Drug exposure in register-based research-An expert-opinion based evaluation of methods

Determining Drug Exposure Based on Medication Dispensing Data: A Validation Study of Vitamin K Antagonist Treatment Episodes Against INR Records

BACKGROUND

In pharmaco-epidemiological studies using vitamin K antagonist (VKA) exposure, constructing treatment episodes based on dispensed prescriptions is challenging, particularly due to the large variability in therapeutic dose.

OBJECTIVES

To validate different methods of constructing VKA treatment episodes based on dispensed prescriptions, using VKA exposure based on international normalized ratio (INR) measurements as a reference.

METHODS

Data from five Dutch anticoagulation clinics were linked to VKA dispensing data from Statistics Netherlands. Three random samples of 10 000 VKA users between 2013 and 2019 were used to compare the construction of VKA treatment episodes based on dispensings, applying fixed or dynamic methods, against the reference of exposure based on INR measurements. A total of 60 different methods were validated by computing the percentage of INR measurements occurring outside dispensing-based VKA treatment episodes, the ratio of VKA-exposed person-time based on dispensings vs. INR measurements, and the number of dispensing-based episodes.

RESULTS

Depending on the method used to construct treatment episodes, 14.8%-42.2% of the INR measurements were not covered by a dispensing-based episode. The VKA-exposed person-time ratio ranged between 0.73 and 1.13, and there was substantial variability in the number of dispensing-based episodes. Fixed methods resulted in a lower percentage of INR measurements outside the dispensing-based episodes, a VKA-exposed person-time ratio closer to 1.0, and a lower number of constructed episodes.

CONCLUSION

Fixed methods performed better than dynamic methods when classifying VKA exposure based on dispensing data. Our findings may guide other researchers working with VKA dispensing data, especially when the tablets dispensed or the prescribed dose are unavailable.

The Role of Antipsychotics and Mood Stabilizers in Preventing Sickness Absence Among Employed Individuals With Bipolar Disorder: A Nationwide Register-Based Study

INTRODUCTION

Medication use may significantly affect work ability in bipolar disorder, but this area has been largely overlooked in research. We aimed to investigate how specific mood stabilizer and antipsychotic agents are associated with the risk of sickness absence among employed individuals with bipolar disorder.

METHODS

We identified a nationwide cohort of 22,408 employed individuals with bipolar disorder, including 10,000 first-episode cases, and followed them from 2005 to 2018 through the nationwide administrative registers. The risk of sickness absence was analyzed using within-individual Cox regression where each person serves as their own control to eliminate selection bias.

RESULTS

In the whole cohort, the monotherapies of lithium (HR = 0.75, 95% CI = 0.66-0.84), valproate (HR = 0.77, 0.70-0.85), and lamotrigine (HR = 0.87, 0.80-0.95) were associated with a lower risk of sickness absence than nonuse of mood stabilizers. In contrast, pregabalin monotherapy was associated with an increased risk of sickness absence (HR = 1.63, 1.34-1.99). Of antipsychotics, olanzapine was associated with a lower risk of sickness absence (HR = 0.75, 0.66-0.86) than antipsychotic nonuse. In the first-episode sample, lithium (HR = 0.51, 0.41-0.64), valproate (HR = 0.63, 0.52-0.75), lamotrigine (HR = 0.79, 0.68-0.91), and olanzapine (HR = 0.69, 0.54-0.87) monotherapies were associated with a lower hazard of sickness absence than nonuse.

CONCLUSIONS

Mood stabilizers including lithium, valproate, and lamotrigine, as well as olanzapine, of antipsychotics may reduce the risk of sickness absence, particularly, in first-episode patients. These findings encourage the continuous use of these medications to support occupational functioning among people with bipolar disorder.

High-dose folic acid use and cancer risk in women who have given birth: A register-based cohort study

OBJECTIVE

This study was undertaken to study whether high-dose folic acid (>1 mg daily) use is associated with an increased risk of cancer in all women who have given birth and in women with epilepsy. High-dose folic acid supplementation during pregnancy has been linked to increased cancer risk in children born to mothers with epilepsy.

METHODS

We identified women with their first pregnancy in Denmark (1997-2017), Norway (2005-2017), and Sweden (2006-2017) using medical birth registers, linking individual data across nationwide health registers and statistical agencies. Exposure was defined as filled prescriptions for high-dose folic acid, considered time-varyingly. The primary outcome was the first malignant cancer diagnosis. Hazard ratios (HRs) of cancer after high-dose folic acid exposure were estimated using Cox proportional hazard models with 95% confidence intervals (CIs), adjusted for confounders including antiseizure medication (ASM) use, and stratified by maternal epilepsy diagnosis. A 6-month time lag was applied, as cancer is unlikely to develop immediately.

