Adopting STOPP/START Criteria Version 3 in Clinical Practice: A Q&A Guide for Healthcare Professionals.

The growing complexity of geriatric pharmacotherapy necessitates effective tools for mitigating the risks associated with polypharmacy. The Screening Tool of Older Persons' Potentially Inappropriate Prescriptions (STOPP)/Screening Tool to Alert doctors to Right Treatment (START) criteria have been instrumental in optimizing medication management among older adults. Despite their large adoption for improving the reduction of potentially inappropriate medications (PIM) and patient outcomes, the implementation of STOPP/START criteria faces notable challenges. The extensive number of criteria in the latest version and time constraints in primary care pose practical difficulties, particularly in settings with a high number of older patients. This paper critically evaluates the challenges and evolving implications of applying the third version of the STOPP/START criteria across various clinical settings, focusing on the European healthcare context. Utilizing a "Questions & Answers" format, it examines the criteria's implementation and discusses relevant suitability and potential adaptations to address the diverse needs of different clinical environments. By emphasizing these aspects, this paper aims to contribute to the ongoing discourse on enhancing medication safety and efficacy in the geriatric population, and to promote more person-centred care in an aging society.

Risk of Mortality Associated with Potentially Inappropriate Medication Use Including Opioids in Older Adults.

INTRODUCTION AND OBJECTIVE: As the population ages, understanding the potential risks associated with inappropriate medication use becomes increasingly important. Given the lack of studies in this area, our objective was to study the risk of mortality associated with potentially inappropriate medication use involving opioids in community-dwelling older adults. METHODS: Data came from a longitudinal study on older adults aged ≥ 65 years recruited in primary care clinics between 2011 and 2013 with an average follow-up of 4.25 years. Older adults were excluded if they used an opioid or had a malignant tumor diagnosis in the year before the study survey. A nested case-control within a cohort of older adults with at least one opioid claim during follow-up was used to evaluate the risk of all-cause mortality. Four controls per case were matched on follow-up time using risk-set sampling, i.e., while still at risk of death when their matched case died. The risk of mortality was estimated using conditional logistic regression analyses. Exposure to potentially inappropriate medication use involving opioids, defined using the Beers 2019 criteria, was assessed from provincial drug claims data in the 0-90 days before death. RESULTS: In a cohort of 472 community-dwelling older adults with an incident episode of opioid use, there were 40 cases matched to 160 controls. Exposure to inappropriate medication use involving opioids in the 90 days before death was associated with an increased risk of mortality (odds ratio 6.81, 95% confidence interval 1.69-27.47), after adjusting for potential confounders. CONCLUSIONS: Exposure to inappropriate medication use involving opioids in the 90 days before death is associated with an increased risk of mortality in older adults. These findings can be used to encourage safer pain management strategies in older adults.

Learning of clinical pharmacology by future prescribers in Bologna: Teachers' and students' reflections on the way forward.

AIMS: In this reflection paper, the authors, based on their experience as teachers and students of the courses of Pharmacology at the University of Bologna, reflect on their specific roles towards innovation in the teaching of Clinical Pharmacology. METHODS: Strengths, weaknesses and challenges are presented as identified during the teaching and learning experience in the currently evolving medical degree programmes of the University in light of current trends in medical education. RESULTS: Keeping in mind the identified challenges together with the features proposed for the model prescriber (knowledgeable, contemporary, communicative and safe), we indicate some ways to improve the students' experience and make sure they develop up-to-date skills in Clinical Pharmacology taking advantage of recent ongoing collaborations at European level. International collaboration is indeed necessary to adequately address the current challenges of teaching clinical pharmacology. CONCLUSION: Our shared conclusion is that empowering students with a scientifically sound method to retrieve relevant information and developing their skills to communicate in an interprofessional and, wherever possible, international environment is the key to prepare future prescribers and, ultimately, to improve patient safety.

ADHD medications use and risk of mortality and unintentional injuries: a population-based cohort study.

