All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Therapeutic drug monitoring of antibiotic agents: evaluation of predictive performance

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00064165%3A_____%2F19%3A10399834" target="_blank" >RIV/00064165:_____/19:10399834 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11110/19:10399834

  • Result on the web

    <a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=ms3~k1GCBU" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=ms3~k1GCBU</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1136/ejhpharm-2017-001396" target="_blank" >10.1136/ejhpharm-2017-001396</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Therapeutic drug monitoring of antibiotic agents: evaluation of predictive performance

  • Original language description

    Background: The precision of the population pharmacokinetic model used in therapeutic drug monitoring (TDM) is essential for successful dosage optimisation. Objective: To evaluate the predictive performance of pharmacokinetic models used in our hospital and to evaluate the possible impact of demographic characteristics or renal function on TDM accuracy. Methods: We compared a posteriori an adjusted concentration-time curve profile based on the first measured drug concentration with the second measured drug concentration. Linear regression models were used to compare predicted and observed drug serum concentrations, and to evaluate potential relationships between predictive performance and patients&apos; demographic/clinical features. Predictive performance of TDM was expressed using accuracy, precision, sensitivity and specificity. Results: One hundred and fifty-two patients were enrolled in the study. All pharmacokinetic models showed good predictive performance expressed by the coefficient of determination (r2) of 0.5642, 0.7263, 0.9001 and 0.9454 for continuous vancomycin, intermittent vancomycin, amikacin and gentamicin, respectively. Accuracy was 93.3%, 91.2%, 113.9% and 130.9% for continuous vancomycin, intermittent vancomycin, amikacin and gentamicin, respectively. Demographic characteristics or renal functions had no substantial impact on the accuracy of TDM. Conclusion: We found the predictive performance of both aminoglycosides and vancomycin pharmacokinetic models to be satisfactory.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    30104 - Pharmacology and pharmacy

Result continuities

  • Project

  • Continuities

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    European Journal of Hospital Pharmacy: Science and Practice

  • ISSN

    2047-9956

  • e-ISSN

  • Volume of the periodical

    26

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    4

  • Pages from-to

    85-88

  • UT code for WoS article

    000471820200006

  • EID of the result in the Scopus database

    2-s2.0-85049071754