Comparison of pharmacokinetics software for therapeutic drug monitoring of piperacillin in patients with severe infections

医学 哌拉西林 治疗药物监测 药代动力学 重症监护医学 药品 药理学 内科学 遗传学 生物 细菌 铜绿假单胞菌
作者
Ana Socorro Rodríguez‐Báez,María Jiménez-Meseguer,Rosa del Carmen Milán‐Segovia,Silvia Romano‐Moreno,Emilia Barcia,Arturo Ortiz-Álvarez,Benito García-Díaz,Susanna Edith Medellín‐Garibay
出处
期刊:European Journal of Hospital Pharmacy [BMJ]
卷期号:31 (3): 201-206 被引量:2
标识
DOI:10.1136/ejhpharm-2022-003367
摘要

Objective

To evaluate the predictive performance of population pharmacokinetic models for piperacillin (PIP) available in the software MwPharm, TDMx and ID-ODs for initial dosing selection and therapeutic drug monitoring (TDM) purposes.

Methods

This is a prospective observational study in adult patients with severe infections receiving PIP treatment. Plasma concentrations were quantified by ultra-high performance liquid chromatography coupled to tandem mass spectrometry. The differences between predicted and observed PIP concentrations were evaluated with Bland-Altman plots; additionally, the relative and absolute bias and precision of the models were determined.

Results

A total of 145 PIP plasma concentrations from 42 patients were analysed. For population prediction, MwPharm showed the best predictive performance with a mean relative difference of 34.68% (95% CI −197% to 266%) and a root mean square error (RMSE) of 60.42 µg/mL; meanwhile TDMx and ID-ODs under-predicted PIP concentrations. For individual prediction, the TDMx model was found to be the most precise with a mean relative difference of 7.61% (95% CI −57.63 to 72.86%), and RMSE of 17.86 µg/mL.

Conclusion

Current software for TDM is a valuable tool, but it may also include different population pharmacokinetic models in patients with severe infections, and should be evaluated before performing a model-based TDM in clinical practice. Considering the heterogeneous characteristics of patients with severe infections, this study demonstrates the need for therapy personalisation for PIP to improve pharmacokinetic/pharmacodynamic target attainment.
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