Anticholinergic medicines use among older adults before and after initiating dementia medicines

Publisher's version (útgefin grein)Aims: We investigated anticholinergic medicines use among older adults initiating dementia medicines. Methods: We used Pharmaceutical Benefits Scheme dispensing claims to identify patients who initiated donepezil, rivastigmine, galantamine or memantine between 1 January 2013 and 30 June 2017 (after a period of ≥180 days with no dispensing of these medicines) and remained on therapy for ≥180 days (n = 4393), and dispensed anticholinergic medicines in the 180 days before and after initiating dementia medicines. We further examined anticholinergic medicines prescribed by a prescriber other than the one initiating dementia medicines. Results: One-third of the study cohort (1439/4393) was exposed to anticholinergic medicines up to 180 days before or after initiating dementia medicines. Among patients exposed to anticholinergic medicines, 46% (659/1439) had the same medicine dispensed before and after initiating dementia medicines. The proportion of patients dispensed anticholinergic medicines increased by 2.5% (95% confidence interval [CI]: 1.3–3.7) after initiating dementia medicines. Antipsychotics use increased by 10.1% (95% CI: 7.6–12.7) after initiating dementia medicines; driven by increased risperidone use (7.3%, 95% CI: 5.3–9.3). Nearly half of patients dispensed anticholinergic medicines in the 180 days after (537/1133), were prescribed anticholinergic medicines by a prescriber other than the one initiating dementia medicines. Conclusion: Use of anticholinergic medicines is common among patients initiating dementia medicines and this occurs against a backdrop of widespread campaigns to reduce irrational medicine combinations in this vulnerable population. Decisions about deprescribing medicines with questionable benefit among patients with dementia may be complicated by conflicting recommendations in prescribing guidelines.Australian National Health and Medical Research Council (NHMRC) Centre of Research Excellence in Medicines and Ageing, Grant/Award Number: ID: 1060407; Australian Government Department of Industry, Innovation and Science, Grant/Award Number: ID: CRC‐P‐439. This research is funded by the Australian National Health and Medical Research Council (NHMRC) Centre of Research Excellence in Medicines and Ageing (ID: 1060407), a Cooperative Research Centre Project (CRC‐P) Grant from the Australian Government Department of Industry, Innovation and Science (ID: CRC‐P‐439) and philanthropic support from Mr Ross Brown AM. Dr Zoega is supported by a Scientia Fellowship from the University of New South Wales. The views expressed in this study are those of the authors only. A.J.M. receives funding from GlaxoSmithKline for a postgraduate scholarship for a student under his supervision. S.A.P. is a member of the Drug Utilisation Sub‐Committee of the Pharmaceutical Benefits Advisory Committee. The views expressed in this paper do not represent those of the committee.Peer Reviewe

Prescribed medicine use and extent of off-label use according to age in a nationwide sample of Australian children

Funding Information: This research is supported by the National Health and Medical Research Council (NHMRC) Centre of Research Excellence in Medicines Intelligence (ID: 1196900). AS is supported by an NHMRC Early Career Fellowship (ID: 1158763). RC is supported by an NHMRC Emerging Leadership Investigator Grant (ID: 1196516). HZ is supported by a UNSW Scientia Fellowship. NN is supported by the Financial Markets Foundation for Children. CB is supported by an Australian Government Research Training Program Scholarship We thank the Australian Government Services Australia, for providing the data. Open access publishing facilitated by University of New South Wales, as part of the Wiley - University of New South Wales agreement via the Council of Australian University Librarians. Funding Information: This research is supported by the National Health and Medical Research Council (NHMRC) Centre of Research Excellence in Medicines Intelligence (ID: 1196900). AS is supported by an NHMRC Early Career Fellowship (ID: 1158763). RC is supported by an NHMRC Emerging Leadership Investigator Grant (ID: 1196516). HZ is supported by a UNSW Scientia Fellowship. NN is supported by the Financial Markets Foundation for Children. CB is supported by an Australian Government Research Training Program Scholarship Publisher Copyright: © 2022 The Authors. Paediatric and Perinatal Epidemiology published by John Wiley & Sons Ltd.BACKGROUND: Medicine prescribing for children is impacted by a lack of paediatric-specific dosing, efficacy and safety data for many medicines. OBJECTIVES: To estimate the prevalence of medicine use among children and the rate of 'off-label' prescribing according to age at dispensing. METHODS: We used population-wide primarily outpatient dispensing claims data for 15% of Australian children (0-17 years), 2013-2017 (n = 840,190). We estimated prescribed medicine use and 'off-label' medicine use according to the child's age (<1 year, 1-5 years, 6-11 years, 12-17 years) defined as medicines without age-appropriate dose recommendations in regulator-approved product information. Within off-label medicines, we also identified medicines with and without age-specific dose recommendations in a national prescribing guide, the Australian Medicines Handbook Children's Dosing Companion (AMH CDC). RESULTS: The overall dispensing rate was 2.0 dispensings per child per year. The medicines with the highest average yearly prevalence were systemic antibiotics (435.3 per 1000 children), greatest in children 1-5 years (546.9 per 1000). Other common medicine classes were systemic corticosteroids (92.7 per 1000), respiratory medicines (91.2 per 1000), acid-suppressing medicines in children <1 year (47.2 per 1000), antidepressants in children 12-17 years (40.3 per 1000) and psychostimulants in children 6-11 years (27.0 per 1000). We identified 12.2% of dispensings as off-label based on age, but 66.3% of these had age-specific dosing recommendations in the AMH CDC. Among children <1 year, off-label dispensings were commonly acid-suppressing medicines (35.5%) and topical hydrocortisone (33.1%); in children 6-11 years, off-label prescribing of clonidine (16.0%) and risperidone (13.1%) was common. Off-label dispensings were more likely to be prescribed by a specialist (21.7%) than on-label dispensings (7.5%). CONCLUSIONS: Prescribed medicine use is common in children, with off-label dispensings for medicines without paediatric-specific dosing guidelines concentrated in classes such as acid-suppressing medicines and psychotropics. Our findings highlight a need for better evidence to support best-practice prescribing.Peer reviewe