RESULTS

With up to 21 years of follow-up, we identified 1 465 785 women who gave birth, including 64 485 (4.4%) exposed to high-dose folic acid. In the exposed group, 755 cancer cases were observed (208 per 100 000 person-years, 95% CI = 193.8-223.5), compared with 18 702 cases in the unexposed group (164 per 100 000 person-years, 95% CI = 161.5-166.2), yielding a 20% increased cancer risk overall (adjusted HR = 1.2, 95% CI = 1.1-1.2). This risk was attenuated after the 6-month lag analysis (adjusted HR = 1.1, 95% CI = 1.04-1.2). The risk for non-Hodgkin lymphoma was increased in all analyses (n = 28, adjusted HR = 2.0, 95% CI = 1.3-2.9). The association between high-dose folic acid use and overall cancer risk was similar in those with epilepsy regardless of ASM use (adjusted HR = 1.3, 95% CI = 1.0-1.8).

SIGNIFICANCE

High-dose folic acid use was associated with increased overall cancer risk in women who have given birth, with a consistent association with non-Hodgkin lymphoma, including those with epilepsy, regardless of ASM use.

Validation of algorithms in studies based on routinely collected health data: general principles

Clinicians, researchers, regulators, and other decision-makers increasingly rely on evidence from real-world data (RWD), including data routinely accumulating in health and administrative databases. RWD studies often rely on algorithms to operationalize variable definitions. An algorithm is a combination of codes or concepts used to identify persons with a specific health condition or characteristic. Establishing the validity of algorithms is a prerequisite for generating valid study findings that can ultimately inform evidence-based health care. In this paper, we aim to systematize terminology, methods, and practical considerations relevant to the conduct of validation studies of RWD-based algorithms. We discuss measures of algorithm accuracy, gold/reference standards, study size, prioritization of accuracy measures, algorithm portability, and implications for interpretation. Information bias is common in epidemiologic studies, underscoring the importance of transparency in decisions regarding choice and prioritizing measures of algorithm validity. The validity of an algorithm should be judged in the context of a data source, and one size does not fit all. Prioritizing validity measures within a given data source depends on the role of a given variable in the analysis (eligibility criterion, exposure, outcome, or covariate). Validation work should be part of routine maintenance of RWD sources. This article is part of a Special Collection on Pharmacoepidemiology.

Risk of prostate cancer death after radical radiotherapy with neoadjuvant and adjuvant therapy with bicalutamide or gonadotropin-releasing hormone agonists

BACKGROUND

Oncological outcome after radical radiotherapy (RRT) combined with neoadjuvant and adjuvant androgen suppression therapy (AST) may differ according to type of AST. The aim of this nationwide register-based study was to investigate risk of prostate cancer (Pca) death after different neoadjuvant and adjuvant ASTs; (i) bicalutamide, (ii) gonadotropin-releasing hormone agonists (GnRH) or (iii) combined bicalutamide and GnRH (CAB), together with RRT.

MATERIALS AND METHODS

Data for 6882 men diagnosed with high-risk Pca between 2007 and 2020 and treated with primary RRT was retrieved from Prostate Cancer data Base Sweden (PCBaSe) 5.0. Time to Pca death according to type of neoadjuvant and adjuvant AST was assessed by use of Kaplan-Meier plots and Cox proportional hazard models adjusted for putative confounders.

RESULTS

Data were stratified by RRT type since the effect of AST in risk of Pca death differed according to type of RRT. Compared with the reference RRT combined with neoadjuvant CAB/adjuvant GnRH, risk of Pca death for men treated with CAB/bicalutamide and conventionally fractionated external beam radiotherapy (CF-EBRT) was hazard ratio (HR) 0.73 (95% CI: 0.50-1.04), hypofractionated EBRT (HF-EBRT), HR 1.35 (95% CI: 0.65-2.81) and EBRT with high dose rate brachytherapy (EBRT-HDRBT), HR 0.85 (95% CI: 0.37-1.95). Risk of Pca death for men treated with bicalutamide/bicalutamide and: (i) CF-EBRT was HR 2.35 (95% CI: 1.42-3.90), (ii) HF-EBRT, HR 0.70 (95% CI: 0.26-1.85), (iii) HF-EBRT, HR 4.07 (95% CI: 1.88-8.77) vs the reference.

CONCLUSION

In this observational study, risk of Pca death between men receiving different combinations of AST varied according to RRT type. No difference was found in risk of Pca death for men treated with bicalutamide or GnRH as adjuvant therapy to RRT following neoadjuvant CAB. Risk of Pca death was increased for men with monotherapy neo-/adjuvant bicalutamide in combination with CF-EBRT or EBRT-HDRBT.

Real-world use of pharmacological treatments for incident bipolar disorder: A Finnish nationwide cohort study

BACKGROUND

Pharmacotherapy remains crucial for treating bipolar disorder (BD), but knowledge on the treatments actually used by newly diagnosed patients in real-world settings is sparse.

