Aims This randomized controlled pilot study aimed to assess the differences in the frequency, type, and severity of prescribing errors made by medical students when assessed in an electronic prescribing system (EPS) compared to traditional prescribing methods (e.g., writing/typing out a prescription). Methods Fourth year medical students in the period of November 1st to July 31st, 2023, were asked to participate in this single center prospective, randomized, controlled intervention study. Participants performed a prescribing assessment in either an EPS (intervention group) or in a more traditional prescribing platform (control group). The prescriptions were checked for errors, graded, and categorized. Differences in prescribing errors, error categories, and severity were analyzed. Results Out of 334 students, 84 participated in the study. Nearly all participants (98.8%) made one or more prescribing errors, primarily involving inadequate information errors. In the intervention group, more participants made prescribing errors involving the prescribed amount (71.4% vs. 19.0%; P<0.01), but fewer involving administrative errors (2.4% vs. 19.0%; P=0.03). Prescribing-method-specific errors were identified in 4.8% and 40.5% of the intervention and control group, respectively, with significant differences in overlapping errors as well. Conclusions This study shows the importance of training electronic prescribing (e-prescribing) competencies in medical curricula, in addition to traditional prescribing methods. It identifies prescribing-method-specific prescribing errors and emphasizes the need for further research to define e-prescribing competencies. Additionally, the need for an accessible real-life-like e-prescribing environment tailored to educators and students is essential for effective learning and incorporation of e-prescribing into medical curricula.

A document by Dhrita Khatri. Click on the document to view its contents.

Clinical pharmacists are health care practitioners who have advanced education and training in comprehensive medication management. Clinical pharmacists participate in the management of specific medications or individual disease states and collaborate with other health care team. Despite the clinical pharmacist participate in healthcare team, there are several cases of challenge in the interprofessional relationship with other healthcare team especially related drug management. The role of clinical pharmacists could be improved by increasing interprofessional communication between doctors and clinical pharmacist in the healthcare system. Previous studies reported that physicians were comfortable with pharmacists detecting and preventing prescription errors, but were uncomfortable with them recommending drug therapy to patients. Acceptance of pharmacists' suggestions by prescribers is a necessary component of the evaluation of clinical pharmacy services.

The aims of the current review were to identify, in the context of people with acquired communication disorders: factors which influence medication adherence, current interventions targeting medication adherence, and how medication adherence is currently measured. This study was conducted and reported in accordance with both PRISMA and SWiM guidelines. Two authors independently screened the results of a literature search, assessed risk of bias, and extracted relevant data. Eight studies were identified for inclusion. Four of the studies presented information relating to current interventions which target medication adherence for people with acquired communication disorders. Four of the studies investigated factors which influence medication adherence for people with acquired communication disorders. Seven of these eight studies outlined methods used for measuring medication adherence. The results of this review indicate that patient related factors are most associated with medication non-adherence in a population with acquired communication disorders, followed by socio-economic factors and medication-related factors. Despite the recognised importance of medication adherence, no gold standard of assessment or intervention currently exist for this population. Half of the included studies replaced patients with communication difficulties with caregiver proxies, thus reducing opportunities for patients to participate meaningfully in research. The term “acquired communication disorders” encompasses a range of conditions with diverse aetiologies, presentations, and needs, and future research should be tailored to specific patient groups most at risk of medication non-adherence, namely those with aphasia and cognitive-communication impairments. Patients should be empowered to participate in future research to ensure the literature accurately represents their lived experience.

The C-reactive protein (CRP) can guide the antibiotic prescription for infectious diseases which are likely viral. We identified all patients, aged 15 years or older, being registered in the database between January, 1, 2000 and December, 31, 2019 and newly diagnosed with upper respiratory tract infections (URTIs), COPD- or asthma-related exacerbations. From the date of these diagnoses, patients were followed up until occurrence of antibiotic prescription (for these indications) up to December 31, 2019. The association between the prescription of CRP and the outcome was investigated using a nested case-control analysis. In a cohort of 469,684 patients being diagnosed for URTI (83%), COPD- (11%) and asthma (7%)-related exacerbations, 28688 (6.11%) were prescribed with antibiotics because of the aforementioned indications. Of note, 98% of cases were not tested with CRP. Those receiving antibiotics showed a greater propensity to be previously tested for CRP than related controls. Our findings indicate that most of the antibiotic prescriptions for the investigated conditions did not report prior evaluation of CRP values. Nevertheless, it seems that some GPs properly used CRP before deciding for an antibiotic therapy. Further information and incentives in using CRP test should be therefore sustained in primary care.

