Benedict Morath

Dr. Benedict Morath

orcid

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 June 2023 in European Journal of Hospital Pharmacy
Verified
Journal Article
Closed access
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BMBenedict Morath
Benedict Morath
UCUte Chiriac
Ute Chiriac
EJElena Jaszkowski
Elena Jaszkowski
CDCarolin Deiß
Carolin Deiß
HNHannah Nürnberg
Hannah Nürnberg
KGKim Green
Kim Green
Objectives To investigate the performance and risk associated with the usage of Chat Generative Pre-trained Transformer (ChatGPT) to answer drug-related questions. Methods A sample of 50 drug-related questions were consecutively collected and entered in the artificial intelligence software application ChatGPT. Answers were documented and rated in a standardised consensus process by six senior hospital pharmacists in the domains content (correct, incomplete, false), patient management (possible, insufficient, not possible) and risk (no risk, low risk, high risk). As reference, answers were researched in adherence to the German guideline of drug information and stratified in four categories according to the sources used. In addition, the reproducibility of ChatGPT’s answers was analysed by entering three questions at different timepoints repeatedly (day 1, day 2, week 2, week 3). Results Overall, only 13 of 50 answers provided correct content and had enough information to initiate management with no risk of patient harm. The majority of answers were either false (38%, n=19) or had partly correct content (36%, n=18) and no references were provided. A high risk of patient harm was likely in 26% (n=13) of the cases and risk was judged low for 28% (n=14) of the cases. In all high-risk cases, actions could have been initiated based on the provided information. The answers of ChatGPT varied over time when entered repeatedly and only three out of 12 answers were identical, showing no reproducibility to low reproducibility. Conclusion In a real-world sample of 50 drug-related questions, ChatGPT answered the majority of questions wrong or partly wrong. The use of artificial intelligence applications in drug information is not possible as long as barriers like wrong content, missing references and reproducibility remain.

19 April 2022 in Antibiotics
Verified
Journal Article
Open access
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UCUte Chiriac
Ute Chiriac
HRHeike Rau
Heike Rau
OFOtto Frey
Otto Frey
ARAnka C. Röhr
Anka C. Röhr
SKSabrina Klein
Sabrina Klein
BMBenedict Morath
Benedict Morath
Dalbavancin is emerging as a promising alternative in the ambulant treatment of gram-positive infections that require long-term antibiotic treatment such as osteomyelitis, prosthetic joint infections, and endocarditis. The aim of the current study was to develop and validate a simple, rapid, and cost-effective high-performance liquid chromatography–ultraviolet spectrometry (HPLC–UV) method for the quantification of dalbavancin. Sample clean-up included a protein precipitation protocol, followed by chromatographic separation on a reverse phase HPLC column (C-18) with gradient elution of the mobile phase. Quantification was performed with the internal standard (caffeine) method. Linear relationships between peak area responses and drug concentrations were obtained in the range of 12.5–400 mg/L. The variation coefficient of precision and the bias of accuracy (both inter- and intraday) were less than 10%. The limit of quantification (LOQ) was 12.5 mg/L. The simple and reliable HPLC–UV assay described is a powerful tool for routine therapeutic drug monitoring (TDM) of dalbavancin in human serum in clinical laboratories. With a total process time of approximately 20 min, it allows for accurate and selective quantification up to the expected pharmacokinetic peak concentrations. The method was successfully used to analyze subsequent serum samples of three patients and showed good performance in monitoring serum levels.

20 November 2025 in Infection
Verified
Journal Article
Open access
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HNHannah Nürnberg
Hannah Nürnberg
CDClaudia Denkinger
Claudia Denkinger
TKTabea Krause
Tabea Krause
LOLars Oetken
Lars Oetken
SRSophie Rauer
Sophie Rauer
BMBenedict Morath
Benedict Morath
Background: Penicillin allergy is the most frequently reported allergy in hospitalized patients, although rarely confirmed. Given the negative outcomes associated with incorrect penicillin allergy diagnoses, implementation of programmatic delabeling strategies is important for successful antibiotic stewardship. This systematic review evaluates the effectiveness of different delabeling strategies and highlights elements and settings that facilitate or constrict their implementation. Methods: Following the PRISMA-statement PubMed/MEDLINE, EMBASE, Cochrane Library, and grey literature databases “Worldcat” and “OpenGrey” were searched for studies reporting on interventions to identify, evaluate, or rule out incorrect penicillin allergy in hospitalized adults. Data extraction included settings, intervention types, and their effectiveness, barriers, facilitators, and regulatory factors. Results: This review included 42 studies, involving 6269 patients undergoing penicillin allergy delabeling, with 5017 (80%) successfully delabeled. Effectiveness varied from 32% to 99%. Skin testing had the highest success rate at 87%, followed by a combination of skin testing and oral challenge (84%), and direct oral challenges (77%). Direct delabeling alone had a lower effectiveness (67%), which improved to 80% when paired with oral challenges. Key facilitators included standardized algorithms and involvement of interdisciplinary teams. Barriers included patient refusal, staff resistance, time constraints, and financial limitations, particularly in smaller hospitals. Conclusion: Dependent on financial and staffing resources, oral challenges and direct delabeling after risk stratification may be alternatives to resource-intensive methods, such as skin testing, for successful delabeling. To address barriers to widespread delabeling implementation, patient and provider education must be improved, interprofessional collaboration enhanced, and standardized protocols developed.

