Novel Antibiotics for Gram-Negative Nosocomial Pneumonia.
Maria Panagiota AlmyroudiAina ChangIoannis AndrianopoulosGeorgios PapathanakosReena MehtaElizabeth ParamythiotouDespoina KoulentiPublished in: Antibiotics (Basel, Switzerland) (2024)
Nosocomial pneumonia, including hospital-acquired pneumonia and ventilator-associated pneumonia, is the leading cause of death related to hospital-acquired infections among critically ill patients. A growing proportion of these cases are attributed to multi-drug-resistant (MDR-) Gram-negative bacteria (GNB). MDR-GNB pneumonia often leads to delayed appropriate treatment, prolonged hospital stays, and increased morbidity and mortality. This issue is compounded by the increased toxicity profiles of the conventional antibiotics required to treat MDR-GNB infections. In recent years, several novel antibiotics have been licensed for the treatment of GNB nosocomial pneumonia. These novel antibiotics are promising therapeutic options for treatment of nosocomial pneumonia by MDR pathogens with certain mechanisms of resistance. Still, antibiotic resistance remains an evolving global crisis, and resistance to novel antibiotics has started emerging, making their judicious use crucial to prolong their shelf-life. This article presents an up-to-date review of these novel antibiotics and their current role in the antimicrobial armamentarium. We critically present data for the pharmacokinetics/pharmacodynamics, the in vitro spectrum of antimicrobial activity and resistance, and in vivo data for their clinical and microbiological efficacy in trials. Where possible, available data are summarized specifically in patients with nosocomial pneumonia, as this cohort may exhibit 'critical illness' physiology that affects drug efficacy.
Keyphrases
- multidrug resistant
- acinetobacter baumannii
- drug resistant
- gram negative
- klebsiella pneumoniae
- healthcare
- respiratory failure
- community acquired pneumonia
- electronic health record
- public health
- emergency department
- oxidative stress
- escherichia coli
- intensive care unit
- machine learning
- acute care
- combination therapy
- pseudomonas aeruginosa
- artificial intelligence
- smoking cessation