Evaluation of the MeroRisk Calculator, A User-Friendly Tool to Predict the Risk of Meropenem Target Non-Attainment in Critically Ill Patients

Background: The MeroRisk-calculator, an easy-to-use tool to determine the risk of meropenem target non-attainment after standard dosing (1000 mg; q8h), uses a patient's creatinine clearance and the minimum inhibitory concentration (MIC) of the pathogen. In clinical practice, however, the MIC is...

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Main Authors: Uwe Liebchen (Author), Marian Klose (Author), Michael Paal (Author), Michael Vogeser (Author), Michael Zoller (Author), Ines Schroeder (Author), Lisa Schmitt (Author), Wilhelm Huisinga (Author), Robin Michelet (Author), Johannes Zander (Author), Christina Scharf (Author), Ferdinand A. Weinelt (Author), Charlotte Kloft (Author)
Format: Book
Published: MDPI AG, 2021-04-01T00:00:00Z.
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042 |a dc 
100 1 0 |a Uwe Liebchen  |e author 
700 1 0 |a Marian Klose  |e author 
700 1 0 |a Michael Paal  |e author 
700 1 0 |a Michael Vogeser  |e author 
700 1 0 |a Michael Zoller  |e author 
700 1 0 |a Ines Schroeder  |e author 
700 1 0 |a Lisa Schmitt  |e author 
700 1 0 |a Wilhelm Huisinga  |e author 
700 1 0 |a Robin Michelet  |e author 
700 1 0 |a Johannes Zander  |e author 
700 1 0 |a Christina Scharf  |e author 
700 1 0 |a Ferdinand A. Weinelt  |e author 
700 1 0 |a Charlotte Kloft  |e author 
245 0 0 |a Evaluation of the MeroRisk Calculator, A User-Friendly Tool to Predict the Risk of Meropenem Target Non-Attainment in Critically Ill Patients 
260 |b MDPI AG,   |c 2021-04-01T00:00:00Z. 
500 |a 10.3390/antibiotics10040468 
500 |a 2079-6382 
520 |a Background: The MeroRisk-calculator, an easy-to-use tool to determine the risk of meropenem target non-attainment after standard dosing (1000 mg; q8h), uses a patient's creatinine clearance and the minimum inhibitory concentration (MIC) of the pathogen. In clinical practice, however, the MIC is rarely available. The objectives were to evaluate the MeroRisk-calculator and to extend risk assessment by including general pathogen sensitivity data. Methods: Using a clinical routine dataset (155 patients, 891 samples), a direct data-based evaluation was not feasible. Thus, in step 1, the performance of a pharmacokinetic model was determined for predicting the measured concentrations. In step 2, the PK model was used for a model-based evaluation of the MeroRisk-calculator: risk of target non-attainment was calculated using the PK model and agreement with the MeroRisk-calculator was determined by a visual and statistical (Lin's concordance correlation coefficient (CCC)) analysis for MIC values 0.125-16 mg/L. The MeroRisk-calculator was extended to include risk assessment based on EUCAST-MIC distributions and cumulative-fraction-of-response analysis. Results: Step 1 showed a negligible bias of the PK model to underpredict concentrations (−0.84 mg/L). Step 2 revealed a high level of agreement between risk of target non-attainment predictions for creatinine clearances >50 mL/min (CCC = 0.990), but considerable deviations for patients <50 mL/min. For 27% of EUCAST-listed pathogens the median cumulative-fraction-of-response for the observed patients receiving standard dosing was < 90%. Conclusions: The MeroRisk-calculator was successfully evaluated: For patients with maintained renal function it allows a reliable and user-friendly risk assessment. The integration of pathogen-based risk assessment substantially increases the applicability of the tool. 
546 |a EN 
690 |a risk assessment 
690 |a excel tool 
690 |a individualized dosing 
690 |a model-based evaluation 
690 |a Therapeutics. Pharmacology 
690 |a RM1-950 
655 7 |a article  |2 local 
786 0 |n Antibiotics, Vol 10, Iss 4, p 468 (2021) 
787 0 |n https://www.mdpi.com/2079-6382/10/4/468 
787 0 |n https://doaj.org/toc/2079-6382 
856 4 1 |u https://doaj.org/article/f3962310ddee4758899316dd1cb70ebb  |z Connect to this object online.