Managing the COVID-19 health crisis: a survey of Swiss hospital pharmacies.

BACKGROUND: The COVID-19 pandemic strained healthcare systems immensely as of 2020. Switzerland's hospital pharmacies' responses during the first wave were surveyed with a view to improving the quality of pharmaceutical management in future health crises. METHODS: An online survey was sent to the heads of all of Switzerland's hospital pharmacies. The questionnaire was organised into eleven sections of questions covering many topics regarding the management of COVID-19's first wave. Data collection occurred from May to June 2020. RESULTS: Analyses were performed using the 43 questionnaires (66%), with at least one answer per questionnaire, out of 65 distributed. Seventeen of 41 pharmacies responding (41%) had existing standard operating procedures or pandemic plans and 95% of these (39/41) set up crisis management steering committees. Twenty-nine of 43 pharmacies responding (67%) created new activities to respond to the pandemic's specific needs. Twenty-six of 39 pharmacies responding (67%) created new drug lists for: COVID-19-specific treatments (85%; 22/26), sedatives (81%; 21/26), anaesthetics (77%; 20/26) and antibiotics (73%; 19/26). Drug availability in designated COVID-19 wards was managed by increasing existing stocks (54%; 22/41 pharmacies) and creating extra storage space (51%; 21/41). Two drugs generated the greatest concern about shortages: propofol (49%; 19/39 pharmacies) and midazolam (44%; 17/39). Remdesivir stocks ran out in 26% of pharmacies (10/39). Twelve of 43 pharmacies (28%) drafted specific new documents to respond to medical needs regarding drug administration, 12 (28%) did so for drug preparation and 10 (23%) did so for treatment choices. CONCLUSIONS: Switzerland's hospital pharmacies encountered many challenges related to the COVID-19 crisis and had to find solutions quickly, effectively and safely. The survey highlighted the key role that hospital pharmacies played in many aspects of the pandemic by providing logistical and clinical support to medical and nursing care teams. The lessons and experiences outlined could be used to improve the quality of hospital pharmacies' readiness for similar future events.

Dosing strategies of imipenem in neonates based on pharmacometric modelling and simulation.

OBJECTIVES: Imipenem is a broad-spectrum antibacterial agent used in critically ill neonates after failure of first-line treatments. Few studies have described imipenem disposition in this population. The objectives of our study were: (i) to characterize imipenem population pharmacokinetics (PK) in a cohort of neonates; and (ii) to conduct model-based simulations to evaluate the performance of six different dosing regimens aiming at optimizing PK target attainment. METHODS: A total of 173 plasma samples from 82 neonates were collected over 15 years at the Lausanne University Hospital, Switzerland. The majority of study subjects were preterm neonates with a median gestational age (GA) of 27 weeks (range: 24-41), a postnatal age (PNA) of 21 days (2-153) and a body weight (BW) of 1.16 kg (0.5-4.1). PK data were analysed using non-linear mixed-effect modelling (NONMEM). RESULTS: A one-compartment model best characterized imipenem disposition. Population PK parameters estimates of CL and volume of distribution were 0.21 L/h and 0.73 L, with an interpatient variability (CV%) of 20.1% on CL in a representative neonate (GA 27 weeks, PNA 21 days, BW 1.16 kg, serum creatinine, SCr 46.6 µmol/L). GA and PNA exhibited the greatest impact on PK parameters, followed by SCr. These covariates explained 36% and 15% of interindividual variability in CL, respectively.Simulated regimens using a dose of 20-25 mg/kg every 6-12 h according to postnatal age led to the highest PTA (T>MIC over 100% of time). CONCLUSIONS: Dosing adjustment according to BW, GA and PNA optimizes imipenem exposure in neonates.

Full-scale simulations to improve disaster preparedness in hospital pharmacies.

