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Background Echinocandins are commonly used in treatment and prophylaxis of invasive fungal diseases. Intravenous daily dosing for prophylaxis in the outpatient setting can however become a hurdle for adequate compliance in the paediatric population. Objectives Simulations were performed to assess extended twice-weekly dosing for antifungal prophylaxis using caspofungin. Methods A population pharmacokinetic model was developed based on previously published data from children aged 3 months to 17 years. Using the final model, Monte Carlo simulations were performed to assess the dose needed for adequate exposure in a twice-weekly setting. Mean weekly AUC0–24 h/MIC together with reported AUC0–24 h from previously reported paediatric trials were used to guide adequate exposure. Results and Conclusions A two-compartment model with linear elimination and allometric scaling using fixed exponents was found most adequate to describe the given paediatric populations. Simulations showed that a 200 mg/m2 twice-weekly regimen with maximal 200 mg total dose should result in exposures matching registered daily dosing as well as commonly used pharmacokinetic/pharmacodynamic targets.

The altered pharmacokinetics of renally cleared drugs such as meropenem in critically ill patients receiving continuous renal replacement therapy (CRRT) might impact target attainment. Model-informed precision dosing (MIPD) is applied to individualize meropenem dosing. However, most population pharmacokinetic (PopPK) models developed to date have not yet been evaluated for MIPD. Eight PopPK models based on adult CRRT patients were identified in a systematic literature research and encoded in NONMEM 7.4. A data set of 73 CRRT patients from two different study centers was used to evaluate the predictive performance of the models using simulation and prediction-based diagnostics for i) a priori dosing based on patient characteristics only and ii) Bayesian dosing by including the first measured trough concentration. Median prediction error (MPE) for accuracy within |20%| (95% confidence intervals including zero) and median absolute prediction error (MAPE) for precision ≤ 30% were considered clinically acceptable. For a priori dosing, most models (n = 5) showed accuracy and precision MPE within |20%| and MAPE

PDF file - 143KB, Goodness-of-fit plots: (A,B) evaluation dataset with allometric body weight as covariate on clearance; (C,D) evaluation dataset with body surface area as covariate on clearance. For each dataset the observed plasma concentrations are plotted against the population model predicted concentrations and against the individual model predicted concentrations. The line of identity is shown.

PDF file - 79KB, (A) Conditional weighted residuals over time after dose for the population model with allometric body weight as covariate on clearance and (B) conditional weighted residuals over time after dose for the population model with body surface area as covariate on clearance.

PDF file - 139KB, prediction corrected Visual Predictive Checks pcVPC; (A) development models; (B) development models with IV busulfan data; (C) development models with oral busulfan data; (D) evaluation dataset; pcVPCs show the median solid black line, 5th and 95th percentiles dashed black lines for the observed data with 95% confidence intervals for the median dark grey field, 5% and 95% percentiles light grey fields based on simulations.

PDF file - 75KB, Population model comparison; population parameter estimates Abbreviations: BW body weight, BSA body surface area, CL apparent clearance, V apparent volume of distribution, ka absorption rate constant, F bioavailability, standard errors in brackets, * estimated for a 27.2 kg subject, ** CV% based on simulations (sd(Fi)/mean(Fi)) and in squared parenthesis shows the variance for the logit-transform of F.

Purpose: To evaluate the best method for dosing busulfan in children, we retrospectively analyzed two different data sets from three different dosing regimens by means of population pharmacokinetics using NONMEM.Experimental Design: The development data set consisted of plasma samples from 94 children, in the age range of 0.4 to 18.8 years, receiving either oral or intravenous busulfan. The external model evaluation data set comprised 24 children, in the age range of 0.1 to 18.9 years, who belonged to the once-daily intravenous busulfan dosing regimen. A one-compartment model with first-order absorption using body surface area (BSA) or allometric body weight (BW) as covariate on clearance (CL) and BW as covariate on volume of distribution (V) were used to describe the results sufficiently. In addition to interindividual variability on all pharmacokinetic parameters, interoccasion variability was included for CL and V.Results: CL values in the present study did not reflect the shape of the CL versus weight curve reported in previous investigations. By external model evaluation, we were able to confirm these findings. Furthermore, bioavailability was calculated to be between 93% and 99% for the development data set. On the basis of the final models, we simulated two dosing schemes according to allometric BW and BSA showing that we estimated to include about 30% more patients into the proposed therapeutic area under the curve (AUC) range of 900 to 1,500 μM*min and could, furthermore, achieve a reduction in the AUC variability when dosed according to the labeled European Medicines Agency (EMA) dosing recommendation.Conclusion: We recommend a BSA or an allometric BW dosing regimen for individualizing busulfan therapy in children to reduce variability in busulfan exposure and to improve safety and efficacy of busulfan treatment. Clin Cancer Res; 17(21); 6867–77. ©2011 AACR.

PDF file - 612KB, AUC exposure shown by weight groups from simulations for the (A) allometric dosing regimen and (B) BSA dosing regimen with an AUCtarget of 1150�M*min; plots the 10th, 25th, 50th median, 75th and 90th percentiles as vertical boxes with error bars Abbreviations: AUC area under the curve, BSA body surface area.

Safety assessment of human pharmaceuticals demands extensive animal experiments before a compound can be tested in patients or released on the market. Such experiments typically include concurrent vehicle control groups. Reconsidering the need for concurrent controls could support the strive to reduce the use of animals for scientific purposes. We reviewed reports from 20 (sub)chronic toxicity studies that were conducted in non-human primates (NHP) to characterize hazards of novel human pharmaceuticals. Firstly, we determined the toxicological endpoints that were identified to characterize the hazard. Secondly, we evaluated if the hazard could have been identified without reference to the concurrent controls. Thirdly, we employed an alternative statistical method to test for any significant change related to dose level or time. We found that toxicologically relevant hazards were identifiable without reference to concurrent controls, because individual measurements could be compared with pre-dosing values or because individual measurements could be compared to historical reference data. Effects that could not be evaluated without reference to concurrent controls were clinical observations and organ weights for which appropriate historical reference data was not available, or immune responses that could not be compared to pre-dosing measurements because their magnitude would change over time. Our investigation indicates that concurrent control groups in (sub)chronic NHP toxicity studies are of limited relevance for reaching the study objective. Under certain conditions, regulatory (sub)chronic NHP toxicity studies represent a good starting point to implement virtual control groups rather than concurrent control groups in nonclinical safety testing.

