Nathan Peterson Pharm.D., Evan Hurley Pharm.D., Kelli Cunningham Pharm.D., Luke Malik Pharm.D., Lisa Lambi Pharm.D., Kristina White Pharm.D., Amanda Bushman Pharm.D., Julia Fifield Pharm.D., Corey Thieman Pharm.D., Emily Muehling Pharm.D.
{"title":"Creation of a novel vancomycin dosing protocol in the electronic medical record and the use of analytics to show improved patient safety","authors":"Nathan Peterson Pharm.D., Evan Hurley Pharm.D., Kelli Cunningham Pharm.D., Luke Malik Pharm.D., Lisa Lambi Pharm.D., Kristina White Pharm.D., Amanda Bushman Pharm.D., Julia Fifield Pharm.D., Corey Thieman Pharm.D., Emily Muehling Pharm.D.","doi":"10.1002/jac5.2023","DOIUrl":null,"url":null,"abstract":"<p>Vancomycin dosing guidelines recommend using first-order analytic calculations or Bayesian software along with two drug concentrations at steady state to confirm an area under the serum concentration versus time curve (AUC24), which is safe and efficacious for the treatment of serious methicillin-resistant <i>Staphylococcus aureus</i> (MRSA) infections. Evidence supporting optimal vancomycin dosing for empiric or nonserious MRSA infections is sparse. A systemwide vancomycin dosing protocol applying the latest guidelines and a novel dosing strategy to estimate AUC was created by a large, multicenter healthcare organization. A dosing calculator was embedded in the electronic medical record, and an analytics tool was created to monitor the incidence and predictors of vancomycin-associated acute kidney injury (VA-AKI). The incidence of VA-AKI was tracked over time and between hospitals to identify opportunities to reduce variation. This article describes the implementation of the vancomycin protocol and the use of informatics to ensure patient safety.</p>","PeriodicalId":73966,"journal":{"name":"Journal of the American College of Clinical Pharmacy : JACCP","volume":null,"pages":null},"PeriodicalIF":1.3000,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the American College of Clinical Pharmacy : JACCP","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/jac5.2023","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
引用次数: 0
Abstract
Vancomycin dosing guidelines recommend using first-order analytic calculations or Bayesian software along with two drug concentrations at steady state to confirm an area under the serum concentration versus time curve (AUC24), which is safe and efficacious for the treatment of serious methicillin-resistant Staphylococcus aureus (MRSA) infections. Evidence supporting optimal vancomycin dosing for empiric or nonserious MRSA infections is sparse. A systemwide vancomycin dosing protocol applying the latest guidelines and a novel dosing strategy to estimate AUC was created by a large, multicenter healthcare organization. A dosing calculator was embedded in the electronic medical record, and an analytics tool was created to monitor the incidence and predictors of vancomycin-associated acute kidney injury (VA-AKI). The incidence of VA-AKI was tracked over time and between hospitals to identify opportunities to reduce variation. This article describes the implementation of the vancomycin protocol and the use of informatics to ensure patient safety.