Comparison of MwPharm 3.30 and MwPharm ++ a Windows version of pharmacokinetic software for PK/PD monitoring of vancomycin: a-priori modelling

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17110%2F22%3AA2302CXE" target="_blank" >RIV/61988987:17110/22:A2302CXE - isvavai.cz</a>

Výsledek na webu

<a href="https://www.dustri.com/article_response_page.html?artId=189417&doi=10.5414/CP204151&L=0" target="_blank" >https://www.dustri.com/article_response_page.html?artId=189417&doi=10.5414/CP204151&L=0</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5414/CP204151" target="_blank" >10.5414/CP204151</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Comparison of MwPharm 3.30 and MwPharm ++ a Windows version of pharmacokinetic software for PK/PD monitoring of vancomycin: a-priori modelling

Popis výsledku v původním jazyce

Objective: To evaluate the possibility of population based dose optimisation with the aid of MWPharm modelling and to find the best model in the Windows version (WIN). Matherials: 25 patients repeatedly examined for vancomycin (mean age 63±14 years, body weight 88±21kg, median dose 1g/12 h). Methods: Trough concentrations predicted by WIN models “vancomycin_adult_k_C2“, ”#vancomycin_adult_C2“, ”vancomycin_adult_C2“, and ”vancomycin adult“ DOS model (DOS) were compared with the measured value. Statistics: The percentage prediction error (%PE) calculated as (predicted–measured)/measured values, Blandt-Altman plot, RMSE, Pearson’s coefficient of rank correlation (R). Data presented as mean ± SD. Student’s t-test were used for prediction precision evaluation. Results: The %PE varied from +44.4 ± 65.2% to +76.5 ± 84.3 %, P<0.001. ”#vancomycin_adult_C2“ model produced lowest %PE among WIN models as well as the lowest RMSE (79) and Blandt-Altman bias (-4.01 ± 7.59), but the Pearson’s correlation (0.6843, P=0.0002) was less tight. DOS model produced the second lowest RMSE (81), %PE (+45.9 ± 66.6%), and Blandt-Altman bias (-4.83 ± 6.97) and highest Pearson’s R (0.7847, P<0.0001). ”vancomycin_adult_C2“ produced the third best prediction: RMSE (113), %PE (62.8 ± 92.6%), Blandt-Altman bias (-6.78 ± 11.2) but Pearson’s R was the poorest (0.5773, P=0.0025). Conclusion: The lowest %PE and highest Pearson’s R were achieved by the ”#vancomycin_adult_C2“ model. Due to the poor predictive performance of all MWPharm versions and models we find all of them unsuitable for a-priori vancomycin dosing management. Other software should be evaluated for routine use.

Název v anglickém jazyce

Comparison of MwPharm 3.30 and MwPharm ++ a Windows version of pharmacokinetic software for PK/PD monitoring of vancomycin: a-priori modelling

Popis výsledku anglicky

Objective: To evaluate the possibility of population based dose optimisation with the aid of MWPharm modelling and to find the best model in the Windows version (WIN). Matherials: 25 patients repeatedly examined for vancomycin (mean age 63±14 years, body weight 88±21kg, median dose 1g/12 h). Methods: Trough concentrations predicted by WIN models “vancomycin_adult_k_C2“, ”#vancomycin_adult_C2“, ”vancomycin_adult_C2“, and ”vancomycin adult“ DOS model (DOS) were compared with the measured value. Statistics: The percentage prediction error (%PE) calculated as (predicted–measured)/measured values, Blandt-Altman plot, RMSE, Pearson’s coefficient of rank correlation (R). Data presented as mean ± SD. Student’s t-test were used for prediction precision evaluation. Results: The %PE varied from +44.4 ± 65.2% to +76.5 ± 84.3 %, P<0.001. ”#vancomycin_adult_C2“ model produced lowest %PE among WIN models as well as the lowest RMSE (79) and Blandt-Altman bias (-4.01 ± 7.59), but the Pearson’s correlation (0.6843, P=0.0002) was less tight. DOS model produced the second lowest RMSE (81), %PE (+45.9 ± 66.6%), and Blandt-Altman bias (-4.83 ± 6.97) and highest Pearson’s R (0.7847, P<0.0001). ”vancomycin_adult_C2“ produced the third best prediction: RMSE (113), %PE (62.8 ± 92.6%), Blandt-Altman bias (-6.78 ± 11.2) but Pearson’s R was the poorest (0.5773, P=0.0025). Conclusion: The lowest %PE and highest Pearson’s R were achieved by the ”#vancomycin_adult_C2“ model. Due to the poor predictive performance of all MWPharm versions and models we find all of them unsuitable for a-priori vancomycin dosing management. Other software should be evaluated for routine use.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

30104 - Pharmacology and pharmacy

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název periodika

International Journal of Clinical Pharmacology and Therapeutics

ISSN

0946-1965

e-ISSN

—

Svazek periodika

—

Číslo periodika v rámci svazku

7

Stát vydavatele periodika

DE - Spolková republika Německo

Počet stran výsledku

7

Strana od-do

299-305

Kód UT WoS článku

000817739500002

EID výsledku v databázi Scopus

2-s2.0-85133102646