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Vancomycin Safety Monitoring Using an Electronic Health Record Database

BACKGROUND: Measures of antimicrobial safety are important for antimicrobial stewardship programs (ASP) and health-system quality. Vancomycin (VAN) is a frequently used antibiotic in the inpatient setting, and its most common serious adverse effect, acute kidney injury (AKI), can be identified relia...

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Autores principales: Veve, Michael P, Kenney, Rachel M, Jordan, Jack, Smoot, Tom, Martinez, Marilen, Kendall, Ronald, Hyder, Ayesha, Davis, Susan L
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5630811/
http://dx.doi.org/10.1093/ofid/ofx163.1253
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author Veve, Michael P
Kenney, Rachel M
Jordan, Jack
Smoot, Tom
Martinez, Marilen
Kendall, Ronald
Hyder, Ayesha
Davis, Susan L
author_facet Veve, Michael P
Kenney, Rachel M
Jordan, Jack
Smoot, Tom
Martinez, Marilen
Kendall, Ronald
Hyder, Ayesha
Davis, Susan L
author_sort Veve, Michael P
collection PubMed
description BACKGROUND: Measures of antimicrobial safety are important for antimicrobial stewardship programs (ASP) and health-system quality. Vancomycin (VAN) is a frequently used antibiotic in the inpatient setting, and its most common serious adverse effect, acute kidney injury (AKI), can be identified reliably from laboratory data within the electronic health record (EHR). Our ASP reviews monthly AKI in VAN-treated patients, excluding prior kidney disease, as a metric for harm. EHR-derived rates of AKI were selected as a metric for health system quality and safety reporting. METHODS: IRB-exempt cross-sectional study using aggregate data in a 4-hospital health system. We used interrupted time series methods to compare AKI before and after implementation of a simplified vancomycin dosing strategy: pre- 11/15 to 4/16, post- 5/16 to 4/17. Primary endpoint: number of patients per month with AKI, defined as an increase in serum creatinine of at least 0.5 mg/dL or 50% of baseline. Denominator: number of vancomycin days of therapy (DOT) per 1000-patient-days. Rate of AKI in the total hospitalized population was used for context. RESULTS: There were 10453 orders for vancomycin across the study period (3634 pre, 6819 post). The average rate of AKI in patients receiving vancomycin was 10.6% pre, 8.9% post, while AKI rate in the total hospitalized population was 7.26% across the study period. After implementation of simplified VAN dosing policy, AKI per VAN DOT/1000 patient-days decreased from 0.46 to 0.40 (Figure 1). The median (IQR) vancomycin levels were: 16.7 μg/mL (16.2–17.1) pre, 15.8 (15.3–16.6) post. CONCLUSION: EHR-based measures of antibiotic-related harm are promising tool for ASPs to measure impact patient outcomes. We observed reduced AKI in VAN treated patients, improving safety with a simplified VAN dosing strategy. DISCLOSURES: S. L. Davis, Allergan: Grant Investigator and Scientific Advisor, Consulting fee and Research grant; Merck: Grant Investigator and Scientific Advisor, Consulting fee and Research grant
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spelling pubmed-56308112017-11-07 Vancomycin Safety Monitoring Using an Electronic Health Record Database Veve, Michael P Kenney, Rachel M Jordan, Jack Smoot, Tom Martinez, Marilen Kendall, Ronald Hyder, Ayesha Davis, Susan L Open Forum Infect Dis Abstracts BACKGROUND: Measures of antimicrobial safety are important for antimicrobial stewardship programs (ASP) and health-system quality. Vancomycin (VAN) is a frequently used antibiotic in the inpatient setting, and its most common serious adverse effect, acute kidney injury (AKI), can be identified reliably from laboratory data within the electronic health record (EHR). Our ASP reviews monthly AKI in VAN-treated patients, excluding prior kidney disease, as a metric for harm. EHR-derived rates of AKI were selected as a metric for health system quality and safety reporting. METHODS: IRB-exempt cross-sectional study using aggregate data in a 4-hospital health system. We used interrupted time series methods to compare AKI before and after implementation of a simplified vancomycin dosing strategy: pre- 11/15 to 4/16, post- 5/16 to 4/17. Primary endpoint: number of patients per month with AKI, defined as an increase in serum creatinine of at least 0.5 mg/dL or 50% of baseline. Denominator: number of vancomycin days of therapy (DOT) per 1000-patient-days. Rate of AKI in the total hospitalized population was used for context. RESULTS: There were 10453 orders for vancomycin across the study period (3634 pre, 6819 post). The average rate of AKI in patients receiving vancomycin was 10.6% pre, 8.9% post, while AKI rate in the total hospitalized population was 7.26% across the study period. After implementation of simplified VAN dosing policy, AKI per VAN DOT/1000 patient-days decreased from 0.46 to 0.40 (Figure 1). The median (IQR) vancomycin levels were: 16.7 μg/mL (16.2–17.1) pre, 15.8 (15.3–16.6) post. CONCLUSION: EHR-based measures of antibiotic-related harm are promising tool for ASPs to measure impact patient outcomes. We observed reduced AKI in VAN treated patients, improving safety with a simplified VAN dosing strategy. DISCLOSURES: S. L. Davis, Allergan: Grant Investigator and Scientific Advisor, Consulting fee and Research grant; Merck: Grant Investigator and Scientific Advisor, Consulting fee and Research grant Oxford University Press 2017-10-04 /pmc/articles/PMC5630811/ http://dx.doi.org/10.1093/ofid/ofx163.1253 Text en © The Author 2017. Published by Oxford University Press on behalf of Infectious Diseases Society of America. http://creativecommons.org/licenses/by-nc-nd/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Abstracts
Veve, Michael P
Kenney, Rachel M
Jordan, Jack
Smoot, Tom
Martinez, Marilen
Kendall, Ronald
Hyder, Ayesha
Davis, Susan L
Vancomycin Safety Monitoring Using an Electronic Health Record Database
title Vancomycin Safety Monitoring Using an Electronic Health Record Database
title_full Vancomycin Safety Monitoring Using an Electronic Health Record Database
title_fullStr Vancomycin Safety Monitoring Using an Electronic Health Record Database
title_full_unstemmed Vancomycin Safety Monitoring Using an Electronic Health Record Database
title_short Vancomycin Safety Monitoring Using an Electronic Health Record Database
title_sort vancomycin safety monitoring using an electronic health record database
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5630811/
http://dx.doi.org/10.1093/ofid/ofx163.1253
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