ArticlePathogens (Basel, Switzerland)2023
The Impact of the COVID-19 Pandemic on Antimicrobial Resistance and Management of Bloodstream Infections.
Article in Pathogens (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 4 of them syntheses that pooled it.
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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.
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Who cites it
35 citing papers in PubMed, 4 syntheses or guidelines pooled it, 32 citations in OpenAlex.
- Iran's Escherichia coli AMR Landscape (2010-2025): A One Health Systematic Review and Meta-Analysis.MicrobiologyOpen · 2026Pooled it
- Pooled it
- Global status of antimicrobial resistance in clinical Enterococcus faecalis isolates: systematic review and meta-analysis.Annals of clinical microbiology and antimicrobials · 2024Pooled it
- Preventive Vitamin D Supplementation and Risk for COVID-19 Infection: A Systematic Review and Meta-Analysis.Nutrients · 2024Pooled it
- Five years of wastewater surveillance reveal COVID-19-Associated amplification and seasonal shifts inOne health (Amsterdam, Netherlands) · 2026Article
- Article
- Changes in the Epidemiology of Multidrug-Resistant Organisms During the COVID-19 Pandemic: A Six-Year Retrospective Study at a Tertiary Care Hospital in Northeastern Thailand.Medical sciences (Basel, Switzerland) · 2026Observational
- Trends in Enterobacteriaceae Resistance Patterns: A Nine-Year Retrospective Study From North Lebanon.Health science reports · 2026Article
- Isolated pathogens, antimicrobial susceptibility, and clinical outcomes in intensive care unit patients at a tertiary hospital in Ethiopia: a retrospective cross sectional study.BMC anesthesiology · 2026Article
- Impact of COVID-19 Pandemic on Antibiotic Resistance Patterns of Common Bacterial Pathogens to Antibiotics in Northern Ghana.Journal of clinical laboratory analysis · 2026Article
- SARS-CoV-2-International journal of microbiology · 2026Review
- Self-care strategies and interventions to address antimicrobial resistance: evidence review and recommendations for national programs, service providers, caregivers, and self-carers.Frontiers in public health · 2026Review
- Investigation of antibiotic resistance against pathogens isolated from respiratory samples in intensive care units after SARS-CoV-2 pandemic.BMC infectious diseases · 2025Article
- COVID-19 impact on AMR: a rapid scoping review, equity analysis and evidence gap map study.BMJ global health · 2025Article
- Combating Healthcare-Associated Infections in Modern Hospitals: Nanotechnology-Based Approaches in the Era of Antimicrobial Resistance.Nanomaterials (Basel, Switzerland) · 2025Review
- A Retrospective Study on Coinfections, Antimicrobial Resistance, and Mortality Risk Among COVID-19 Patients (2020-2021) with Consideration of Long-COVID Outcomes.Microorganisms · 2025Article
- From Pandemic to Resistance: Addressing Multidrug-Resistant Urinary Tract Infections in the Balkans.Antibiotics (Basel, Switzerland) · 2025Review
- Shifts inMicrobiology spectrum · 2025Article
- Exploring the Potential of Phytocannabinoids Against Multidrug-Resistant Bacteria.Plants (Basel, Switzerland) · 2025Article
- Unveiling the impact: COVID-19's influence on bacterial resistance in the Kingdom of Bahrain.World journal of virology · 2025Article
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThe pressure of the COVID-19 pandemic on healthcare systems led to limited roles of infectious diseases services, increased rates of irrational use of antimicrobials, and incidence of infections by multidrug-resistant microorganisms. The aim of the present study is to evaluate the incidence of antimicrobial resistance and the management of bloodstream infections before and during the COVID-19 pandemic at the University General Hospital of Alexandroupolis (Greece). MATERIALS AND
methodsThis is a retrospective study conducted from January 2018 to December 2022. Data were collected from the University Microbiology Laboratory per semester regarding the isolated strains of Gram-positive and -negative bacteria in blood cultures and respiratory samples in hospitalized patients in medical and surgical wards and in the intensive care unit (ICU). Additionally, bloodstream infections with requested infectious disease consultations were reported (n = 400), determining whether these were carried out via telephone contact or at the patient's bedside. Demographic data, comorbidities, focus of infection, antimicrobial regimen, duration of treatment, length of hospitalization, and clinical outcome were analyzed.
resultsA total of 4569 strains of Gram-positive and -negative bacteria were isolated. An increasing trend was reported compared to the pre-pandemic period in the incidence of resistant Gram-negative bacteria, particularly in ICUs. Prior antimicrobial use and the rate of hospital-acquired infections were increased significantly during the pandemic. In the pre-pandemic period 2018-2019, a total of 246 infectious disease consultations were carried out, while during the period 2020-2022, the number was 154, with the percentage of telephone consultations 15% and 76%, respectively. Detection of the source of infection and timely administration of appropriate antimicrobial agents were more frequently recorded before the pandemic, and 28-day mortality was significantly reduced in cases with bedside consultations.
conclusionThe empowering of infectious disease surveillance programs and committees, rational use of antimicrobials agents, and bedside infectious disease consultations are vital in order to reduce the impact of infections caused by multidrug-resistant strains.
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Registered trials
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.