A fully validated bioanalytical methods are prerequisite for pharmacokinetic and bioequivalence studies as well as for therapeutic drug monitoring. Due to high pharmacokinetic variability and narrow therapeutic index, vancomycin requires reliable quantification methods for therapeutic drug monitoring. To identify published chromatographic based bioanalytical methods for vancomycin in current systematic review, PubMed and ScienceDirect databases were searched. The selected records were evaluated against the method validation criteria derived from international guidelines for critical assessment. The major deficiencies were identified in method validation parameters specifically for accuracy, precision and number of calibration and validation standards, which compromised the reliability of the validated bioanalytical methods. The systematic review enacts to adapt the recommended international guidelines for suggested validation parameters to make bioanalysis reliable.

Purpose: Imatinib is indicated for treatment of CML, GIST, etc. The population pharmacokinetics (popPK) of imatinib in patients under long-term treatment are reported in literature. Data obtained from bioequivalence trials for healthy subjects were used to evaluate the influence of demographic and pharmacogenetic factors on imatinib pharmacokinetics (PK) in a collective without concurrent drugs, organ dysfunction, inflammation etc. In addition, the differences in PK between the healthy subjects and a patient cohort was examined to identify possible disease effects. Methods: 26 volunteers were administered orally with single dose of 400 mg imatinib. 16–19 plasma samples per volunteer were collected from 0.5 up to 72 h post-dose. The popPK was built and post hoc estimates were compared with previously published PK parameters evaluated by non-compartmental analysis in the same cohort. The predictivity of the model for data collected from 40 patients with gastrointestinal stromal tumors at steady state was evaluated. Results: The popPK was best described by a two-compartment transit model with first-order elimination. No significant covariates were identified, probably due to the small cohort and the narrow range of demographic covariates; CYP3A5 phenotypes appeared to have some influence on the clearance of imatinib. Good agreement between non-compartment and popPK analyses was observed with the differences of the geometric means/ median of PK estimates below 10%. The model indicated lower clearance for patients compared to healthy volunteers (p value < 0.01). Conclusion: The two-compartment transit model adequately describes the absorption and distribution of imatinib in healthy volunteers. For patients, a lower clearance of imatinib compared to healthy volunteer was estimated by the model. The model can be applied for dose individualization based on trough concentrations assuming no significant differences in absorption between patients and healthy volunteers, This work was part of the master these of Yi-Han Chien. There was no funding for this work. P. Zubiaur’s contract with CIBERehd is fnanced by the “Infraestructura de Medicina de Precisión asociada a la Ciencia y Tecnología (IMPaCT, IMP/00009)”, Instituto de Salud Carlos III (ISCIII)

BACKGROUND: Delirium is a common and serious complication of inpatient hospital care in older patients. The current approaches to prevention and treatment followed in German hospitals are inconsistent. The aim of this study was to test the effectiveness of a standardized multiprofessional approach to the management of delirium in inpatients. METHODS: The patients included in the study were all >65 years old, were treated for at least 3 days on an internal medicine, trauma surgery, or orthopedic ward at Münster University Hospital between January 2016 and December 2017, and showed cognitive deficits on standardized screening at the time of admission (a score of ≤=25 on the Montreal Cognitive Assessment [MoCA] test). Patients in the intervention group received standardized delirium prevention and treatment measures; those in the control group did not. The primary outcomes measured were the incidence and duration of delirium during the hospital stay; the secondary outcomes measured were cognitive deficits relevant to daily living at 12 months after discharge (MoCA and Instrumental Activities of Daily Living [I-ADL]). RESULTS: The data of 772 patients were analyzed. Both the rate and the duration of delirium were lower in the intervention group than in the control group (6.8% versus 20.5%, odds ratio 0.28, 95% confidence interval [0.18; 0.45]; 3 days [interquartile range, IQR 2–4] versus 6 days [IQR 4–8]). A year after discharge, the patients with delirium in the intervention group showed fewer cognitive deficits relevant to daily living than those in the control group (I-ADL score 2.5 [IQR 2–4] versus 1 [IQR 1–2], P = 0.02). CONCLUSION: Structured multiprofessional management reduces the incidence and duration of delirium and lowers the number of lasting cognitive deficits relevant to daily living after hospital discharge.

Aims The purpose of this study was to explore pharmacokinetic and pharmacodynamic aspects of a contemporary dosing scheme of cefuroxime as perioperative prophylaxis in cardiac surgery using cardiopulmonary bypass (CPB). Methods Cefuroxime plasma concentrations were measured in 23 patients. A 1.5-g dose of cefuroxime was administered at start of surgery and CPB, followed by 3 additional doses every 6 hours postoperative. Drug levels were used to build a population pharmacokinetic model. Target attainment for Staphylococcus aureus (2-8 mg/L) and Escherichia coli (8-32 mg/L) were evaluated and dosing strategies for optimization were investigated. Results A dosing scheme of 1.5 g cefuroxime preoperatively with a repetition at start of CPB achieves plasma unbound concentrations of 8 mg/L in almost all patients during surgery. The second administration is critical to provide this level of coverage. Simulations indicate that higher unbound concentrations up to 32 mg/L are reached by a continuous infusion rate of 1 g/h after a bolus of 1 g. In the postoperative phase, most patients do not reach unbound concentrations above 2 mg/L. To improve target attainment up to 8 mg/L, the continuous application of cefuroxime with infusion rates of 0.125-0.25 g/h is simulated and shown to be an alternative to bolus dosing. Conclusion Dosing recommendations for cefuroxime as perioperative antibiotic prophylaxis in cardiac surgery are sufficient to reach plasma unbound concentration to cover S. aureus during the operation. Target attainment is not achieved in the postoperative period. Continuous infusion of cefuroxime may optimize target attainment.