METHODS

Individuals newly diagnosed with BD during 1996-2018, aged 15-65 years, were identified from national Finnish registers. The patients' use of different drug classes (mood stabilizers, antipsychotics and antidepressants) or combinations of these drug classes were followed from initial pharmacotherapy (first line) after BD diagnosis until the fifth line of treatment or until the two-year follow-up time ended. Clinical and sociodemographic factors associated with antidepressants-only as the first treatment line were assessed with logistic regression.

RESULTS

82.6 % of all patients used BD medication during the follow-up. 33.9 % had antidepressants-only as the first, 22.9 % as the second and 19.7 % as the third treatment line. Use of combinations of mood stabilizers, antipsychotics and antidepressants increased by successive treatment lines. Factors associated with antidepressants-only as the first treatment line included older age (>45 years aOR 2.20, 95% CI: 2.01-2.40, 25-45 years: 1.55, 1.42-1.68, compared with those aged <25), diabetes (1.35, 1.17-1.55) and female sex (1.29, 1.21-1.37). BD diagnosis registered in 2016-2018 (0.48, 0.42-0.55) and substance abuse (0.77, 0.71-0.83) were associated with decreased odds.

LIMITATIONS

Due to the register-based nature of this study, not all potentially important clinical factors influencing medication use could be controlled for.

CONCLUSIONS

A large proportion of patients with bipolar disorder are not treated according to treatment guidelines, as use of antidepressants alone is common. Reasons for not following evidence-based recommendations need to be further researched.

Medication and rehabilitation of persons applying for disability pension due to depression: a register-based retrospective study from Finland

PURPOSE

To investigate how drug therapies and rehabilitation options have been utilised before applying for a disability pension due to depression.

METHODS

A retrospective register-based study of the 3604 persons who applied for a disability pension from the Social Insurance Institution of Finland (Kela) in 2019. In Finland, disability pension is usually preceded by an incapacity for work lasting for 1 year, during which time therapeutic procedures, which were analysed here, are applied.

RESULTS

Approximately half (56.0%) of the applicants had reimbursed purchases of two or more antidepressants during the 12 months preceding the disability pension application. Psychotherapy was received by 13.8% and 19.2% of the applicants 1 and 5 years before application, respectively. The share of applicants receiving some form of rehabilitation 1 year before application was 24.8% and 39.0% in the 5 years preceding application. During the 4 months before application, 19.6% of the applicants had no antidepressant purchases. In total, 12.2% of the applicants had both antidepressant treatment and psychotherapy in the year preceding the application, and 9.9% had neither psychotherapy nor antidepressant treatment.

CONCLUSION

Before applying for disability pension, only a minority of the applicants had received effective treatment for depression in the form of psychotherapy and antidepressants. However, most of the applicants had received some form of treatment, but it appears to have been insufficient.

Real-world effectiveness of pharmacological treatments for bipolar disorder: register-based national cohort study

BACKGROUND

Pharmacological treatment patterns for bipolar disorder have changed during recent years, but for better or worse?

AIMS

To investigate the comparative real-world effectiveness of antipsychotics and mood stabilisers in bipolar disorder.

METHOD

Register-based cohort study including all Finnish residents aged 16-65 with a diagnosis of bipolar disorder from in-patient care, specialised out-patient care, sickness absence and disability pensions registers between 1996 and 2018, with a mean follow-up of 9.3 years (s.d. = 6.4). Antipsychotic and mood stabiliser use was modelled using the PRE2DUP method and risk for hospital admission for psychiatric and non-psychiatric reasons when using versus not using medications was estimated using within-individual Cox models.

RESULTS

Among 60 045 individuals (56.4% female; mean age 41.7 years, s.d. = 15.8), the five medications associated with lowest risk of psychiatric admissions were olanzapine long-acting injection (LAI) (aHR = 0.54, 95% CI 0.37-0.80), haloperidol LAI (aHR = 0.62, 0.47-0.81), zuclopenthixol LAI (aHR = 0.66, 95% CI 0.52-0.85), lithium (aHR = 0.74, 95% CI 0.71-0.76) and clozapine (aHR = 0.75, 95% CI 0.64-0.87). Only ziprasidone (aHR = 1.26, 95% CI 1.07-1.49) was associated with a statistically higher risk. For non-psychiatric (somatic) admissions, only lithium (aHR = 0.77, 95% CI 0.74-0.81) and carbamazepine (aHR = 0.91, 95% CI 0.85-0.97) were associated with significantly reduced risk, whereas pregabalin, gabapentin and several oral antipsychotics, including quetiapine, were associated with an increased risk. Results for a subcohort of first-episode patients (26 395 individuals, 54.9% female; mean age 38.2 years, s.d. = 13.0) were in line with those of the total cohort.

CONCLUSIONS

Lithium and certain LAI antipsychotics were associated with lowest risks of psychiatric admission. Lithium was the only treatment associated with decreased risk of both psychiatric and somatic admissions.

