Baricitinib and tofacitinib off-target profile, with a focus on Alzheimer's disease.

INTRODUCTION: Janus kinase (JAK) inhibitors were recently identified as promising drug candidates for repurposing in Alzheimer's disease (AD) due to their capacity to suppress inflammation via modulation of JAK/STAT signaling pathways. Besides interaction with primary therapeutic targets, JAK inhibitor drugs frequently interact with unintended, often unknown, biological off-targets, leading to associated effects. Nevertheless, the relevance of JAK inhibitors' off-target interactions in the context of AD remains unclear. METHODS: Putative off-targets of baricitinib and tofacitinib were predicted using a machine learning (ML) approach. After screening scientific literature, off-targets were filtered based on their relevance to AD. Targets that had not been previously identified as off-targets of baricitinib or tofacitinib were subsequently tested using biochemical or cell-based assays. From those, active concentrations were compared to bioavailable concentrations in the brain predicted by physiologically based pharmacokinetic (PBPK) modeling. RESULTS: With the aid of ML and in vitro activity assays, we identified two enzymes previously unknown to be inhibited by baricitinib, namely casein kinase 2 subunit alpha 2 (CK2-α2) and dual leucine zipper kinase (MAP3K12), both with binding constant (K d) values of 5.8 µM. Predicted maximum concentrations of baricitinib in brain tissue using PBPK modeling range from 1.3 to 23 nM, which is two to three orders of magnitude below the corresponding binding constant. CONCLUSION: In this study, we extended the list of baricitinib off-targets that are potentially relevant for AD progression and predicted drug distribution in the brain. The results suggest a low likelihood of successful repurposing in AD due to low brain permeability, even at the maximum recommended daily dose. While additional research is needed to evaluate the potential impact of the off-target interaction on AD, the combined approach of ML-based target prediction, in vitro confirmation, and PBPK modeling may help prioritize drugs with a high likelihood of being effectively repurposed for AD. Highlights: This study explored JAK inhibitors' off-targets in AD using a multidisciplinary approach.We combined machine learning, in vitro tests, and PBPK modelling to predict and validate new off-target interactions of tofacitinib and baricitinib in AD.Previously unknown inhibition of two enzymes (CK2-a2 and MAP3K12) by baricitinib were confirmed using in vitro experiments.Our PBPK model indicates that baricitinib low brain permeability limits AD repurposing.The proposed multidisciplinary approach optimizes drug repurposing efforts in AD research.

Prevalence of potentially inappropriate medications among newly treated patients with type 2 diabetes in UK primary care.

AIMS: The aim of this study was to estimate the prevalence of potentially inappropriate prescriptions (PIPs) in patients starting their first noninsulin antidiabetic treatment (NIAD) using two explicit process measures of the appropriateness of prescribing in UK primary care, stratified by age and polypharmacy status. METHODS: A descriptive cohort study between 2016 and 2019 was conducted to assess PIPs in patients aged ≥45 years at the start of their first NIAD, stratified by age and polypharmacy status. The American Geriatrics Society Beers criteria 2015 was used for older (≥65 years) patients and the Prescribing Optimally in Middle-age People's Treatments criteria was used for middle-aged (45-64 years) patients. Prevalence of overall PIPs and individual PIPs criteria was reported using the IQVIA Medical Research Data incorporating THIN, a Cegedim Database of anonymized electronic health records in the UK. RESULTS: Among 28 604 patients initiating NIADs, 18 494 (64.7%) received polypharmacy. In older and middle-aged patients with polypharmacy, 39.6% and 22.7%, respectively, received ≥1 PIP. At the individual PIP level, long-term proton pump inhibitors (PPI) use was the most frequent PIP among older adults, and strong opioid without laxatives was the most frequent PIP in middle-aged patients with polypharmacy (11.1% and 4.1%, respectively). CONCLUSIONS: This study revealed that patients starting NIAD treatment receiving polypharmacy have the potential for pharmacotherapy optimization.

Methodological guidance for the use of real-world data to measure exposure and utilization patterns of osteoporosis medications.

