British Journal of Clinical Pharmacology

Background The use of oral retinoids and valproate during pregnancy can cause birth defects. In 2018, the EMA revised Pregnancy Prevention Programs (PPPs) for these medications. Pharmacy technicians in Denmark dispense prescription medications and must counsel customers. Aims This study aimed to examine knowledge of the teratogenicity of oral retinoids and valproate and use of the relevant PPPs among pharmacy technicians in Denmark. Methods A cross-sectional survey was conducted in spring 2025 using questionnaires developed for and tested in an international project. Data was collected via relevant Facebook groups and email invitations. Descriptive statistics were used for analyses. Results For oral retinoids, 80 respondents were analyzed; 95% were women, 86% were pharmacy technicians, the mean age was 37.2 years. Most dispensed oral retinoids several times per month. Two respondents did not know retinoids were teratogenic. The most used PPP measure was the outer packaging warning (54%). Informing women about teratogenic effects was the most common practice. For valproate, 41 respondents were analyzed. Their characteristics were similar to those of respondents in the oral retinoid survey. Most dispensed valproate once per month. One-third did not know valproate was teratogenic. The outer packaging warning was used by 19%. The most common practice was referring to the prescribing physician if pregnancy was suspected. Conclusion Danish pharmacy technicians knowledge about teratogenic drugs and the PPP was poorer than that of pharmacists, especially regarding valproate, and requires attention in educational programs. The feasibility of PPP measures for both oral retinoids and valproate should be optimized.

BackgroundCardiovascular disease (CVD) risk is managed in primary care using lipid-lowering therapies (LLTs) and antihypertensives (AHTs) for primary (no prior CVD) or secondary (with prior CVD) prevention, but patients may discontinue treatment. Little synthesised real-world data for LLT/AHT discontinuation exists. MethodsWe systematically reviewed English language reports of observational studies from PubMed, EMBASE, Web of Science, and CINAHL published from 2010-2025 describing discontinuation/restarting prevalence for first-to-third line LLTs/AHTs used for CVD prevention in primary care (PROSPERO: CRD420250599340). Data were extracted on discontinuation/restarting prevalences and associations between discontinuation and sociodemographic factors. FindingsOf 5,756 records, 31 (16 LLT; 15 AHT) reports were included representing 9,146,252 patients. Risk of bias was generally low except for two papers with substantial risk of bias from unmeasured confounding. LLT median (IQR) discontinuation and restarting prevalences were 43% (38%; 54%) and 43% (22%; 64%), respectively. AHT discontinuation and restarting prevalences were 41% (30%; 49%) and 28%, respectively. Discontinuation/restarting prevalence depended on discontinuation definition and indication. Patients aged around 65 years old were less likely to discontinue than younger or older patients, for both LLTs and AHTs. Women discontinued LLTs more often irrespective of indication; men discontinued AHTs more often for primary prevention. Income-based socioeconomic position (SEP) measures were associated with discontinuation, but composite SEP measures were not. Minority ethnic groups were more likely to discontinue LLTs and AHTs. InterpretationThis systematic review of real-world data identified discontinuation inequities in first-to-third line LLTs and AHTs based on age, sex, and ethnicity. Awareness of these patterns and additional research into patient-level drivers of drug discontinuation could improve health equity by addressing LLT/AHT discontinuation in the highest-risk patients. FundingThis work was funded by the NIHR UCLH BRC. No funders had any role in data collection, analysis, manuscript preparation, or the decision to publish. Research in contextWe searched PubMed for reviews, systematic reviews, and meta-analyses examining associations between age, sex, socioeconomic position, ethnicity (search string: "sociodemograph*" OR "age" OR "sex" OR "socioeconomic status" OR "socioeconomic position" OR "ethnic*" OR "race" OR "racial" OR "Asian*" OR "India*" OR "Pakistan*" OR "Bangladesh*" OR "Black" OR "African" OR "Afro*") and discontinuation (search string: persist* or discontinu* or stop*) of antihypertensives/lipid-lowering drugs (search string: "anti$hypertensive" OR "blood*pressure lowering" OR "ACE inhibitor" OR "angiotensin receptor blocker" OR "calcium channel blocker" OR "thiazide-like diuretic" OR "thiazide diuretic" OR "lipid*lowering" OR "lipid*reducing" OR "statin" OR "HMG-CoA reductase inhibitors" OR "proprotein convertase subtilisin/kexin type 9" OR "PCSK9 inhibitor"). We did not restrict reports by date or language. Of 711 results, one relevant article was found. Two more relevant articles were found in the searches performed for this systematic review. One 2017 systematic review of twenty-two real-world studies found that for nineteen studies with a dichotomous discontinuation outcome, 16% to 93% of patients discontinued statins across follow-up time of 0 days (cross-sectional studies) to median 4.1 years follow-up. The authors did not report on the proportion of patients discontinuing by sociodemographic group. A 2018 systematic review and meta-analysis of RCTs and real-world data found that for patients aged [≥]65, lower income was associated with discontinuation across seven studies (odds ratio [95% confidence interval] 1{middle dot}20 [1{middle dot}06 to 1{middle dot}36]), though the degree of heterogeneity in the studies used for meta-analysis was high (I2 = 0.89). Female gender (1{middle dot}03 [0{middle dot}98 to 1{middle dot}09]) was not associated with statin discontinuation, and there was a trend towards an association between Black/non-White race and discontinuation (1{middle dot}57 [0{middle dot}92-2.68]). A 2024 systematic review of 52 RCTs and real-world studies found that the prevalence of statin discontinuation ranged from 0.8% to 70.5%, and was higher for primary prevention, and that male sex and non-White ethnicity were associated with statin discontinuation. Our search found no prior systematic reviews or meta-analyses describing differences in discontinuation of AHTs by age, sex, SEP or ethnicity. Added value of this studyThis study is the first systematic review of sociodemographic factors influencing antihypertensive discontinuation in primary care, and complements the findings described above with new evidence on statin discontinuation in real-world settings. With respect to statins and/or ezetimibe, we found that younger (below 60) and older (above 75) patients were more likely to discontinue statins, for both primary and secondary prevention. Female sex was associated with a small but consistent increase in statin discontinuation across our included studies. Individual income appeared to associate with statin discontinuation, but not composite SEP measures such as the Indices of Multiple Deprivation. For antihypertensives, we found that younger and older patients were more likely to discontinue for both primary and secondary prevention, with discontinuation at its lowest around 70 years. Male sex was associated with a small but consistent increase in discontinuation in primary prevention but was associated with marginally reduced discontinuation in a larger study of patients using AHTs for mixed prevention. Lower individual income appeared to positively associate with antihypertensive discontinuation, but composite SEP measures did not. In all studies reporting ethnic differences in discontinuation, non-majority ethnic groups were consistently more prone to discontinuation. Implications of all the available evidenceNon-persistence rates for lipid-lowering medications and antihypertensives are considerable and constitute a possible avenue to reduce CVD. In the first comprehensive evidence synthesis across socio-demographic groups, we show discontinuation rates in real-world settings differ across groups, which may contribute to existing health inequities. For statins, it is unclear how sex associates with discontinuation, given the inconsistency of results across different systematic reviews and meta-analyses. Low income and minority ethnic group membership are associated with statin discontinuation. Our findings suggest that commonly used AHTs are discontinued more often in men than in women, in the youngest and oldest patients, and in minority ethnic groups. Lower individual income may associate with statin discontinuation, but belonging to a lower SEP group such those derived from the Indices of Multiple Deprivation was not associated with statin discontinuation. Future research efforts should address the intersectionality in these patterns, to ascertain whether sociodemographic disadvantages combine to drive higher discontinuation rates in specific patient subgroups. Data on discontinuation by the type of LLT/AHT used (e.g. angiotensin-converting enzyme inhibitor versus for AHTs) should also be collated. Causes for antihypertensive/lipid-lowering medication discontinuation should be investigated using qualitative methods to ascertain reasons for discontinuation in patient groups directly, utilising underrepresented patient populations where possible. Data from such qualitative studies may inform future interventions to reduce discontinuation in the most at-risk patient groups. Clinicians should heighten efforts to maintain or reinitiate therapy in those prone to lipid-lowering therapy and antihypertensive discontinuation, assuming no clinical contraindications.