We assessed the association between the use of medications for attention-deficit/hyperactivity disorder (ADHD) and the risk of all-cause mortality and unintentional injuries leading to emergency department (ED) or hospital admission in individuals aged ≤24 years with ADHD. We conducted a population-based retrospective cohort study between 2000 and 2021 using Quebec health administrative data. Individuals were followed from the first ADHD diagnosis or ADHD medication claim until turning 25, death, or study end. Exposure was defined as mutually exclusive episodes of ADHD medication use and/or coverage under the public provincial drug plan (PDP): 1) covered and not treated with ADHD medication; 2) covered and treated with ADHD medication; and 3) not covered under the PDP. The risk of all-cause mortality and unintentional injuries associated with exposure episodes was estimated using multivariable survival analyses. The cohort included n = 217 192 individuals aged 1-24 years with a male to female ratio of close to 2:1. Compared to non-medication use, episodes of ADHD medication use, overall, were associated with reduced all-cause mortality (adjusted hazard ratio, aHR 0.61, 95% CI 0.48-0.76) and unintentional injury leading to ED (0.75, 0.74-0.77) or hospitalisation (0.71, 0.68-0.75). Episodes of stimulants were associated with a lower risk of all-cause mortality and reduced risk of unintentional injuries, while episodes with non-stimulants and with both stimulants and non-stimulants concomitantly were associated with reduced risk of unintentional injuries, but not of all-cause mortality. Although residual confounding cannot be excluded, stimulants may have a protective effect in terms of risk of all-cause mortality and both stimulants and non-stimulants for ADHD may reduce the risk of unintentional injuries. The findings of the current study should inform clinical decision making on the choice of starting a pharmacological treatment for ADHD, when a balance needs to be struck between expected benefits and possible risks.

Medical cannabis authorization and risk of emergency department visits and hospitalization due to psychotic disorders: A propensity score-matched cohort study.

Despite evidence showing that recreational cannabis use is associated with a higher risk of psychotic disorders, this risk has not been well characterized for patients using medical cannabis. Therefore, this study assessed the risk of emergency department (ED) visits and hospitalization for psychotic disorders (the study outcome) among adult patients authorized to use medical cannabis. We performed a retrospective cohort study on patients authorized to use medical cannabis in a group of Ontario cannabis clinics between 2014 and 2019. Using clinical and health administrative data, each patient was matched by propensity scores to up to 3 population-based controls. Conditional Cox proportional hazards regressions were used to assess the risk. Among 54,006 cannabis patients matched to 161,265 controls, 39 % were aged ≤50 years, and 54 % were female. Incidence rates for psychotic disorders were 3.00/1000 person-years (95%CI: 2.72-3.32) in the cannabis group and 1.88/1000 person-years (1.75-2.03) in the control group. A significant association was observed, with an adjusted hazard ratio of 1.38 (95%CI: 1.19-1.60) in the total sample and 1.63 (1.40-1.91) in patients without previous psychotic disorders. The results suggest that cannabis authorization should include a benefit-risk assessment of psychotic disorders to minimize the risk of events requiring emergency attention.

Dosing of Cannabinoids Associated with an Opioid-Sparing Effect: A Systematic Review of Longitudinal Studies.

OBJECTIVE: To assess cannabinoid dosing that could be associated with a reduction in opioid use. DESIGN: Systematic review conducted according to the PRISMA statement. DATA SOURCES: PubMed, Embase, Web of Science, and PsycINFO were searched up to December 10, 2022. REVIEW/ANALYSIS METHODS: We included randomized controlled trials (RCT) and longitudinal observational studies assessing cannabinoids effect on opioid use in patients with acute or chronic pain. Two reviewers independently assessed the studies for inclusion and extracted the data. Tetrahydrocannabinol (THC), Cannabidiol (CBD), and other cannabinoids with dosing were the exposures. Change in opioid doses and opioid discontinuation were the outcomes. RESULTS: Fifteen studies (including seven RCTs) were included. Eight studies (six observational and two RCTs) were conducted among patients with chronic pain including three with cancer-related pain. Seven studies involved patients with acute pain (five RCTs).In chronic non-cancer pain patients, two observational studies that assessed THC and CBD in combination (average daily dose 17mg/15mg), and one that assessed a CBD-rich extract (31.4 mg/day), showed a significant reduction in opioid use. Of the three studies conducted on patients with cancer, only the observational study that assessed nabilone (average 1.7 mg/day) showed a significant reduction in opioid use. In patients with acute pain, only two observational studies that assessed dronabinol (5mg and 5-10 mg/day for four days) showed a significant reduction in opioid use. CONCLUSION: The opioid-sparing effect of cannabinoids remains uncertain based on current evidence. However, attention could be paid to cannabinoid doses associated with opioid reduction in included observational studies.