Observational studies of osteoporosis medications can provide critical real-world evidence (RWE) that fills knowledge gaps left by clinical trials. However, careful consideration of study design is needed to yield reliable estimates of association. In particular, obtaining valid measurements of exposure to osteoporosis medications from real-world data (RWD) sources is complicated due to different medication classes, formulations, and routes of administration, each with different pharmacology. Extended half-lives of bisphosphonates and extended dosing of denosumab and zoledronic acid require particular attention. In addition, prescribing patterns and medication taking behavior often result in gaps in therapy, switching, and concomitant use of osteoporosis therapies. In this review, we present important considerations and provide specialized guidance for measuring osteoporosis drug exposures in RWD. First, we compare different sources of RWD used for osteoporosis drug studies and provide guidance on identifying osteoporosis medication use in these data sources. Next, we provide an overview of osteoporosis pharmacology and how it can influence decisions on exposure measurement within RWD. Finally, we present considerations for the measurement of osteoporosis medication exposure, adherence, switching, long-term exposures, and drug holidays using RWD. Ultimately, a thorough understanding of the differences in RWD sources and the pharmacology of osteoporosis medications is essential to obtain valid estimates of the relationship between osteoporosis medications and outcomes, such as fractures, but also to improve the critical appraisal of published studies.

Sex- and Age Group-Specific Fracture Incidence Rates Trends for Type 1 and 2 Diabetes Mellitus.

The incidence of major osteoporotic fractures has declined in men and women in Western countries over the last two decades. Although fracture risk is higher in persons with diabetes mellitus, trends of fractures remain unknown in men and women with diabetes. We investigated the trends in fracture incidence rates (IRs) in men and women with type 1 diabetes mellitus (T1D) and type 2 diabetes mellitus (T2D) in Denmark between 1997 and 2017. We identified men and women aged 18+ years who sustained a fracture (excluding skull and facial fractures) between 1997 and 2017 using the Danish National Patient Registry. We calculated sex-specific IRs of fractures per 10,000 person-years separately in persons with T1D, T2D, or without diabetes. Furthermore, we compared median IRs of the first 5 years (1997-2002) to the median IRs of the last 5 years (2012-2017). We identified 1,235,628 persons with fractures including 4863 (43.6% women) with T1D, 65,366 (57.5% women) with T2D, and 1,165,399 (54.1% women) without diabetes. The median IRs of fractures declined 20.2%, 19.9%, and 7.8% in men with T1D, T2D, and without diabetes, respectively (p-trend <0.05). The median IRs decreased 6.4% in women with T1D (p-trend = 0.35) and 25.6% in women with T2D (p-trend <0.05) but increased 2.3% in women without diabetes (p-trend = 0.08). Fracture IRs decreased in men with both diabetes types and only in women with T2D, highlighting the need for further attention behind the stable trend observed in women with T1D. © 2023 The Authors. JBMR Plus published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research.

Longitudinal associations between body mass index and changes in disease activity and radiographic progression in rheumatoid arthritis patients treated with infliximab.

OBJECTIVES: Treatment response is worse in obese patients with rheumatoid arthritis (RA), including patients on weight-adjusted therapies like infliximab. We aimed to assess the association between body mass index (BMI) and changes in RA disease activity and radiographic progression over time. METHODS: We included infliximab users with an RA diagnosis in the Swiss Clinical Quality Management in Rheumatic Diseases registry (1997-2020). Two cohorts were defined: (1) starting from their first BMI measurement or disease activity score (DAS28-esr), and (2) from their first BMI measurement or radiographic assessment (Rau score). We evaluated the coefficient and 95% CI of BMI with changes in mean DAS28-esr (cohort 1) and mean Rau scores (a structural joint damage score, cohort 2) using generalised estimation equations, overall and stratified by BMI categories. RESULTS: Cohort 1 comprised 412 patients (74% women, mean age 53 years, mean BMI 25). We observed no change in mean DAS28-esr with increasing BMI overall (adjusted coefficient: 0.00, 95% CI -0.02 to 0.02), or in BMI categories. Cohort 2 comprised 187 patients highly alike to those in cohort 1. We observed a significant decrease of 1.05 in mean Rau scores for every increase in BMI unit (adjusted coefficient: -1.05, 95% CI -1.92 to -0.19). Results remained statistically non-significant across BMI categories. CONCLUSIONS: Our longitudinal investigation suggests that BMI increase may not lead to changes in DAS28-esr in patients receiving infliximab, despite the weight-adapted dose. Yet, there may be a decrease in erosions with increasing weight non-limited to obese patients.

