Eravacycline, the first four years: health outcomes and tolerability data for 19 hospitals in 5 U.S. regions from 2018 to 2022.
Ashlan J Kunz CoyneSara AlosaimyKristen LucasAbdalhamid M LagnfTaylor MorrisetteKyle C MolinaAlaina DeKerlegandMelanie Rae SchrackS Lena Kang-BirkenAthena L V HobbsJazmin AgeeNicholson B PerkinsMark BiagiMichael PierceJames TruongJustin AndradeJeannette BouchardTristan GoreMadeline A KingBenjamin M PullingerKimberly C ClaeysShelbye HerbinReese CosimiSerina TartMichael P VeveBruce M JonesLeonor M RojasAmy K FeehanMarco R ScipioneJing J ZhaoPaige WituckiMichael Joseph RybakPublished in: Microbiology spectrum (2023)
The rise of multidrug-resistant (MDR) pathogens, especially MDR Gram-negatives, poses a significant challenge to clinicians and public health. These resilient bacteria have rendered many traditional antibiotics ineffective, underscoring the urgency for innovative therapeutic solutions. Eravacycline, a broad-spectrum fluorocycline tetracycline antibiotic approved by the FDA in 2018, emerges as a promising candidate, exhibiting potential against a diverse array of MDR bacteria, including Gram-negative, Gram-positive, anaerobic strains, and Mycobacterium. However, comprehensive data on its real-world application remain scarce. This retrospective cohort study, one of the largest of its kind, delves into the utilization of eravacycline across various infectious conditions in the USA during its initial 4 years post-FDA approval. Through assessing clinical, microbiological, and tolerability outcomes, the research offers pivotal insights into eravacycline's efficacy in addressing the pressing global challenge of MDR bacterial infections.
Keyphrases
- multidrug resistant
- gram negative
- drug resistant
- acinetobacter baumannii
- public health
- klebsiella pneumoniae
- open label
- electronic health record
- big data
- drug administration
- healthcare
- escherichia coli
- mycobacterium tuberculosis
- high resolution
- palliative care
- high throughput
- wastewater treatment
- double blind
- randomized controlled trial
- placebo controlled
- adipose tissue
- type diabetes
- machine learning
- pseudomonas aeruginosa
- climate change
- risk assessment
- high density
- single cell
- urinary incontinence
- insulin resistance