Zusammenfassung Hintergrund Medikationsanalysen in offentlichen Apotheken bieten eine Moglichkeit, arzneimittelbezogene Probleme zu reduzieren und auf diese Weise die Arzneimitteltherapiesicherheit zu verbessern. Seit 2014 existiert eine Leitlinie zur Durchfuhrung von Medikationsanalysen in offentlichen Apotheken. Allein das Vorhandensein einer Leitlinie garantiert jedoch noch keine ausreichende Qualitat dieser neuen Dienstleistung. Qualitatsindikatoren konnen einen wichtigen Beitrag zur Qualitatssicherung leisten. Fur Deutschland gibt es bislang keine Qualitatsindikatoren in diesem Bereich. Ziel dieser Arbeit war es, Indikatoren zur Bewertung der Qualitat von Medikationsanalysen vom Typ 2a in offentlichen Apotheken zu entwickeln. Methoden Ausgehend von einer Literaturrecherche, wurden mogliche Qualitatsindikatoren fur Medikationsanalysen in offentlichen Apotheken generiert. Im Rahmen eines zweistufigen Delphi-Verfahrens wurde, unter Anwendung der RUMBA-Kriterien, ein Set von Struktur-, Prozess- und Ergebnisindikatoren entwickelt. Ergebnis Aus der Literaturrecherche wurden 23 potentielle Indikatoren ermittelt. Diese wurden um neun Indikatoren, ausgehend von der Leitlinie Medikationsanalyse und der Meinung von Fachleuten, erganzt. Die gesamten 32 Indikatoren wurden in einer Fokusgruppe diskutiert und fuhrten zu einem vorlaufigen Set von zwolf Indikatoren, die fur das Delphi-Verfahren verwendet wurden. Nach zwei Delphi-Runden wurde ein finales Indikatoren-Set, bestehend aus drei Strukturindikatoren, einem Prozessindikator und zwei Ergebnisindikatoren, erstellt. Diskussion Das entwickelte Indikatoren-Set ist potenziell zur Messung der Qualitat von Medikationsanalysen in offentlichen Apotheken geeignet. In einem folgenden Schritt sollten diese Indikatoren validiert und auf ihre Anwendbarkeit in der Routine uberpruft werden.

As viral infections are an increasing threat to human societies, the need for new therapeutic strategies is becoming even more obvious. As no vaccine is available for COVID-19, the development of directly acting antiviral agents and preventive strategies have to be considered. Nature provides a huge reservoir of anti-infectious compounds, from which we can deduce innovative ideas, therapies, and products. Anti-adhesive natural products interact with the receptor-mediated recognition and early interaction of viruses with the host cells, leading to a reduced internalisation of the virus and reduced infections (e.g., procyanidin-B-2-di-O-gallate against influenza and herpes virus). Lignans like podophyllotoxin and bicyclol show strong antiviral activities against different viruses, and essential oils can directly interact with viral membranes and reduce the hostʼs inflammatory responses (e.g., 1,8-cineol). Echinacea extracts stimulate the immune system, and bioavailable alkamides are key players by interacting with immunomodulating cannabinoid receptors. COVID-19 and SARS-CoV-2 infections have, in part, successfully been treated in China by preparations from traditional Chinese medicine and, while it is too early to draw conclusions, some promising data are available. There is huge potential, but intensified research is needed to develop evidence-based medicines with a clearly defined chemical profile. Intensified research and development, and therefore funding, are needed for exploiting natureʼs reservoir against viral infections. Combined action for basic research, chemistry, pharmacognosy, virology, and clinical studies, but also supply chain, sustainable sourcing, and economic aspects have to be considered. This review calls for intensified innovative science on natural products for the patients and for a healthier world!

Aims Adequate plasma concentrations of antibiotics during surgery are essential for the prevention of surgical site infections. We examined the pharmacokinetics of 1.5 g cefuroxime administered during induction of anaesthesia with follow-up doses every 2.5 hours until the end of surgery. We built a physiologically based pharmacokinetic model with the aim to ensure adequate antibiotic plasma concentrations in a heterogeneous population. Methods A physiologically based pharmacokinetic model (PK-Sim® /MoBi® ) was developed to investigate unbound plasma concentrations of cefuroxime. Blood samples from 25 thoracic surgical patients were analysed with high-performance liquid chromatography. To evaluate optimized dosing regimens, physiologically based pharmacokinetic model simulations were conducted. Results Dosing simulations revealed that a standard dosing regimen of 1.5 g every 2.5 hours reached the pharmacokinetic/pharmacodynamic target for Staphylococcus aureus. However, for Escherichia coli, >50% of the study participants did not reach predefined targets. Effectiveness of cefuroxime against E. coli can be improved by administering a 1.5 g bolus immediately followed by a continuous infusion of 3 g cefuroxime over 3 hours. Conclusion The use of cefuroxime for perioperative antibiotic prophylaxis to prevent staphylococcal surgical site infections appears to be effective with standard dosing of 1.5 g preoperatively and follow-up doses every 2.5 hours. In contrast, if E. coli is relevant in surgeries, this dosing regimen appears insufficient. With our derived dose recommendations, we provide a solution for this issue.

