A Retrospective Within-Subjects Analysis of Vancomycin Bayesian Modeling With Pre-steady-State vs Steady-State Concentrations.

Background: Bayesian modeling of vancomycin can estimate 24-hour area under the curve (AUC24) using pre-steady-state concentrations. Limited literature exists comparing Bayesian AUC24 calculations derived from steady-state versus pre-steady-state concentrations. Objective: To assess the agreement be...

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Publicado en:Journal of Pharmacy Technology Vol. 41; no. 6; pp. 268 - 276
Autores principales: Covington, Elizabeth W., Chae, Jihyun L., Gunter, Sarah Grace
Formato: research tables/charts Journal Article
Publicado: Sage Publications Inc. Dec2025
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Dec2025
      vid: 41
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      pub: Sage Publications Inc.
      place: Thousand Oaks, California
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        atl: A Retrospective Within-Subjects Analysis of Vancomycin Bayesian Modeling With Pre-steady-State vs Steady-State Concentrations.
      aug:
        au:
          Covington, Elizabeth W.
          Chae, Jihyun L.
          Gunter, Sarah Grace
        affil: Harrison College of Pharmacy, Auburn University, Auburn, AL, USA
      sug:
        subj:
          Vancomycin Administration and Dosage
          Vancomycin Blood
          Probability
          Biological Availability
          Dosage Calculation
          Vancomycin Analysis
          Human
          Retrospective Design
          Record Review
          Male
          Female
          Middle Age
          Aged
          Aged, 80 and Over
          Prospective Studies
          Linear Regression
          Data Analysis Software
          Descriptive Statistics
          Drug Monitoring
          Vancomycin Pharmacokinetics
          Confidence Intervals
          Wilcoxon Signed Rank Test
          Post Hoc Analysis
          Chi Square Test
          Health Facilities
          Alabama
          Middle Aged: 45-64 years
          Aged: 65+ years
          Aged, 80 & over
          Male
          Female
      ab: Background: Bayesian modeling of vancomycin can estimate 24-hour area under the curve (AUC24) using pre-steady-state concentrations. Limited literature exists comparing Bayesian AUC24 calculations derived from steady-state versus pre-steady-state concentrations. Objective: To assess the agreement between vancomycin AUC24 calculations using pre-steady-state versus steady-state concentrations, employing Bayesian modeling. Methods: This retrospective within-subjects cohort study included patients with at least 1 pre-steady-state and 1 steady-state vancomycin concentration. Patients with age >100 years, weight <40 kg, height <60 inches, or renal dysfunction were excluded. The steady-state AUC24 from dosing software was documented with and without hiding steady-state levels from calculations. The primary outcome was agreement between AUC24 without levels hidden compared with AUC24 with steady-state levels hidden from analysis. Secondary outcomes included the agreement between AUC24 with pre-steady-state levels hidden and the percentage of patients with matching AUC24 categories. The AUC24 agreement was evaluated via Bland-Altman plot and bias via linear regression. Statistical tests were performed using SPSS statistics software (IBM Corp). Results: A total of 93 patients were included. The mean difference in AUC24 compared to AUC24 with steady-state levels hidden was 8.8 mg*h/L, and with pre-steady-state levels hidden, it was −3.7 mg*h/L. Linear regression analysis indicated a proportional bias when steady-state levels were hidden (β = 0.22; P = 0.038) but not when pre-steady-state levels were hidden. Category mismatch occurred more often when steady-state levels were hidden vs when pre-steady-state levels were hidden (26% vs 8%; P < 0.001). Conclusion and Relevance: The study demonstrated overall agreement between AUC24 compared to AUC24 with steady-state levels hidden. The mean differences in AUC24 estimates were small, no matter which level was hidden, although tighter limits of agreement were observed when steady-state levels were utilized in Bayesian calculations. Further research with larger sample sizes is necessary.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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