Psychotropic medication use pre and post-diagnosis of cluster B personality disorder: a Quebec's health services register cohort.

Background: Cluster B personality disorders (PDs) are considered some of the most severe mental health conditions. Scarce evidence exists about the real-world utilization of psychotropics for cluster B PD individuals. Objective: We aimed to uncover trends and patterns of psychotropic medication use among individuals diagnosed with cluster B PD in the year before and after their diagnosis and to identify factors associated with medication use in a large cohort of individuals newly diagnosed with cluster B PDs. Methods: We conducted a population-based observational study using Quebec's health services register. We identified Quebec residents aged ≥14 years and insured with the provincial drug plan with a first diagnosis of cluster B PD recorded between April 1, 2002, and March 31, 2019. Cluster B PD was defined with ICD-9/10 diagnostic codes. We retrieved all claims for the main psychotropic medication classes: antipsychotics, antidepressants, anxiolytics, mood stabilizers, and attention-deficit/hyperactivity disorder (ADHD) medications. We calculated the proportion of individuals exposed to these medication classes and analyzed trends over the years using robust Poisson regression models, adjusting for potential confounders. We used robust Poisson regression to identify factors associated with medication class use. Results: We identified 87,778 new cases of cluster B PD, with a mean age of 44.5 years; 57.5% were women. Most frequent psychiatric comorbidities in the five years before cluster B PD diagnosis were depression (50.9%), anxiety (49.7%), and psychotic disorders (37.5%). Most individuals (71.0%) received at least one psychotropic during the year before cluster B PD diagnosis, and 78.5% received at least one of these medications in the subsequent year. The proportion of users increased after the diagnosis for antidepressants (51.6-54.7%), antipsychotics (35.9-45.2%), mood stabilizers (14.8-17.0%), and ADHD medications (5.1-5.9%), and remained relatively stable for anxiolytics (41.4-41.7%). Trends over time showed statistically significant increased use of antipsychotics and ADHD medications, decreased use of anxiolytics and mood stabilizers, and a stable use of antidepressants. Conclusion: Psychotropic medication use is highly prevalent among cluster B PD individuals. We observed an increase in medication use in the months following the diagnosis, particularly for antipsychotics, antidepressants, and mood stabilizers.

Health care system costs related to potentially inappropriate medication use involving opioids in older adults in Canada.

BACKGROUND: Older adults are at risk of potentially inappropriate medication use given polypharmacy, multimorbidity, and age-related changes, which contribute to the growing burden associated with opioid use. The objective of this study was to estimate the costs of health service utilization attributable to opioid use and potentially inappropriate medication use involving opioids in older adults in a public health care system. METHODS: The sample included 1201 older adults consulting in primary care, covered by the public drug plan, without a cancer diagnosis and opioid use in the year before interview. Secondary analyses were conducted using two data sources: health survey and provincial administrative data. Health system costs included inpatient and outpatient visits, physician billing, and medication costs. Unit costs were calculated using annual financial and activity reports from 2013-2014, adjusted to 2022 Canadian dollars. Opioid use and potentially inappropriate medication use involving opioids were identified over 3 years. Generalized linear models with gamma distribution were employed to model 3-year costs associated with opioid use and potentially inappropriate medication use involving opioids. A phase-based approach was implemented to provide descriptive results on the costs associated with each phase: i) no use, ii) opioid use, and iii) potentially inappropriate medication use involving opioids. RESULTS: Opioid use and potentially inappropriate medication use involving opioids were associated with adjusted 3-year costs of $2,222 (95% CI: $1,179-$3,264) and $8,987 (95% CI: $7,370-$10,605), respectively, compared to no use. In phase-based analyses, costs were the highest during inappropriate use. CONCLUSIONS: Potentially inappropriate medication use involving opioids is associated with higher costs compared to those observed with opioid use and no use. There is a need for more effective use of health care resources to reduce costs for the health care system.