Trends in the use of psychotropics in older people with dementia: interrupted time series of Finnish clinical guidelines of behavioural and psychological symptoms of dementia

BACKGROUND

Up to 90% of people with dementia experience behavioural and psychological symptoms of dementia (BPSD) as part of their illness. Psychotropics are not recommended as the first-line treatment of BPSD because older people are more prone to adverse reactions. In this study, we evaluate the impact of the Finnish clinical guidelines of BPSD (published in 2017) on psychotropic use in people with dementia.

METHODS

This study is based on Finnish Prescription Register data from 2009 to 2020. The data included all community-dwelling Finnish people aged ≥65 and who had anti-dementia medication purchases (n = 217,778). We used three-phased interrupted time series design to evaluate the changes in levels and trends of monthly (n = 144) psychotropic user rates compared with the predicted trends. In addition, we evaluated the changes in levels and trends of monthly new psychotropic user rates.

RESULTS

The level of monthly psychotropic user rate decreased non-significantly during the intervention period (β -0.057, P = 0.853), and during the post-intervention period, there was an increase in the level (β 0.443, P = 0.091) and slope (β 0.199, P = 0.198), but not statistically significant. The level of monthly new psychotropic user rate (β -0.009, P = 0.949) during the intervention period and the level (β 0.044, P = 0.714) and slope (β 0.021, P = 0.705) during the post-intervention period were almost unchanged.

CONCLUSIONS

Results may indicate possible challenges in deprescribing and better adherence to the guidelines at the beginning of BPSD treatment. Further research into the barriers to implement BPSD guidelines and the availability of non-pharmacological treatments is needed.

Association between spironolactone use and COVID-19 outcomes in population-scale claims data: a retrospective cohort study

Background

Spironolactone has been proposed as a potential modulator of SARS-CoV-2 cellular entry. We aimed to measure the effect of spironolactone use on the risk of adverse outcomes following COVID-19 hospitalization.

Methods

We performed a retrospective cohort study of COVID-19 outcomes for patients with or without exposure to spironolactone, using population-scale claims data from the Komodo Healthcare Map. We identified all patients with a hospital admission for COVID-19 in the study window, defining treatment status based on spironolactone prescription orders. The primary outcomes were progression to respiratory ventilation or mortality during the hospitalization. Odds ratios (OR) were estimated following either 1:1 propensity score matching (PSM) or multivariable regression. Subgroup analysis was performed based on age, gender, body mass index (BMI), and dominant SARS-CoV-2 variant.

Findings

Among 898,303 eligible patients with a COVID-19-related hospitalization, 16,324 patients (1.8%) had a spironolactone prescription prior to hospitalization. 59,937 patients (6.7%) met the ventilation endpoint, and 26,515 patients (3.0%) met the mortality endpoint. Spironolactone use was associated with a significant reduction in odds of both ventilation (OR 0.82; 95% CI: 0.75-0.88; p < 0.001) and mortality (OR 0.88; 95% CI: 0.78-0.99; p = 0.033) in the PSM analysis, supported by the regression analysis. Spironolactone use was associated with significantly reduced odds of ventilation for all age groups, men, women, and non-obese patients, with the greatest protective effects in younger patients, men, and non-obese patients.

Interpretation

Spironolactone use was associated with a protective effect against ventilation and mortality following COVID-19 infection, amounting to up to 64% of the protective effect of vaccination against ventilation and consistent with an androgen-dependent mechanism. The findings warrant initiation of large-scale randomized controlled trials to establish a potential therapeutic role for spironolactone in COVID-19 patients.

Comparative effectiveness of mood stabilizers and antipsychotics in the prevention of hospitalization after lithium discontinuation in bipolar disorder

The aim of the study was to compare the real-world effectiveness of mood stabilizers and antipsychotics in the prevention of psychiatric hospitalizations and treatment failure after lithium discontinuation in a nationwide bipolar cohort. Using health-care registers, we identified everyone in Finland diagnosed with bipolar disorder during 1987-2018 who discontinued lithium after using it for at least one year (n = 4 052, median period of lithium use before discontinuation 2.7 years). The risk of psychiatric hospitalization and treatment failure (psychiatric hospitalization, death or change in medication) were investigated with within-individual Cox regression. Of mood stabilizer monotherapies, the periods of valproate use (HR = 0.83, 95% CI = 0.71 - 0.97) had lower risk of hospitalization than nonuse of mood stabilizers. Of antipsychotic monotherapies, the use of long-acting injectable (LAI) antipsychotics (HR = 0.48, 95% CI = 0.26 - 0.88) and chlorprothixene (HR = 0.62, 95% CI = 0.44 - 0.88) were associated with lower risk and the use of quetiapine (HR = 1.26, 95% CI = 1.07 - 1.48) and oral olanzapine (HR = 1.23, 95% CI = 1.01 - 1.49) with higher risk of psychiatric hospitalizations than nonuse of antipsychotics. Of mood stabilizer monotherapies, lithium use was associated with lower risk of treatment failure (HR = 0.82, 95% CI = 0.76 - 0.88) than valproate use. The results suggest that antipsychotic LAIs are especially effective in the prevention of psychiatric hospitalizations after lithium discontinuation. The need to alter used medications may be the lowest when lithium is restarted.