BACKGROUNDSotalol loading intravenously enables achieving blood levels of sotalol that are observed at maximal steady-state concentration (Cmax ss) in one-day permitting the measurement of maximum QTc effects. Rapid evaluation of the QTc effects permits determination of arrhythmic risk and thus permits discharge in 24-hours instead of the usual three-day oral load hospitalization. Given the expense of IV Sotalol an oral loading test strategy is presented that also achieves Cmax ss blood levels rapidly, permitting a one-day hospitalization for QTc evaluation. METHODPharmacokinetic parameters referred to in the literature derived from normals as well as patients was utilized for population pharmacokinetic modeling and simulation.to obtain the Cmax ss concentrations for patients with normal renal function, creatinine clearance (CrCl) > 90 ml/min), as well as for patients with a CrCl of 60-89, 30-59, and 10-29 ml/min). Using pharmacokinetic simulations, an oral loading dose, as well as a second oral dose were determined that would reach the estimated Cmax ss in each of the groups based on renal function. RESULTSFor target dosing of 120 mg oral sotalol BID in patients with a CrCl >90 ml/min an oral loading dose of 200 mg provides a peak sotalol level of 1,420 ng/ml in 3-4 hours post dosing. The Cmax ss target is 1,299 ng/ml resulting in a 9% overshoot. The Cmax ss concentration provides a means of evaluating QTc effects within 24-hours. Oral loading regimens are described for varying additional renal function levels (CrCl 60-90, 30-59 and 10-29 ml/min) along with the time to first oral dose and follow-up dosing. The initial test dose can be based on an 80 or 120 mg oral sotalol maintenance dosing strategy. CONCLUSIONSEmploying an oral loading strategy may permit QTc evaluation and one-day discharge, preserving the pharmacoeconomic advantage of a Cmax ss test strategy. Clinical PerspectiveO_ST_ABSWhat is Known?C_ST_ABSO_LIIntravenously loading of sotalol enables achieving blood levels that are observed at maximal steady-state concentration (Cmax ss) in one-day permitting the measurement of maximum QTc effects. C_LIO_LIRapid evaluation of the QTc effects permits determination of arrhythmic risk and thus permits discharge in 24-hours instead of the usual three-day oral load hospitalization C_LI What the Study AddsO_LIWith oral sotalol loading, the Cmax ss can also be achieved in one-day permitting the measurement of maximum QTc effects and discharge from the hospital in 24-hours instead of the usual three-day inpatient initiation of oral sotalol. C_LI

Background: Mocravimod is an oral sphingosine-1-phosphate (S1P) receptor modulator. This Phase 1 multiple-ascending-dose study evaluated its safety, tolerability, pharmacokinetics (PK), and pharmacodynamics (PD) in healthy volunteers. Methods: In this double-blind, randomized, placebo-controlled, parallel-group trial, 60 healthy male volunteers were enrolled in five cohorts. Mocravimod was administered once daily at 0.3, 0.6, 1.2, or 3.0 mg for 14 days, or at 2.0 mg for 28 days. Safety assessments included adverse events (AEs), laboratory tests, vital signs, electrocardiography, and Holter monitoring. PK of mocravimod and its active metabolite, mocravimod-phosphate, and PD effects on absolute lymphocyte count (ALC) and leukocyte subsets were assessed. Results: Fifty-nine of 60 participants completed the study. One participant in the 3.0 mg cohort discontinued treatment because of asymptomatic transaminase elevation. No deaths or serious AEs occurred. AEs were mostly mild or moderate, transient, and showed no clear dose relationship. Mocravimod produced dose-dependent reductions in ALC from 0.6 mg onward, with maximum geometric mean reductions of 65%, 74%, 83%, and 77% at 0.6, 1.2, 2.0, and 3.0 mg, respectively. ALC values recovered to above the lower limit of normal during follow-up in all cohorts. Holter monitoring showed an initial placebo-corrected reduction in heart rate of approximately 10-15 beats/min at doses of 1.2-3.0 mg, which attenuated with continued dosing. One participant in the 3.0 mg cohort had a recurrent daytime second-degree atrioventricular block (Mobitz I/Wenckebach), reported as a mild non-dose-limiting AE. No QT prolongation was observed. Exposure to mocravimod and mocravimod-phosphate increased approximately dose-proportionally. Steady state was reached by Day 14 (Day 28 in the 2.0 mg cohort), accumulation was approximately five- to sevenfold, terminal half-lives were approximately 100-40 hours for both analytes, and parent-to-metabolite exposure ratios were close to 1. Conclusions: Once-daily mocravimod up to 3.0 mg for 14 days and 2.0 mg for 28 days was generally well tolerated and showed predictable S1P-modulator class effects on lymphocyte counts and heart rate, with PK properties supporting once-daily dosing and further clinical development.

