Vancomycin area under the curves estimated with pharmacokinetic equations using trough‐only data
Autor: | Nathan Fewel |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Adult
Male Methicillin-Resistant Staphylococcus aureus Accuracy and precision Mean squared error Adolescent area under the curve Population vancomycin Microbial Sensitivity Tests Trough (economics) 030226 pharmacology & pharmacy Models Biological 03 medical and health sciences Young Adult 0302 clinical medicine Pharmacokinetics population pharmacokinetics Statistics Humans Pharmacology (medical) Trough Concentration 030212 general & internal medicine education Mathematics Aged Pharmacology Volume of distribution Aged 80 and over education.field_of_study Area under the curve Original Articles Middle Aged Staphylococcal Infections Anti-Bacterial Agents Area Under Curve Original Article website Female clinical calculator Drug Monitoring |
Zdroj: | Journal of Clinical Pharmacy and Therapeutics |
ISSN: | 1365-2710 0269-4727 |
Popis: | What is known and objective The revised vancomycin monitoring guidelines recommend targeting an area under the curve (AUC) of 400–600 mg*hr/L for serious methicillin‐resistant Staphylococcus aureus (MRSA) infections. An AUC can be measured by checking a peak and trough concentration at steady state; however, this requires obtaining an additional blood sample. The most practical way to perform AUC‐guided dosing is by estimating an AUC from a steady‐state trough. The purpose of this study was to compare AUCs estimated from trough‐only data to AUCs calculated from peak and trough concentrations. Methods Steady‐state peak and trough data were collected from an open‐access clinical calculator VancoPK.com. Patients were included who had (1) peaks drawn ≥60 min after the end of infusion, (2) peak and trough levels drawn ≥4 h apart and (3) troughs drawn ≤4 h early or late. The population was randomized and divided into a model group and test group. A population equation for vancomycin volume of distribution (Vd) was derived and compared to other general adult Vd models. Accuracy and precision of estimated AUCs were measured with bias, root mean square error (RMSE) and Lin's concordance correlation. Results and discussion A total of 2,500 adult patients were included in the model group and 1,843 were included in the test group. The derived Vd equation, Vd (L) = 0.29(age) +0.33(total BW in kg) +11, produced accurate and precise AUC estimates from trough‐only data. The mean actual AUC and estimated AUC were 504 and 503, respectively, with a correlation of 0.926. The RMSE between estimated and actual AUCs was 47.7, meaning that over 95% of estimated AUCs were within 100 points of actual AUCs with the study's Vd model. Other Vd models performed well for certain types of patients, depending on their body weight and age. What is new and conclusion There is limited evidence from large, robust populations regarding how to estimate Vd for general adult patients. Accuracy and precision of estimated AUCs depend on the applied population Vd model. The Vd model from the present study can be used for AUC‐guided dosing with trough‐only data which requires less blood work than peak‐trough monitoring. AUC calculations are practical with the use of open‐access websites. Vancomycin area under the curves (AUCs) measured from peak and trough concentrations were compared to AUCs estimated from trough‐only data. A population model for vancomycin volume of distribution derived in the present study produced accurate and precise AUC estimates for general adult patients. AUC‐guided dosing with trough‐only data requires less blood work than peak‐trough monitoring and the calculations are practical with open‐access clinical calculators. |
Databáze: | OpenAIRE |
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