The environmental impact of pharmaceuticals in Italy: Integrating healthcare and eco-toxicological data to assess and potentially mitigate their diffusion to water supplies.

Pharmaceuticals can reach the environment at all stages of their lifecycle and accumulate in the ecosystem, potentially reaching toxic levels for animals and plants. In recent years, efforts have been made to map and control this hazard. Assessing country-specific environmental risks could drive regulatory actions towards eco-friendlier drug utilization and disposal practices. By starting from a list of 25 environmentally hazardous pharmaceuticals developed by Region Stockholm, we integrated eco-toxicological and 2019-2021 Italian drug utilization data to estimate the environmental impact of pharmaceuticals in Italy. We calculated the risk as the ratio between the predicted environmental concentration (PEC) and the predicted no-effect concentration (PNEC). We found a high risk for levonorgestrel, ciprofloxacin, amoxicillin, azithromycin, venlafaxine, sertraline and diclofenac and a moderate risk for ethinyloestradiol, oestradiol and clarithromycin. This analysis can be periodically performed to identify the pharmaceuticals with the highest risk for the environment and ascertain if containment measures should be implemented.

Changes in self-rated physical and mental health and life satisfaction associated with opioid and potentially inappropriate opioid prescribing in primary care older adults.

OBJECTIVE: To examine changes in life satisfaction and physical and mental health associated with opioid and potentially inappropriate opioid prescribing (PIOP) among older adults. METHODS: Secondary data analysis from the Étude sur la Santé des Aînés (ESA)-Services study. The sample consisted of 945 older adults recruited in primary care with available health survey information linked to administrative medical record data. The exposure of interest was categorized as no prescription, opioid prescription, and PIOP, defined using the Beers criteria. Outcomes were self-rated physical health, mental health, and life satisfaction measured at baseline and at a 3-year follow-up. Generalized estimating equations were used to examine 3-year changes in outcomes as a function of opioid prescribing. Analyses were adjusted for covariates relating to health, psychosocial, and sociodemographic factors as well as duration/frequency of opioid prescribing. Analyses were conducted in the overall sample and in non-cancer patients. RESULTS: The sample had an average age of 73.1 years; the majority was Canadian-born (96.3%) while females made up over half (55.4%) the sample. Compared to not receiving an opioid prescription, PIOP was associated with a deterioration in physical health (ORadjusted = 0.65; 95%CI = 0.49, 0.86), but not mental health and life satisfaction. In non-cancer patients, PIOP was associated with poorer physical health (ORadjusted = 0.59; 95%CI = 0.40, 0.87) and opioid prescribing was marginally associated with improved life satisfaction (ORadjusted = 1.58; 95%CI = 0.96, 2.60). CONCLUSION: PIOP was associated with a deterioration in physical health. Patient-centred chronic pain management and the effect on health and well-being require further study in older adults.

Psychiatric and non-psychiatric polypharmacy among older adults with schizophrenia: Trends from a population-based study between 2000 and 2016.

