Open AccessEvaluation of the ratio of the estimated area under the concentration-time curve to minimum inhibitory concentration (estimated AUIC) as a predictor of the outcome for tigecycline treatment for pneumonia due to multidrug-resistant bacteria in an intensive care unit
Author(s) -
Ying Xü,
Lü Jin,
Ning liu,
Xuemei Luo,
Danjiang Dong,
Jian Tang,
Yan Wang,
Yong You,
Yang Liu,
Ming Chen,
Zhuxi Yu,
Yingying Hao,
Qin Gu
Publication year - 2019
Publication title -
international journal of infectious diseases
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.278
H-Index - 89
eISSN - 1878-3511
pISSN - 1201-9712
DOI - 10.1016/j.ijid.2019.03.011
Subject(s) - cmin , minimum inhibitory concentration , medicine , tigecycline , pneumonia , cmax , intensive care unit , dosing , area under the curve , ventilator associated pneumonia , streptococcus pneumoniae , pharmacokinetics , pharmacodynamics , antibiotics , gastroenterology , microbiology and biotechnology , biology
Based on pharmacokinetics/pharmacodynamics (PK/PD) and the minimum inhibitory concentration (MIC) of tigecycline (TGC), dose increases have been advocated to maximize the efficacy against pneumonia that is suspected to be due to multidrug-resistant (MDR) bacteria in an intensive care unit. This practice-based study explored the relationship between the predicted PK parameter, the ratio of the area under the concentration-time curve to the 24 h of dosing/minimum inhibitory concentration (AUC 0-24 /MIC or AUIC), and the clinical and microbiological outcomes in critically ill patients with pneumonia due to MDR bacteria.
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