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1.
J Pharm Pract ; 35(6): 864-869, 2022 Dec.
Article in English | MEDLINE | ID: mdl-33902351

ABSTRACT

INTRODUCTION: The latest vancomycin therapeutic drug monitoring guidelines for serious MRSA infections have made a pivotal change in dosing, switching from targeting trough levels to AUC dosing. Because of these new recommendations, antimicrobial stewardship programs across the country are tasked with implementing AUC based dosing. OBJECTIVES: To assess plans for institutional adoption of vancomycin AUC dosing programs and perceptions of currently used programs in hospitals across the US. METHODS: An electronic survey was distributed to members of the American College of Clinical Pharmacy IDprn Listserv and American Society of Health-System Pharmacists between May and June 2020 to assess current institutional vancomycin dosing. Institutional program use and multiple software user parameters were analyzed using descriptive statistics. RESULTS: Two hundred two pharmacists responded to the survey with the majority practicing in institutions with 251-500 beds. Most respondents have yet to implement AUC dosing (142/202, 70.3%) with many of them planning to do so in the next year (81/142, 57.0%). Of those that already implemented AUC dosing programs, purchased Bayesian software (23/60, 38.3%) and homemade software (21/60, 35.0%) were the 2 methods most frequently utilized. Purchased Bayesian software users were more likely to recommend their software to other institutions and ranked user friendliness higher compared to non-purchased software. CONCLUSION: Most respondents have not made the switch to vancomycin AUC dosing, but there is a growing interest with many institutions looking to adopt a program within the next year.


Subject(s)
Anti-Bacterial Agents , Vancomycin , Humans , United States , Area Under Curve , Bayes Theorem , Anti-Bacterial Agents/therapeutic use , Drug Monitoring/methods , Hospitals
2.
Nanoscale ; 12(26): 13907-13911, 2020 Jul 14.
Article in English | MEDLINE | ID: mdl-32578652

ABSTRACT

The specific detection in clinical samples of analytes with dimensions in the tens to hundreds of nanometers, such as viruses and large proteins, would improve disease diagnosis. Detection of these "mesoscale" analytes (as opposed to their nanoscale components), however, is challenging as it requires the simultaneous binding of multiple recognition sites often spaced over tens of nanometers. In response, we have adapted DNA origami, with its unparalleled customizability to precisely display multiple target-binding sites over the relevant length scale, to an electrochemical biosensor platform. Our proof-of-concept employs triangular origami covalently attached to a gold electrode and functionalized with redox reporters. Electrochemical interrogation of this platform successfully monitors mesoscale, target-binding-induced changes in electron transfer in a manner consistent with coarse-grained molecular dynamics simulations. Our approach enables the specific detection of analytes displaying recognition sites that are separated by ∼40 nm, a spacing significantly greater than that achieved in similar sensor architectures employing either antibodies or aptamers.


Subject(s)
Biosensing Techniques , Electrochemical Techniques , DNA , Electrodes , Electrons , Gold
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