Comparison of MwPharm 3.30 and MwPharm ++ a Windows version of pharmacokinetic software for PK/PD monitoring of vancomycin: A priori modeling
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00843989%3A_____%2F22%3AE0110072" target="_blank" >RIV/00843989:_____/22:E0110072 - 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>
Alternativní jazyky
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 modeling
Popis výsledku v původním jazyce
Objective: To evaluate the possibility of population-based dose optimization with the aid of MwPharm modeling and to find the best model in the Windows version (WIN). Materials: 25 patients repeatedly examined for vancomycin (mean age 63 ± 14 years, body weight 88 ± 21 kg, median dose 1 g/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, root mean square error (RMSE), Pearson's coefficient of rank correlation (R). Data is presented as mean ± SD. Student's t-test was 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 the 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 modeling
Popis výsledku anglicky
Objective: To evaluate the possibility of population-based dose optimization with the aid of MwPharm modeling and to find the best model in the Windows version (WIN). Materials: 25 patients repeatedly examined for vancomycin (mean age 63 ± 14 years, body weight 88 ± 21 kg, median dose 1 g/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, root mean square error (RMSE), Pearson's coefficient of rank correlation (R). Data is presented as mean ± SD. Student's t-test was 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 the 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.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
30104 - Pharmacology and pharmacy
Návaznosti výsledku
Projekt
—
Návaznosti
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Ostatní
Rok uplatnění
2022
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
International journal of clinical pharmacology and therapeutics
ISSN
0946-1965
e-ISSN
0946-1965
Svazek periodika
60
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