Background: Schizophrenia is a severe psychiatric disorder associated with multiple psychiatric and non-psychiatric comorbidities. As adults with schizophrenia age, they may use many medications, i.e., have polypharmacy. While psychiatric polypharmacy is well documented, little is known about trends and patterns of global polypharmacy. This study aimed to draw a portrait of polypharmacy among older adults with schizophrenia from 2000 to 2016. Methods: This population-based cohort study was conducted using the data of the Quebec Integrated Chronic Disease Surveillance System of the National Institute of Public Health of Quebec to characterize recent trends and patterns of medication use according to age and sex. We identified all Quebec residents over 65 years with an ICD-9 or ICD-10 diagnosis of schizophrenia between 2000 and 2016. We calculated the total number of medications used by every individual each year and the age-standardized proportion of individuals with polypharmacy, as defined by the usage of 5+, 10+, 15+, and 20+ different medications yearly. We identified the clinical and socio-demographic factors associated with polypharmacy using robust Poisson regression models considering the correlation of the responses between subjects and analyzed trends in the prevalence of different degrees of polypharmacy. Results: From 2000 to 2016, the median number of medications consumed yearly rose from 8 in 2000 to 11 in 2016. The age-standardized proportion of people exposed to different degrees of polypharmacy also increased from 2000 to 2016: 5+ drugs: 76.6%-89.3%; 10+ drugs: 36.9%-62.2%; 15+: 13.3%-34.4%; 20+: 3.9%-14.4%. Non-antipsychotic drugs essentially drove the rise in polypharmacy since the number of antipsychotics remained stable (mean number of antipsychotics consumed: 1.51 in 2000 vs. 1.67 in 2016). In the multivariate regression, one of the main clinically significant factor associated with polypharmacy was the number of comorbidities (e.g., Polypharmacy-10+: RR[2 VS. 0-1] = 1.4; 99% IC:1.3-1.4, RR[3-4] = 1.7 (1.7-1.8); RR[5+] = 2.1 (2.1-2.2); Polypharmacy-15+: RR[2 VS 0-1] = 1.6; 99% IC:1.5-1.7, RR[3-4] = 2.5 (2.3-2.7); RR[5+] = 4.1 (3.8-4.5). Conclusion: There was a noticeable increase in polypharmacy exposure among older adults with schizophrenia in recent years, mainly driven by non-antipsychotic medications. This raises concerns about the growing risks for adverse effects and drug-drug interactions in this vulnerable population.

Multimorbidity Treatment Burden Questionnaire (MTBQ): Translation, Cultural Adaptation, and Validation in French-Canadian.

Reliable treatment burden measures are needed given the aging population and the associated increase in multimorbidity and polypharmacy. Treatment burden is defined as the effort to care for one's health and the resulting impact on one's daily life. This study aimed to translate the Multimorbidity Treatment Burden Questionnaire (MTBQ) for French-Canadians and assess its reliability and validity. The MTBQ was translated and tested with cognitive debriefing interviews, and the French version (MTBQ-F) was then administered 2 times among 105 participants. Reliability and validity were examined using the intra-class correlation coefficient (ICC), Cronbach's alpha, and Spearman's correlations. The median global MTBQ-F scores were 32.69 (interquartile range [IQR]: 21.15-48.08) and 30.77 (IQR: 21.15-46.15) for the first and second administrations, respectively. Test-retest (ICC: 0.73; 95% CI: 0.63-0.81) and internal consistency reliability (Cronbach's alpha: 0.80) were good. There was a moderate positive correlation between the MTBQ-F score and the number of self-reported conditions (rho: 0.28). This valid instrument could identify patients experiencing a high treatment burden and assess the impact of interventions among them.

Strategies and Tools for Supporting the Appropriateness of Drug Use in Older People.

Through this structured review of the published literature, we aimed to provide an up-to-date description of strategies (human-related) and tools (mainly from the digital field) facilitating the appropriateness of drug use in older adults. The evidence of each strategy and tool's effectiveness and sustainability largely derives from local and heterogeneous experiences, with contrasting results. As a general framework, three main steps should be considered in implementing measures to improve appropriateness: prescription, acceptance by the patient, and continuous monitoring of adherence and risk-benefit profile. Each step needs efforts from specific actors (physicians, patients, caregivers, healthcare professionals) and dedicated supporting tools. Moreover, how to support the appropriateness also strictly depends on the particular setting of care (hospital, ambulatory or primary care, nursing home, long-term care) and available economic resources. Therefore, it is urgent assigning to each approach proposed in the literature the following characteristics: level of effectiveness, strength of evidence, setting of implementation, needed resources, and issues for its sustainability.