Background Plasma gelsolin (pGSN) is a non-immunosuppressive anti-inflammatory immunomodulator with demonstrated efficacy in animal models of acute lung injury. Its potential role in moderate-to-severe acute respiratory distress syndrome (ARDS) is currently under investigation. Methods We conducted a phase 1, randomized, double-blind, placebo-controlled study to evaluate the safety, tolerability, and pharmacokinetics of recombinant human pGSN (rhu-pGSN) following intravenous (IV) administration to healthy volunteers. Thirty-two participants were assigned to 4 sequentially ascending dose cohorts (6, 12, 18, 24 mg/kg of body weight) to receive five IV infusions of rhu-pGSN or saline placebo. Each cohort includes 8 subjects randomized 3:1 with rhu-pGSN or placebo. Doses were administered at 0 hours, 12 hours, 36 hours, 60 hours, and 84 hours. The primary outcome is the incidence and severity of clinical and laboratory AEs regardless of causality. Secondary outcomes include the pharmacokinetics of IV rhu-pGSN and the presence of anti-rhu-pGSN antibodies at Day 28. Results Overall, 10 subjects (41.7%) who received rhu-pGSN reported a total of 13 adverse events (AEs), and 1 subject (12.5%) who received placebo reported an AE. All AEs were mild or moderate. AEs in system organ classes that were reported by 2 or more subjects in either arm were skin and subcutaneous tissue disorders (12.5% rhu-pGSN; 0% placebo), gastrointestinal disorders (8.3% rhu-pGSN; 0% placebo), and nervous system disorders (12.5% rhu-pGSN; 12.5% placebo). No AEs by preferred term were reported by more than 1 subject in either arm. Three subjects (12.5%) experienced an AE assessed as related to study drug. No serious AEs occurred, and no AEs led to study discontinuation, dose interruption/reduction, or death. There were no apparent between-treatment differences in laboratory abnormalities, vital signs, or electrocardiogram findings. Conclusions Overall, in this study, IV rhu-pGSN (up to 24 mg/kg daily) appeared safe and well tolerated compared to placebo. The median half-life of rhu-pGSN exceeded 14 h across all dosing regimens, supporting once daily IV dosing in healthy subjects. Trial registration This study was registered with ClinicalTrials.gov on 2023-03-29 under the registration identifier NCT05789745.

Objective To describe trends in dispensing of monoclonal antibodies (mAbs) for autoimmune conditions during and around pregnancy. Design Descriptive study. Setting Lombardy, Italy between 2012 and 2024. Population All women of reproductive age (14-49 years) resident in Lombardy. Methods We described trends in mAb dispensations among women of reproductive age and the prevalence of mAb dispensing before, during and after pregnancy. We explored maternal factors associated with discontinuation. Main outcome measures Change in prescribing of mAbs over time in all women of reproductive age, and before, during and after pregnancy in those who became pregnant. Prevalence of discontinuation and switching mAbs around pregnancy. Results We included 3,049,175 women of reproductive age and 859,699 pregnancies. Prevalence of mAb dispensing during pregnancy increased over 60-fold over the study period, from 0.0041% (95%CI:0.00084, 0.012) in 2012 to 0.27% (95%CI:0.23, 0.32) in 2024. Pregnancy affected mAb dispensing, with mean prevalence decreasing from 0.080% (95%CI:0.074, 0.087) before pregnancy to 0.051% (95%CI:0.046, 0.057) by the third trimester. Over half (53.3%) of pre-existing users discontinued before or during pregnancy; discontinuation decreased over time, and varied substantially between mAbs. Switching mAbs during pregnancy was rare (3.3%). We found limited evidence that sociodemographic factors were associated with discontinuation, but that some health factors may be, such as use of assisted reproductive technology (OR=1.92, 95%CI:0.98-3.77). Conclusions Italian population-wide data from 2012-2024 show an increase in mAbs dispensed during pregnancy, and fewer instances of discontinuing these drugs over time. This may reflect recent changes in prescribing guidelines for mAbs in pregnancy.

Background Classical pharmacokinetic-pharmacodynamic (PK/PD) theory models exposure-effect in two dimensions: magnitude and time. Rate-dependent toxicity has been documented across therapeutic domains but never formalised as a conserved biological constraint. Methods We developed the Human Adaptive Rate Limit (HARL) framework, formalising the maximum tolerable velocity as |dS/dt|_max = sigma_max / tau. We validated HARL across five domains using published trial data and a reanalysis of the longitudinal biomarker data from the 202-patient CAR-T cohort of Wei et al (2023). An 8-ODE quantitative systems pharmacology model guided biomarker selection. Early biomarker velocities (maximum positive slope within days 0-5) were computed for ferritin and D-dimer. Patients were classified as high-risk only if both velocities exceeded their thresholds (dual-velocity classifier). Thresholds were identified by grid-search optimisation of the Youden index and assessed by leave-one-out cross-validation. Findings A prospective crossover study (Kleinbloesem 1987, n=8) demonstrated that matched steady-state nifedipine concentrations produce divergent haemodynamic responses depending solely on rate of rise, anticipating the dose-related mortality signal subsequently reported across ~8350 patients with coronary heart disease (Furberg 1995), a meta-analysis that was itself debated. Convergent evidence spans haematology (CHOIR, 1432 patients, hazard ratio [HR] 1.34 [1.03-1.74] for aggressive Hb correction), radiation (dose-rate effectiveness factor [DDREF] 1.5-2.0), and infusion pharmacology. In the CAR-T cohort, high-risk classification (ferritin >232 ng/mL per day AND D-dimer >1.21 mg/L per day) predicted severe CRS with 100% sensitivity (~78% specificity) in safety rule-out mode and 91.1% sensitivity (93.6% specificity, AUC 0.95 [95% CI 0.91-0.98]) in Youden-optimised mode. Median kinetic lead time was 4 days (range 3-7) before clinical decompensation. Interpretation Biological tolerability is three-dimensional. HARL unifies rate-dependent toxicity across domains spanning minutes to weeks. MTDyn--specifying target level and allowable rate of change--should supplement conventional dose-response assessment.