Exposure-efficacy and/or exposure-toxicity relationships have been identified for up to 80% of oral anticancer drugs (OADs). Usually, OADs are administered at fixed doses despite their high interindividual pharmacokinetic variability resulting in large differences in drug exposure. Consequently, a substantial proportion of patients receive a suboptimal dose. Therapeutic Drug Monitoring (TDM), i.e., dosing based on measured drug concentrations, may be used to improve treatment outcomes. The prospective, multicenter, non-interventional ON-TARGET study (DRKS00025325) aims to investigate the potential of routine TDM to reduce adverse drug reactions in renal cell carcinoma patients receiving axitinib or cabozantinib. Furthermore, the feasibility of using volumetric absorptive microsampling (VAMS), a minimally invasive and easy to handle blood sampling technique, for sample collection is examined. During routine visits, blood samples are collected and sent to bioanalytical laboratories. Venous and VAMS blood samples are collected in the first study phase to facilitate home-based capillary blood sampling in the second study phase. Within one week, the drug plasma concentrations are measured, interpreted, and reported back to the physician. Patients report their drug intake and toxicity using PRO-CTCAE-based questionnaires in dedicated diaries. Ultimately, the ON-TARGET study aims to develop a nationwide infrastructure for TDM for oral anticancer drugs.

Exposure-efficacy and/or exposure-toxicity relationships have been identified for up to 80% of oral anticancer drugs (OADs). Usually, OADs are administered at fixed doses despite their high interindividual pharmacokinetic variability resulting in large differences in drug exposure. Consequently, a substantial proportion of patients receive a suboptimal dose. Therapeutic Drug Monitoring (TDM), i.e., dosing based on measured drug concentrations, may be used to improve treatment outcomes. The prospective, multicenter, non-interventional ON-TARGET study (DRKS00025325) aims to investigate the potential of routine TDM to reduce adverse drug reactions in renal cell carcinoma patients receiving axitinib or cabozantinib. Furthermore, the feasibility of using volumetric absorptive microsampling (VAMS), a minimally invasive and easy to handle blood sampling technique, for sample collection is examined. During routine visits, blood samples are collected and sent to bioanalytical laboratories. Venous and VAMS blood samples are collected in the first study phase to facilitate home-based capillary blood sampling in the second study phase. Within one week, the drug plasma concentrations are measured, interpreted, and reported back to the physician. Patients report their drug intake and toxicity using PRO-CTCAE-based questionnaires in dedicated diaries. Ultimately, the ON-TARGET study aims to develop a nationwide infrastructure for TDM for oral anticancer drugs.

For therapeutic drug monitoring (TDM) of axitinib, the new volumetric absorption microsampling technology (VAMS™) was applied to obtain capillary blood samples in an ambulatory setting and the results were compared to plasma samples as the gold standard. On-line solid phase extraction (SPE) applying a Turboflow HTLC Cyclone™ 1.0 × 500 mm column was used to reduce costs and working time. For the analytical separation, a Kinetex 2.6 µm C18 100 Å, 100 × 3.0 mm column with a flow rate of 0.3 mL/min in gradient mode was utilised. The mobile phase consisted of acetonitrile, water and formic acid (A: 05:95:0.1 v/v and B: 95:05:0.1 v/v). For the detection, a single-quadrupole MS detector was used. Through the use of on-line SPE technology, it is possible to reach a LLOQ of 0.5 µg/L from a 10 µL capillary blood sample. For lower concentrations, a MS/MS-detector coupled with the same chromatographic system was applied reaching a LLOQ of 0.04 µg/L. This newly developed method was validated with both detectors at different calibration ranges for plasma and capillary blood as matrix. The precision of the within- and between-runs was within a range of 0.6-7.8% and 1.8 - 14% CV, respectively, while the accuracy was within a range of 81.2-115% and 87.7-116%, respectively. A reliable, simple, less personnel-intensive and cost-efficient extraction and analysis LC-MS and LC-MS/MS method could be developed and validated, which is applicable in ambulatory and clinical care.

We investigated covariates of pharmacokinetics of micafungin in critically ill patients. After application of micafungin, plasma samples were collected. Non-linear mixed effects modelling (NONMEM 7.3) was used to develop the pharmacokinetic model. Using this model, the adequacy of a fixed 100 mg dosing regimen was evaluated in the study cohort. A two-compartment model with linear elimination was found to describe the obtained data. SOFA score was identified as a significant covariate on both clearance and central volume of distribution, respectively. Patients in highly critical condition, represented by a SOFA above 10 showed a 30.8% lower central volume of distribution than the less critically ill patients. For patients with bilirubin levels above 4 mg/dl, clearance was decreased by 21.1%. Renal replacement therapy (RRT) did not influence micafungin clearance or the volumes of distribution. In a posthoc evaluation of the modeled population, 100 mg micafungin was suitable when assessing the PKPD targets (AUC/MIC) for C. albicans and C. glabrata, with insufficient target attainment for C. parapsilosis. Micafungin pharmacokinetics appear not to be influenced by the status of RRT. A dose of 100 mg micafungin is suitable for infections with C. albicans and C. glabrata in critically ill patients.

Background Pharmacists in community pharmacies worldwide successfully conduct an increasing number of medication reviews (MR). Since June 2012 MR are incorporated in the German ordinance on the operation of pharmacies as pharmaceutical service. In November 2014, a German guideline for MR was established. Different teaching programmes for MR were implemented since. Despite these favorable conditions, only few pharmacies conduct MR regularly. Objective: Identification of factors necessary for a successful implementation of MR in community pharmacies. Setting: Community pharmacies located in the area of the Pharmacists’ Chamber Westphalia-Lippe (Part of Northrhine-Westphalia, Germany). Method: Following a Positive-Deviance approach, telephone interviews were conducted in community pharmacies with pharmacy-owners, MR-trained employed pharmacists, and technicians. Data evaluation was performed using qualitative content analysis. Main outcome results: Successful strategies for implementing MR in community pharmacies. Results: Forty-four interviews were conducted and analysed. Thirty-three success factors were identified. Data analysis revealed two groups of success-factors important for implementation of MR; organisational (n = 25) and individual factors (n = 8). Relevant organisational success-factor were involvement of the entire team with active involvement of technicians, documentation of results in the pharmacy software and training in patient-identification and communication. Restructuring of workflows increased time-periods for MR. Important individual success-factors were: motivation and identification with the service, routine in execution to enhance self-esteem, and specialisation in pharmacotherapy of particular diseases. Pharmacy-owners play a pivotal role as motivators. Professional healthcare attitude, exhibited in daily routine, leads to increased acceptance by patients and practitioners and thus increases implementation-rates considerably. Conclusion: We were able to define strategies for successful implementation of MR in community pharmacies.

