Epidemiology, Evolution of Antimicrobial Profile and Genomic Fingerprints of Pseudomonas aeruginosa before and during COVID-19: Transition from Resistance to Susceptibility

Author:

Coșeriu Răzvan LucianORCID,Vintilă Camelia,Mare Anca Delia,Ciurea Cristina NicoletaORCID,Togănel Radu Ovidiu,Cighir Anca,Simion Anastasia,Man AdrianORCID

Abstract

Background: The purpose of the study was to describe the epidemiological implication of Pseudomonas aeruginosa between 2017–2022 in a tertiary hospital from Romania, including the molecular fingerprinting of similar phenotypic strains (multidrug-resistant isolates), which would have an important health impact. The study also describes the resistance profile of P. aeruginosa before and during COVID-19, which might bring new information regarding the management of antibiotic treatments. Materials and methods: Information regarding wards, specimen types, species, and antibiotic resistance profile of 1994 strains of Pseudomonas spp. Isolated over a period of 6 years in Mures Clinical County Hospital, Romania, was collected from the WHONET database. From 50 multidrug-resistant isolates, molecular fingerprinting was performed by Enterobacterial Repetitive Intergenic Consensus Polymerase Chain Reaction (ERIC-PCR) to prove the potential clonal distribution. Results: A number of 1994 Pseudomonas spp. were isolated between 2017–2022, from which P. aeruginosa was the most frequent species, 97.39% (n = 1942). P. aeruginosa was most frequently isolated in 2017 (n = 538), with the dermatology department as the main source, mainly from pus secretion. A drop in the harvesting rate was noted in 2020 due to COVID-19 restrictions. Regarding the resistance profile, there are a few modifications. The susceptibility of P. aeruginosa to carbapenems, piperacillin-tazobactam, and amikacin suffered alterations before and during COVID-19. The molecular fingerprinting showed three P. aeruginosa clusters, including strains with 80–99% similarity.

Publisher

MDPI AG

Subject

Paleontology,Space and Planetary Science,General Biochemistry, Genetics and Molecular Biology,Ecology, Evolution, Behavior and Systematics

Reference48 articles.

1. Clinical Risk Factors for Death Caused by Extended-Spectrum Beta-Lactamase: Producing Bacteria;Mita;Urol. Int.,2019

2. Centers for Disease Control and Prevention (U.S.) (2019). Antibiotic Resistance Threats in the United States, 2019.

3. (1996). Infectious Diseases Kill over 17 Million People a Year: WHO Warns of Global Crisis. Indian Pediatr., 33, 617–623.

4. Prescribing Antibiotics for Respiratory Tract Infections by GPs: Management and Prescriber Characteristics;Akkerman;Br. J. Gen. Pract.,2005

5. Factors Associated with Antibiotic Misuse in Outpatient Treatment for Upper Respiratory Tract Infections;Schroeck;Antimicrob. Agents Chemother.,2015

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