Evidence map›Paper›PMID 41634601›Full record

ArticleBMC infectious diseases2026

Healthcare-associated infections before and during the pandemic: four-year follow-up.

İbrahim Erayman, Bahar Kandemir, Rukiyye Bulut, Mehmet Akgül, Mehmet Uyar, Esma Kepenek Kurt

Abstract read
In one paragraph

Article in BMC infectious diseases, 2026. 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. Observational
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

6 authors.

İbrahim EraymanFaculty of Medicine, Department of Infectious Diseases and Clinical Microbiology, Necmettin Erbakan University, Konya, Türkiye.ORCID http://orcid.org/0000-0002-7491-2710
Bahar KandemirFaculty of Medicine, Department of Infectious Diseases and Clinical Microbiology, Necmettin Erbakan University, Konya, Türkiye.ORCID http://orcid.org/0000-0002-9815-8767
Rukiyye BulutFaculty of Medicine, Department of Infectious Diseases and Clinical Microbiology, Necmettin Erbakan University, Konya, Türkiye. dr.rukiyye@hotmail.com.ORCID http://orcid.org/0000-0002-3155-4036
Mehmet AkgülFaculty of Medicine, Department of Infectious Diseases and Clinical Microbiology, Necmettin Erbakan University, Konya, Türkiye.ORCID http://orcid.org/0009-0006-5390-0039
Mehmet UyarFaculty of Medicine, Department of Public Health, Necmettin Erbakan University , Konya, Türkiye.ORCID http://orcid.org/0000-0002-3954-7471
Esma Kepenek KurtFaculty of Medicine, Department of Infectious Diseases and Clinical Microbiology, Necmettin Erbakan University, Konya, Türkiye.ORCID http://orcid.org/0000-0002-0295-1745

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealthcare-associated infections (HAIs) are important because they increase morbidity and mortality, prolong hospital stays, raise healthcare costs, and reduce quality of life. Identifying HAIs and assessing pathogen distribution and antimicrobial resistance patterns are essential for effective infection prevention and control. The COVID-19 pandemic has posed additional challenges to hospital infection control. Therefore, this study aimed to compare the incidence and characteristics of HAIs before and during the pandemic.

methodsThis retrospective study analyzed the surveillance records of HAIs and their causative agents in our hospital between January 2018 and December 2021. The incidence of HAIs, the distribution of causative microorganisms, and antimicrobial resistance profiles were compared between the pre-pandemic and pandemic periods.

resultsThe overall rate and incidence density of HAIs were 0.97 and 2.08 in 2018–2019, and 0.91 and 2.04 in 2020–2021, respectively, with no statistically significant difference between the two periods. The most common HAIs identified across all years were bloodstream infections, followed by pneumonia and surgical site infections. A significant increase in the rate of pneumonia was observed during the pandemic period (p = 0.0011). Most of the pathogens isolated throughout the study period were Gram-negative bacteria, while the proportion of Gram-positive bacteria was significantly lower during the pandemic period (p = 0.004). Among all isolates, Acinetobacter spp., Klebsiella spp., and Pseudomonas spp. were the most frequently detected pathogens. During the pandemic period, the rate of Klebsiella spp. increased, whereas the rates of E. coli, coagulase-negative Staphylococcus, and Enterococcus spp. decreased. Over the years, antimicrobial resistance among Gram-negative bacteria showed an increasing trend, while a decline in vancomycin-resistant Enterococcus rates was observed. The most common device-associated infection in intensive care units was ventilator-associated pneumonia (VAP).

conclusionsThe COVID-19 pandemic challenged infection control due to increased patient load and healthcare worker burden, leading to a rise in pneumonia and VAP cases. The decline in Gram-positive pathogens suggests limiting the empirical use of glycopeptides, while the increase in resistant Gram-negative bacteria underscores the need for strengthened, data-driven infection control and antimicrobial stewardship programs.

Indexed as

COVID-19Cross InfectionAdultAgedAnti-Bacterial AgentsBacteriaDrug Resistance, BacterialFemaleFollow-Up StudiesHumansIncidenceMaleMiddle AgedPandemicsRetrospective StudiesSARS-CoV-2Anti-Bacterial AgentsAntimicrobial resistanceHealthcare-associated infectionPandemicSurveillance

Identifiers

PMID41634601
PMCPMC12958545

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LicenceCC BY-NC-ND
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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.