Background: Dihydropyridine calcium channel blockers (DHP-CCB) are widely prescribed antihypertensives whose adverse effects may trigger unnecessary prescribing of additional medications, termed prescribing cascades (PC). We aimed to identify potential DHP-CCB-induced PCs using high-throughput sequence symmetry analysis (HTSSA). Methods: Using Medicare claims data (2011-2020), we identified new users aged [≥]66 years with continuous enrollment [≥]360 days before and [≥]180 days after DHP-CCB initiation. We screened for initiation of 446 "marker" drug classes within {+/-}90 days of DHP-CCB initiation. Sequence ratios compared marker drug initiation after versus before DHP-CCB initiation. Adjusted sequence ratios (aSR), accounting for prescribing trends over time, were calculated with 95% CIs >1 considered statistically significant. Clinical experts classified statistically significant signals as potential PCs through consensus. Results: Among 388,862 DHP-CCB initiators (mean age 76.6 {+/-} 7.5 years; 62.5% women, 92.3% with hypertension), 82 of 446 marker drug classes had significantly elevated aSRs, of which 24 were classified as potential PCs. Strongest signals ranked by highest aSR included other systemic hemostatics (aSR 2.99; 95% CI, 1.10-8.16), other nasal preparations (aSR 1.99; 95% CI, 1.47-2.70), and drugs used in erectile dysfunction (aSR 1.85; 95% CI, 1.27-2.70). Other clinically relevant signals, ranked by number needed to harm (lowest to highest), included sulfonamides (NNTH 104; 95% CI, 98-111), electrolyte solutions (NNTH 216; 95% CI, 196-241), and osmotically acting laxatives (NNTH 710; 95% CI, 540-1056). Conclusion: Potential PCs identified in this Medicare cohort reflected known and underrecognized adverse effects of DHP-CCBs. Further studies are needed to evaluate the clinical consequences of these PCs.

Background: In 2024, the BMJ updated its data-sharing policy for clinical trials, requiring deidentified individual patient data (IPD) to be openly deposited prior to publication. Our objective was to discover if data-sharing increased after introduction of the new policy. Method: All data-sharing statements were downloaded from BMJ trials published in 2023 (submitted pre-updated policy) and 2025 (submitted post-updated policy). Data for 2025 were gathered for trials in five comparison medical journals. Data-sharing statements were coded to specify whether IPD were immediately available, and if not, the reason why. Where a statement gave a link to a repository, we checked whether data were available. Results: Openly available IPD for BMJ trials increased from 0/32 prior to the new policy to 19/33 (58%) after the updated policy; seven articles gave repository links that did not yield any data. In the five comparison journals, rates of open IPD varied from 0% to 5.6%. Conclusions: There was a substantial increase in open sharing of IPD after introduction of the new policy compared to a prior period. Open sharing of IPD is possible, but it is unpopular with authors and is unlikely to be achieved without firm editorial enforcement

Background: This study aimed to evaluate real-world adverse event (AE) signals of EV to provide evidence-based guidance for its safe clinical application. Methods: Data from the FDA Adverse Event Reporting System (FAERS) database from the period of 2019 Q1-2025 Q3 were analyzed. Disproportionality analysis algorithms, including the reporting odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence propagation neural network (BCPNN), and empirical Bayes geometric mean (EBGM), were utilized to mine safety signals.The time to onset (TTO) was evaluated using the Weibull distribution model. Results: Among 11,697,906 reports, 4,177 EV-treated patients experienced 14,511 AEs. The most common System Organ Classes (SOCs) were skin and subcutaneous tissue disorders (18.23%), general disorders and administration site conditions (13.17%).Multi-algorithm consensus identified 179 positive signals. Alongside known toxicities (rash, peripheral neuropathy, hyperglycemia), potential new signals emerged, including dysgeusia, atypical skin lesions, and myelosuppression. Median TTO was 14 days, with the Weibull {beta} of 0.736, confirming an "early failure" profile. Subgroup analysis revealed toxicity heterogeneity: patients aged [&ge;]65 and females exhibited stronger signals for fatal severe cutaneous adverse reactions, while patients aged < 65 and males showed higher susceptibility to neurological and metabolic toxicities. Conclusions: The real-world safety profile of EV confirms known toxicities, reveals new risks (e.g., dysgeusia), and shows toxicity concentrated in the first treatment cycle. Clinical practice requires proactive monitoring during the first two weeks using demographic-specific strategies: vigilance for fatal skin toxicity in elderly and female patients, and close follow-up of neurological and metabolic indicators in younger and male populations.