Prevalence of oral anticoagulant use among people with and without Alzheimer’s disease

Background

Although cardio- and cerebrovascular diseases are common among people with Alzheimer’s disease (AD), it is unknown how the prevalence of oral anticoagulant (OAC) use changes in relation to AD diagnosis. We investigated the prevalence of OAC use in relation to AD diagnosis in comparison to a matched cohort without AD.

Methods

Register-based Medication use and Alzheimer’s disease (MEDALZ) cohort includes 70 718 Finnish people with AD diagnosed between 2005–2011. Point prevalence of OAC use (prescription register) was calculated every three months with three-month evaluation periods, from five years before to five years after clinically verified diagnosis and compared to matched cohort without AD. Longitudinal association between AD and OAC use was evaluated by generalized estimating equations (GEE).

Results

OAC use was more common among people with AD until AD diagnosis, (OR 1.17; 95% CI 1.13–1.22), and less common after AD diagnosis (OR 0.87; 95% CI 0.85–0.89), compared to people without AD. At the time of AD diagnosis, prevalence was 23% and 20% among people with and without AD, respectively. OAC use among people with AD began to decline gradually two years after AD diagnosis while continuous increase was observed in the comparison cohort. Warfarin was the most common OAC, and atrial fibrillation was the most common comorbidity in OAC users.

Conclusion

Decline in OAC use among people with AD after diagnosis may be attributed to high risk of falling and problems in monitoring. However, direct oral anticoagulants (DOACs) that are nowadays more commonly used require less monitoring and may also be safer for vulnerable people with AD.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-022-03144-x.

The Random Effects Warfarin Days' Supply (REWarDS) Model: Development and Validation of a Novel Method for Estimating Exposure to Warfarin Using Administrative Data

Warfarin's complex dosing is a significant barrier to measurement of its exposure in observational studies using population databases. Using population-based administrative data (1996-2019) from British Columbia, Canada, we developed a method based on statistical modeling (Random Effects Warfarin Days' Supply (REWarDS)) that involves fitting a random-effects linear regression model to patients' cumulative dosage over time for estimation of warfarin exposure. Model parameters included a minimal universally available set of variables from prescription records for estimation of patients' individualized average daily doses of warfarin. REWarDS estimates were validated against a reference standard (manual calculation of the daily dose using the free-text administration instructions entered by the dispensing pharmacist) and compared with alternative methods (fixed window, fixed tablet, defined daily dose, and reverse wait time distribution) using Pearson's correlation coefficient (r), the intraclass correlation coefficient, and the root mean squared error. REWarDS-estimated days' supply showed strong correlation and agreement with the reference standard (r = 0.90 (95% confidence interval (CI): 0.90, 0.90); intraclass correlation coefficient = 0.95 (95% CI: 0.94, 0.95); root mean squared error = 8.24 days) and performed better than all of the alternative methods. REWarDS-estimated days' supply was valid and more accurate than estimates from all other available methods. REWarDS is expected to confer optimal precision in studies measuring warfarin exposure using administrative data.

Persistence of antidepressant use among refugee youth with common mental disorder

BACKGROUND

The objective of this study was to investigate whether persistence of antidepressant use differs between refugee youth and Swedish-born youth after a diagnosis of a common mental disorder (CMD), and if clinical and sociodemographic factors are associated with antidepressant discontinuation.

METHODS

Youth aged 16-25 years, with an incident diagnosis of CMD (depression, post-traumatic stress disorder (PTSD), anxiety disorders) accessing specialized healthcare in Sweden 2006-2016 were included. New users were identified with a one-year washout period. Refugees (N=1575) were compared with Swedish-born youth (N=2319). Cox regression models [reported as adjusted Hazard Ratios (HRs) with 95% confidence intervals (CIs)] were used to investigate factors associated with discontinuation of antidepressant use.

RESULTS

Among youth (mean age 20.9 years, SD 2.7, 50% females), the median duration of antidepressant use differed considerably between refugee (101 days, IQR 31-243) and Swedish-born youth (252 days, IQR 101-558). Refugees were more likely to discontinue treatment (HR 1.61, 95% CI 1.47-1.77). Factors associated with an increased risk for discontinuation in refugees included ≤5 years duration of formal residency (HR 1.28, 95% CI 1.12-1.45), antidepressant type, and dispensing lag (time from prescription to dispensing) of >7 days (1.43, 1.25-1.64), whereas PTSD (0.78, 0.64-0.97) and anxiolytic use (0.79, 0.64-0.96) were associated with a lower discontinuation risk.