PURPOSE: Assess whether full-scale simulation exercises improved hospital pharmacies' disaster preparedness. METHODS: Swiss hospital pharmacies performed successive full-scale simulation exercises at least four months apart. An interprofessional team created two scenarios, each representing credible regional-scale disasters involving approximately fifty casualties (a major road accident and a terrorist attack). Four exercise assessors used appraisal forms to evaluate participants' actions and responses during the simulation (rating them using five-point Likert scales). RESULTS: Four hospital pharmacies performed two full-scale simulation exercises each. Differences between exercises one and two were observed. On average, the four hospitals accomplished 69% ± 6% of the actions expected of them during exercise one. The mean rate of expected actions accomplished increased to 84% ± 7% (p < 0.005) during exercise two. Moreover, the average quality of actions improved from 3.0/5 to 3.6/5 (p = 0.01), and the time required to gather a crisis management team drastically decreased between simulations (from 23 to 5 min). The main challenges were communication (reformulation) and crisis management. Simulation exercise number one resulted in three hospital pharmacies creating disaster action plans and the fourth improving its already existing plan. CONCLUSION: This study highlighted the value of carrying out full-scale disaster simulations for hospital pharmacies as they improved overall institutional preparedness and increased staff awareness. The number of expected actions accomplished increased significantly. In the future, large-scale studies and concept dissemination are warranted.

Therapeutic Drug Monitoring of Targeted Anticancer Protein Kinase Inhibitors in Routine Clinical Use: A Critical Review.

BACKGROUND: Therapeutic response to oral targeted anticancer protein kinase inhibitors (PKIs) varies widely between patients, with insufficient efficacy of some of them and unacceptable adverse reactions of others. There are several possible causes for this heterogeneity, such as pharmacokinetic (PK) variability affecting blood concentrations, fluctuating medication adherence, and constitutional or acquired drug resistance of cancer cells. The appropriate management of oncology patients with PKI treatments thus requires concerted efforts to optimize the utilization of these drug agents, which have probably not yet revealed their full potential. METHODS: An extensive literature review was performed on MEDLINE on the PK, pharmacodynamics, and therapeutic drug monitoring (TDM) of PKIs (up to April 2019). RESULTS: This review provides the criteria for determining PKIs suitable candidates for TDM (eg, availability of analytical methods, observational PK studies, PK-pharmacodynamics relationship analysis, and randomized controlled studies). It reviews the major characteristics and limitations of PKIs, the expected benefits of TDM for cancer patients receiving them, and the prerequisites for the appropriate utilization of TDM. Finally, it discusses various important practical aspects and pitfalls of TDM for supporting better implementation in the field of cancer treatment. CONCLUSIONS: Adaptation of PKIs dosage regimens at the individual patient level, through a rational TDM approach, could prevent oncology patients from being exposed to ineffective or unnecessarily toxic drug concentrations in the era of personalized medicine.

Erlotinib: another candidate for the therapeutic drug monitoring of targeted therapy of cancer? A pharmacokinetic and pharmacodynamic systematic review of literature.

Erlotinib is currently marketed at fixed standard dosage against pancreatic cancer and non-small-cell lung carcinoma. However, erlotinib pharmacokinetics (PK) is characterized by significant variability that may affect efficacy and tolerability. The aim of this review is to assess evidence that would justify therapeutic drug monitoring (TDM) and provide key information for the interpretation of erlotinib plasma concentrations. Literature was systematically reviewed to evaluate the standard criteria defining the potential clinical usefulness of TDM. Assessment was focused on the existence of unpredictable and wide PK variability and of consistent PK-pharmacodynamic relationships. PK parameters actually show marked variability (apparent clearance estimated to 4.85 ± 4.71 L/h, elimination half-life to 21.86 ± 28.35 hours, and apparent volume of distribution to 208 ± 133 L). Many covariates influence these parameters (CYP3A4 inducers or inhibitors, food, age, liver impairment), but most sources of variability still have to be identified. Some studies have demonstrated a relationship between exposure to erlotinib and clinical outcomes or skin toxicity. Erlotinib activity and target concentrations furthermore depend on tumor characteristics (eg, mutations on epidermal growth factor receptor and on K-ras). These results are in favor of TDM in addition to treatment adjustment for tumor biomarkers, but prospective clinical trials validating its clinical benefits are lacking. This review provides all the relevant information available to assist clinical interpretation of erlotinib plasma measurements. PK percentile curves and consideration to covariates yield information on whether a concentration measured is expected, whereas half maximal inhibitory concentration values determined in vitro provide preliminary insights on target concentration values to reach. Eventually, dosage adaptation might be considered in patients with intolerable toxicity because of excessive plasma levels or conversely nonresponse imputable to insufficient exposure.

