Carbapenem-resistant Pseudomonas aeruginosa before and during the covid-19 pandemic, a review in Latin America ; Pseudomonas aeruginosa resistente a los carbapenémicos antes y durante la pandemia, una revisión en Latinoamérica

Introduction: Pseudomonas aeruginosa is a gram-negative aerobic bacillus, negative for glucose and lactose fermentation. It is commonly isolated from the environment, including contaminated water, in the community, and also in healthcare settings. The purpose of this study is to collect information of the distribution of genes conferring carbapenem resistance in Latin America. Methods: This is a literature reviews that conducted from January 2016 to April 2023. Databases such as PubMed, Scielo, Elsevier, Google Scholar, BioMed Central (BMC), and official databases from each country were utilized to collect data on the frequency of P. aeruginosa. Results: A total of 35 articles were analyzed, finding that Peru reports over 65% of carbapenem resistance in P. aeruginosa. Statistical analysis using the t-Student identified that Ecuador, Argentina, Colombia, Peru, Paraguay, Venezuela, Nicaragua, Brazil, and Chile show a statistically significant difference (p≤0.05) over the years. In addition, the genes identified in Latin America that confer resistance to carbapenems are 〖bla〗_IMP ,〖bla〗_VIM, 〖bla〗_NDM, 〖bla〗_GES , 〖bla〗_KPC, 〖bla〗_OXA y 〖bla〗_SPM. Conclusions: It was identified that the prevalence of this microorganism has increased before and during the pandemic in Latin America, probably due to the indiscriminate use of antibiotics as empirical therapy in respiratory infections. ; Introducción: Pseudomonas aeruginosa es un bacilo gramnegativo aerobio, que es incapaz de fermentar glucosa y lactosa, está presente en el ambiente en aguas contaminadas, en la comunidad y también a nivel intrahospitalario, en este estudio se plantea recopilar información sobre la distribución de los genes que confieren resistencia a carbapenémicos en América Latina Métodos: Es un estudio de revisión bibliográfica de la literatura durante el periodo enero 2016 hasta abril 2023, en el cual se utilizó bases de datos como PubMed, Scielo, Elsevier, Google Scholar, BioMed Central (BMC) y bases de datos oficiales de cada país de la frecuencia ...