LIMITATIONS

Only persons treated in specialized healthcare could be included.

CONCLUSION

The relatively short treatment durations among refugee youth suggest that antidepressant treatment may not be optimal in CMD, and better monitoring of treatment as well as transcultural education of healthcare personnel are warranted.

Defining the duration of the dispensation of oral anticoagulants in administrative healthcare databases

PURPOSE

In clinical practice, warfarin therapy requires frequent dose adjustments. In pharmacy claims, the days supplied value may not reflect the true duration of warfarin dispensation. This may affect the measures of association comparing the safety of direct oral anticoagulants (DOACs) versus warfarin.

METHODS

Using Quebec healthcare administrative databases, we formed a cohort of 55 230 patients newly treated with oral anticoagulants between 2010 and 2016. The duration of dispensations was defined using two approaches: the recorded days supplied value, and the longitudinal coverage approximation (data-driven) that may account for individual variation in drug usage patterns. Propensity scores adjusted Cox proportional hazards regression models were used to estimate the hazard ratio (HR) of major bleeding with dabigatran or rivaroxaban versus warfarin.

RESULTS

Using the days supplied, the mean (and standard deviation) dispensation durations for dabigatran, rivaroxaban, and warfarin were 19 (15), 19 (14), and 13 (12) days, respectively. Using the data-driven approach, the durations were 20 (16), 19 (15), and 15 (16) days, respectively. The choice of the approach had no impact on the HR estimates.

CONCLUSIONS

In our settings, the data-driven approach closely approximated the recorded days supplied value for the standard dose therapies such as dabigatran and rivaroxaban. For warfarin, the data-driven approach captured more variability in the duration of dispensations compared to the days supplied value, which may better reflect the true drug-taking behavior of warfarin. Both approaches may provide valid estimates when comparing the safety of DOACs versus warfarin.

Antipsychotic Treatment Duration in Children and Adolescents: A Register-Based Nationwide Study

Objective: Despite the increasing use of antipsychotic drugs in children and adolescents in many countries, little is known about the treatment duration in this vulnerable population. The present nationwide study investigated the duration of antipsychotic treatment and factors associated with treatment discontinuation in Finnish children and adolescents. Methods: All subjects aged 1-17 years who had started a second-generation antipsychotic (SGA) drug (risperidone, quetiapine, aripiprazole, or olanzapine) between January 2008 and December 2016 (n = 20,932) were extracted from the Finnish Prescription Registry and followed up until December 31, 2017. Treatment duration was calculated as the time between the initial purchase of medication and treatment discontinuation. Treatment was considered discontinued if the treatment-free gap was more than 270 days. The associations between explanatory factors and treatment discontinuation were analyzed with the Cox proportional hazards models. Results: The mean and median treatment durations were 509 days (95% confidence interval [95% CI]: 500-517 days) and 317 days (95% CI: 306-325 days), respectively. The duration was shorter in girls than in boys (p < 0.001). Of all SGA users, 35.1% used antipsychotics less than 50 days and 16.0% used more than 600 days. Shorter treatment duration was associated with age groups of 7-12 and 13-15 years compared with 1-6 years (hazard ratio [HR]:1.23 [95% CI: 1.11-1.36]; HR: 1.35 [95% CI: 1.21-1.51], respectively) and initiating treatment with quetiapine or olanzapine compared with risperidone (HR: 1.18 [95% CI: 1.12-1.25]; HR: 1.66 [95% CI 1.46-1.88], respectively). Switching of SGA drug during treatment was associated with longer treatment duration (HR: 0.40 [95% CI: 0.38-0.43]). Conclusions: In children and adolescents, the mean treatment duration of SGAs was relatively long given that the majority of SGA use was off-label. Older age and initiating treatment with quetiapine were associated with earlier treatment discontinuation, whereas switching of antipsychotic drug during therapy increased the possibility of longer SGA use.

Effectiveness of pharmacotherapies for delusional disorder in a Swedish national cohort of 9076 patients

BACKGROUND

Little is known on the effective pharmacological treatment of delusional disorder.

AIMS

Study the comparative effectiveness of pharmacotherapies in the prevention of hospitalization due to psychosis and work disability in delusional disorder.

METHODS

Observational registry based cohort study including everyone in Sweden diagnosed with delusional disorder (N = 9076;mean follow-up time 4.9 years). The primary analysis was Cox Proportional Hazards within-individual analysis. Results are reported as adjusted hazard ratios (HRs).