Background and Objectives The pharmacokinetics of polyethylene glycol-conjugated asparaginase (PEG-ASNase) are characterized by an increase in elimination over time, a marked increase in ASNase activity levels from induction to reinduction, and high inter- and intraindividual variability. A population pharmacokinetic (PopPK) model is required to estimate individual dose intensity, despite gaps in monitoring compliance. Methods In the AIEOP-BFM ALL 2009 trial, two PEG-ASNase administrations (2500 U/m2 intravenously) during induction (14-day interval) and one administration during reinduction were administered in children with acute lymphoblastic leukemia. ASNase activity levels were monitored weekly. A PopPK model was used for covariate modeling and external validation. The predictivity of the model in case of missing data was tested for observations, as well as for the derived parameters of the area under the concentration time curve (AUC0-∞) and time above different thresholds. Results Compared to the first administration in induction (1374 patients, 6069 samples), the initial clearance and volume of distribution decreased by 11.0% and 15.9%, respectively, during the second administration during induction and by 41.2% and 28.4% during reinduction. Furthermore, the initial clearance linearly increased for children aged > 8 years and was 7.1% lower for females. The model was successfully externally validated (1253 patients, 5523 samples). In case of missing data, > 52% of the predictions for observations and > 82% for derived parameters were within ± 20% of the nominal value. Conclusion A PopPK model that describes the complex pharmacokinetics of PEG-ASNase was successfully externally validated. AUC0−∞ or time above different thresholds, which are parameters describing dose intensity, can be estimated with high predictivity, despite missing data. (www.clinicaltrials.gov, NCT01117441, first submitted date: May 3, 2010). Supplementary Information The online version contains supplementary material available at 10.1007/s13318-021-00670-8.

Antibodies against polyethylene glycol (PEG) in healthy subjects raise concerns about the efficacy of pegylated drugs. We evaluated the prevalence of antibodies against PEG among patients with acute lymphoblastic leukemia (ALL) prior to and/or immediately after their first dose of pegylated E.coli asparaginase (PEG-ASNase). Serum samples from 701 children (673 with primary ALL, 28 with relapsed ALL) and 188 adults with primary ALL were analyzed for anti-PEG IgG and IgM. Measurements in 58 healthy infants served as a reference to define cut-points for antibody-positive and -negative samples. The prevalence of anti-PEG antibodies in ALL patients prior to the first administration of PEG-ASNase was 13.9% for anti-PEG IgG and 29.1% for anti-PEG IgM. After administration of PEG-ASNase the prevalence of anti-PEG antibodies decreased to 4.2% for anti-PEG IgG and to 4.5% for anti-PEG IgM. Pre-existing anti-PEG antibodies did not inhibit PEGASNase activity but significantly reduced PEG-ASNase activity levels in a concentration-dependent manner. Although pre-existing anti-PEG antibodies were not boosted, pre-existing anti-PEG IgG were significantly associated with first-exposure hypersensitivity reactions (Common Terminology Criteria for Adverse Events grade 2) (P

Background In nursing home residents (NHRs), polypharmacy is widespread, accompanied by elevated risks of medication related complications. Managing medication in NHRs is a priority, but prone to several challenges, including interprofessional cooperation. Against this background, we implemented and tested an interprofessional intervention aimed to improve medication appropriateness for NHRs. Methods A non-randomized controlled study (SiMbA; “Sicherheit der Medikamentherapie bei AltenheimbewohnerInnen”, Safety of medication therapy in NHRs) was conducted in six nursing homes in Austria (2016–2018). Educational training, introduction of tailored health information technology (HIT) and a therapy check process were combined in an intervention aimed at healthcare professionals. Medication appropriateness was assessed using the Medication Appropriateness Index (MAI). Data was collected before (t0), during (t1, month 12) and after (t2, month 18) intervention via self-administered assessments and electronic health records. Results We included 6 NHs, 17 GPs (52.94% female) and 240 NHRs (68.75% female; mean age 85.0). Data of 159 NHRs could be included in the analysis. Mean MAI-change was − 3.35 (IG) vs. − 1.45 (CG). In the subgroup of NHRs with mean MAI ≥23, MAI-change was − 10.31 (IG) vs. −3.52 (CG). The intervention was a significant predictor of improvement in MAI when controlled for in a multivariable regression model. Conclusions Improvement of medication appropriateness was clearest in residents with inappropriate baseline MAI-scores. This improvement was independent of variances in certain covariates between the intervention and the control group. We conclude that our intervention is a feasible approach to improve NHRs’ medication appropriateness. Trial registration DRKS Data Management, ID: DRKS00012246. Registered 16.05.2017 – Retrospectively registered.

Background To determine the distribution of vancomycin into the cerebrospinal fluid (CSF) in patients with external ventricular drain (EVD)-associated ventriculitis, the pharmacokinetics of vancomycin were evaluated, and covariate relationships explored. Methods For the population pharmacokinetic model patients were recruited in a neuro-critical care unit at the University Hospital of Muenster in the period between January 2014 and June 2015. All patients had a clinical evidence of (EVD)-associated ventriculitis. Population pharmacokinetic analysis of vancomycin was performed using NONMEM®. Results A total of 184 blood and 133 CSF samples were collected from 29 patients. The final population pharmacokinetic model is a three-compartment model with linear elimination. Creatinine clearance (ClCr ) and CSF-lactate were detected as significant covariates, showing that the total vancomycin plasma clearance (Cl) depends on ClCr and furthermore, the clearance (Cldif ) between the central and CSF compartment correlates with CSF lactate concentration. Based on the final model, the following values were estimated by NONMEM®: Cl = 5.15 L/h, Q (intercompartmental clearance) =3.31L/h, Cldif = 0.0031 L/h, Vcentral = 42.1 L, VCSF = 0.32 L and the value of Vperipheral was fixed to 86.2 L. With the developed pharmacokinetic model, AUC (area under the curve) values as well as CSF trough levels were simulated. Conclusion Based on our analysis, the dosing of vancomycin should be referred to the degree of inflammation (derived from the CSF lactate concentration) and renal function (derived from ClCr ).