JAK-inhibitors and risk on serious viral infection, venous thromboembolism and cardiac events in patients with rheumatoid arthritis: A protocol for a prevalent new-user cohort study using the Danish nationwide DANBIO register.

Janus Kinase inhibitors (JAKis) are targeted synthetic disease-modifying antirheumatic drugs and represent an important alternative to treat patients with moderate to high rheumatoid arthritis (RA) disease activity. Safety concerns associated with increased risk for venous thromboembolism (VTE), serious viral infection, and, more recently, major adverse cardiovascular events (MACE) in JAKi users have emerged worldwide. However, as the exact mechanisms to explain these safety concerns remain unclear, the increased risk of VTE, MACE, and serious viral infection in JAKi users is heavily debated. In light of the need to enrich the safety profile of JAKis in real-world data, we aim to quantify the incidence and risk of MACE, VTE, and serious viral infections in RA patients registered in the Danish DANBIO registry, a nationwide registry of biological therapies used in rheumatology. Therefore, we will conduct a population-based cohort study using a prevalent new-user design. We will identify all RA patients in the DANBIO, ≥ 18 years old, receiving a JAKi or a tumor necrosis factor α inhibitor (TNF-αi) from January 2017 to December 2022. Prevalent and new users of JAKis will be matched to TNF-αi comparators with similar exposure history using time-conditional propensity scores (TCPS). We will describe the cumulative incidence of the outcomes (VTE, MACE, serious viral infection) in each exposure group (JAKi users; TNF-αi users), stratified by outcome type. Additionally, the Aalen-Johansen method will be used to estimate the time-to-event survival function stratified by outcome type. We will also estimate the hazard ratio (HR) with 95% confidence interval (CI) of each outcome in both exposure groups using the time-dependent Cox proportional hazards model. Results will enrich the safety profile of JAKis in real-world data.

Design and Execution of Sustainable Decentralized Clinical Trials.

The decentralized clinical trial (DCT) approach is increasingly recognized as a means to accelerate the development of potential therapeutic interventions. DCTs have a crucial advantage over traditional clinical trials: patients are monitored in their environment using technology (e.g., wearables), that capture data as they continue in daily life. This narrative review outlines a gap analysis focused on the frameworks and guidance from expert working groups and regulatory agencies for the design and execution of DCTs. Eight DCT elements guided the analysis and summarized the frameworks and guidance: (1) suitability, (2) protocol, (3) investigational medicinal product (IMP) supply, (4) investigators and health care providers, (5) safety, (6) regulatory and ethics, (7) data and technology, and (8) engagement, communication, and advocacy. Based on the gap analysis, two key takeaways were identified: (1) a need for a comprehensive sustainability assessment of each DCT element; and (2) current frameworks and guidance provide recommendations on social sustainability and some on economic sustainability. DCTs are an essential evolution in healthcare research; however, more guidance related to a comprehensive assessment of designing and executing sustainable DCTs is needed. This is especially the case for environmental sustainability, including, for example, carbon footprint and disposal of IMPs and sensors.

Patient groups in Rheumatoid arthritis identified by deep learning respond differently to biologic or targeted synthetic DMARDs.