Factors associated with potentially inappropriate opioid use in community-living older adults consulting in primary care.

OBJECTIVE: To study the factors associated with opioid use and potentially inappropriate opioid use (PIOU) in primary care older adults with non-cancer pain referring to the conceptual framework developed by the American Agency for Healthcare Research and Quality. METHODS: This is a secondary analysis of health survey and medico-administrative data from Québec, Canada. Individuals aged ≥65 were recruited between 2011 and 2013 in primary care clinics to participate in face-to-face interviews. The sample included 945 older adults without a malignant tumor over the study period or any tumor in the 2 years surrounding opioid use. Opioid use within a 3 year follow-up period was identified from the public drug plan database. Potentially inappropriate opioid use (PIOU) was defined using the American Geriatrics Society Beers 2019 list. Multinomial regression analyses were performed to study the factors (patient, pain, substance use, provider, healthcare system) associated with opioid use and PIOU. RESULTS: In this sample of older adults, 26.2% used an opioid and 18.4% were categorized as PIOU. Factors associated with PIOU compared to opioid use included female sex, higher psychological distress, number of emergency department visits, and recruitment type of healthcare practice. Factors associated with PIOU compared to no use included female sex, country of origin, presence of a trauma, physical/psychiatric multimorbidity, number of outpatient consultations, pain severity/type, and number of prescribers. CONCLUSIONS: Mental health and health system factors were associated with PIOU. Results highlights the importance of a multidisciplinary approach for pain management, and the urgent need for implementing organizational efforts to optimize opioid use in primary care.

What methods are used to study the association between medication adherence trajectories, estimated with the group-based trajectory modeling (GBTM) method, and health-related outcomes?-a protocol for a systematic review.

BACKGROUND: The group-based trajectory modeling (GBTM) method is increasingly used in pharmacoepidemiologic studies to describe medication adherence trajectories over time. However, assessing the associations between these medication adherence trajectories and health-related outcomes remains challenging. The purpose of this review is to identify and systematically review the methods used to assess the association between medication adherence trajectories, estimated from the GBTM method, and health-related outcomes. METHODS: We will conduct a systematic review according to the recommendations of the Cochrane handbook for systematic reviews of interventions 6.2. Results will be reported following PRISMA 2020 (Preferred Reporting Items for Systematic Reviews and Meta-analyses) recommendations. We will search in the following databases: PubMed, Embase, PsycINFO, Web of Science, CINAHL, and Cochrane Library. Two reviewers will independently select articles and extract data. Discrepancies at every step will be resolved through discussion, and consensus will be reached for all disagreed articles. A third reviewer will act as a referee if needed. We will produce tables to synthesize the modalities used to estimate medication adherence trajectories with GBTM. We will also synthesize the modalities used to assess the association between these medication adherence trajectories and health-related outcomes by identifying the types of health-related outcomes studied and how they are defined, the statistical models used, and how the medication adherence trajectories were used in these models, and the effect measure yield. We will also review the limitations and biases reported by the authors and their attempts to mitigate them. We will provide a narrative synthesis. DISCUSSION: This review will provide a thorough exploration of the strategies and methods used in medication adherence research to estimate the associations between medication adherence trajectories, estimated with GBTM, and the different health-related outcomes. It will represent the first crucial steps toward optimizing these methods in adherence studies. SYSTEMATIC REVIEW REGISTRATION: Prospero CRD42021213503 .

Global prevalence of antidepressant drug utilization in the community: protocol for a systematic review.