Controversy exists regarding dose adjustment in patients treated with voriconazole due to the severity of the infections for which it is prescribed. The Dutch Pharmacogenetics Working Group (DPWG) recommends a 50% dose increase or decrease for cytochrome P450 (CYP) 2C19 ultrarapid (UM) or poor (PM) metabolizers, respectively. In contrast, for the previous phenotypes, the Clinical Pharmacogenetics Implementation Consortium (CPIC) voriconazole guideline only recommends a change of treatment. Based on observed data from single-dose bioequivalence studies and steady-state observed concentrations, we aimed to investigate voriconazole dose adjustments by means of physiologically based pharmacokinetic (PBPK) modeling. PBPK modeling was used to optimize voriconazole single-dose models for each CYP2C19 phenotype, which were extrapolated to steady state and evaluated for concordance with the therapeutic range of voriconazole. Based on optimized models, dose adjustments were evaluated for better adjustment to the therapeutic range. Our models suggest that the standard dose may only be appropriate for normal metabolizers (NM), although they would benefit from a 50–100% loading dose increase. Intermediate metabolizers (IMs) and PMs required a daily dose reduction of 50 and 75%, respectively. Rapid metabolizers (RMs) and UMs required a daily dose increase of 100% and 300%, respectively. The prescription of voriconazole in clinical practice should be personalized according to the CYP2C19 phenotype, followed by therapeutic drug monitoring of plasma concentrations to guide dose adjustment.

Aim: Volumetric absorptive microsampling offers a hematocrit insensitive way for microsampling. The aim of this study was to develop a method for routine healthcare for 14 antidepressants, antipsychotics and their active metabolites on a single-quadrupole HPLC–MS. A clinical validation study to determine conversion factors from capillary blood to plasma concentration was conducted afterward. Results: The method was validated according to current guidelines except for one substance. Five substances were measured in 49 patient samples and conversion factors could be derived with Passing–Bablok and Bland–Altman analysis. Conclusion: A reliable extraction and analysis method for commonly used antidepressants and antipsychotics was developed and validated. The method with the obtained conversion factors can now be used in routine healthcare.

Aspergillus galactomannan antigenemia is an accepted tool for the diagnosis of invasive pulmonary aspergillosis (IPA) in neutropenic patients. Little is known, however, about the utility of this biomarker to assess the efficacy of antifungal therapies. The pharmacokinetics (PK) and pharmacodynamics (PD) of posaconazole in treatment and prophylaxis were investigated in the persistently neutropenic rabbit model of Aspergillus fumigatus IPA at doses between 2 and 20 mg/kg per day. Sparse plasma sampling was used to obtain PK data at steady state, and the serum galactomannan index (GMI), as a dynamic endpoint of antifungal response, was obtained every other day, in addition to conventional outcome parameters including survival and fungal tissue burden. Nonparametric PK/PD model building was performed using the Pmetrics package in R. A one-compartment model with linear elimination best described the PK of posaconazole. The PD effect of posaconazole exposure in plasma on the GMI in serum was best described by dynamic Hill functions reflecting growth and killing of the fungus. Through calculations of the area under the concentration-time curve from 0 to 24 h (AUC(0–24)) at steady state, the exposure-response relationship between posaconazole and the GMI for treatment followed a sigmoidal function with an asymptote forming above an AUC(0–24) of 30 mg · h/liter. All prophylactic doses were able to control the fungal burden. A nonparametric population PK/PD model adequately described the effect of posaconazole in prophylaxis and treatment of experimental IPA. An AUC(0–24) greater than 30 mg · h/liter was associated with adequate resolution of the GMI, which well supports previously suggested exposure-response relationships in humans.

Ethnopharmacological relevance Cancer represents a major health burden and drain on the global healthcare systems. Traditional African medicine widely use a variety of plant species for treatment of different kinds of cancer. A previous systematic survey by traditional healers in the Ashanti region of Ghana revealed a good overview on the plant species and herbal materials used for the different types of cancer. Aims of the study The following study aimed to investigate 18 herbal materials from 10 plant species based on the cancer survey in Ghana regarding potential cytotoxicity against different cancer cell lines under in vitro conditions followed by subsequent bioassay-guided fractionation towards the active principle. Materials and methods Ethanol-water (1:1) extracts were tested (1–100 μg/mL) against a panel of cancer cell lines according to their respective traditional use. Selected extracts with relevant cytotoxicity in this screening were also tested against common pediatric malignancies (leukemias (HL-60, REH) and Ewing sarcoma (RD-ES and CADO-ES1)). Bioassay-guided fractionation of the hydroalcoholic extract from Alstonia boonei was performed by liquid-liquid chromatography and preparative HPLC. Preliminary mechanistic studies on the mode of action were performed by flow cytometric cell cycle analysis as well as apoptosis and necrosis staining. Results Screening of plant extracts revealed relevant cytotoxicity against all tested cancer cell lines for Alstonia boonei leaves and stem of Paulinia pinnata. The A. boonei extract was additionally found to be active against common pediatric tumor types (leukemias and Ewing sarcoma). Bioassay-guided fractionation of the A. boonei extract revealed the presence of 15-hydroxyangustilobine A 1 as the active principle (IC50 26 μM against MCF-7 cells). This is the first report of this compound in A. boonei. 1 was shown to lead to cell cycle arrest in the G2/M-phase (MCF-7 cells), triggering cells at least partially into apoptosis. Conclusion In summary, an appreciable in vitro activity was revealed for the leaf extract from A. boonei and the isolated vallesamine type indole alkaloid 1, which has to be investigated in future studies towards a potential clinical use.