Cycling of biologic or targeted synthetic disease modifying antirheumatic drugs (b/tsDMARDs) in rheumatoid arthritis (RA) patients due to non-response is a problem preventing and delaying disease control. We aimed to assess and validate treatment response of b/tsDMARDs among clusters of RA patients identified by deep learning. We clustered RA patients clusters at first-time b/tsDMARD (cohort entry) in the Swiss Clinical Quality Management in Rheumatic Diseases registry (SCQM) [1999-2018]. We performed comparative effectiveness analyses of b/tsDMARDs (ref. adalimumab) using Cox proportional hazard regression. Within 15 months, we assessed b/tsDMARD stop due to non-response, and separately a ≥20% reduction in DAS28-esr as a response proxy. We validated results through stratified analyses according to most distinctive patient characteristics of clusters. Clusters comprised between 362 and 1481 patients (3516 unique patients). Stratified (validation) analyses confirmed comparative effectiveness results among clusters: Patients with ≥2 conventional synthetic DMARDs and prednisone at b/tsDMARD initiation, male patients, as well as patients with a lower disease burden responded better to tocilizumab than to adalimumab (hazard ratio [HR] 5.46, 95% confidence interval [CI] [1.76-16.94], and HR 8.44 [3.43-20.74], and HR 3.64 [2.04-6.49], respectively). Furthermore, seronegative women without use of prednisone at b/tsDMARD initiation as well as seropositive women with a higher disease burden and longer disease duration had a higher risk of non-response with golimumab (HR 2.36 [1.03-5.40] and HR 5.27 [2.10-13.21], respectively) than with adalimumab. Our results suggest that RA patient clusters identified by deep learning may have different responses to first-line b/tsDMARD. Thus, it may suggest optimal first-line b/tsDMARD for certain RA patients, which is a step forward towards personalizing treatment. However, further research in other cohorts is needed to verify our results.

An explorative analysis of pharmacovigilance data of oxytocin and its analogue carbetocin, with a focus on haemodynamic adverse effects.

BACKGROUND: Oxytocin and its analogue carbetocin are uterotonics whose prophylactic use is recommended to prevent postpartum haemorrhage, which is one of the leading causes of maternal deaths worldwide. However, both drugs can cause specific adverse effects and haemodynamic challenges. AIM: The aim of this work was to exploratively examine reports of adverse drug events of both drugs and to establish a comparative haemodynamic profile. METHOD: Using data extracted from the World Health Organization's pharmacovigilance database VigiBase, a descriptive analysis was performed of all reports for oxytocin and carbetocin as a suspected or interacting drug followed by a disproportionality analysis for haemodynamic events. Reporting odds ratios (ROR) of carbetocin for hypertension, hypotension, tachycardia, and bradycardia were calculated, with oxytocin-related reports serving as comparators. RESULTS: Oxytocin and carbetocin were mentioned as suspected or interacting drugs in 11,258 and 374 reports, respectively. Resulting RORs for carbetocin were 3.45 (95%CI: 1.72-6.92) for hypertension, 2.65 (1.64-4.28) for hypotension, 2.84 (1.79-4.49) for tachycardia, and 2.00 (0.87-4.60) for bradycardia, when compared to oxytocin. Of 231 patients for whom oxytocin-related tachycardia was reported, 2.6% died, and of 91 patients for whom bradycardia was reported, 2.2% died. No deaths were reported with carbetocin for any of the haemodynamic adverse events. CONCLUSION: Compared to oxytocin, carbetocin showed an elevated reporting for adverse hypertension, hypotension, and tachycardia in pharmacovigilance data. Clinicians should be aware of their patients' individual susceptibility and the possibility of haemodynamic deterioration until causal inferences are possible.

Comparison of Fracture Identification Using Different Definitions in Healthcare Administrative (Claims) Data.