BackgroundRoutinely collected prescribing and medicine-related data in Scotland are comprehensive and of high quality. However, they are generated across multiple healthcare settings and stored in complex source systems that are not optimised for longitudinal or outcomes-focused research. To maximise the research value of these data, there is a need for curated, analysis-ready resources that provide consistent representations of medicines exposure and enable linkage to clinical outcomes. The Medicines in Acute and Chronic care Scotland (MACCS) provides standardised, curated medicines data to support longitudinal analyses of medicine-related exposure across NHS healthcare systems. MethodsMACCS resource is a national individual-level medicines dataset for adults (18 years of age and older), derived from routinely collected prescribing and medicine-related data held by Public Health Scotland (PHS). It integrates data from the Hospital Electronic Prescribing and Medicines Administration (HEPMA), Prescribing Information System (PIS), and Homecare Medicines (HCM) datasets, which are linked at the individual level to eleven other national clinical records; including Scottish Morbidity Records (SMR00/01/02/04/06), laboratory data and mortality records; using the unique NHS Scotland person identifier. Data are curated, harmonised and pre-linked within the National Safe Haven and accessed by approved researchers through secure Trusted Research Environments. ResultsMACCS contains individual-level information on adults receiving NHS Scotland care, including patient demographics (such as age, sex and geographical indicators) and detailed records of medicines prescribing in community pharmacies as well as those administered in hospitals and through homecare services. Medicines-related data captures exposure dates and, where available, details on formulation, strength and dose. In addition, MACCS includes cancer registry data, renal registry data, laboratory test results, microbiology surveillance and mortality records. The earliest dates of data availability vary by source dataset. ConclusionMACCS provides a sustainable, longitudinal medicines research resource that simplifies access to complex national prescribing data and enables robust linkage to health outcomes. By supporting population-scale analyses across care settings, MACCS enhances the capacity for high-quality research to inform clinical practice, health policy, and medicines optimisation in Scotland. Key FeaturesO_LIThe Medicines in Acute and Chronic Care in Scotland (MACCS) data resource was established in 2025 to integrate medicine-related data with other electronic data from Scottish healthcare systems, creating a national, linked, routinely updated data resource at population level. C_LIO_LIMACCS provides pre-linked data from multiple routinely collected national datasets within NHS Scotland including, but not limited to, prescribing records, hospital episodes, laboratory results, and death records, within a single secure environment. C_LIO_LIMACCS includes patient demographics, data on medicines prescribing and administration/supply, key biochemistry and haematology test results (e.g., kidney and liver function tests), data on hospital admissions and surgical procedures, and date and cause of death. C_LIO_LIThe data resource provides longitudinal follow-up of the adult population ([&ge;]18 years of age) receiving medicines through NHS Scotland since 2010, covering approximately 4.6 million individuals, and supports pharmacoepidemiological studies, drug utilisation research, pharmacovigilance projects, as well as health services research. C_LIO_LIApproved researchers can apply through a streamlined process to access the linked MACCS data resource through established NHS Scotland governance processes, with data accessed within a Trusted Research Environment. C_LI

Mocravimod (KRP203) is a selective sphingosine 1-phosphate (S1P) receptor modulator currently in development for patients with haematological malignancies undergoing allogenic haematopoietic cell transplantation (HCT). This first-in-human, randomised, double-blind, placebo-controlled, single ascending oral dose study evaluated the safety, tolerability, pharmacokinetics (PK), and pharmacodynamics (PD) of mocravimod in 136 healthy adult participants (EudraCT No. 2006-006814-13). Participants received single doses ranging from 0.01 to 40 mg or placebo, with a cohort dedicated to studying food-effect at 3 mg. Mocravimod demonstrated slow absorption (mean Tmax 6-11 hrs), extensive distribution, and a long terminal half-life (91-132 hrs). Exposure increased dose-proportionally for doses [&ge;]2 mg. The most common adverse events were headache, dizziness, and fatigue, all graded as mild or moderate; no serious adverse events or deaths occurred. Mocravimod-phosphate induced robust, dose-dependent reductions in lymphocyte counts, with significant decreases at doses [&ge;]2 mg and recovery to baseline observed in all but the highest dose groups. Cardiac effects included transient bradycardia and benign second-degree atrioventricular (AV) block at higher doses, without clinically significant arrhythmias. Food intake had minimal impact on PK. No clinically meaningful changes in pulmonary function or laboratory safety signals were detected. These results indicate that single oral doses of mocravimod up to 40 mg are safe and well tolerated in healthy adults, with predictable PK and expected PD effects. The findings support further clinical development of mocravimod as a targeted immunomodulator in settings such as allogeneic HCT for haematological malignancies.

ObjectivesTo develop a population pharmacokinetic (PPK) model of polymyxin B (PMB) for intravenous (IV) and combined intravenous plus inhaled (IV+IH) administration in critically ill patients, and evaluate the association between the 24-h steady-state area under concentration-time curve to minimum inhibitory concentration ratio (AUCss,24h/MIC) and clinical outcomes. MethodsThis prospective cohort was conducted in the ICU of the Third Xiangya Hospital, Central South University (ethics R19048; ChiCTR1900028602). Adults with multidrug-resistant Gram-negative bacterial infections receiving PMB [&ge;]48 h were enrolled and assigned to IV or IV+IH groups. Serial plasma samples were analyzed by validated LC-MS/MS. The PPK model was developed with NONMEM(R). Clinical efficacy at end of treatment was blindly assessed. ResultsForty-three patients were enrolled (IV, n=22; IV+IH, n=21), with an overall clinical success rate of 66.7%. A two-compartment PPK model best described the data, with typical values of clearance (2.6 L/h), central volume (13.6 L), and peripheral volume (17.6 L). Clearance was influenced by creatinine clearance and total bile acids. In the overall cohort, neither AUCss,24h nor AUCss,24h/MIC differed significantly between clinical success and failure (p=0.591 and 0.143). In the IV group, AUCss,24h/MIC was significantly higher in responders (p=0.005) with an ROC-derived efficacy threshold of 94.37; AUCss,24h showed a non-significant trend (p=0.076). No exposure- response relationship was observed in the IV+IH group (p=0.398 and 0.495). ConclusionsPlasma AUCss,24h/MIC appears to be associated with clinical efficacy during IV monotherapy but not in IV+IH regimens, likely due to high pulmonary exposure. Plasma-based PK/PD targets should be applied cautiously when inhalation is added.