Aim: The pharmacokinetics of doravirine have been studied in clinical trials, but not in real-world settings. Our study aims to characterize and identify factors influencing doravirine pharmacokinetics (a CYP3A4 substrate) in real-world people with HIV (PWH). Methods: A total of 174 doravirine concentrations measured in 146 PWH followed up in the therapeutic drug monitoring (TDM) program at the University Hospital of Lausanne (Switzerland) between 2019 and 2023 were included in the analysis. Population pharmacokinetic analysis and Monte Carlo simulations to investigate the clinical significance of the covariates retained in the final model were performed using NONMEM. Results: A one-compartment model with first-order absorption and linear elimination best described doravirine pharmacokinetics. Potent CYP3A4 inhibitors and, to a lesser extent age, were the only tested covariates to significantly impact doravirine clearance (CL). Potent CYP3A4 reduced CL by 50%, and a 30% decrease in CL was observed in an 80-year-old compared to a 55-year-old PWH. The effect of potent CYP3A4 inhibitors was prominent, explaining 59% of between-subject variability in CL. Model-based simulations predicted 2.8-fold and 1.6-fold increases in median steady-state trough and maximum doravirine concentrations, respectively, when a potent CYP3A4 inhibitor was co-administered. Conclusion: Our findings show that potent CYP3A4 inhibitors and age influence doravirine pharmacokinetics. However, given the good tolerability of doravirine, dosing adjustment of doravirine is probably not mandatory in those situations. TDM remains useful essentially in specific clinical situations, such as hepatic impairment, suspected non-adherence or pregnancy.

Aim: To measure the prevalence of polypharmacy and describe the prescribing of potentially inappropriate medication (PIM) in older people with polypharmacy in primary care. Methods: A multi-country retrospective cohort study across six countries: Belgium, France, Germany, Italy, Spain, UK. We used anonymized longitudinal patient level information from general practice databases hosted by IQVIA. Patients ≥65 years were included. Polypharmacy was defined as having 5-9, and ≥10 distinct drug classes (ATC Level 3) prescribed during a 6-month period. PIM defined: opioids, antipsychotics, proton pump inhibitors (PPI), benzodiazepines (ATC Level 5). We included country experts on the health care context to interpret findings. Results: Age and gender distribution was similar across the six countries (mean age 75-76 years; 54-56% female). The prevalence of polypharmacy of 5-9 drugs was 22.8% (UK) to 58.3% (Germany); ≥10 drugs from 11.3% (UK) to 28.5% (Germany). In the polypharmacy population prescribed ≥5 drugs, opioid prescribing ranged from 11.5% (France) to 27.5% (Spain). Prescribing of PPI was highest with almost half of patients receiving a PPI, 42.3% (Germany) to 65.5% (Spain). Benzodiazepine prescribing showed a marked variation between countries, 2.7% (UK) to 34.9% (Spain). The health care context information explained possible underreporting for PIM. Conclusion: We have found a high prevalence of polypharmacy with more than half of the older population being prescribed ≥5 drugs in four of the six countries. Whilst polypharmacy may be appropriate in many patients, worrying high usage of PIM (PPIs and benzodiazepines) supports current efforts to improve polypharmacy management across Europe.

Infants bear a significant malaria burden but are usually excluded from participating in early dose optimisation studies that inform dosing regimens of antimalarial therapy. Unlike older children, infants’ exclusion from early-phase trials has resulted in limited evidence to guide accurate dosing of antimalarial treatment for uncomplicated malaria or malaria preventive treatment in this vulnerable population. Subsequently, doses used in infants are often extrapolated from older children or adults, with the potential for under or overdosing. Population pharmacokinetic-pharmacodynamic (PK-PD) modelling, a quantitative methodology that applies mathematical and statistical techniques, can aid the design of clinical studies in infants that collect sparse pharmacokinetic data as well as support the analysis of such data to derive optimised antimalarial dosing in this complex and at-risk yet understudied subpopulation. In this review, we reflect on what PK-PD modelling can do in programmatic settings of most malaria-endemic areas and how it can be used to inform antimalarial dose optimisation for preventive and curative treatment of uncomplicated malaria in infants. We outline key developmental physiological changes that affect drug exposure in early life, the challenges of conducting dose optimisation studies in infants, and examples of how PK-PD modelling has previously informed antimalarial dose optimisation in this subgroup. Additionally, we have discussed the limitations and gaps of PK-PD modelling when used for dose optimisation in infants and best practices for using population PK-PD methods in this subgroup.