We identified inconsistency in fracture definitions in a prior review of studies that utilized claims data. Here, we aimed to compare fracture rates estimated using thirteen hip and seven radius/ulna fracture definitions. Our primary analysis compared results in a cohort of 120,363 older adults treated with oral bisphosphonates for ≥3 years. The most inclusive definition (hip: inpatient or emergency diagnosis; radius/ulna: inpatient, emergency, or outpatient diagnosis) served as a referent to compare the number and proportion of fractures captured. In sensitivity analyses, we considered a 180-day washout, excluded fractures associated with trauma; and hip only, excluded: (1) subtrochanteric fractures, and (2) hip replacement procedures. Hip fractures varied by definition in number (52-8058) and incidence (0.7-111.8/10,000 person-years). The second most inclusive definition required one inpatient diagnosis and identified 8% fewer hip fractures than the referent. Excluding hip replacements missed 33% of hip fractures relative to the primary analysis. Radius/ulna fractures also ranged in number (1589-6797) and incidence (22.0-94.3/10,000 person-years). Outpatient data were important, when restricted to inpatient or emergency data, only 78% of radius/ulna fractures were identified. Other than hip replacement procedures, sensitivity analyses had minimal impact on fracture identification. Analyses were replicated in a cohort of patients treated with long-term glucocorticoids. This study highlights the importance and impact of coding decisions on fracture outcome definitions. Further research is warranted to inform best practice in fracture outcome identification.

Site-Specific Fracture Incidence Rates Among Patients With Type 1 Diabetes, Type 2 Diabetes, or Without Diabetes in Denmark (1997-2017).

OBJECTIVE: To investigate trends in incidence rates (IRs) at various fracture sites for patients with type 1 diabetes and type 2 diabetes compared with patients without diabetes in Denmark in 1997-2017. RESEARCH DESIGN AND METHODS: Patients aged ≥18 years with a vertebral, hip, humerus, forearm, foot, or ankle fracture between 1997 and 2017 were identified from Danish hospital discharge data. IRs per 10,000 person-years were calculated over the study period. Median IRs for the first (1997-2001) and the last (2013-2017) 5 years were compared. We used Poisson models to estimate age-adjusted IR ratios (IRRs) of fractures among patients with type 1 and type 2 diabetes versus patients without diabetes. RESULTS: Except for foot fractures, fracture IRs were higher in patients with type 1 or type 2 diabetes compared with patients without diabetes. Hip fracture IRs declined between the first and last 5 years by 35.2%, 47.0%, and 23.4% among patients with type 1, type 2, and without diabetes, respectively. By contrast, vertebral fracture IRs increased 14.8%, 18.5%, 38.9%, respectively. While age-adjusted IRRs remained elevated in patients with type 1 diabetes compared with patients without diabetes, IRRs in patients with type 2 diabetes converged with those observed in patients without diabetes. CONCLUSIONS: Unadjusted fracture rates are higher in patients with diabetes but have decreased between 1997 and 2017 except for vertebral fractures, which increased in all groups. Fracture rates change after age adjustment.

Identification of polypharmacy patterns in new-users of metformin using the Apriori algorithm: A novel framework for investigating concomitant drug utilization through association rule mining.

PURPOSE: With increased concomitant chronic diseases in type 2 diabetes mellitus (T2DM), the use of multiple drugs increases as well as the risk of drug-drug interactions (DDI) and adverse drug reactions (ADR). Nevertheless, how medication patterns vary in T2DM patients across different sex and age groups is unclear. This study aims to identify and quantify common drug combinations in first-time metformin users with polypharmacy (≥5 co-medications). METHODS: New users of metformin were identified from the IQVIA Medical Research Data incorporating data from THIN, A Cegedim Database (2016-2019). A descriptive cohort study explored prescription patterns in patients with polypharmacy. The Apriori algorithm, used to find frequent item-sets in databases, was first-time applied to identify and quantify drug combinations of up to seven drugs to investigate potential harmful polypharmacy patterns. RESULTS: The cohort included 34 169 new-users of metformin, of which 20 854 (61.0%) received polypharmacy. Atorvastatin was the most frequently co-prescribed drug with metformin overall (38.7%), in women (34.3%) and men (42.6%). In the stratified analysis, a higher proportion of women received polypharmacy (65.6%) compared to men (57.4%). Moreover, the proportion of patients receiving polypharmacy increased with age (18-39 years = 30.4%, 40-59 years = 50.5%, 60-74 years = 70.9%, and ≥75 years = 84.3%). CONCLUSION: This study is the first to identify and quantify commonly prescribed combinations of drugs compounds in patients with polypharmacy using the Apriori algorithm. The high polypharmacy prevalence at all strata indicates the need to optimize polypharmacy to minimize DDI and ADR.