INTRODUCTION: Antidepressant drugs are the most frequently prescribed medication for mental disorders. They are also used off-label and for non-psychiatric indications. Prescriptions of antidepressants have increased in the last decades, but no systematic review exists on the extent of their use in the community. METHODS AND ANALYSIS: We will conduct a systematic review to estimate the prevalence of antidepressant use in the community. We will search for studies published from 1 January 2010 in the Embase and MEDLINE databases using a combination of controlled vocabulary and keywords adjusted for each database without any language restriction. The main inclusion criterion is the presence of prevalence data of antidepressant utilization. Thus, we will include all studies with a descriptive observational design reporting the prevalence of antidepressant use in the community. Study selection (by title/abstract and full-text screening) and data extraction for included studies will be independently conducted by pairs of reviewers. We will then synthesize the data on the prevalence of antidepressant use in individuals living in the community. If possible, we will perform a meta-analysis to generate prevalence-pooled estimates. If the data allows it, we will conduct subgroup analyses by antidepressant class, age, sex, country and other sociodemographic categories. We will evaluate the risk of bias for each included study through a quality assessment using the Joanna Briggs Institute Critical Appraisal tool: Checklist for Studies Reporting Prevalence Data. DistillerSR software will be used for the management of this review. ETHICS AND DISSEMINATION: Ethical approval is not required for this review as it will not directly involve human or animal subjects. The findings of our systematic review will be disseminated through publications in peer-reviewed journals, the Qualaxia Network (https://qualaxia.org), presentations at international conferences on mental health and pharmacoepidemiology, as well as general public events. PROSPERO REGISTRATION NUMBER: CRD42021247423.

Depression and the risk of hospitalization in type 2 diabetes patients: A nested case-control study accounting for non-persistence to antidiabetic treatment.

INTRODUCTION: Depression is one of the most common comorbidities of type 2 diabetes. The relationship between these two diseases seems to be bidirectional. Both conditions separately lead to significant morbidity and mortality, including hospitalization. Moreover, depression is associated with non-persistence with antidiabetic drugs. OBJECTIVES: To measure the effect of depression on morbidity and particularly on all-cause, diabetes-related, cardiovascular-related and major cardiovascular events-related hospitalization, adjusting for non-persistence to antidiabetic drugs and other confounders. METHODS: We performed a nested case-control study within a cohort of type 2 diabetic individuals initiating antidiabetic drugs. Using the health administrative data of the province of Quebec, Canada, we identified all-cause, diabetes-related, cardiovascular-related and major cardiovascular hospitalizations during a maximum follow-up of eight years after the initiation of antidiabetic drug treatment. A density sampling method matched all cases with up to 10 controls by age, sex, and the Elixhauser comorbidity index. The effect of depression on hospitalization was estimated using conditional logistic regressions adjusting for non-persistence to antidiabetic drug treatment and other variables. RESULTS: We identified 41,550 all-cause hospitalized cases, of which 34,437 were related to cardiovascular (CV) diseases, 29,584 to diabetes, and 13,867 to major CV events. Depression was diagnosed in 2.51% of all-cause hospitalizations and 1.16% of matched controls. 69.11% of cases and 72.59% of controls were on metformin monotherapy. The majority (71.62% vs 75.02%, respectively) stayed on metformin monotherapy without adding or switching drugs during follow-up. Non-persistence was at similar rates (about 30%) in both groups. In the multivariable analyses, depression was associated with an increased risk for all-cause hospitalizations, with odds ratios (ORs) ranging from 2.21 (95% CI: 2.07-2.37) to 1.32 (95% CI: 1.22-1.44) according to the model adjustment (from the univariate to the fully adhjusted). CONCLUSION: Depression increased the risk of all-cause hospitalizations among patients treated for diabetes, even after accounting for non-persistence and other potentially confounding factors. These results stress the impact of depression on diabetic patients' use of health care resources.

Trends in benzodiazepine and alternative hypnotic use in relation with multimorbidity among older adults in Quebec, Canada.