RESULTS

Among the cohort (4835 males/4241 females;mean [SD] age 44.1 [12.5] years), 2074 persons had at least one hospitalization due to psychosis. Risk for hospitalization due to psychosis was 46% lower when any antipsychotic was used (HR 0.54, 95%CI 0.38-0.77, p < 0.001). Use of clozapine (HR 0.24, 95%CI 0.07-0.77, p = 0.016), any long-acting injectable (LAI; HR 0.28, 95%CI 0.16-0.49, p < 0.0001) and oral olanzapine (HR 0.36, 95%CI 0.20-0.67, p = 0.001) were associated with lowest risk. Among those not on disability pension at start of follow-up (n = 5025), in comparison to no use of antipsychotics, use of clozapine (HR 0.08, 95%CI 0.01-0.52, p = 0.008), any LAI (HR 0.44, 95%CI 0.25-0.79, p = 0.006) and oral aripiprazole (HR 0.52, 95%CI 0.31-0.85, p = 0.009) were associated with lowest risk of work disability.

CONCLUSIONS

Use of antipsychotics was associated with a reduced risk of hospitalization due to psychosis and work disability in delusional disorder, with use of clozapine and long-acting injectables being associated with the lowest risk for these very relevant end-points for both individual suffering and costs to society. Clinical trials with these treatments are urgently needed to make informed clinical treatment recommendations.

Suicide mortality and use of psychotropic drugs in patients hospitalized due to bipolar disorder: A Finnish nationwide cohort study

BACKGROUND

Knowledge on the comparative effectiveness of pharmacological treatments to prevent suicide mortality in bipolar disorder is still lacking.

METHODS

We studied the risk of suicide mortality during 1996-2012 among all patients who had been hospitalized due to bipolar disorder in Finland (n = 18,018; mean follow-up time 7.2 years) using nation-wide databases. We used a Cox proportional hazards model. Analyses were adjusted for the effects of time since diagnosis, order of treatments, current use of other treatments, polypharmacy, number of suicidal hospitalizations within 2 year (indicator of inherent risk of relapse), age at index date, sex, and calendar year of index date. In secondary analysis, the first 30 days were omitted from analysis after initiation of a psychopharmacological treatment to control for protopathic bias.

RESULTS

In comparison between use and no use among specific agents, only lithium (HR 0.33, 95%CI 0.24-0.47, p<0.0001) and valproic acid (HR 0.61, 95%CI 0.48-0.79, p=0.0002) were associated with a significantly decreased risk of suicide in bipolar disorder. Lithium showed a 42% lower risk for suicide mortality compared to valproic acid (HR 0.58, 95% CI 0.39-0.86, p = 0.007). Hypnotics were associated with a significantly (HR 1.52, 95%CI 1.22-1.90, p=0.0002) higher risk of suicide.

LIMITATIONS

Only hospitalized patients were included.

CONCLUSIONS

Lithium should be considered as treatment of choice for patients with bipolar disorder who are at high risk for suicide. Hypnotic use among suicidal patients indicates need for close monitoring of these patients.

Comparative Effectiveness of Antipsychotics for Risk of Attempted or Completed Suicide Among Persons With Schizophrenia

OBJECTIVE

The objective of our study was to investigate the comparative effectiveness of antipsychotics for the risk of attempted or completed suicide among all patients with schizophrenia in Finland and Sweden.

METHODS

Two nationwide register-based cohort studies were conducted, including all individuals with schizophrenia in Finland (n = 61 889) and Sweden (n=29 823). The main exposure was 10 most commonly used antipsychotic monotherapies; also, adjunctive pharmacotherapies were investigated. The main outcome measure was attempted or completed suicide, which was analyzed with within-individual models by comparing use and nonuse periods in the same individual to minimize selection bias. Sensitivity analyses included attempted suicide (hospitalization only) as an outcome.

RESULTS

Compared with no use of antipsychotics, clozapine use was the only antipsychotic consistently associated with a decreased risk of suicidal outcomes. Hazard ratios (HRs) and 95% CIs for attempted or completed suicide were 0.64 (0.49-0.84) in the Finnish cohort and 0.66 (0.43-0.99) in the Swedish cohort. No other antipsychotic was associated with a reduced risk of attempted and/or completed suicide. Benzodiazepines and Z-drugs were associated with an increased risk of attempted or completed suicide (HRs: 1.29-1.30 for benzodiazepines and 1.33-1.62 for Z-drugs).

CONCLUSION

Clozapine was the only antipsychotic associated with decreased risk of attempted or completed suicide among patients with schizophrenia, and it should be considered as first-line treatment for high-risk patients.

Detection of medications associated with Alzheimer's disease using ensemble methods and cooperative game theory

OBJECTIVE

To study the feasibility of evaluating feature importance with Shapley Values and ensemble methods in the context of pharmacoepidemiology and medication safety.

METHODS

We detected medications associated with Alzheimer's disease (AD) by examining the additive feature attribution with combined approach of Gradient Boosting and Shapley Values in the Medication use and Alzheimer's disease (MEDALZ) study, a nested case-control study of 70,719 verified AD cases in Finland. Our methodological approach is to do binary classification using Gradient boosting (an ensemble of weak classifiers) in a supervised learning manner. Then we apply Shapley Values (from cooperative game theory) to analyze how feature combinations affect the classification result. Medication use with a five to one year time-window before AD diagnosis was ascertained from Prescription register.

