888. A Predictive Model for Subtherapeutic Vancomycin Troughs in Adults. (15th December 2022)
- Record Type:
- Journal Article
- Title:
- 888. A Predictive Model for Subtherapeutic Vancomycin Troughs in Adults. (15th December 2022)
- Main Title:
- 888. A Predictive Model for Subtherapeutic Vancomycin Troughs in Adults
- Authors:
- Crisp, Sarah
Shrestha, Nabin K
Pallotta, Andrea
Wu, Janet
Ahrens, Christine
Cerrato, Pooja - Abstract:
- Abstract: 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,Abstract: 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). 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. … (more)
- Is Part Of:
- Open forum infectious diseases. Volume 9:(2022)Supplement 2
- Journal:
- Open forum infectious diseases
- Issue:
- Volume 9:(2022)Supplement 2
- Issue Display:
- Volume 9, Issue 2 (2022)
- Year:
- 2022
- Volume:
- 9
- Issue:
- 2
- Issue Sort Value:
- 2022-0009-0002-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-12-15
- Subjects:
- Communicable diseases -- Periodicals
Medical microbiology -- Periodicals
Infection -- Periodicals
616.9 - Journal URLs:
- http://ofid.oxfordjournals.org/ ↗
http://www.oxfordjournals.org/en/ ↗ - DOI:
- 10.1093/ofid/ofac492.733 ↗
- Languages:
- English
- ISSNs:
- 2328-8957
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 25183.xml