Population pharmacokinetic study of gentamicin in a large cohort of premature and term neonates.

AIM: This study aims to investigate the clinical and demographic factors influencing gentamicin pharmacokinetics in a large cohort of unselected premature and term newborns and to evaluate optimal regimens in this population. METHODS: All gentamicin concentration data, along with clinical and demographic characteristics, were retrieved from medical charts in a Neonatal Intensive Care Unit over 5 years within the frame of a routine therapeutic drug monitoring programme. Data were described using non-linear mixed-effects regression analysis ( nonmem®). RESULTS: A total of 3039 gentamicin concentrations collected in 994 preterm and 455 term newborns were included in the analysis. A two compartment model best characterized gentamicin disposition. The average parameter estimates, for a median body weight of 2170 g, were clearance (CL) 0.089 l h(-1) (CV 28%), central volume of distribution (Vc ) 0.908 l (CV 18%), intercompartmental clearance (Q) 0.157 l h(-1) and peripheral volume of distribution (Vp ) 0.560 l. Body weight, gestational age and post-natal age positively influenced CL. Dopamine co-administration had a significant negative effect on CL, whereas the influence of indomethacin and furosemide was not significant. Both body weight and gestational age significantly influenced Vc . Model-based simulations confirmed that, compared with term neonates, preterm infants need higher doses, superior to 4 mg kg(-1) , at extended intervals to achieve adequate concentrations. CONCLUSIONS: This observational study conducted in a large cohort of newborns confirms the importance of body weight and gestational age for dosage adjustment. The model will serve to set up dosing recommendations and elaborate a Bayesian tool for dosage individualization based on concentration monitoring.

[Pharmacokinetic alterations in pregnancy and use of therapeutic drug monitoring]. / Médicaments et grossesse : modifications pharmacocinétiques et place du suivi thérapeutique pharmacologique.

Following the thalidomide tragedy, pharmacological research in pregnant women focused primarily on drug safety for the unborn child and remains only limited regarding the efficacy and safety of treatment for the mother. Significant physiological changes during pregnancy may yet affect the pharmacokinetics of drugs and thus compromise its efficacy and/or safety. Therapeutic drug monitoring (TDM) would maximize the potential effectiveness of treatments, while minimizing the potential risk of toxicity for the mother and the fetus. At present, because of the lack of concentration-response relationship studies in pregnant women, TDM can rely only on individual assessment (based on an effective concentration before pregnancy) and remains reserved only to unexpected situations such as signs of toxicity or unexplained inefficiency.

Population Pharmacokinetics in Oncology and Its Clinical Applications.

Most traditional cytotoxic drugs are characterized by steep dose-response relationships and narrow therapeutic windows [...].

Drug interactions with the tyrosine kinase inhibitors imatinib, dasatinib, and nilotinib.

Several cancer treatments are shifting from traditional, time-limited, nonspecific cytotoxic chemotherapy cycles to continuous oral treatment with specific protein-targeted therapies. In this line, imatinib mesylate, a selective tyrosine kinases inhibitor (TKI), has excellent efficacy in the treatment of chronic myeloid leukemia. It has opened the way to the development of additional TKIs against chronic myeloid leukemia, including nilotinib and dasatinib. TKIs are prescribed for prolonged periods, often in patients with comorbidities. Therefore, they are regularly co-administered along with treatments at risk of drug-drug interactions. This aspect has been partially addressed so far, calling for a comprehensive review of the published data. We review here the available evidence and pharmacologic mechanisms of interactions between imatinib, dasatinib, and nilotinib and widely prescribed co-medications, including known inhibitors or inducers of cytochromes P450 or drug transporters. Information is mostly available for imatinib mesylate, well introduced in clinical practice. Several pharmacokinetic aspects yet remain insufficiently investigated for these drugs. Regular updates will be mandatory and so is the prospective reporting of unexpected clinical observations.

