Can risk factors and risk scores help predict colonization and infection in multidrug-resistant gram-negative bacteria?
作者信息
Restrepo-Arbeláez Natalia, García-Betancur Juan Carlos, Pallares Christian José, El Ayoubi L'Emir Wassim, Kiratisin Pattarachai, Kanj Souha S, Villegas María Virginia
机构信息
Grupo de investigación en Resistencia Antimicrobiana y Epidemiología Hospitalaria (RAEH), Universidad El Bosque, Bogotá D.C., Colombia.
Clínica Imbanaco Grupo Quirónsalud, Cali, Colombia.
出版信息
Antimicrob Steward Healthc Epidemiol. 2024 Nov 11;4(1):e196. doi: 10.1017/ash.2024.455. eCollection 2024.
Antimicrobial resistance (AMR) is positioning as one of the most relevant threats to global public health and threatens the effective treatment of an ever-growing number of bacterial infections in various healthcare settings, particularly in acute care and surgical units, as well as in the community. Among multidrug-resistant (MDR) gram-negative bacteria (MDRGNB), , and require special attention, since they account for most of the mortality associated with bacterial infections and are often MDR. It is clear that there is an important global variation in antibiotic resistance profiles among MDRGNB species. Extended-spectrum β-lactamase-producing , carbapenem-resistant , DTR-, and MDR- are the focus of this review. Here, we summarize a series of relevant studies on risk factors associated with colonization and infection with these MDRGNB. Likewise, we offer a comparative overview of those studies providing scoring systems to predict the risk of infection with these MDR pathogens, and their pros and cons. Despite the variable accuracy of published risk factors for predicting colonization or infection with MDRGNB, these scores are valuable tools that may help anticipate colonization and infection among those colonized. More importantly, they may help reduce unnecessary use of broad-spectrum antimicrobials and guiding the selection of an optimal treatment.
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