TY - JOUR
T1 - Optimal tigecycline dosage regimen is urgently needed
T2 - Results from a pharmacokinetic/pharmacodynamic analysis of tigecycline by Monte Carlo simulation
AU - Xie, Jiao
AU - Wang, Taotao
AU - Sun, Jinyao
AU - Chen, Siying
AU - Cai, Jiangxia
AU - Zhang, Weipeng
AU - Dong, Haiyan
AU - Hu, Sasa
AU - Zhang, Di
AU - Wang, Xue
AU - Dong, Yalin
PY - 2014/1
Y1 - 2014/1
N2 - Background: The number of reported cases of resistance to tigecycline is increasing. The aim of this study was to evaluate the current standard tigecycline dosage regimen from a pharmacokinetic/pharmacodynamic (PK/PD) perspective. Methods: Pharmacokinetic parameters and microbiological data were analyzed by Monte Carlo simulation in an evaluation of effectiveness. Results: Tigecycline exhibits excellent in vitro antimicrobial activity, however the standard tigecycline dosing regimen fails to achieve the best outcome in vivo for the common drug-resistant strains, including Acinetobacter baumannii, Enterobacter spp, and Klebsiella pneumoniae. This may result in a lack of response to tigecycline therapy or to a further increase in the resistance rate. Conclusions: In the absence of new drugs on the horizon, rather than using a single fixed dosing regimen, tigecycline dosing needs to be optimized in order to achieve the desired successful clinical response and to prevent an escalation in drug resistance.
AB - Background: The number of reported cases of resistance to tigecycline is increasing. The aim of this study was to evaluate the current standard tigecycline dosage regimen from a pharmacokinetic/pharmacodynamic (PK/PD) perspective. Methods: Pharmacokinetic parameters and microbiological data were analyzed by Monte Carlo simulation in an evaluation of effectiveness. Results: Tigecycline exhibits excellent in vitro antimicrobial activity, however the standard tigecycline dosing regimen fails to achieve the best outcome in vivo for the common drug-resistant strains, including Acinetobacter baumannii, Enterobacter spp, and Klebsiella pneumoniae. This may result in a lack of response to tigecycline therapy or to a further increase in the resistance rate. Conclusions: In the absence of new drugs on the horizon, rather than using a single fixed dosing regimen, tigecycline dosing needs to be optimized in order to achieve the desired successful clinical response and to prevent an escalation in drug resistance.
KW - Monte Carlo simulation
KW - Optimal dosage regimen
KW - Pharmacokinetic/pharmacodynamic analysis
KW - Tigecycline
UR - https://www.scopus.com/pages/publications/84891560670
U2 - 10.1016/j.ijid.2013.09.008
DO - 10.1016/j.ijid.2013.09.008
M3 - 文章
C2 - 24246741
AN - SCOPUS:84891560670
SN - 1201-9712
VL - 18
SP - 62
EP - 67
JO - International Journal of Infectious Diseases
JF - International Journal of Infectious Diseases
IS - 1
ER -