Prediction of free imatinib concentrations based on total plasma concentrations in patients with gastrointestinal stromal tumours.

AIM: Total imatinib concentrations are currently measured for the therapeutic drug monitoring of imatinib, whereas only free drug equilibrates with cells for pharmacological action. Due to technical and cost limitations, routine measurement of free concentrations is generally not performed. In this study, free and total imatinib concentrations were measured to establish a model allowing the confident prediction of imatinib free concentrations based on total concentrations and plasma proteins measurements. METHODS: One hundred and fifty total and free plasma concentrations of imatinib were measured in 49 patients with gastrointestinal stromal tumours. A population pharmacokinetic model was built up to characterize mean total and free concentrations with inter-patient and intrapatient variability, while taking into account α1 -acid glycoprotein (AGP) and human serum albumin (HSA) concentrations, in addition to other demographic and environmental covariates. RESULTS: A one compartment model with first order absorption was used to characterize total and free imatinib concentrations. Only AGP influenced imatinib total clearance. Imatinib free concentrations were best predicted using a non-linear binding model to AGP, with a dissociation constant Kd of 319 ng ml(-1) , assuming a 1:1 molar binding ratio. The addition of HSA in the equation did not improve the prediction of imatinib unbound concentrations. CONCLUSION: Although free concentration monitoring is probably more appropriate than total concentrations, it requires an additional ultrafiltration step and sensitive analytical technology, not always available in clinical laboratories. The model proposed might represent a convenient approach to estimate imatinib free concentrations. However, therapeutic ranges for free imatinib concentrations remain to be established before it enters into routine practice.

Systematic review of population pharmacokinetic analyses of imatinib and relationships with treatment outcomes.

Several population pharmacokinetic (PPK) analyses of the anticancer drug imatinib have been performed to investigate different patient populations and covariate effects. The present analysis offers a systematic qualitative and quantitative summary and comparison of those. Its primary objective was to provide useful information for evaluating the expectedness of imatinib plasma concentration measurements in the frame of therapeutic drug monitoring. The secondary objective was to review clinically important concentration-effect relationships to provide help in evaluating the potential suitability of plasma concentration values. Nine PPK models describing total imatinib plasma concentration were identified. Parameter estimates were standardized to common covariate values whenever possible. Predicted median exposure (C min) was derived by simulations and ranged between models from 555 to 1388 ng/mL (grand median: 870 ng/mL and interquartile "reference" range: 520-1390 ng/mL). Covariates of potential clinical importance (up to 30% change in pharmacokinetic predicted by at least 1 model) included body weight, albumin, α1 acid glycoprotein, and white blood cell count. Various other covariates were included but were statistically not significant or seemed clinically less important or physiologically controversial. Concentration-response relationships had more importance below the average reference range and concentration-toxicity relationships above. Therapeutic drug monitoring-guided dosage adjustment seems justified for imatinib, but a formal predictive therapeutic range remains difficult to propose in the absence of prospective target concentration intervention trials. To evaluate the expectedness of a drug concentration measurement in practice, this review allows comparison of the measurement either to the average reference range or to a specific range accounting for individual patient characteristics. For future research, external PPK model validation or meta-model development should be considered.

From Personalized to Precision Medicine in Oncology: A Model-Based Dosing Approach to Optimize Achievement of Imatinib Target Exposure.