A reexamination of clinical principles of long-term opioid therapy (LTOT) for chronic pain is long overdue amid the ongoing opioid crisis. Most patients on LTOT report ineffectiveness (poor pain control, function, and health), but still find deprescribing challenging. Although prescribed as analgesics, opioids more likely provide pain relief primarily through reward system actions (enhanced relief and motivation) and placebo effect and less through anti-nociceptive effects. The unavoidable physiologic LTOT dependence can automatically lead to a paradoxical worsening of pain, disability, and medical instability (maladaptive opioid dependence) without addiction due to allostatic opponent neuroadaptations involving reward/anti-reward and nociceptive/anti-nociceptive systems. This opioid induced chronic pain syndrome (OICP) can persist/progress whether LTOT dose is maintained at the same level, increased, decreased, or discontinued. Current conceptualization of LTOT as a straightforward long-term analgesic therapy appears incongruous in view of the complex mechanisms of opioid action, LTOT dependence and OICP. LTOT can be more appropriately conceptualized as therapeutic induction and maintenance of an adaptive LTOT dependence for functional improvement irrespective of analgesic benefits. Adaptive LTOT dependence should be ideally used for a limited time to achieve maximum functional recovery and deprescribed while maintaining functional gains. Patients on LTOT should be regularly reevaluated to identify if maladaptive LTOT dependence with OICP has diminished any functional gains or lead to ineffectiveness. Ineffective LTOT (with maladaptive LTOT dependence) should be modified to make it safer and more effective. An adequately functional life without opioids is the ideal healthy long-term goal for both LTOT initiation and LTOT modification.

Aims: To evaluate the effect of the combination of carotegrast methyl with rifampicin, a potent inhibitor of organic anion transporter polypeptide, on the pharmacokinetics (PK), safety and tolerability. Methods: In this 2 x 2 crossover study in 20 healthy Japanese adults, 10 subjects received carotegrast methyl 960 mg and rifampicin 600 mg on day 1, and received carotegrast methyl 960 mg on day 8. The subjects in the other sequence received the same treatments but in the opposite order. When the 90% confidence interval (CI) of the geometric mean ratio of the AUC0-t and Cmax for carotegrast, the main active metabolite of carotegrast methyl, with/without rifampicin fell within the range of 0.80 – 1.25, it was deemed that no PK interaction occurred. Adverse events (AEs) were monitored. Results: The Cmax and AUC0-t for carotegrast with/without rifampicin was 11724.5 ± 6097.6 vs 2620.1 ± 1843.0 ng mL-1, and 55046.0 ± 23427.8 vs 9849.9 ± 4580.6 ng h mL-1, respectively. The ratios (90% CI) of the Cmax and AUC0-t with/without rifampicin were 4.78 (3.64 – 6.29) and 5.59 (4.60 – 6.79), respectively, indicating carotegrast has a PK interaction with rifampicin. The combination with rifampicin also increased the exposure of carotegrast and its metabolites. The incidence of any AEs with/without rifampicin was five (25.0%) and one (5.0%), respectively. Conclusion: Coadministration of carotegrast methyl with rifampicin significantly increased exposure of carotegrast compared with carotegrast methyl administration alone. However, no increase in the incidence of adverse drug reactions due to coadministration with rifampicin was observed.

Aims: To evaluate drug-drug interactions between carotegrast methyl, a CYP3A4 inhibitor, and other CYP3A4 substrates, midazolam, atorvastatin, and prednisolone. Methods: A total of 88 healthy volunteers orally received carotegrast methyl 960 mg three times daily for 14 days. A single oral (5 mg) or intravenous (0.017 mg kg-1) midazolam, oral (5 mg) prednisolone, or oral (10 mg) atorvastatin was administered before, with, and after carotegrast methyl treatment. When the 90% confidence interval (CI) for the geometric mean ratios of the pharmacokinetic (PK) parameters with coadministration with carotegrast methyl (day 14) to those before carotegrast methyl administration was between 0.80 and 1.25, no PK interaction were deemed. Results: The Cmax and AUC0-t of oral midazolam before administration of carotegrast methyl was 30.9 ± 9.8 ng mL-1 and 74.5 ± 21.9 ng h mL-1, respectively. The geometric mean ratio of the Cmax and AUC0-t of midazolam on day 14 to those on day -1 was 1.86 (90% CI, 1.64 – 2.11) and 3.07 (90% CI, 2.81 – 3.35), which did not fall within the range of 0.80 – 1.25, suggesting that carotegrast methyl had a PK interaction with midazolam. Similar PK interactions were found for intravenous midazolam and atorvastatin, but not for prednisolone. The inhibitory effect of carotegrast methyl on CYP3A4-mediated metabolism of midazolam and atorvastatin had almost disappeared by 14 days after the end of administration. Conclusion: Carotegrast methyl was classified as a moderate CYP3A4 inhibitor in humans. Carotegrast methyl might enhance the action of drugs that are metabolized by CYP3A4.

