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Epidemiology, Mechanisms of Resistance and Treatment Algorithm for Infections Due to Carbapenem-Resistant Gram-Negative Bacteria: An Expert Panel Opinion
Antimicrobial resistance represents a serious threat for global health, causing an unacceptable burden in terms of morbidity, mortality and healthcare costs. In particular, in 2017, carbapenem-resistant organisms were listed by the WHO among the group of pathogens for which novel treatment strategie...
| Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9495208/ https://www.ncbi.nlm.nih.gov/pubmed/36140042 http://dx.doi.org/10.3390/antibiotics11091263 |
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| author | Coppola, Nicola Maraolo, Alberto Enrico Onorato, Lorenzo Scotto, Riccardo Calò, Federica Atripaldi, Luigi Borrelli, Anna Corcione, Antonio De Cristofaro, Maria Giovanna Durante-Mangoni, Emanuele Filippelli, Amelia Franci, Gianluigi Galdo, Maria Guglielmi, Gaspare Pagliano, Pasquale Perrella, Alessandro Piazza, Ornella Picardi, Marco Punzi, Rodolfo Trama, Ugo Gentile, Ivan |
| author_facet | Coppola, Nicola Maraolo, Alberto Enrico Onorato, Lorenzo Scotto, Riccardo Calò, Federica Atripaldi, Luigi Borrelli, Anna Corcione, Antonio De Cristofaro, Maria Giovanna Durante-Mangoni, Emanuele Filippelli, Amelia Franci, Gianluigi Galdo, Maria Guglielmi, Gaspare Pagliano, Pasquale Perrella, Alessandro Piazza, Ornella Picardi, Marco Punzi, Rodolfo Trama, Ugo Gentile, Ivan |
| author_sort | Coppola, Nicola |
| collection | PubMed |
| description | Antimicrobial resistance represents a serious threat for global health, causing an unacceptable burden in terms of morbidity, mortality and healthcare costs. In particular, in 2017, carbapenem-resistant organisms were listed by the WHO among the group of pathogens for which novel treatment strategies are urgently needed. Fortunately, several drugs and combinations have been introduced in recent years to treat multi-drug-resistant (MDR) bacteria. However, a correct use of these molecules is needed to preserve their efficacy. In the present paper, we will provide an overview on the epidemiology and mechanisms of resistance of the most common MDR Gram-negative bacteria, proposing a treatment algorithm for the management of infections due to carbapenem-resistant bacteria based on the most recent clinical evidence. |
| format | Online Article Text |
| id | pubmed-9495208 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2022 |
| publisher | MDPI |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-94952082022-09-23 Epidemiology, Mechanisms of Resistance and Treatment Algorithm for Infections Due to Carbapenem-Resistant Gram-Negative Bacteria: An Expert Panel Opinion Coppola, Nicola Maraolo, Alberto Enrico Onorato, Lorenzo Scotto, Riccardo Calò, Federica Atripaldi, Luigi Borrelli, Anna Corcione, Antonio De Cristofaro, Maria Giovanna Durante-Mangoni, Emanuele Filippelli, Amelia Franci, Gianluigi Galdo, Maria Guglielmi, Gaspare Pagliano, Pasquale Perrella, Alessandro Piazza, Ornella Picardi, Marco Punzi, Rodolfo Trama, Ugo Gentile, Ivan Antibiotics (Basel) Review Antimicrobial resistance represents a serious threat for global health, causing an unacceptable burden in terms of morbidity, mortality and healthcare costs. In particular, in 2017, carbapenem-resistant organisms were listed by the WHO among the group of pathogens for which novel treatment strategies are urgently needed. Fortunately, several drugs and combinations have been introduced in recent years to treat multi-drug-resistant (MDR) bacteria. However, a correct use of these molecules is needed to preserve their efficacy. In the present paper, we will provide an overview on the epidemiology and mechanisms of resistance of the most common MDR Gram-negative bacteria, proposing a treatment algorithm for the management of infections due to carbapenem-resistant bacteria based on the most recent clinical evidence. MDPI 2022-09-17 /pmc/articles/PMC9495208/ /pubmed/36140042 http://dx.doi.org/10.3390/antibiotics11091263 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
| spellingShingle | Review Coppola, Nicola Maraolo, Alberto Enrico Onorato, Lorenzo Scotto, Riccardo Calò, Federica Atripaldi, Luigi Borrelli, Anna Corcione, Antonio De Cristofaro, Maria Giovanna Durante-Mangoni, Emanuele Filippelli, Amelia Franci, Gianluigi Galdo, Maria Guglielmi, Gaspare Pagliano, Pasquale Perrella, Alessandro Piazza, Ornella Picardi, Marco Punzi, Rodolfo Trama, Ugo Gentile, Ivan Epidemiology, Mechanisms of Resistance and Treatment Algorithm for Infections Due to Carbapenem-Resistant Gram-Negative Bacteria: An Expert Panel Opinion |
| title | Epidemiology, Mechanisms of Resistance and Treatment Algorithm for Infections Due to Carbapenem-Resistant Gram-Negative Bacteria: An Expert Panel Opinion |
| title_full | Epidemiology, Mechanisms of Resistance and Treatment Algorithm for Infections Due to Carbapenem-Resistant Gram-Negative Bacteria: An Expert Panel Opinion |
| title_fullStr | Epidemiology, Mechanisms of Resistance and Treatment Algorithm for Infections Due to Carbapenem-Resistant Gram-Negative Bacteria: An Expert Panel Opinion |
| title_full_unstemmed | Epidemiology, Mechanisms of Resistance and Treatment Algorithm for Infections Due to Carbapenem-Resistant Gram-Negative Bacteria: An Expert Panel Opinion |
| title_short | Epidemiology, Mechanisms of Resistance and Treatment Algorithm for Infections Due to Carbapenem-Resistant Gram-Negative Bacteria: An Expert Panel Opinion |
| title_sort | epidemiology, mechanisms of resistance and treatment algorithm for infections due to carbapenem-resistant gram-negative bacteria: an expert panel opinion |
| topic | Review |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9495208/ https://www.ncbi.nlm.nih.gov/pubmed/36140042 http://dx.doi.org/10.3390/antibiotics11091263 |
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