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888. A Predictive Model for Subtherapeutic Vancomycin Troughs in Adults
BACKGROUND: Vancomycin is a first line agent in the treatment of methicillin-resistant Staphylococcus aureus infections. The ability to predict sub-therapeutic troughs would limit potential for development of resistance. The purpose of this study was to develop a predictive model for sub-therapeutic...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9753001/ http://dx.doi.org/10.1093/ofid/ofac492.733 |
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author | Crisp, Sarah Shrestha, Nabin K Pallotta, Andrea Wu, Janet Ahrens, Christine Cerrato, Pooja |
author_facet | Crisp, Sarah Shrestha, Nabin K Pallotta, Andrea Wu, Janet Ahrens, Christine Cerrato, Pooja |
author_sort | Crisp, Sarah |
collection | PubMed |
description | BACKGROUND: Vancomycin is a first line agent in the treatment of methicillin-resistant Staphylococcus aureus infections. The ability to predict sub-therapeutic troughs would limit potential for development of resistance. The purpose of this study was to develop a predictive model for sub-therapeutic vancomycin troughs in adults. METHODS: This retrospective cohort study included adults 18 years and older ordered a pharmacy to dose vancomycin consult. Exclusion criteria included patients with cystic fibrosis, pregnancy, no steady-state trough, or required dialysis during therapy. Patients with sub-therapeutic vancomycin troughs (< 10 mg/L) were compared to patients with therapeutic troughs (10-20 mg/L). A K-nearest neighbors (KNN) regression model to predict an initial sub-therapeutic vancomycin level based on age, gender, race, BMI, loading dose, frequency, creatinine clearance, and institutional vancomycin dosing guideline adherence was developed and validated using 10-fold cross validation. The association of vancomycin dosing guideline adherence with initial sub-therapeutic vancomycin trough was evaluated in a multivariable logistic regression model adjusted for age and creatinine clearance. RESULTS: A total of 1,615 subjects were included; 494 (30.5%) subjects experienced a sub-therapeutic trough. A KNN regression model to predict an initial sub-therapeutic vancomycin level had an area under the ROC curve of 0.82, and an accuracy of 0.77 (95% CI 0.75-0.79, baseline accuracy 0.69). After adjusting for age and creatinine clearance, guideline dosing adherence was associated with significantly lower odds of an initial sub-therapeutic vancomycin level compared to guideline dosing non-adherence (OR 0.37, 95% CI 0.20-0.66, p-value 0.001). [Figure: see text] CONCLUSION: A predictive model, based on readily available data points, for an initial sub-therapeutic vancomycin level was reasonably accurate. Adherence to the institutional vancomycin dosing guideline was associated with greater than 60% lower odds of an initial sub-therapeutic vancomycin level. DISCLOSURES: All Authors: No reported disclosures. |
format | Online Article Text |
id | pubmed-9753001 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-97530012022-12-16 888. A Predictive Model for Subtherapeutic Vancomycin Troughs in Adults Crisp, Sarah Shrestha, Nabin K Pallotta, Andrea Wu, Janet Ahrens, Christine Cerrato, Pooja Open Forum Infect Dis Abstracts BACKGROUND: Vancomycin is a first line agent in the treatment of methicillin-resistant Staphylococcus aureus infections. The ability to predict sub-therapeutic troughs would limit potential for development of resistance. The purpose of this study was to develop a predictive model for sub-therapeutic vancomycin troughs in adults. METHODS: This retrospective cohort study included adults 18 years and older ordered a pharmacy to dose vancomycin consult. Exclusion criteria included patients with cystic fibrosis, pregnancy, no steady-state trough, or required dialysis during therapy. Patients with sub-therapeutic vancomycin troughs (< 10 mg/L) were compared to patients with therapeutic troughs (10-20 mg/L). A K-nearest neighbors (KNN) regression model to predict an initial sub-therapeutic vancomycin level based on age, gender, race, BMI, loading dose, frequency, creatinine clearance, and institutional vancomycin dosing guideline adherence was developed and validated using 10-fold cross validation. The association of vancomycin dosing guideline adherence with initial sub-therapeutic vancomycin trough was evaluated in a multivariable logistic regression model adjusted for age and creatinine clearance. RESULTS: A total of 1,615 subjects were included; 494 (30.5%) subjects experienced a sub-therapeutic trough. A KNN regression model to predict an initial sub-therapeutic vancomycin level had an area under the ROC curve of 0.82, and an accuracy of 0.77 (95% CI 0.75-0.79, baseline accuracy 0.69). After adjusting for age and creatinine clearance, guideline dosing adherence was associated with significantly lower odds of an initial sub-therapeutic vancomycin level compared to guideline dosing non-adherence (OR 0.37, 95% CI 0.20-0.66, p-value 0.001). [Figure: see text] CONCLUSION: A predictive model, based on readily available data points, for an initial sub-therapeutic vancomycin level was reasonably accurate. Adherence to the institutional vancomycin dosing guideline was associated with greater than 60% lower odds of an initial sub-therapeutic vancomycin level. DISCLOSURES: All Authors: No reported disclosures. Oxford University Press 2022-12-15 /pmc/articles/PMC9753001/ http://dx.doi.org/10.1093/ofid/ofac492.733 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Infectious Diseases Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Abstracts Crisp, Sarah Shrestha, Nabin K Pallotta, Andrea Wu, Janet Ahrens, Christine Cerrato, Pooja 888. A Predictive Model for Subtherapeutic Vancomycin Troughs in Adults |
title | 888. A Predictive Model for Subtherapeutic Vancomycin Troughs in Adults |
title_full | 888. A Predictive Model for Subtherapeutic Vancomycin Troughs in Adults |
title_fullStr | 888. A Predictive Model for Subtherapeutic Vancomycin Troughs in Adults |
title_full_unstemmed | 888. A Predictive Model for Subtherapeutic Vancomycin Troughs in Adults |
title_short | 888. A Predictive Model for Subtherapeutic Vancomycin Troughs in Adults |
title_sort | 888. a predictive model for subtherapeutic vancomycin troughs in adults |
topic | Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9753001/ http://dx.doi.org/10.1093/ofid/ofac492.733 |
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