Aim The reference nutrient intake for vitamin D in people aged ≥4 years is 10 μg/day (400 IU/day) in the UK, but the recommended daily allowance is 15 μg/day (600 IU/day) for people aged 1-70 years in the US. Here, we aim to compare the 25-hydroxyvitamin D3 (25(OH)D3) serum concentration profiles between the two doses. Methods With adult trial data, we constructed a physiologically based pharmacokinetics (PBPK) model of serum concentrations of vitamin D3 and 25(OH)D3 using nonlinear mixed effects (NLME) modelling. We used this model to forecast the mean, 5% and 95% percentiles for serum 25(OH)D3 concentrations. Results Our final model uses bodyweight to adjust volume of each compartment and maximum clearance of 25(OH)D. No other covariate was identified. The model accurately predicted data from trials of a broad range of dose regimens. We simulated subjects of the average UK male and female weights with baseline 25(OH)D < 25 nmol/L. Simulation suggests circulating 25(OH)D concentrations in >5% of men and women taking 10 μg/day for a year might fail to reach 50 nmol/L, while those on 15 μg/day were predicted to attain this threshold. Conclusion The two doses generate significant difference in serum 25(OH)D3 concentrations. This needs to be considered for choosing the right dose for the public health guideline.

A middle-aged Caucasian man presented with a six-month history of bilateral enlargement of the breasts associated with pain. His hormonal profile was normal and no other underlying cause was identified, we diagnosed him with idiopathic gynecomastia. He is living with HIV, clinically stable (viral load <20copies/mL) and on injectable antiretrovirals cabotegravir/rilpivirine. Tamoxifen is an anti-estrogen recommended for gynecomastia and has been described in persons living with HIV. In this case, tamoxifen could potentially induce the activity of cytochrome P450 3A4 (CYP3A4), reducing rilpivirine concentrations, which consequently may cause virological failure. According to the National Health Service (NHS) guidelines in the UK, an aromatase inhibitor can be used in place of tamoxifen. To date, there have been no reported cases of using anastrozole as a treatment for gynecomastia in people living with HIV, or of its co-administration with antiretrovirals.

Aim: As the non-vitamin K antagonist oral anticoagulant (NOAC) most recently approved in China, data pertaining to clinical edoxaban use are still scarce. This study investigated the prevalence of and contemporary trends in edoxaban prescription among Chinese patients as well as factors associated with its inappropriate use in a multi-center registry of patients treated in real-world clinical practice. Methods: This real-world, prospective, multicenter, and non-interventional study included 1005 inpatients treated with edoxaban. According to National Medical Products Administration and European Heart Rhythm Association guidelines, edoxaban therapy was determined to be appropriate or inappropriate in each case. Results: The median patient age was 70.0 years (interquartile range, 61.0–78.0 years), and 46.3% were women. Overall, 456 (45.4%) patients received inappropriate edoxaban therapy, and common issues included an inappropriately low (183, 18.2%) or high (73, 7.3%) dosage, wrong drug selection (109, 10.8%), unreasonable off-label use (49, 4.9%), incorrect administration timing (16, 1.6%), and contraindication due to other medications (27, 2.7%). Several factors (e.g., age, weight, kidney function, anemia, and bleeding history) were associated with an increased risk of inappropriate edoxaban therapy, whereas factors associated with cardiovascular specialties (e.g., hospitalized in cardiovascular department and dronedarone or amiodarone use) decreased this risk. Conclusion: In this real-world study, 45.4% of patients received an inappropriate treatment with edoxaban. Multiple clinical characteristics can help identify patients who should receive edoxaban. Further development and implantation of educational activities and management strategies are needed to ensure the correct use of edoxaban.