The associations between bariatric surgery and hip or knee arthroplasty, and hip or knee osteoarthritis: Propensity score-matched cohort studies.

Objective: To investigate the associations between bariatric surgery and hip or knee arthroplasty, and secondary care hip or knee osteoarthritis (OA). Methods: We performed cohort studies using data from Swedish nationwide healthcare registries. Patients aged 18-79 years who underwent bariatric surgery between 2006 and 2019 were matched on their propensity score (PS) to up to 2 obese patients ("unexposed episodes") in risk-set sampling. After a 1-year run-in period, episodes were followed in an "as-treated" approach. Using Cox proportional hazard regression, we calculated hazard ratios (HR) with 95% confidence intervals (CIs) of hip or knee arthroplasty overall and in subgroups of age, sex, joint location, arthroplasty type, bariatric surgery type, and by duration of follow-up if proportional hazard assumptions were violated. In a secondary cohort, we assessed the outcome incident secondary care hip or knee osteoarthritis (OA). Results: Among 39'392 bariatric surgery episodes when compared to 61'085 â€‹PS-matched unexposed episodes (47'594 unique patients), the risk of hip or knee arthroplasty was strongest increased within the first three years of follow-up (HR 1.79, 95% CI 1.56-2.07), decreased thereafter, but remained elevated throughout follow-up. In a secondary cohort of 37'929 exposed when compared to 58'600 â€‹PS-matched unexposed episodes, the risk of hip or knee osteoarthritis was decreased (HR 0.84, 95% CI 0.79-0.90). Conclusion: Bariatric surgery is associated with increased risks of hip or knee arthroplasty, but also with decreased risks of secondary care OA. This contradiction supports the hypothesis that bariatric surgery may act as an enabler for hip or knee arthroplasty.

Comorbidity clusters associated with newly treated type 2 diabetes mellitus: a Bayesian nonparametric analysis.

Type 2 diabetes mellitus (T2DM) is associated with the development of chronic comorbidities, which can lead to high drug utilization and adverse events. We aimed to identify common comorbidity clusters and explore the progression over time in newly treated T2DM patients. The IQVIA Medical Research Data incorporating data from THIN, a Cegedim database of anonymized electronic health records, was used to identify all patients with a first-ever prescription for a non-insulin antidiabetic drug (NIAD) between January 2006 and December 2019. We selected 58 chronic comorbidities of interest and used Bayesian nonparametric models to identify disease clusters and model their progression over time. Among the 175,383 eligible T2DM patients, we identified the 20 most frequent comorbidity clusters, which were comprised of 14 latent features (LFs). Each LF was associated with a primary disease (e.g., 98% of patients in cluster 2, characterized by LF2, had congestive heart failure [CHF]). The presence of certain LFs increased the probability of having another LF active. For example, LF2 (CHF) frequently appeared with LFs related to chronic kidney disease (CKD). Over time, the clusters associated with cardiovascular diseases, such as CHF, progressed rapidly. Moreover, the onset of certain diseases led to further complications. Our models identified established T2DM complications and previously unknown connections, thus, highlighting the potential for Bayesian nonparametric models to characterize complex comorbidity patterns.

Lower odds of remission among women with rheumatoid arthritis: A cohort study in the Swiss Clinical Quality Management cohort.

OBJECTIVE: To compare the likelihood of achieving remission between men and women with rheumatoid arthritis (RA) after starting their first biologic or targeted synthetic disease-modifying anti-rheumatic drug (b/tsDMARD). METHODS: This cohort study in the Swiss Clinical Quality Management in Rheumatic Diseases (SCQM) registry included RA patients starting their first b/tsDMARD (1997-31/04/2018). The odds of achieving remission at ≤12-months, defined by disease activity score 28-joints (DAS28) <2.6, were compared between men and women. Secondary analyses were adjusted for age and seropositivity, and we investigated potential mediators or factors that could explain the main findings. RESULTS: The study included 2839 (76.3%) women and 883 (23.7%) men with RA. Compared to women, men were older at diagnosis and b/tsDMARD start, but had shorter time from diagnosis to b/tsDMARD (3.4 versus 5.0 years, p<0.001), and they had lower DAS28 at b/tsDMARD start. Compared to women, men had 21% increased odds of achieving DAS28-remission, with odds ratio (OR) 1.21, 95% confidence interval (CI) 1.02-1.42. Adjusting for age and seropositivity yielded similar findings (adjusted OR 1.24, 95%CI 1.05-1.46). Analyses of potential mediators suggested that the observed effect may be explained by the shorter disease duration and lower DAS28 at treatment initiation in men versus women. CONCLUSION: Men started b/tsDMARD earlier than women, particularly regarding disease duration and disease activity (DAS28), and had higher odds of reaching remission. This highlights the importance of early initiation of second line treatments, and suggests to target an earlier stage of disease in women to match the benefits observed in men.

