Acinetobacter species constitute a diverse group of Gram-negative bacteria that are ubiquitous in nature, found in various environments, including soil, water, and hospital settings. Acinetobacter baumannii, a clinically significant species within this genus, has emerged as a notorious opportunistic pathogen responsible for various healthcare-associated infections. Its ability to persist on surfaces and medical equipment, coupled with resistance to desiccation and disinfectants, contributes to its prevalence in hospital environments. Acinetobacter baumannii is associated with a range of infections, including ventilator-associated pneumonia, bloodstream infections, urinary tract infections, and wound infections. The bacteria often affect individuals with compromised immune systems, and their ability to develop multidrug resistance poses a substantial challenge in clinical management. Strains of Acinetobacter baumannii carrying carbapenemase genes further complicate treatment, limiting the available options for effective antibiotics. Efforts to control Acinetobacter infections involve strict adherence to infection prevention measures, such as hand hygiene, environmental cleaning, and surveillance. Ongoing research focuses on understanding the mechanisms of antibiotic resistance in Acinetobacter species and developing innovative therapeutic strategies to combat these resilient pathogens.
Title : Diagnostic approaches, predictive and prognostic assessments, monitoring, treatment & management of infectious diseases and disease prevention
Sergey Suchkov, N.D. Zelinskii Institute for Organic Chemistry of the Russian Academy of Sciences & InMedStar, Russian Federation
Title : The accelerated timeline: Human ecology, climate change, and the next global outbreak
Claudia Ferreira, Sorbonne University, France
Title : Climate change and increasing death due to resistant infection
Yazdan Mirzanejad, University of British Columbia, Canada
Title : Recurrent klebsiella pneumoniae pyogenic liver abscess: Developing a literature-informed 0–2 scoring framework from a solved index case
Martha Grace McLean, Anne Burnett Marion School of Medicine at Texas Christian University, United States
Title : Post-hysterectomy pelvic abscess mimic: An AI-assisted diagnostic stewardship workflow
Setu Shiroya, Anne Burnett Marion School of Medicine at Texas Christian University, United States
Title : Building a clinical reasoning tool from post-transplant MRSA sepsis: A mentored ai workflow
Michaela Mitchell, Anne Burnett Marion School of Medicine at Texas Christian University, United States