Purpose Dose-optimization strategies for risperidone are gaining in importance, especially in the elderly. Based on the genetic polymorphism of cytochrome P 450 (CYP) 2D6 genetically and age-related changes cause differences in the pharmacokinetics of risperidone and 9-hydroxyrisperidone. The goal of the study was to develop physiologically based pharmacokinetic (PBPK) models for the elderly aged 65+ years. Additionally, CYP2D6 phenotyping using metabolic ratio were applied and different pharmacokinetic parameter for different age classes predicted. Methods Plasma concentrations of risperidone and 9-hydroxyrisperidone were used to phenotype 17 geriatric inpatients treated under naturalistic conditions. For this purpose, PBPK models were developed to examine age-related changes in the pharmacokinetics between CYP2D6 extensive metabolizer, intermediate metabolizer, poor metabolizer, (PM) and ultra-rapid metabolizer. Results PBPK-based metabolic ratio was able to predict different CYP2D6 phenotypes during steady-state. One inpatient was identified as a potential PM, showing a metabolic ratio of 3.39. About 88.2% of all predicted plasma concentrations of the inpatients were within the 2-fold error range. Overall, age-related changes of the pharmacokinetics in the elderly were mainly observed in Cmax and AUC. Comparing a population of young adults with the oldest-old, Cmax of risperidone increased with 24–44% and for 9-hydroxyrisperidone with 35–37%. Conclusions Metabolic ratio combined with PBPK modelling can provide a powerful tool to identify potential CYP2D6 PM during therapeutic drug monitoring. Based on genetic, anatomical and physiological changes during aging, PBPK models ultimately support decision-making regarding dose-optimization strategies to ensure the best therapy for each patient over the age of 65 years.

The objective of this study was to develop a physiologically based pharmacokinetic (PBPK) model for amoxicillin for non-pregnant, pregnant and postpartum populations by compiling a database incorporating reported changes in the anatomy and physiology throughout the postpartum period. A systematic literature search was conducted to collect data on anatomical and physiological changes in postpartum women. Empirical functions were generated describing the observed changes providing the basis for a generic PBPK framework. The fraction unbound ( $${f}_{u}$$ ) of predominantly albumin-bound drugs was predicted in postpartum women and compared with experimentally observed values. Finally, a specific amoxicillin PBPK model was newly developed, verified for non-pregnant populations and translated into the third trimester of pregnancy (29.4–36.9 gestational weeks) and early postpartum period (drug administration 1.5–3.8 h after delivery). Pharmacokinetic predictions were evaluated using published clinical data. The literature search yielded 105 studies with 1092 anatomical and physiological data values on 3742 postpartum women which were used to generate various functions describing the observed trends. The $${f}_{u}$$ could be adequately scaled to postpartum women. The pregnancy PBPK model predicted amoxicillin disposition adequately as did the postpartum PBPK model, although clearance was somewhat underestimated. While more research is needed to establish fully verified postpartum PBPK models, this study provides a repository of anatomical and physiological changes in postpartum women that can be applied to future modeling efforts. Ultimately, structural refinement of the developed postpartum PBPK model could be used to investigate drug transfer to the neonate via breast-feeding in silico.

Medication reviews conducted in community pharmacies are a measure to reduce drug-related problems and to increase medication safety. Since 2014, a guideline for medication reviews has been available in Germany. However, the sole existence of a guideline does not guarantee a high quality of this novel service. Quality indicators can contribute to ensure appropriate quality standards. So far, no such indicators have been available in Germany. This project therefore aims at developing suitable indicators to assess the quality of medication reviews type 2a in community pharmacies.Based on a literature review, potential quality indicators were generated. Using a two-step Delphi method applying the RUMBA criteria, a set of structure, process, and outcome indicators was developed.The literature review identified 23 potential indicators. Nine further indicators derived from the guideline for medication reviews and expert opinion were amended. After discussion in a focus group, the 32 indicators were reduced to a preliminary set of twelve indicators used for the Delphi survey. Following two Delphi rounds, a final indicator set consisting of three structure indicators, one process indicator and two outcome indicators, was generated.The set of quality indicators is potentially suitable for measuring the quality of medication reviews in German community pharmacies. In the next step, these indicators need to be evaluated with regard to their validity and applicability in daily routine.

Background Despite its cardiotoxicity doxorubicin is widely used for the treatment of paediatric malignancies. Current treatment regimens appear to be suboptimal as treatment strategies vary and do not follow a clear pharmacological rationale. Standardisation of dosing strategies in particular for infants and younger children is required but is hampered by scarcely defined exposure-response relationships. The aim is to provide a rational dosing concept allowing for a reduction of variability in systemic therapy intensity and subsequently unforeseen side effects. Methods Doxorubicin plasma concentrations in paediatric cancer patients were simulated for different treatment schedules using a population pharmacokinetic model which considers age-dependent differences in doxorubicin clearance. Overall drug exposure and peak concentrations were assessed. Simulation results were used to support a three round Delphi consensus procedure with the aim to clarify the pharmacological goals of doxorubicin dosing in young children. A group of 28 experts representing paediatric trial groups and clinical centres were invited to participate in this process. Results Pharmacokinetic simulations illustrated the substantial differences in therapy intensity associated with current dosing strategies. Consensus among the panel members was obtained on a standardised a priori dose adaptation that individualises doxorubicin doses based on age and body surface area targeting uniform drug exposure across children treated with the same protocol. Further, a reduction of peak concentrations in very young children by prolonged infusion was recommended. Conclusions An approach to standardise current dose modification schemes in young children is proposed. The consented concept takes individual pharmacokinetic characteristics into account and involves adaptation of both the dose and the infusion duration potentially improving the safety of doxorubicin administration.

