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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Carbapenemase-Encoding Genes and Colistin Resistance in Gram-Negative Bacteria During the COVID-19 Pandemic in Mexico: Results from the Invifar Network
|
|---|---|
| Published in |
Microbial Drug Resistance: Mechanism, Epidemiology, & Disease, December 2022
|
| DOI | 10.1089/mdr.2022.0226 |
| Pubmed ID | |
| Authors |
Ulises Garza-Ramos, Jesús Silva-Sánchez, Luis Esaú López-Jácome, Melissa Hernández-Durán, Claudia Adriana Colín-Castro, Alejandro Sánchez-Pérez, Jonathan Rodríguez-Santiago, Rayo Morfín-Otero, Eduardo Rodriguez-Noriega, María-del-Consuelo Velázquez-Acosta, María Del Rosario Vázquez-Larios, José Manuel Feliciano-Guzmán, Fabián Rojas-Larios, Alfredo Ponce-De-Leon, Margarita Lozano-Garcia, Elena Victoria Choy-Chang, Eduardo López-Gutiérrez, Aarón Molina-Jaimes, Mariana Gil-Veloz, Reyna Edith Corte-Rojas, Ismelda López-Ovilla, Jose Luis Ramirez-Mis, Dora Elia Rodríguez-Balderas, Alejandro Molina-Chavarria, Cecilia Padilla-Ibarra, Maria Angelina Quevedo-Ramos, Christian Daniel Mireles-Dávalos, Nadia Rodríguez-Medina, Daira Rubio-Mendoza, Carlos Córdova-Fletes, Flora Cruz-López, Dilva Angelina Becerra-Montejano, Roberto Mercado-Longoria, Rebeca Thelma Martínez-Villarreal, Nicolás Rogelio Eric Barlandas-Rendón, Juan Pablo Mena-Ramírez, Carlos Antonio Couoh-May, Margarita Alcaraz-Espejel, César Adame-Alvarez, Lourdes Hernández-Vicente, Elvira Garza-González |
| Abstract |
In this study, we report the carbapenemase-encoding genes and colistin resistance in Escherichia coli, Klebsiella pneumoniae, Acinetobacter baumannii, and Pseudomonas aeruginosa in the second year of the COVID-19 pandemic. Clinical isolates included carbapenem-resistant K. pneumoniae, carbapenem-resistant E. coli, carbapenem-resistant A. baumannii, and carbapenem-resistant P. aeruginosa. Carbapenemase-encoding genes were detected by PCR. Carbapenem-resistant K. pneumoniae and carbapenem-resistant E. coli isolates were analyzed using the Rapid Polymyxin NP assay. mcr genes were screened by PCR. Pulsed-field gel electrophoresis and whole-genome sequencing were performed on representative isolates. A total of 80 carbapenem-resistant E. coli, 103 carbapenem-resistant K. pneumoniae, 284 carbapenem-resistant A. baumannii, and 129 carbapenem-resistant P. aeruginosa isolates were recovered. All carbapenem-resistant E. coli and carbapenem-resistant K. pneumoniae isolates were included for further analysis. A selection of carbapenem-resistant A. baumannii and carbapenem-resistant P. aeruginosa strains was further analyzed (86 carbapenem-resistant A. baumannii and 82 carbapenem-resistant P. aeruginosa). Among carbapenem-resistant K. pneumoniae and carbapenem-resistant E. coli isolates, the most frequent gene was blaNDM (86/103 [83.5%] and 72/80 [90%], respectively). For carbapenem-resistant A. baumannii, the most frequently detected gene was blaOXA-40 (52/86, 60.5%), and for carbapenem-resistant P. aeruginosa, was blaVIM (19/82, 23.2%). For carbapenem-resistant A. baumannii, five indistinguishable pulsotypes were detected. Circulation of K. pneumoniae New Delhi metallo-β-lactamase (NDM) and E. coli NDM was detected in Mexico. High virulence sequence types (STs), such as K. pneumoniae ST307, E. coli ST167, P. aeruginosa ST111, and A. baumannii ST2, were detected. Among K. pneumoniae isolates, 18/101 (17.8%) were positive for the Polymyxin NP test (two, 11.0% positive for the mcr-1 gene, and one, 5.6% with disruption of the mgrB gene). All E. coli isolates were negative for the Polymyxin NP test. In conclusion, K. pneumoniae NDM and E. coli NDM were detected in Mexico, with the circulation of highly virulent STs. These results are relevant in clinical practice to guide antibiotic therapies considering the molecular mechanisms of resistance to carbapenems. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 2 | 18% |
| Ireland | 1 | 9% |
| United States | 1 | 9% |
| United Kingdom | 1 | 9% |
| Venezuela, Bolivarian Republic of | 1 | 9% |
| Unknown | 5 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 91% |
| Scientists | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 14% |
| Other | 2 | 9% |
| Student > Master | 2 | 9% |
| Student > Ph. D. Student | 2 | 9% |
| Lecturer | 1 | 5% |
| Other | 3 | 14% |
| Unknown | 9 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 18% |
| Immunology and Microbiology | 3 | 14% |
| Medicine and Dentistry | 2 | 9% |
| Linguistics | 1 | 5% |
| Agricultural and Biological Sciences | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 10 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 January 2023.
All research outputs
#4,945,783
of 26,522,772 outputs
Outputs from Microbial Drug Resistance: Mechanism, Epidemiology, & Disease
#53
of 1,216 outputs
Outputs of similar age
#100,633
of 495,461 outputs
Outputs of similar age from Microbial Drug Resistance: Mechanism, Epidemiology, & Disease
#1
of 11 outputs
Altmetric has tracked 26,522,772 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,216 research outputs from this source. They receive a mean Attention Score of 2.5. This one has done particularly well, scoring higher than 95% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 495,461 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.