Ambient UV, personal sun exposure and risk of multiple primary melanomas

Sun exposure is the main cause of melanoma in populations of European origin. No previous study has examined the effect of sun exposure on risk of multiple primary melanomas compared with people who have one melanoma

Variants in autophagy-related genes and clinical characteristics in melanoma: a population-based study

Autophagy has been linked with melanoma risk and survival, but no polymorphisms in autophagy-related (ATG) genes have been investigated in relation to melanoma progression. We examined five single-nucleotide polymorphisms (SNPs) in three ATG genes (ATG5; ATG10; and ATG16L) with known or suspected impact on autophagic flux in an international population-based case-control study of melanoma. DNA from 911 melanoma patients was genotyped. An association was identified between (GG) (rs2241880) and earlier stage at diagnosis (OR 0.47; 95% Confidence Intervals (CI) = 0.27-0.81, P = 0.02) and a decrease in Breslow thickness (P = 0.03). The ATG16L heterozygous genotype (AG) (rs2241880) was associated with younger age at diagnosis (P = 0.02). Two SNPs in ATG5 were found to be associated with increased stage (rs2245214 CG, OR 1.47; 95% CI = 1.11-1.94, P = 0.03; rs510432 CC, OR 1.84; 95% CI = 1.12-3.02, P = 0.05). Finally, we identified inverse associations between ATG5 (GG rs2245214) and melanomas on the scalp or neck (OR 0.20, 95% CI = 0.05-0.86, P = 0.03); ATG10 (CC) (rs1864182) and brisk tumor infiltrating lymphocytes (TILs) (OR 0.42; 95% CI = 0.21-0.88, P = 0.02), and ATG5 (CC) (rs510432) with nonbrisk TILs (OR 0.55; 95% CI = 0.34-0.87, P = 0.01). Our data suggest that ATG SNPs might be differentially associated with specific host and tumor characteristics including age at diagnosis, TILs, and stage. These associations may be critical to understanding the role of autophagy in cancer, and further investigation will help characterize the contribution of these variants to melanoma progression

Associations of Cumulative Sun Exposure and Phenotypic Characteristics with Histologic Solar Elastosis

Solar elastosis adjacent to melanomas in histologic sections is regarded as an indicator of sun exposure although the associations of ultraviolet (UV) exposure and phenotype with solar elastosis are yet to be fully explored

Trends in diabetes medication use in Canada, England, Scotland and Australia : a repeated cross-sectional analysis (2012-2017)

Funding: This study was supported by Diabetes Action Canada which is funded, in part, through a Canadian Institutes of Health Research chronic disease network grant under the Strategy for Patient-Oriented Research (Funding Reference number: SCA 145101). Dr Greiver is supported through the Gordon F. Cheesbrough Research Chair in Family and Community Medicine from North York General Hospital. Acquisition of the PBS 10% sample data was supported by a NHMRC Centre of Research Excellence Grant (#1060407) and a Cooperative Research Centre Project Grant from the Australian Department of Industry, Innovation and Science (CRC-P-439). AH was supported by a NSW Health Early-Mid Career Fellowship.Background: Several new classes of glucose lowering medications have been introduced in the past two decades. Some, such as Sodium-glucose cotransporter 2 inhibitors (SGLT2s), have evidence of improved cardiovascular outcomes, while others, such as Dipeptidyl peptidase-4 inhibitors (DPP4s), do not. It is therefore important to identify their uptake, in order to find ways to support the use of more effective medications. Aims: We studied the uptake of these new classes amongst patients with type 2 diabetes. Design and setting: Retrospective repeated cross-sectional analysis. We compared rates of medication uptake in Australia, Canada, England and Scotland. Method: We used primary care Electronic Medical Data on prescriptions (Canada, UK) and dispensing data (Australia) from 2012 to 2017. We included persons aged 40 years or over on at least one glucose-lowering drug class in each year of interest, excluding those on insulin only. We determined proportions of patients in each nation, for each year, on each class of medication, and on combinations of classes. Results: By 2017, data from 238,609 patients were included. The proportion of patients on sulfonylureas (SUs) decreased in three out of four nations, while metformin decreased in Canada. Use of combinations of metformin and new drug classes increased in all nations, replacing combinations involving SUs. In 2017 more patients were on DPP4s (between 19.1% and 27.6%) than on SGLT2s (between 10.1% and 15.3%). Conclusions: New drugs are displacing SUs. However, despite evidence of better outcomes, the adoption of SGLT2s lagged behind DPP4s.Publisher PDFPeer reviewe