Anticancer drugs are good candidates for therapeutic drug monitoring (TDM) because of their high toxicity and documented exposure–response relationship for many anticancer drugs. In contrast to this, a few years ago Peterson concluded that in oncology “…plasma concentration monitoring has not proved to be of value to individualize the treatment…”. However, there are several examples where TDM in oncology has been shown to improve safety, and for some drugs, also efficacy. Examples such as 5-fluorouracil, busulfan, asparaginase, or imatinib are discussed below. It appears that there is a lack of interest of TDM and other pharmacokinetic issues in cancer chemotherapy. There is the perception that in case of toxicity or lack of efficacy switching to another drug is better than checking dose intensity of the drug applied. However, dose individualisation based on drug concentration measurements has been shown to be advantegeous for many anticancer agents.

Background and Objectives: Doxorubicin plays an essential role in the treatment of paediatric cancers. Defining genotypes with a higher risk for developing anthracycline-induced cardiotoxicity could help to reduce cardiotoxicity. Methods: Data originated from a phase II study assessing the pharmacokinetics of doxorubicin in 100 children. Studied patients (0–17 years) were treated for solid tumours or leukaemia. Two cycles of doxorubicin were studied. Concentrations of natriuretic peptides proANP, BNP and NT-proBNP and cardiac troponins T and I were measured at five time points before, during and after two cycles of doxorubicin treatment. Genotypes of 17 genetic polymorphisms in genes encoding for anthracycline metabolizing enzymes and drug transporters were determined for each patient. We analysed the influence of genotypes on cardiac biomarker concentrations at different time points by a Kruskal–Wallis test. To perform a pairwise comparison significant genetic polymorphisms with more than two genotypes were analysed by a post hoc test. Results: The Kruskal–Wallis tests and the post hoc-tests showed a significant association for seven genetic polymorphisms (ABCB1-rs1128503, ABCB1-rs1045642, ABCC1-rs4148350, CBR3-rs8133052, NQO2-in/del, SLC22A16-rs714368 and SLC22A16-rs6907567) with the concentration of at least one biomarker at one or more time points. We could not identify any polymorphism with a consistent effect on any biomarker over the whole treatment period. Conclusions: In this study of patients treated with doxorubicin for different tumour entities, seven genetic polymorphisms possibly influencing the pharmacokinetics and pharmacodynamics of doxorubicin could lead occasionally to differences in the concentration of cardiac biomarkers. Since, the role of cardiac biomarkers for monitoring anthracycline-induced cardiotoxicity has not yet been clarified, further trials with a long follow-up time are required to assess the impact of these genetic polymorphisms on chemotherapy-related cardiotoxicity. Trial registration: EudraCT number: 2009-011454-17. Refereed/Peer-reviewed

The receptor tyrosine kinase (RTK) RON is linked to an aggressive metastatic phenotype of carcinomas. While gaining interest as a therapeutic target, RON remains unstudied in sarcomas. In Ewing sarcoma, we identified RON among RTKs conferring resistance to insulin-like growth factor-1 receptor (IGF1R) targeting. Therefore, we explored RON in pediatric sarcoma cell lines and an embryonic Tg(kdrl:mCherry) zebrafish model, using an shRNA-based approach. To examine RON&ndash, IGF1R crosstalk, we employed the clinical-grade monoclonal antibody IMC-RON8, alone and together with the IGF1R-antibody IMC-A12. RON silencing demonstrated functions in vitro and in vivo, particularly within micrometastatic cellular capacities. Signaling studies revealed a unidirectional IGF1-mediated cross-activation of RON. Yet, IMC-A12 failed to sensitize cells to IMC-RON8, suggesting additional mechanisms of RON activation. Here, RT-PCR revealed that childhood sarcomas express short-form RON, an isoform resistant to antibody-mediated targeting. Interestingly, in contrast to carcinomas, treatment with DNA methyltransferase inhibitor did not diminish but increased short-form RON expression. Thus, this first report supports a role for RON in the metastatic progression of Ewing sarcoma. While principal molecular functions appear transferrable between carcinomas, Ewing sarcoma and possibly more common sarcoma subtypes, RON highlights that specific regulations of cellular networks and isoforms require better understanding to successfully transfer targeting strategies.

Pharmacotherapy in paediatric oncology is a difficult task. It is challenging to determine the optimal dose in children of different age groups. In addition, anticancer drugs display severe side effects reducing the quality of life. Late effects like secondary tumours and cardiotoxicity can be apparent years after treatment and must be taken into account when planning treatment schedules. Classical cytoreducing agents are still of great importance in treating children with leukaemia and solid tumours. In addition, drugs developed by rational drug design (targeted drugs) are a very important part of many treatment protocols, and newer drugs are emerging in several types of cancer. Unfortunately, there is only limited experience with newer drugs in children, because new drugs are mostly developed for adults. Complicated therapy regimens require a solid knowledge of the pharmacology of the drugs applied. This chapter attempts to introduce some pharmacological knowledge for the most important anticancer drugs in children with a focus on side effects and age-specific considerations.

An increasing number of manuscripts focus on the in vitro evaluation of established and novel anti-tumor agents in experimental models. Whilst the design of such in vitro assays is inherently flexible, some of these studies lack the minimum information necessary to critically evaluate their relevance or have been carried out under unsuitable conditions. The use of appropriate and robust methods and experimental design has important implications for generating results that are reliable, relevant, and reproducible. The Pharmacology and Molecular Mechanisms (PAMM) group of the European Organization for Research and Treatment of Cancer (EORTC) is the largest group of academic scientists working on drug development and bundle decades of expertise in this field. This position paper addresses all researchers with an interest in the preclinical and cellular pharmacology of anti-tumor agents and aims at generating basic recommendations for the correct use of compounds to be tested for anti-tumor activity using a range of preclinical cellular models of cancer.