ABSTRACT Background: Self medication with analgesics and non steroidal anti inflammatory drugs (NSAIDs) is common in low- and middle income countries and may expose users to preventable adverse outcomes. Evidence from Guinea remains scarce. This study aimed to estimate the prevalence of self medication with analgesics and NSAIDs among pharmacy clients in urban Conakry, identify associated factors, and describe clinical risk situations. Methods: We conducted a pharmacy based analytical cross sectional study in 30 private pharmacies across Conakry, Guinea. A total of 1,032 participants seeking analgesics or NSAIDs were enrolled between November 3, 2012, and April 5, 2013. Self-medication was defined as acquisition or use without a valid medical prescription. Factors associated with self-medication were analysed using multivariable logistic regression. Results: Among 1,032 participants, 603 reported self medication (prevalence 58.4%). Previous unsupervised use was reported by 78.7%. The most frequently used medicines were paracetamol (56.9%, n=587), diclofenac (21.3%, n=220), ibuprofen (17.9%, n=185), and aspirin (3.9%, n=40). Overall, 68.0% (n=702) reported no knowledge of potential adverse effects. Clinical risk situations were frequent: gastrointestinal disorders (41.3%, n=426), hypertension (9.2%, n=95), and pregnancy exposure among reproductive age women (26.0%). In multivariable analysis, self medication was independently associated with previous analgesic/NSAID use (aOR = 2.8, 95% CI: 2.1 to 3.6), lack of knowledge of adverse effects (aOR = 1.9, 95% CI: 1.4 to 2.5), informal occupation (aOR = 1.6, 95% CI: 1.2 to 2.2), and age 18 to 59 years (aOR = 1.5, 95% CI: 1.1 to 2.1). Conclusions: In this pharmacy based study conducted in urban Conakry, self medication with analgesics and NSAIDs was common and frequently associated with limited awareness of potential adverse effects. These findings support the need for strengthened pharmaceutical regulation, pharmacist-led counselling, health literacy interventions, and improved access to primary care. Keywords: self medication; analgesics; NSAIDs; paracetamol; diclofenac; ibuprofen; pharmacy; Guinea; Conakry; drug safety; public health.

Purpose In deprescribing studies, a prescription-free gap is typically used to determine if patients discontinued their treatment. An appropriate gap depends on the typical time between prescriptions during continued use. This work aims to characterise the interval between prescriptions of chronic drugs using different methods for a cohort of older people in primary care in Ireland. Methods The empirical prescription interval was analysed for 38,154 patients for the twenty most common drug classes and the association between covariates and the interval was analysed using a multi-level model. Estimates were also compared to those obtained from the parametric waiting time distribution (pWTD) approach. Results Available covariates had consistent relationships with prescription intervals across drug classes. For example, each additional prescription issue was associated with an increase in the interval by 5.0 (NSAIDs) to 19.7 days ("Other antidepressants"). Full public health cover was associated with a -29.0 day (inhaled adrenergics) to -11.0 day (opioids) change relative to partial cover, while other/private cover had a -17.9 day (benzodiazepines and associated drugs) to -7.1 day (SSRI and SNRIs) change relative to partial cover. The pWTD also produced consistent estimates of the population interval for most drugs. Conclusions The interval varied substantially within drug classes, due to a mixture of patient, practice and unmodelled factors. Variation between practices was effectively explained, with residual variation between patients and within patients. The pWTD approach is useful for describing complex distributions of intervals, and may be more appropriate for inferring a gap than summarising truncated data.

BackgroundPost-market pharmacovigilance relies predominantly on single-database disproportionality analysis of spontaneous adverse event reports, which lacks corroboration across independent evidence streams and cannot integrate randomised trial evidence. No publicly accessible platform has previously combined European national pharmacovigilance registries, the US FDA Adverse Event Reporting System (FAERS), and clinical trial meta-analyses into a unified, continuously scored signal detection framework. MethodsWe describe the Signal Consensus Index (SCI), a composite 0-100 pharmacovigilance signal score integrating disproportionality evidence from the Danish National Pharmacovigilance Database, the UK MHRA Yellow Card scheme, and FAERS, with DerSimonian-Laird meta-analytic risk ratios from ClinicalTrials.gov, across 6,905,874 drug-adverse event pairs. Each source contributes a continuous score derived from the lower bounds of three complementary disproportionality metrics (ROR, PRR, IC025) for spontaneous reporting sources, and from the pooled risk ratio lower confidence bound for clinical trials. The SCI is publicly accessible via the Adverse Event Atlas (aeatlas.com). We report reference set validation against the EU-ADR reference standard, a single-source comparison with discordance characterisation, temporal stability analysis across eight cumulative data windows (2015-2023), and a weight sensitivity analysis across seven pre-specified weighting schemes. ResultsThe SCI generated 129,176 Moderate-or-Strong signals (SCI [&ge;] 50, confidence [&ge;] 50) and 7,290 Strong signals (SCI [&ge;] 70, confidence [&ge;] 70). Reference set validation against 88 classifiable drug-event pairs (44 positive controls, 44 negative controls) yielded 18 true positives, 0 false positives, 44 true negatives, and 26 false negatives (sensitivity 40.9%, specificity 100.0%, PPV 100.0%, NPV 62.9%). Zero false positives were observed across all 44 classifiable negative controls, with five false negatives attributable to the confidence gate correctly suppressing single-source signals pending multi-source corroboration. Single-source comparison demonstrated that FAERS alone generated 1,438,246 disproportionality signals, of which 94.8% were not confirmed by the SCI, while 54,184 SCI-detected signals were absent from FAERS, of which 8.3% involved drugs absent from the US reporting system. Discordance analysis showed that 99.8% of Danish non-confirmation reflected data availability constraints. Temporal stability was high: 98.5% of pairs received identical classifications across all seven weight scenarios, and 57.0% of final Strong signals were already detectable as Moderate or Strong in the earliest data window (2015-2016). Strong classifications were stable across weight scenarios (94.0% of Strong observations remaining Strong). ConclusionsThe SCI provides a transparent, openly accessible framework for cross-source pharmacovigilance signal prioritisation with 100% specificity and PPV against an established reference standard and stable classifications across weighting schemes. Progressive signal emergence through the Moderate tier supports its use as an early detection layer. The platform is available at aeatlas.com.

