# Epidemiological Insights into Carbapenem-Resistant Enterobacterales Throughout the COVID-19 Pandemic in Buenos Aires, Argentina

**Authors:** Francisco González-Espinosa, Francisco Magariños, Sofía Ciminello, Roque Figueroa-Espinosa, María Sol Haim, Tomas Poklepovich, Nicolas Potente, Cecilia Ormazabal, Gabriel Gutkind, Daniela Cejas, Marcela Radice

PMC · DOI: 10.3390/antibiotics15030273 · Antibiotics · 2026-03-06

## TL;DR

This study examines how antibiotic-resistant bacteria, specifically carbapenem-resistant Enterobacterales, evolved during the COVID-19 pandemic in Buenos Aires, Argentina.

## Contribution

The study reveals a shift in resistance patterns and the spread of specific carbapenemase-producing Klebsiella pneumoniae clones during the pandemic.

## Key findings

- CRE isolates showed a significant shift from multidrug-resistant to extensively drug-resistant phenotypes during the pandemic.
- blaKPC-2 and blaNDM-5 were the most prevalent carbapenemase alleles in Klebsiella pneumoniae.
- The CG258-tonB79 clone of Klebsiella pneumoniae became dominant in both hospitals by 2022.

## Abstract

Background: Carbapenem-resistant Enterobacterales (CRE) are a global public health concern, with carbapenem-resistant Klebsiella pneumoniae (CR-Kp) recognised as the highest-priority pathogen. This study aimed to investigate the epidemiological features of CRE isolates throughout the COVID-19 pandemic in Buenos Aires, Argentina. Methods: A prospective study was conducted in two hospitals from 2019 to 2022, recovering all CRE from inpatients. Antimicrobial susceptibility was performed by automated and/or manual tests, according to CLSI. β-lactamases detection was performed using Multiplex PCR and MALDI-TOF MS. Kp typing was assessed by multiplex PCR and/or MLST based on WGS. Results: 22% (359/1594) were CRE, predominantly CR-Kp. Overall, high non-susceptibility (NS) rates were observed in both centres. NS remained largely stable in HA, except for a significant increase in colistin NS, whereas HB showed a rise in NS to multiple antimicrobials over time. A significant shift from multidrug-resistant to extensively drug-resistant and difficult-to-treat phenotypes was observed across the study periods. Out of 359 CRE, blaKPC was confirmed in 141, blaNDM in 170, and blaKPC + blaNDM in 20 isolates. Before the COVID-19 pandemic, KPC was the main carbapenemase in HB, while NDM was already the prevalent one in HA. In 2022, both enzymes showed similar prevalence. blaKPC-2 and blaNDM-5 were the prevalent alleles in K. pneumoniae. Before the COVID-19 pandemic, K. pneumoniae epidemiology varied by hospital, characterised by clonal diversity; however, in 2022, CG258-tonB79 drove the epidemiology in both hospitals. Conclusions: A more extensive resistance phenotype among CRE was evidenced throughout the COVID-19 pandemic, driven by carbapenemase-producing K. pneumoniae. NDM-5 and KPC-2 were the main carbapenemases identified. A temporal shift in carbapenemase prevalence was observed in each hospital, converging in similar frequencies of KPC and NDM by 2022 across both centres. This scenario was driven by the active dissemination of K. pneumoniae ST258.

## Linked entities

- **Diseases:** COVID-19 (MONDO:0100096)
- **Species:** Klebsiella pneumoniae (taxon 573)

## Full-text entities

- **Genes:** blaNDM-1 [NCBI Gene 17373266], Metallo-beta-Lactamase [NCBI Gene 11934636], New Delhi metallo-beta-lactamase [NCBI Gene 18983573], KPC-3 [NCBI Gene 13914487], extended-spectrum beta-lactamase [NCBI Gene 13982007], Beta-Lactamase [NCBI Gene 18262323], blaNDM-5 [NCBI Gene 17500164], KPC-2 [NCBI Gene 13914015]
- **Diseases:** DTR (MESH:D019553), injury to (MESH:D014947), infections (MESH:D007239), KPC (MESH:D007710), XDR (MESH:D054908), CRE (MESH:D060467), NDM (MESH:D007562), NS (MESH:C562694), HA (MESH:C537629), MDR (MESH:D018088), COVID-19 (MESH:D000086382), Gram-negative infections (MESH:D016905), PDR (MESH:C564461)
- **Chemicals:** monobactams (MESH:D008997), Amikacin (MESH:D000583), meropenem (MESH:D000077731), AKN (-), avibactam (MESH:C543519), glycerol (MESH:D005990), quinolones (MESH:D015363), EDTA (MESH:D004492), zinc (MESH:D015032), beta-lactam (MESH:D047090), Carbapenem (MESH:D015780), relebactam (MESH:C568736), iron (MESH:D007501), Cefiderocol (MESH:C000612166), doripenem (MESH:D000077726), fluoroquinolones (MESH:D024841), penicillins (MESH:D010406), imipenem (MESH:D015378), vaborbactam (MESH:C000626994), ertapenem (MESH:D000077727), ciprofloxacin (MESH:D002939), cephalosporin (MESH:D002511), tazobactam (MESH:D000078142), TMS (MESH:D015662), gentamicin (MESH:D005839), clavulanate (MESH:D019818), PBA (MESH:C010686), formic acid (MESH:C030544), tigecycline (MESH:D000078304), CZA (MESH:C000595613), aztreonam (MESH:D001398)
- **Species:** Enterobacterales (order) [taxon 91347], Meleagris gallopavo (common turkey, species) [taxon 9103], Providencia rettgeri (species) [taxon 587], Homo sapiens (human, species) [taxon 9606], Enterobacteriaceae (enterobacteria, family) [taxon 543], Hepatovirus A (no rank) [taxon 12092], Klebsiella pneumoniae (species) [taxon 573], Providencia stuartii (species) [taxon 588], Escherichia coli (E. coli, species) [taxon 562]

## Full text

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## Figures

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## References

51 references — full list in the complete paper: https://tomesphere.com/paper/PMC13024722/full.md

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Source: https://tomesphere.com/paper/PMC13024722