Abstract
Pseudomonas aeruginosa is a significant cause of lung infections in patients with cystic fibrosis (CF). Pseudomonas produces a chronic infection that increases the morbidity and mortality in affected individuals. The rapid identification of Pseudomonas in these individuals enables conventional antimicrobial treatment to be started. However, over the years, treatment of P. aeruginosa has become problematic and very challenging due to their intrinsic and acquired antibiotic resistance. Microbiology plays an essential role in determining the antimicrobial susceptibility/resistance profiles of isolated strains, helping to optimize antimicrobial treatment for affected patients. In addition to the conventional susceptibility analysis, whole genome sequencing has emerged as a powerful tool for determining specific genomic variants, both in specific geographic areas and globally. Thus, molecular epidemiologic surveillance could help to establish a better treatment strategy and counter the spread of high-risk, P. aeruginosa variants among CF individuals.
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