Background: Cysteamine is the only disease-modifying therapy for nephropathic cystinosis and has shown promise in mitochondrial disorders, but its clinical utility is limited by poor tolerability due to high peak concentrations with existing formulations. TTI-0102 is a novel natural controlled-release cysteamine prodrug designed to provide sustained cysteamine exposure with improved tolerability. Methods: A multi-center, randomized, single-blind, placebo-controlled Phase 2 trial enrolled 9 patients with MELAS syndrome caused by mtDNA m.3243A>G mutation (>50% heteroplasmy) and moderate disease severity (NMDAS score 15-45). Patients received placebo (n=3) or TTI-0102 at 2.75 g/day for one week then 5.5 g/day (n=6, equivalent to 2.5 g/day cysteamine base). Pharmacokinetic parameters, safety, and pharmacodynamic biomarkers including pyruvate, taurine, pantothenic acid, tryptophan, GSH/GSSG, lactate, GDF-15, and FGF-21 were assessed. Clinical efficacy was evaluated using the Modified Fatigue Impact Scale (MFIS) and 12-minute walk test. Results: TTI-0102 demonstrated expected gastrointestinal side effects (nausea, vomiting, diarrhea) consistent with the cysteamine class, with dropout occurring in patients 50 kg receiving fixed 5.5 g/day dosing. Weight-based dosing at 60 {+/-} 5 mg/kg TTI-0102 (~26 mg/kg cysteamine base equivalent) achieved sustained 24-hour cysteamine exposure with half the daily dose and peak concentrations lower than expected by dose proportionality, compared to approved formulations (Procysbi: 56 mg/kg, peak 2.5 mg/L vs. TTI-0102: 26 mg/kg, peak ~2 mg/L). TTI-0102 significantly elevated pantothenic acid (plateauing at 2 weeks) and taurine levels, providing mitochondrial cofactor support and antioxidant effects. Statistically significant pharmacodynamic effects included increased plasma pyruvate (p=0.03) without lactate elevation, suggesting enhanced glycolytic flux, and decreased tryptophan (p<0.01), potentially reducing oxidative stress from neurotoxic kynurenine pathway metabolites. Interestingly, increase in plasma pyruvate and decrease in tryptophan were negligible at doses up to 40 mg/kg/day, optimal at 60 mg/kg/day, and slightly less at 65 mg/kg/day. GSH/GSSG measurements were confounded by sample stability issues. GDF-15, FGF-21, and 12-minute walk distance showed no treatment-related changes. Most notably, MFIS total scores demonstrated significant improvement in TTI-0102-treated patients at 60 mg/kg/day average dose compared to placebo (p=0.04). Polynomial regression revealed therapeutic onset at ~4 weeks, maximal benefit at ~12 weeks, and subsequent plateau. Conclusions: This Phase 2 trial provides proof-of-concept that TTI-0102 is safe and well-tolerated in MELAS patients while treated with less than 65 mg/kg/day, with efficacy signals in fatigue reduction, a cardinal symptom affecting 71-100% of mitochondrial disease patients. The drug tri-faceted mechanism through sustained cysteamine, taurine, and pantothenic acid delivery addresses oxidative stress, mitochondrial energy metabolism, and cofactor deficiency. Significant MFIS improvement coupled with favorable modulation of pyruvate and tryptophan supports advancing TTI-0102 to larger Phase 2b/3 trials in mitochondrial disease employing weight-based dosing (60 {+/-} 5 mg/kg), validated patient-reported outcomes, and minimum 12-week treatment duration. The same mechanism of cysteamine/cystine thiol-disulfide exchange in lysosomes that may benefit mitochondrial diseases also supports cystinosis treatment. An investigator-initiated study in cystinosis will evaluate whether once-daily TTI-0102 at 60 {+/-} 5 mg/kg can maintain therapeutic WBC cystine levels, potentially offering improved adherence and quality of life compared to current twice-daily or four-times-daily regimens, and this weight-adjusted dosing strategy and pharmacodynamic biomarkers identified in the MELAS study are going to be used to inform the design of the planned Phase 2 study in Leigh syndrome, another mitochondrial disorder, in collaboration with the Childrens Hospital of Philadelphia (CHOP), with particular attention to dose optimization and biomarker-based assessment of pharmacological activity. Acknowledgement: We are very thankful to the patients and the clinical teams of Radboud University Nijmegen Medical Centre (Netherlands) and Centre Hospitalier Universitaire d'Angers (France) for their participation in this operationally challenging study.

Background: GLP-1 receptor agonists (GLP1-RAs) are an established treatment for type 2 diabetes mellitus (T2DM) and obesity. Their widespread use is set to increase through both indication expansion and patent expiry. As well as efficacy, it is crucial to understand the safety of this drug class to enable optimal use. Here we demonstrate how a genetic approach can augment signal-detection and post-market authorization surveillance. Methods: We used single nucleotide polymorphisms (SNPs) in GLP1R to recapitulate the effect of agonism with GLP1RAs on circulating glucose, glycated hemoglobin (HbA1c), body mass index (BMI) and risk of type 2 diabetes (T2DM) using Mendelian randomisation. We then tested if the adverse effect highlighted by medicines regulators of pancreatitis and the emerging effect of sarcopenia were causally related to GLP1R agonism, using this approach. Analyses were conducted in UK biobank and replicated in FinnGen and All of Us, results being combined using meta-analysis. Analyses were further stratified by a priori risk factors of age and alcohol consumption. Results: Genetically proxied GLP-1R agonism was associated with a reduction in glucose (exp({beta}) = 0.95 95% CI [0.94, 0.97]), HbA1c (exp({beta}) = 0.94 95% CI [0.92, 0.95]), and BMI (exp({beta})=0.98 95% CI [0.97, 0.99]); and a reduced risk of T2DM (OR = 0.82 95% CI [0.79 to 0.86]). Risk of acute and chronic pancreatitis was however increased (OR = 1.10 95% CI [1.01 to 1.20] and OR = 1.05 95% CI [0.95, 1.17], respectively), which varied as a function of age with risk most pronounced in those aged 50-59 years-old (OR = 1.79 95% CI [1.43, 2.24], OR = 1.57 95% CI [1.16, 2.12]) and in drinkers (OR = 1.32 95% CI [1.12, 1.54], OR = 1.36 95% CI [1.12, 1.65]). Risk of sarcopenia also increased (OR 1.34; 95% CI 1.05,1,71). Conclusions: Genetically proxied agonism with GLP-1RAs recapitulated the pharmacological effects of GLP1-1RAs on glycaemic traits, BMI and T2DM risk. This approach supports a causal effect of GLP-1RAs on the well reported adverse effects of pancreatitis and further indicates age and alcohol consumption as risk modifying effects. The less well reported but emerging effect of sarcopenia appears to also be casually related to agonism at GLP-1R. These analyses suggest a genetic approach could be used as an adjunct to signal detection studies to enhance safety regulation as well as personalisation of the use of these drugs.