Opioid sales and opioid-related poisonings in Switzerland: A descriptive population-based time-series analysis.

Background: To examine time trends and characteristics of calls related to opioid poisonings reported to the National Poison Centre and opioid sales in Switzerland. Methods: We used population-level data from the Swiss National Poisons Information Centre on reported opioid-related poisonings and data provided by the Swiss Pharmacists' Association (pharmaSuisse) based on IQVIA data to identify sold opioid packages. The rate of opioid-related poisoning calls and dispensed opioid packages per 100,000 Swiss inhabitants between 2000 and 2019 were plotted by year and annual trends were assessed. All analyses were stratified by individual opioid and potency (strong vs weak). Findings: There was a significant 177% increase in the rate of calls for opioid-related poisonings (1·4 to 3·9 per 100,000 inhabitants, p<0·001) and a 91·3% increase in opioid sales (from 14,364·0 to 27,477·6 per 100,000 inhabitants, p<0.001). The increase associated with strong opioids was higher when compared to weak opioids, in both poison centre calls and sales. In 2019, tramadol was the most frequently reported opioid in the poison centre data (35·7%, n=133) and sales (37·5%, n=8,863,377), followed by oxycodone calls (24·4%, n=91) and sales 23·4%, n= 552,751). Poisoning calls and sales related to oxycodone increased substantially between 2009 and 2016, as did the rate of poison centre calls requiring medical care. Interpretation: Calls to the Swiss National poison centre and sales for opioid have increased substantially in Switzerland in the last two-decades. Increases were primarily driven by oxycodone and tramadol; however, sales have attenuated since 2016. Our findings mirror other European countries and stress the importance of surveillance and monitoring. Funding: The research did not receive external funding. Translation of the abstract in German, French and Italian are available in the Supplementary section.

Use of sodium-glucose co-transporter 2 inhibitors, changes in body mass index and risk of fracture: A population-based cohort study.

AIMS: Sodium-glucose co-transporter-2 (SGLT-2) inhibitor-induced weight loss might play a role in the debated elevated fracture risk with these agents. The aim of the current study was to investigate the association between SGLT-2 inhibitor use, changes in body mass index (BMI) and fracture risk. METHODS: A retrospective cohort study was conducted using data from the UK Clinical Practice Research Datalink (CPRD) GOLD (2013-2018). The study population (N = 34,960) consisted of adults with diabetes initiating a sulphonylurea or SGLT-2 inhibitor. Cox proportional hazards models estimated hazard ratios (HRs) for major osteoporotic fracture with SGLT-2 inhibitor use versus sulphonylurea use, stratified by change in BMI, average daily dose and cumulative dose. Analyses were adjusted for age, sex, lifestyle variables, comorbidities, and concomitant drug use. RESULTS: SGLT-2 inhibitor use was not associated with an increased fracture risk compared to sulphonylurea use (adjusted HR 1.19; 95% confidence interval (CI): 0.80-1.79). This finding remained consistent after stratification by BMI change. However, the highest cumulative dose category was associated with an increased fracture risk (adjusted HR: 2.10, 95 %CI: 1.11-3.99). CONCLUSION: SGLT-2 inhibitor use was not associated with increased osteoporotic fracture risk, irrespective of change in BMI. However, a high cumulative dose could be an important risk factor.