Population pharmacokinetics of tigecycline in critically ill patients

Objective: In critically ill patients, the change of pathophysiological status may affect the pharmacokinetic (PK) process of drugs. The purpose of this study was to develop a PK model for tigecycline in critically ill patients, identify the factors influencing the PK and optimiz dosing regimens.Met...

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Main Authors: Xiangru Luo, Shiyi Wang, Dong Li, Jun Wen, Na Sun, Guangjun Fan
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-03-01
Series:Frontiers in Pharmacology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fphar.2023.1083464/full
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author Xiangru Luo
Shiyi Wang
Dong Li
Jun Wen
Na Sun
Guangjun Fan
author_facet Xiangru Luo
Shiyi Wang
Dong Li
Jun Wen
Na Sun
Guangjun Fan
author_sort Xiangru Luo
collection DOAJ
description Objective: In critically ill patients, the change of pathophysiological status may affect the pharmacokinetic (PK) process of drugs. The purpose of this study was to develop a PK model for tigecycline in critically ill patients, identify the factors influencing the PK and optimiz dosing regimens.Method: The concentration of tigecycline was measured LC-MS/MS. We established population PK model with the non-linear mixed effect model and optimized the dosing regimens by Monte Carlo simulation.Result: A total of 143 blood samples from 54 patients were adequately described by a one-compartment linear model with first-order elimination. In the covariate screening analysis, the APACHEII score and age as significant covariates. The population-typical values of CL and Vd in the final model were 11.30 ± 3.54 L/h and 105.00 ± 4.47 L, respectively. The PTA value of the standard dose regimen (100 mg loading dose followed by a 50 mg maintenance dose at q12 h) was 40.96% with an MIC of 2 mg/L in patients with HAP, the ideal effect can be achieved by increasing the dosage. No dose adjustment was needed for Klebsiella pneumoniae for AUC0–24/MIC targets of 4.5 and 6.96, and the three dose regimens almost all reached 90%. A target AUC0–24/MIC of ≥17.9 reached 100% in patients with cSSSI in the three tigecycline dose regimens, considering MIC ≤ 0.25 mg/L.Conclusion: The final model indicated that APACHEII score and age could affect the Cl and Vd of tigecycline, respectively. The standard dose regimen of tigecycline was often not able to obtain satisfactory therapeutic effects for critically ill patients. For patients with HAP and cIAI caused by one of three pathogens, the efficacy rate can be improved by increasing the dose, but for cSSSI infections caused by Acinetobacter baumannii and K. pneumoniae, it is recommended to change the drug or use a combination of drugs.
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spelling doaj.art-16f2b8989d42480d96bc58afba5781322023-03-13T04:22:55ZengFrontiers Media S.A.Frontiers in Pharmacology1663-98122023-03-011410.3389/fphar.2023.10834641083464Population pharmacokinetics of tigecycline in critically ill patientsXiangru LuoShiyi WangDong LiJun WenNa SunGuangjun FanObjective: In critically ill patients, the change of pathophysiological status may affect the pharmacokinetic (PK) process of drugs. The purpose of this study was to develop a PK model for tigecycline in critically ill patients, identify the factors influencing the PK and optimiz dosing regimens.Method: The concentration of tigecycline was measured LC-MS/MS. We established population PK model with the non-linear mixed effect model and optimized the dosing regimens by Monte Carlo simulation.Result: A total of 143 blood samples from 54 patients were adequately described by a one-compartment linear model with first-order elimination. In the covariate screening analysis, the APACHEII score and age as significant covariates. The population-typical values of CL and Vd in the final model were 11.30 ± 3.54 L/h and 105.00 ± 4.47 L, respectively. The PTA value of the standard dose regimen (100 mg loading dose followed by a 50 mg maintenance dose at q12 h) was 40.96% with an MIC of 2 mg/L in patients with HAP, the ideal effect can be achieved by increasing the dosage. No dose adjustment was needed for Klebsiella pneumoniae for AUC0–24/MIC targets of 4.5 and 6.96, and the three dose regimens almost all reached 90%. A target AUC0–24/MIC of ≥17.9 reached 100% in patients with cSSSI in the three tigecycline dose regimens, considering MIC ≤ 0.25 mg/L.Conclusion: The final model indicated that APACHEII score and age could affect the Cl and Vd of tigecycline, respectively. The standard dose regimen of tigecycline was often not able to obtain satisfactory therapeutic effects for critically ill patients. For patients with HAP and cIAI caused by one of three pathogens, the efficacy rate can be improved by increasing the dose, but for cSSSI infections caused by Acinetobacter baumannii and K. pneumoniae, it is recommended to change the drug or use a combination of drugs.https://www.frontiersin.org/articles/10.3389/fphar.2023.1083464/fullcritically ill patientspopulation pharmacokineticstigecyclineMonte Carlo simulationdosage regimen
spellingShingle Xiangru Luo
Shiyi Wang
Dong Li
Jun Wen
Na Sun
Guangjun Fan
Population pharmacokinetics of tigecycline in critically ill patients
Frontiers in Pharmacology
critically ill patients
population pharmacokinetics
tigecycline
Monte Carlo simulation
dosage regimen
title Population pharmacokinetics of tigecycline in critically ill patients
title_full Population pharmacokinetics of tigecycline in critically ill patients
title_fullStr Population pharmacokinetics of tigecycline in critically ill patients
title_full_unstemmed Population pharmacokinetics of tigecycline in critically ill patients
title_short Population pharmacokinetics of tigecycline in critically ill patients
title_sort population pharmacokinetics of tigecycline in critically ill patients
topic critically ill patients
population pharmacokinetics
tigecycline
Monte Carlo simulation
dosage regimen
url https://www.frontiersin.org/articles/10.3389/fphar.2023.1083464/full
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