Artificial intelligence (AI) will impact many aspects of clinical pharmacology including drug discovery and development, clinical trials, personalised medicine, pharmacogenomics, pharmacovigilance and clinical toxicology. The rapid progress of AI in healthcare means clinical pharmacologists should have an understanding of AI and its implementation into clinical practice. As with any new therapy or health technology, it is imperative that AI tools are subject to robust and stringent evaluation to ensure that they enhance clinical practice in a safe and equitable manner. This review serves as an introduction to AI for the clinical pharmacologist, highlighting current applications, aspects of model development and issues surrounding evaluation and deployment. The aim of this article is to empower clinical pharmacologists to embrace and lead on the safe and effective use of AI within healthcare.

Aim: The influence of human factors on safety in healthcare settings is well established, with targeted interventions reducing risk and enhancing team performance. In experimental and early phase clinical research participant safety is paramount and safeguarded by guidelines, protocolised care and staff training, however the real-world interaction and implementation of these risk-mitigating measures has never been subjected to formal system-based assessment. Methods: Independent structured observations, systematic review of study documents, and interviews and focus groups were used to collate data on three key tasks undertaken in a Clinical Research Facilty (CRF) during a SARS CoV-2 controlled human infection model (CHIM) study. The Systems Engineering Initiative for Patient Safety (SEIPS) was employed to analyse and categorise findings, and develop recommendations for safety interventions. Results: High levels of team functioning and a clear focus on participant safety were evident throughout the study. Despite this, latent risks in both study-specific and CRF work systems were identified in all four SEIPS domains (people, environment, tasks and tools). 14 actionable recommendations were generated collaboratively. These included inter-organisation and inter-study standardisation, optimised checklists for safety critical tasks, and use of simulation for team training and exploration of work systems. Conclusion: This pioneering application of human factors techniques to analyse work systems during the conduct of research in a CRF revealed risks unidentified by routine review and appraisal, and despite international guideline adherence. SEIPS may aid categorisation of system problems and the formulation of recommendations that reduce risk and mitigate potential harm applicable across a trials portfolio

Space medicine has developed controlled terrestrial models to investigate the impacts on human health and performance, and their application should be expanded to encompass disease conditions involving hypoxia and other factors, in order to make valuable contributions to clinical drug development. Hypoxia, a condition in which the body is deprived of adequate oxygen supply, profoundly affects human physiology at multiple levels and contributes to the pathogenesis of various diseases. Experimental exposure to hypoxic conditions has gained recognition as a valuable model for studying diseases like pulmonary hypertension, chronic obstructive pulmonary disease (COPD), obstructive sleep apnea (OSA), migraine, and kidney disease. The approach may be particularly useful in mechanism-oriented early-stage clinical studies. This review will discuss the ability to mimic or induce these conditions in a controlled laboratory setting using hypoxia, making it a valuable tool for testing the efficacy and safety of new pharmaceutical interventions.

Objective: Metamizole is quite an old drug with analgesic, antipyretic and spasmolytic properties. Recent findings have shown that it may induce several cytochrome P450 enzymes, especially CYP3A4 and CYP2B6. The clinical relevance of these properties is uncertain. We aimed to unravel potential pharmacokinetic interactions between metamizole and the CYP3A4 substrate quetiapine. Methods: Plasma concentrations of quetiapine from a large therapeutic drug monitoring database were analyzed. Two groups of 33 patients, either receiving quetiapine as a monotherapy (without CYP modulating co-medications) or with concomitantly applied metamizole were compared addressing a potential impact of metamizole on the metabolism of quetiapine being reflected in differences of plasma concentrations of quetiapine and dose-adjusted plasma concentrations (C/D). Results: Patients co-medicated with metamizole showed significantly lower plasma concentrations of quetiapine (median 45.2 ng/mL, Q1=15.5; Q3=90.5 vs. 92.0 ng/mL, Q1=52.3; Q3=203.8, p=0.003). Accordingly, plasma concentrations of quetiapine in the control group were more than twice of those in the metamizole group (+103% higher). The dose-adjusted plasma concentrations were 69 % lower in the co-medication group (p=0.001). Conclusions: The combination of metamizole and quetiapine leads to significantly lower drug concentrations of quetiapine, most likely via an induction of cytochrome P450 CYP3A4 by metamizole. Clinicians have to consider the risk of adverse drug reactions, especially treatment failure under quetiapine when adding metamizole.