20 November 2024 in Antibiotics
Verified
Journal Article
Open access
PDF file
UCUte Chiriac
Ute Chiriac
ULUwe Liebchen
Uwe Liebchen
OFOtto Frey
Otto Frey
HLHeike Lanzinger
Heike Lanzinger
SKSabrina Klein
Sabrina Klein
BMBenedict Morath
Benedict Morath
Increasing evidence suggests that dalbavancin is an effective long-term treatment for ventricular assist device (VAD) infections, with various prolonged dosing regimens currently in use. This retrospective study aimed to assess dalbavancin pharmacokinetics in VAD patients and identify optimal, feasible dosing regimens for long-term suppressive outpatient therapy. Data from Heidelberg University Hospital’s VAD register were analyzed using non-linear mixed-effects modeling for pharmacokinetic analysis and dosing simulations (Lixoft®). The probability of target attainment (PTA) and cumulative fraction of response (CFR) were calculated for different protein-binding scenarios considering the minimum inhibitory concentration (MIC) distribution of Staphylococcus aureus. Using data from 13 patients with 38 blood samples, a two-compartment model best described the dalbavancin pharmacokinetics, with a typical value for clearance of 0.050 L/h, central volume of distribution of 6.5 L, and peripheral volume of 15.4 L. No covariates significantly improved the model fit. The observed protein binding varied between 96 and 98%. Dosing simulations demonstrated that 1500 mg every 3 weeks ensured the target attainment for stasis at MIC values of 0.125 mg/L (PTA ≥ 90%) up to a protein binding of 99%. Considering the CRF, longer dosing intervals up to 5 weeks might be possible. Depending on individual MICs and protein binding, a dalbavancin regimen of 1500 mg every 3 to 5 weeks therefore appears to be a valuable option for outpatient therapy of VAD infections. Therapeutic drug monitoring should be considered to manage inter-individual variability and to support clinicians in long-term treatments of subacute and chronic infections.

26 September 2021 in Drug Safety
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Journal Article
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BMBenedict Morath
Benedict Morath
AMAndreas D. Meid
Andreas D. Meid
JRJohannes Rickmann
Johannes Rickmann
JSJasmin Soethoff
Jasmin Soethoff
MVMarkus Verch
Markus Verch
MZMarcin Zaradzki
Marcin Zaradzki
Introduction The risk for renal complications from hydroxyethyl starch 130/0.42 (HES) impacts treatment decisions in patients after cardiac surgery. Objective The objective of this study was to determine the impact of postoperatively administered HES on renal function and 90-day mortality compared to sole crystalloid administration in patients after elective cardiac surgery. Methods Using electronic health records from a university hospital, confounding-adjusted models analyzed the associations between postoperative HES administration and the occurrence of postoperative acute kidney injury. In addition, 90-day mortality was evaluated. The impact of HES dosage and timing on renal function on trajectories of estimated glomerular filtration rates over the postoperative period was investigated using linear mixed-effects models. Results Overall 1009 patients (45.0%) experienced acute kidney injury. Less acute kidney injury occurred in patients receiving HES compared with patients receiving only crystalloids for fluid resuscitation (43.7% vs 51.2%, p = 0.008). In multivariate acute kidney injury models, HES had a protective association (odds ratio: 0.89; 95% confidence interval 0.82–0.96). Crystalloids were not as protective as HES (odds ratio: 0.98; 95% confidence interval 0.95–1.00). There was no association between HES and 90-day mortality (odds ratio: 1.05; 95% confidence interval 0.88–1.25). Renal function trajectories were dose dependent and biphasic, HES appeared to slow down the late postoperative decline. Conclusions This study showed no association between HES and the postoperative occurrence of acute kidney injury and thus further closes the evidence gap on HES safety in cardiac surgery patients. Although this was a retrospective cohort study, the results indicated that HES might be safely administered to cardiac surgery patients with regard to renal outcomes, especially if it was administered early and dosed appropriately.

5 June 2025 in Clinical Pharmacokinetics
Verified
Journal Article
Open access
PDF file
BMBenedict Morath
Benedict Morath
KFKathrin I. Foerster
Kathrin I. Foerster
UCUte Chiriac
Ute Chiriac
MZMarcin Zaradzki
Marcin Zaradzki
THTorsten Hoppe-Tichy
Torsten Hoppe-Tichy
SWSebastian G. Wicha
Sebastian G. Wicha
Aim To investigate the effect of amiodarone on apixaban pharmacokinetics in cardiac surgery patients with postoperative atrial fibrillation. Methods Apixaban concentrations of postoperative cardiac surgery patients with or without amiodarone therapy were quantified using liquid chromatography–tandem mass spectrometry (LC–MS/MS) in clinical routine. A population pharmacokinetic model was built using nonlinear mixed effects modeling in NONMEM® 7.5 using first-order conditional estimation with interaction. The impact of amiodarone and creatinine clearance (CrCL) on apixaban exposure under various dosing regimens was analyzed using Simulx® (Lixoft). Results A total of 33 patients with 76 apixaban concentrations were included. A one-compartment model best described the pharmacokinetics of apixaban with a clearance (CL/F) of 3.05 L/h, apparent volume of distribution (Vd/F) of 23.7 L, and an absorption rate constant (ka) of 0.652/h. Interindividual variability (IIV) was observed in CL/F but not in Vd/F and ka. The covariates amiodarone and CrCL were independently associated with apixaban CL/F. Under concomitant amiodarone therapy, simulations predicted an increase of 44–49% in apixaban area under the concentration–time curve (AUC), and AUC nearly doubled at CrCL 35 mL/min. A dose of 2.5 mg apixaban twice daily (b.i.d.) was identified as a potential dosing option in the CrCL range of 15–50 mL/min under amiodarone comedication. Conclusions Concomitant amiodarone therapy reduced apixaban CL/F and increased the risk of high exposure in patients with impaired renal function. A dose of 2.5 mg apixaban b.i.d. for a CrCL range of 30–50 mL/min under concomitant amiodarone therapy was identified as a new dosing option.