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Towards model-informed precision dosing of piperacillin: multicenter systematic external evaluation of pharmacokinetic models in critically ill adults with a focus on Bayesian forecasting

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Manage episode 400867633 series 3003442
Content provided by ESICM. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by ESICM or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Numerous Population Pharmacokinetic (PopPK) models have been developed for Piperacillin (PIP), most of which are based on small monocentric studies and may not be generalizable to other populations. A recent evaluation of six PIP models in 30 ICU patients receiving CI demonstrated large inter-model variability regarding predictability. The transferability of these results to other populations is uncertain due to the limited number of patients and the monocentric setting. Furthermore, a clinically oriented model assessment in conjunction with TDM (Bayesian forecasting) was lacking.

A recent study aimed to evaluate the predictive performance of available PIP PopPK models with and without TDM using an external multicenter dataset to facilitate model selection for MIPD in critically ill patients. Listen to the podcast and learn more about the methodology and findings of this study.

  continue reading

74 episodes

Artwork
iconShare
 
Manage episode 400867633 series 3003442
Content provided by ESICM. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by ESICM or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Numerous Population Pharmacokinetic (PopPK) models have been developed for Piperacillin (PIP), most of which are based on small monocentric studies and may not be generalizable to other populations. A recent evaluation of six PIP models in 30 ICU patients receiving CI demonstrated large inter-model variability regarding predictability. The transferability of these results to other populations is uncertain due to the limited number of patients and the monocentric setting. Furthermore, a clinically oriented model assessment in conjunction with TDM (Bayesian forecasting) was lacking.

A recent study aimed to evaluate the predictive performance of available PIP PopPK models with and without TDM using an external multicenter dataset to facilitate model selection for MIPD in critically ill patients. Listen to the podcast and learn more about the methodology and findings of this study.

  continue reading

74 episodes

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