Imatinib is a targeted cancer therapy that has significantly improved the care of patients with chronic myeloid leukemia (CML) and gastrointestinal stromal tumor (GIST). However, it has been shown that the recommended dosages of imatinib are associated with trough plasma concentration (Cmin) lower than the target value in many patients. The aims of this study were to design a novel model-based dosing approach for imatinib and to compare the performance of this method with that of other dosing methods. Three target interval dosing (TID) methods were developed based on a previously published PK model to optimize the achievement of a target Cmin interval or minimize underexposure. We compared the performance of those methods to that of traditional model-based target concentration dosing (TCD) as well as fixed-dose regimen using simulated patients (n = 800) as well as real patients' data (n = 85). Both TID and TCD model-based approaches were effective with about 65% of Cmin achieving the target imatinib Cmin interval of 1000-2000 ng/mL in 800 simulated patients and more than 75% using real data. The TID approach could also minimize underexposure. The standard 400 mg/24 h dosage of imatinib was associated with only 29% and 16.5% of target attainment in simulated and real conditions, respectively. Some other fixed-dose regimens performed better but could not minimize over- or underexposure. Model-based, goal-oriented methods can improve initial dosing of imatinib. Combined with subsequent TDM, these approaches are a rational basis for precision dosing of imatinib and other drugs with exposure-response relationships in oncology.

Precision Oncology by Point-of-Care Therapeutic Drug Monitoring and Dosage Adjustment of Conventional Cytotoxic Chemotherapies: A Perspective.

Therapeutic drug monitoring (TDM) of conventional cytotoxic chemotherapies is strongly supported yet poorly implemented in daily practice in hospitals. Analytical methods for the quantification of cytotoxic drugs are instead widely presented in the scientific literature, while the use of these therapeutics is expected to keep going for longer. There are two main issues hindering the implementation of TDM: turnaround time, which is incompatible with the dosage profiles of these drugs, and exposure surrogate marker, namely total area under the curve (AUC). Therefore, this perspective article aims to define the adjustment needed from current to efficient TDM practice for cytotoxics, namely point-of-care (POC) TDM. For real-time dose adjustment, which is required for chemotherapies, such POC TDM is only achievable with analytical methods that match the sensitivity and selectivity of current methods, such as chromatography, as well as model-informed precision dosing platforms to assist the oncologist with dose fine-tuning based on quantification results and targeted intervals.

Monitoring drug therapy.

Drug development has improved over recent decades, with refinements in analytical techniques, population pharmacokinetic-pharmacodynamic (PK-PD) modelling and simulation, and new biomarkers of efficacy and tolerability. Yet this progress has not yielded improvements in individualization of treatment and monitoring, owing to various obstacles: monitoring is complex and demanding, many monitoring procedures have been instituted without critical assessment of the underlying evidence and rationale, controlled clinical trials are sparse, monitoring procedures are poorly validated and both drug manufacturers and regulatory authorities take insufficient account of the importance of monitoring. Drug concentration and effect data should be increasingly collected, analyzed, aggregated and disseminated in forms suitable for prescribers, along with efficient monitoring tools and evidence-based recommendations regarding their best use. PK-PD observations should be collected for both novel and established critical drugs and applied to observational data, in order to establish whether monitoring would be suitable. Methods for aggregating PK-PD data in systematic reviews should be devised. Observational and intervention studies to evaluate monitoring procedures are needed. Miniaturized monitoring tests for delivery at the point of care should be developed and harnessed to closed-loop regulated drug delivery systems. Intelligent devices would enable unprecedented precision in the application of critical treatments, i.e. those with life-saving efficacy, narrow therapeutic margins and high interpatient variability. Pharmaceutical companies, regulatory agencies and academic clinical pharmacologists share the responsibility of leading such developments, in order to ensure that patients obtain the greatest benefit and suffer the least harm from their medicines.

Pharmaceutical Interventions on Hospital Discharge Prescriptions: Prospective Observational Study Highlighting Challenges for Community Pharmacists.