BackgroundNon-adherence to lipid-lowering therapy (LLT) affects up to half of patients and contributes substantially to preventable cardiovascular morbidity and mortality. Existing measures, such as the proportion of days covered, provide cross-sectional summaries but fail to capture the dynamic patterns of adherence over time. Although group-based trajectory modelling identifies distinct longitudinal adherence patterns, no approach currently predicts trajectory membership prospectively while incorporating patient-reported barriers. We developed BRIDGE, a barrier-informed Bayesian model to predict adherence trajectories and identify their underlying drivers. MethodsBRIDGE incorporates patient-reported barriers as structured prior information within a Bayesian framework for adherence-trajectory prediction. The model was designed not only to estimate which patients are likely to follow different adherence trajectories, but also to generate clinically interpretable probability estimates that help explain why those trajectories may arise and what modifiable factors may be most relevant for intervention. ResultsBRIDGE achieved a macro AUROC of 0.809 (95% CI 0.806 to 0.813), comparable to random forest (0.815 (95% CI 0.812 to 0.819)) and XGBoost (0.821 (95% CI 0.818 to 0.824)), two widely used machine-learning benchmarks for structured clinical prediction. Calibration was superior to random forest (Brier score 0.530 vs 0.545; ), and performance was stable across six independent training runs (AUROC SD = 0.003). Incorporating barrier-informed priors improved accuracy by 3.5% and calibration by 5.5% compared to flat priors, showing that incorporation of patient-reported barriers added value beyond electronic medical record data alone. Four clinically distinct adherence trajectories were identified: gradual decline associated with treatment deprioritisation amid polypharmacy (10.4%), early discontinuation linked to asymptomatic risk dismissal (40.5%), rapid decline associated with intolerance (28.8%), and persistent adherence (20.2%). Counterfactual analysis identified trajectory-specific intervention levers. ConclusionsBRIDGE provides accurate and well-calibrated prediction of adherence trajectories while offering clinically actionable insights into their underlying drivers. By integrating patient-reported barriers with routine clinical data, the model supports targeted, mechanism-informed interventions at the point of prescribing to improve adherence to cardioprotective therapies. FundingMRFF CVD Mission Grant 2017451 Evidence before this studyWe searched PubMed and Scopus from database inception to December 2025 using the terms "medication adherence", "trajectory", "prediction model", "Bayesian", "lipid-lowering therapy", and "barriers", with no language restrictions. Group-based trajectory modelling has consistently identified three to five adherence patterns across cardiovascular cohorts; however, these applications have been descriptive rather than predictive. Machine-learning models for adherence prediction achieve moderate discrimination but treat adherence as a binary or continuous outcome, thereby overlooking the clinically meaningful heterogeneity captured by trajectory approaches. One prior study applied a Bayesian dynamic linear model to examine adherence-outcome associations, but it did not predict adherence trajectories or incorporate patient-reported barriers. To our knowledge, no published model integrates patient-reported barriers into trajectory prediction. Added value of this studyBRIDGE is, to our knowledge, the first model to incorporate patient-reported adherence barriers as hierarchical domain-informed priors within a Bayesian framework for trajectory prediction. Using 108 predictors derived from routine electronic medical records, the model achieves discrimination comparable to state-of-the-art machine-learning approaches while additionally providing uncertainty quantification, barrier-level interpretability, and counterfactual insights to inform intervention strategies. The identified trajectories differed not only in adherence level but also in switching behaviour, drug-class evolution, and medication burden, suggesting distinct underlying mechanisms of non-adherence that may require tailored clinical responses. Implications of all the available evidenceEach adherence trajectory implies a distinct intervention target: asymptomatic risk communication for early discontinuers (40.5% of patients), proactive tolerability management for rapid decliners, medication simplification for patients with gradual decline associated with polypharmacy, and maintenance support for persistent adherers. By integrating routinely collected clinical data with patient-reported barriers, BRIDGE can be deployed within existing primary care EMR infrastructure to generate actionable, trajectory and patient--specific recommendations at the point of prescribing, helping to bridge the gap between adherence measurement and targeted adherence management.

Background: Primary aldosteronism (PA) testing is recommended for patients with resistant hypertension but remains underused, and evidence linking aldosterone-targeted therapy to improved cardiovascular and renal outcomes is limited. Methods: In a nationwide cohort of patients with resistant hypertension between 2001 and 2022, we assessed PA testing and subsequent mineralocorticoid receptor antagonist (MRA) use and adrenalectomy. Among tested patients, time-dependent Cox models were used to assess associations between treatment exposure and mortality, major adverse cardiovascular events (MACE) and renal outcomes. Results: Among 254,338 patients, only 2.0% were tested for PA. Tested patients had a higher prevalence of hypokalemia and cardiometabolic comorbidities. In the overall tested population, MRA use was not associated with lower risks of cardiovascular or renal outcomes. However, when testing resulted in an established PA diagnosis, the use of both MRA (hazard ratio [HR] 0.60, 95% CI 0.42-0.86) and adrenalectomy (HR 0.33, 95% CI 0.20-0.54) were associated with a reduced risk of MACE compared with no aldosterone-targeted therapy. Similar results were observed regarding mortality. Adrenalectomy was associated with lower risk of MACE (HR 0.55, 95% CI 0.30-0.99), all-cause mortality (HR 0.52, 95% CI 0.29-0.93) and renal outcomes (HR 0.37, 95% CI 0.17-0.80) compared with MRA in patients with a diagnosis of PA. Conclusions: PA remains markedly underrecognized in resistant hypertension. Among patients with resistant hypertension who did undergo PA testing with establishment of a PA diagnosis, aldosterone-targeted therapy resulted in lower risk of adverse cardiorenal outcomes and death when compared to conventional antihypertensive therapy.