Recent estimates of inpatient antibiotic use in the USA suggest that broad-spectrum antibiotic use has increased significantly. The objective of this study was to assess the impact of a selective antibiotic susceptibility reporting intervention on broad-spectrum intravenous (i.v.) antibiotic use in seven hospitals of a health system in New Jersey. This was a retrospective pre- and post-intervention ecological study. Standardised selective antibiotic susceptibility reporting rules were developed and implemented between January 2016 and June 2017. The 8 months before and after each individual hospital's implementation constituted the pre- and post-intervention study periods. The primary outcome was the rate of broad-spectrum i.v. antibiotic use for hospital-onset/multidrug-resistant infections (broad MDR). Secondary outcome measures were the use rates of non-glycopeptide anti-methicillin-resistant Staphylococcus aureus (anti-MRSA) agents, carbapenems, non-carbapenem antipseudomonal β-lactams, third-generation cephalosporins, first/second-generation cephalosporins, fluoroquinolones and narrow-spectrum penicillins. Antibiotic use data were collected as inpatient i.v. antibiotic days of therapy per 1000 patient days (DOT/1000-PD). Interrupted time series analysis with segmented regression was used to compare outcomes. There was no significant change in the use of broad MDR agents (slope change, +0.54 DOT/1000-PD per month, 95% confidence interval -1.78 to 2.87) or other antibiotic classes. Whilst the implementation of selective antibiotic susceptibility reporting across seven hospitals had no impact on overall broad-spectrum i.v. antibiotic use, further study is needed to determine the long-term impact of this intervention.
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http://dx.doi.org/10.1016/j.ijantimicag.2019.06.011 | DOI Listing |
Nat Commun
December 2024
Michael Smith Laboratories, University of British Columbia, Vancouver, V6T 1Z4, BC, Canada.
Heritable phenotypic variation plays a central role in evolution by conferring rapid adaptive capacity to populations. Mechanisms that can explain genetic diversity by describing connections between genotype and organismal fitness have been described. However, the difficulty of acquiring comprehensive data on genotype-phenotype-environment relationships has hindered the efforts to explain how the ubiquitously observed phenotypic variation in populations emerges and is maintained.
View Article and Find Full Text PDFJ Biomol Struct Dyn
December 2024
Department of Biotechnology, School of Bioengineering, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu, Tamilnadu, India.
Antimicrobial Resistance poses a major threat to human health worldwide. Microorganisms develop multi-drug resistance due to intrinsic factors, evolutionary chromosomal alterations, and horizontal gene transfer. , a common nosocomial bacterium, can cause various infections and is classified as multidrug-resistant.
View Article and Find Full Text PDFJ Biomol Struct Dyn
February 2025
Department of Chemistry, School of Advanced Sciences, Vellore Institute of Technology, Vellore, India.
is one of the opportunistic pathogens that may cause serious health problems and can produce several virulence factors, which are responsible for various infections, particularly in immunocompromised patients. They are responsible for producing infections on indwelling medical devices by attaching on to them and forming a biofilm. Antibiofilm, antivirulence, and gene expression studies of biofilm treated with esters of flavonols were evaluated.
View Article and Find Full Text PDFBrief Bioinform
November 2024
Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Chaoyang District, Beijing 100020, China.
Drug resistance in Mycobacterium tuberculosis (Mtb) is a significant challenge in the control and treatment of tuberculosis, making efforts to combat the spread of this global health burden more difficult. To accelerate anti-tuberculosis drug discovery, repurposing clinically approved or investigational drugs for the treatment of tuberculosis by computational methods has become an attractive strategy. In this study, we developed a virtual screening workflow that combines multiple machine learning and deep learning models, and 11 576 compounds extracted from the DrugBank database were screened against Mtb.
View Article and Find Full Text PDFWound Repair Regen
December 2024
Department of Dermatology, University of California Davis School of Medicine, Sacramento, California, USA.
Bacterial biofilms represent a formidable challenge in the treatment of chronic wounds, largely because of their resistance to conventional antibiotics. The emergence of multidrug-resistant (MDR) bacterial strains exacerbates this issue, necessitating a shift towards exploring alternative therapeutic approaches. In response to this urgent need, there has been a surge in research efforts aimed at identifying effective non-antibiotic treatments.
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