BACKGROUND: Transition between hospital and ambulatory care is a delicate step involving several healthcare professionals and presenting a considerable risk of drug-related problems. OBJECTIVE: To investigate pharmaceutical interventions made on hospital discharge prescriptions by community pharmacists. METHOD: This observational, prospective study took place in 14 community pharmacies around a Swiss acute care hospital. We recruited patients with discharge prescriptions (minimum three drugs) from the internal medicine ward of the hospital. The main outcome measures were: number and type of pharmaceutical interventions made by community pharmacists, time spent on discharge prescriptions, number of medication changes during the transition of care. RESULTS: The study included 64 patients discharged from the hospital. Community pharmacists made a total of 439 interventions; a mean of 6.9 ± 3.5 (range 1-16) interventions per patient. All of the discharge prescriptions required pharmaceutical intervention, and 61 (95%) necessitated a telephone call to the patients' hospital physician for clarifications. The most frequent interventions were: confirming voluntary omission of a drug (31.7%), treatment substitution (20.5%), dose adjustment (16.9%), and substitution for reimbursement issues (8.8%). Roughly half (52%) of all discharge prescriptions required 10-20 min for pharmaceutical validation. The mean number of medication changes per patient was 16.4: 9.6 changes between hospital admission and discharge, 2.6 between hospital discharge and community pharmacy, and 4.2 between community pharmacy and a general practitioner's appointment. CONCLUSION: Hospital discharge prescriptions are complex and present a significant risk of medication errors. Community pharmacists play a key role in preventing and identifying drug-related problems.

Dental erosion: understanding this pervasive condition.

Dental erosion is a contemporary disease, mostly because of the change of the eating patterns that currently exist in society. It is a "silent" and multifactorial disease, and is highly influenced by habits and lifestyles. The prevalence of dental erosion has considerably increased, with this condition currently standing as a great challenge for the clinician, regarding the diagnosis, identification of the etiological factors, prevention, and execution of an adequate treatment. This article presents a dental erosion review and a case report of a restorative treatment of dental erosion lesions using a combination of bonded ceramic overlays to reestablish vertical dimension and composite resin to restore the worn palatal and incisal surfaces of the anterior upper teeth. Adequate function and esthetics can be achieved with this approach.

Emergency and Disaster Preparedness of European Hospital Pharmacists: A Survey.

OBJECTIVE: This study was focused on reviewing the emergency and disaster preparedness of European hospital pharmacists. METHODS: An online survey based on International Pharmaceutical Federation (FIP) guidelines for natural disasters was sent to European hospital pharmacies, with the support of the European Association of Hospital Pharmacists. Additional questions were added about the characteristics of respondents, as well as preparedness and experience of manmade disasters. Descriptive statistics were used to analyze the results. RESULTS: Hospital pharmacists in France (20%) and Spain (19%) returned most of the 306 questionnaires completed in 27 countries. Half of the respondents had analyzed their regional disaster risk, but 65% had never practiced emergency drills. Fifteen percent of respondents had experienced at least 1 major emergency or disaster event in the last 5 years. Fifty-six percent of those respondents who experienced a disaster subsequently created and promoted internal standard operating procedures (SOPs) for future emergencies, versus 23% for those who had not experienced disasters. Among pharmacists having experienced disasters, 40% organized a post-disaster debriefing to improve their future response. CONCLUSIONS: Results highlighted that most European hospital pharmacists were not fully compliant with FIP guidelines. However, respondents who had experienced disasters were more likely to create and promote SOPs for future disasters. Further worldwide analysis and benchmarking are necessary, and FIP guidelines should be more strongly promoted.

Using risk analysis to ensure patients' medication safety during hospital relocations and evacuations.

OBJECTIVES: To ensure patient safety and the preparedness of medication processes during hospital relocations and evacuations by using Failure Modes, Effects, and Criticality Analysis (FMECA). METHODS: The relocation of six regional hospitals to a single building, resulting in 400 beds being moved, could be compared with an emergency evacuation. An FMECA was performed on the hospital group's internal medicine and intensive care units (IMU and ICU), examining how medication processes would be affected by a hospital relocation or evacuation. RESULTS: We identified 59 hospital relocation and 68 evacuation failure modes. Failure modes were ranked based on their criticality index (CI; range 1-810). The higher the CI, the greater the patient-related risk. Average initial IMU and ICU hospital relocation CI scores were 160 (range 105-294) and 201 (range 125-343), respectively, subsequently reduced to 32 (-80%) and 49 (-76%) after mitigation measures. Average initial IMU and ICU evacuation CI scores were 319 (range 245-504) and 592 (range 441-810), respectively, subsequently reduced to 194 (-39%) and 282 (-52%). Most mitigation measures (17/22), such as for example checklists, could be implemented in both situations. Due to their unpredictable nature, five measures were specific to evacuation situations. CONCLUSIONS: This study highlights the value of using an FMECA on medication processes to anticipate potential negative impacts on patient safety during hospital relocations or evacuations. Preparation for a hospital relocation can provide useful knowledge and an opportunity to test mitigation measures that might prove useful in evacuations.