BACKGROUND: Benzodiazepines and other hypnotic alternatives are associated with increased risks of adverse events. Heightened awareness of risks may have changed prescribing habits over the years. However, these trends are not fully described, especially in vulnerable people such as multimorbid older adults. OBJECTIVE: We aimed to describe the annual prevalence of benzodiazepine and other hypnotic use in relation to multimorbidity among older adults in the province of Quebec, Canada, from 2000 to 2016. METHOD: We conducted a population-based study using the Quebec Integrated Chronic Disease Surveillance System. We included all individuals aged ≥66 years covered by the public drug plan. For each year, we evaluated the sex- and age-standardized proportion of benzodiazepine and other hypnotic users, defined as individuals with at least one drug claim in the year. We stratified our results according to multimorbidity and used log-binomial regression to study trends. RESULTS: The proportion of individuals using benzodiazepines decreased from 34.8% in 2000 to 24.8% in 2016 (p for trend <0.001). Multimorbid people (≥2 chronic diseases) remained the highest users over the years, with 43.3% and 30.6% of them being users in 2000 and 2016, respectively. Conversely, the proportion of users increased for other hypnotics, particularly for trazodone and quetiapine, rising from 5.4% to 8.4% (p < 0.001), and especially among multimorbid individuals (from 7.4% to 11.6%). CONCLUSION: Older adults used benzodiazepines less frequently but quetiapine and trazodone more frequently in recent years. The use of these medications, particularly in multimorbid people at risk of adverse events, must be addressed.

Is it time to consider depression as a major complication of type 2 diabetes? Evidence from a large population-based cohort study.

AIMS: Depression in type 2 diabetes may heavily affect the course of the disease. In this study, we investigated, among new cases with type 2 diabetes, the incidence and clinical predictors of depression and determined the extent to which depression constitutes a risk factor for acute and long-term diabetes complications and mortality. METHODS: In this population-based retrospective cohort study, incident cases of type 2 diabetes without a prior history of depression were identified from the administrative databases of the Emilia-Romagna Region, Italy, between 2008 and 2017 and followed up until 2020. Logistic regression models were used to identify the predictors of depression. Cox regression models were used to estimate the risk of acute complications over three years, and the risk of long-term complications and mortality over ten years. RESULTS: Incident cases with type 2 diabetes were 30,815, of whom 5146 (16.7%) developed depression. The predictors of depression onset were as follows: female sex, age > 65 years, living in rural areas and comorbid diseases. Depression in type 2 diabetes was associated with a 2.3-fold risk of developing acute complications, 1.6-fold risk of developing long-term complications and 2.8-fold mortality risk. CONCLUSIONS: Our findings highlight that depression is associated with an increased risk for complications in type 2 diabetes and mortality and should not be neglected. Therefore, it is important to promote screening activities and introduce targeted and personalized treatment for depression in order to reduce the risk of poor short- and long-term outcomes of diabetes.

Morbidities and mortality of diagnosed attention deficit hyperactivity disorder (ADHD) over the youth lifespan: A population-based retrospective cohort study.

OBJECTIVES: To estimate the prevalence of ADHD, and related comorbidities, mortality, and type of health service use among children and young adults, using different case definitions. METHODS: We conducted a population-based retrospective cohort study between 2000 and 2018, using the Quebec Integrated Chronic Disease Surveillance System (QICDSS) database. All residents aged less than 25 years eligible for health insurance coverage were included. We compared outcomes of three indicators (morbidity, services use and mortality) according two different algorithms of ADHD definitions, to the general population. RESULTS: The cumulative prevalence of ADHD has risen steadily over the past decade, reaching 12.6% in 2017-2018. People with ADHD have a higher prevalence of psychiatric comorbidities, make greater use of medical, mental health services, and are hospitalized more often. The comparison of prevalence between the two algorithms and the general population for the three indicators showed that the cohort having one claim was very close to that with two or more, and statistically significant higher to that of people without ADHD. CONCLUSION: This finding support that a single claim algorithm for ADHD can be used for case definition. More research is needed on the impact of potentially effective treatments in improving consequences of ADHD.