID-19 pandemic in Northern Brazil.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2026
    Article
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  14. Co-Infection of SARS-CoV-2 andDiagnostics (Basel, Switzerland) · 2024
    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

3 authors at 1 institution in 1 country.

Yasemin Genç BahçeSiirt Training and Research Hospital, Microbiology Laboratory, 56100, Siirt, Turkey.
Ömer AcerSiirt University, Medical Faculty, Department of Medical Microbiology, 56100, Siirt, Turkey. Electronic address: oacer21@gmail.com.
Osman ÖzüdoğruSiirt University, Medical Faculty, Department of Internal Medicine, 56100, Siirt, Turkey.
Siirt Üniversitesi · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarly reports have shown that critically ill patients infected with SARS-CoV-2 have a high prevalence of nosocomial pneumonia, particularly ventilator-associated pneumonia (VAP).

methodIn the present study, we determined the bacterial agents isolated from endotracheal aspirate (ETA) cultures of Covid-19 general intensive care patients and evaluated the antibiotic resistance profiles of common bacterial agents compared to the pre-pandemic period.

resultsWhile a total of 119 significant growths with polymicrobial growths were detected in the ETA cultures of 73 (7.5%) of 971 patients hospitalized in the intensive care unit before the pandemic, 87 significant growths were detected in the ETA cultures of 67 (11.1%) of 602 patients hospitalized in the Covid-19 intensive care unit (ICU) after the pandemic. While 61 (83.6%) of patients in the ICU died before the pandemic, 63 (94.0%) of patients in the Covid-19 ICU died after the pandemic. In terms of age, gender, and mortality, there was no significant difference between the two ICUs (p > 0.05). Before the pandemic, the mean length of stay in the ICU was 33.59 ± 32.89 days, and after the pandemic, it was 13.49 ± 8.03 days. This was a statistically significant difference (p < 0.05). Acinetobacter baumannii (28.5%), Klebsiella pneumoniae (22.6%), Pseudomonas aeruginosa (15.9%), Staphylococcus aureus (6.7%), Escherichia coli (7.5%), Candida spp. (5.0%) were the most prevalent causal microorganisms discovered in pre-pandemic ICU ETA samples, whereas A. baumannii (54.0%), K. pneumoniae (10.3%), P. aeruginosa (6.8%), E. faecium (8%), and Candida spp.(13.7%) were the most common causative microorganisms detected in Covid-19 ICU ETA samples. Except for tigecycline, antibiotic resistance rates in A. baumannii strains increased following the pandemic. Only tobramycin showed a significant difference in the increase of resistance among these antibiotics (p = 0.037). The rate of tigecycline resistance, on the other hand, was 17.6% before the pandemic and 2.2% afterward (p < 0.05). After the pandemic, increased resistance of K. pneumoniae strains to colistin, meropenem, ertapenem, amoxicillin-clavulanic acid, piperacillin-tazobactam, ciprofloxacin, tigecycline, and cefepime antibiotics was observed. However, these increases were not statistically significant. Except for imipenem, antibiotic resistance rates in P. aeruginosa strains increased following the pandemic. The increase in resistance of ceftazidime and levofloxacin was statistically significant (p < 0.05).

conclusionAs a result, the Covid-19 pandemic requires intensive care follow-ups at an earlier age and with a more mortal course. Although the length of stay in the intensive care unit has been shortened, it is observed that this situation is observed due to early mortality. In P. aeruginosa strains, a significant difference was detected in the resistance increase of the ceftazidime and levofloxacin (p < 0.05) and with the exception of tigecycline, antibiotic resistance rates in A. baumannii strains increased following the pandemic. Only tobramycin showed a significant difference in the increase of resistance among these antibiotics (p = 0.037). Secondary infections in patients create more difficult treatment processes due to both Covid-19 and increasing antibiotic resistance today.

Indexed as

Acinetobacter baumanniiCOVID-19Cross InfectionAnti-Bacterial AgentsCritical CareDrug Resistance, BacterialDrug Resistance, Multiple, BacterialHumansMicrobial Sensitivity TestsPandemicsSARS-CoV-2Anti-Bacterial AgentsAntimicrobial stewardshipBacterial co-infectionClinical outcomeSARS-CoV-2

Identifiers

PMID35041973
PMCPMC8760848
OpenAlexW4205526375

What OpenQuestion holds

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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.