Using risk analysis to anticipate and mitigate failures during a hospital pharmacy relocation.

OBJECTIVES: Documented experiences of relocating hospital pharmacies are rare, but adequate preparation is vital to ensuring smooth pharmacy operation and patient safety. In the autumn of 2019, the Pharmacy of Eastern Vaud Hospitals, composed of four units (Logistics, Manufacturing, Clinical Pharmacy, and Nursing Home Supply), was relocated to a new hospital in just a few days. In this context, a failure modes, effects and criticality analysis (FMECA) was carried out before the relocation in order to anticipate any failure modes likely to affect the pharmacy's missions or patient safety during the move. METHODS: The FMECA was performed by a multidisciplinary team (pharmacists and logisticians) which analysed the complete upcoming process of relocating the pharmacy and its implications. Criticality indices (CIs) were defined based on the matrix developed by Williams et al, which sets a maximum score of 810. Every potential failure mode identified was analysed, and mitigation measures were proposed for each one. RESULTS: The analysis identified 86 potential failures. The mean initial CI calculated for the entire pharmacy relocation was 177 (min 4-max 567), but this was estimated to be reduced to 39 (-78%) after mitigation measures were identified. Within the whole pharmacy, the failures with the highest CIs were identified in the Logistics unit. Among these, the time necessary to transfer the pharmacy's drugs from their traditional alphabetical storage location to their new location using robotic, chaotic storage principles was identified as the riskiest potential failure. Indeed, the rapid availability of emergency medicines would have to be guaranteed at all times. CONCLUSIONS: The present study highlighted the relevance of using an FMECA-type evaluation to anticipate the impact of a hospital pharmacy relocation. This tool enabled pharmacy professionals to structure their potential relocation problems and reflect on mitigation measures in order to provide concerted, realistically applicable solutions before the move.

Elevated acute phase proteins affect pharmacokinetics in COVID-19 trials: Lessons from the CounterCOVID - imatinib study.

This study aimed to determine whether published pharmacokinetic (PK) models can adequately predict the PK profile of imatinib in a new indication, such as coronavirus disease 2019 (COVID-19). Total (bound + unbound) and unbound imatinib plasma concentrations obtained from 134 patients with COVID-19 participating in the CounterCovid study and from an historical dataset of 20 patients with gastrointestinal stromal tumor (GIST) and 85 patients with chronic myeloid leukemia (CML) were compared. Total imatinib area under the concentration time curve (AUC), maximum concentration (Cmax ) and trough concentration (Ctrough ) were 2.32-fold (95% confidence interval [CI] 1.34-3.29), 2.31-fold (95% CI 1.33-3.29), and 2.32-fold (95% CI 1.11-3.53) lower, respectively, for patients with CML/GIST compared with patients with COVID-19, whereas unbound concentrations were comparable among groups. Inclusion of alpha1-acid glycoprotein (AAG) concentrations measured in patients with COVID-19 into a previously published model developed to predict free imatinib concentrations in patients with GIST using total imatinib and plasma AAG concentration measurements (AAG-PK-Model) gave an estimated mean (SD) prediction error (PE) of -20% (31%) for total and -7.0% (56%) for unbound concentrations. Further covariate modeling with this combined dataset showed that in addition to AAG; age, bodyweight, albumin, CRP, and intensive care unit admission were predictive of total imatinib oral clearance. In conclusion, high total and unaltered unbound concentrations of imatinib in COVID-19 compared to CML/GIST were a result of variability in acute phase proteins. This is a textbook example of how failure to take into account differences in plasma protein binding and the unbound fraction when interpreting PK of highly protein bound drugs, such as imatinib, could lead to selection of a dose with suboptimal efficacy in patients with COVID-19.