RESULTS

Antipsychotics with low or medium dose, antidepressants with medium to high dose, and cardiovascular medications with medium to high dose were identified as the contributing features for separating cases with AD from controls. Medium to high amount of irregularity in the purchase pattern were an indicating feature for separating AD cases from controls. The similarity of medication purchases between AD cases and controls made the feature evaluation challenging.

CONCLUSIONS

The combined approach of Gradient Boosting and feature evaluation with Shapley Values identified features that were consistent with findings from previous hypothesis-driven studies. Additionally, the results from the additive feature attribution identified new candidates for future studies on AD risk factors. Our approach also shows promise for studies based on observational studies, where feature identification and interactions in populations are of interest; and the applicability of using Shapley Values for evaluating feature relevance in pattern recognition tasks.

Antiepileptic drug use and mortality among community-dwelling persons with Alzheimer disease

OBJECTIVE

To evaluate the risk of death in relation to incident antiepileptic drug (AED) use compared with nonuse in people with Alzheimer disease (AD) through the assessment in terms of duration of use, specific drugs, and main causes of death.

METHODS

The MEDALZ (Medication Use and Alzheimer Disease) cohort study includes all Finnish persons who received a clinically verified AD diagnosis (n = 70,718) in 2005-2011. Incident AED users were identified with 1-year washout period. For each incident AED user (n = 5,638), 1 nonuser was matched according to sex, age, and time since AD diagnosis. Analyses were conducted with Cox proportional regression models and inverse probability of treatment weighting (IPTW).

RESULTS

Nearly 50% discontinued AEDs within 6 months. Compared with nonusers, AED users had an increased relative risk of death (IPTW hazard ratio [HR], 1.23; 95% confidence interval [CI], 1.12-1.36). This was mainly due to deaths from dementia (IPTW HR, 1.62; 95% CI, 1.42-1.86). There was no difference in cardiovascular and cerebrovascular deaths (IPTW HR, 0.98; 95% CI, 0.67-1.44). The overall mortality was highest during the first 90 days of AED use (IPTW HR, 2.40; 95% CI, 1.91-3.03). Among users of older AEDs, relative risk of death was greater compared to users of newer AEDs (IPTW HR, 1.79; 95% CI, 1.52-2.16).

CONCLUSION

In older vulnerable patients with a cognitive disorder, careful consideration of AED initiation and close adverse events monitoring are needed.

Using clinical registries, administrative data and electronic medical records to improve medication safety and effectiveness in dementia

PURPOSE OF REVIEW

Clinical registries, routinely collected administrative data and electronic medical records (EMRs) provide new opportunities to investigate medication safety and effectiveness. This review outlines the strengths and limitations of these data, and highlights recent research related to safe and effective medication use in dementia.

RECENT FINDINGS

Clinical registries, administrative data and EMRs facilitate observational research among people often excluded from randomized controlled trials (RCTs). Larger sample sizes and longer follow-up times permit research into less common adverse events not apparent in RCTs. The validity of diagnoses recorded in administrative data and EMRs remains variable, although positive predictive values are typically high and sensitivity is low. Dispensing records are a rich source of data for estimating medication exposure. Recent research has investigated medications and prescribing patterns as risk factors for incident dementia, strategies to alleviate behavioural symptoms and the management of comorbidity. Common study protocols and common data models are examples of distributed network approaches increasingly used to conduct large and generalizable multi-database studies across different countries.

SUMMARY

Greater availability of electronic health data provides important opportunities to address evidence-practice gaps in relation to medication use and safety in people with dementia.

20-year follow-up study of physical morbidity and mortality in relationship to antipsychotic treatment in a nationwide cohort of 62,250 patients with schizophrenia (FIN20)

Antipsychotics are effective in preventing relapses of schizophrenia, but it is generally believed that their long-term use is harmful for patients' physical well-being. However, there are no long-term studies which have verified this view. This nationwide, register-based cohort study aimed to assess the risk of hospitalization due to physical health problems, as a marker for severe physical morbidity, and the risk of all-cause mortality, as well as of cardiovascular and suicidal death, associated with antipsychotic use in all patients treated for schizophrenia in inpatient care between 1972 and 2014 in Finland (N=62,250), with up to 20 years of follow-up (median: 14.1 years). The use of antipsychotic drugs (i.e., use of any antipsychotic compared with non-use) and the use of specific antipsychotics were investigated, and outcomes were somatic and cardiovascular hospitalization, and all-cause, cardiovascular and suicide death. Hospitalization-based outcomes were analyzed by a within-individual design to eliminate selection bias, comparing use and non-use periods in the same individual by stratified Cox model. Mortality outcomes were assessed by traditional between-individual Cox multivariate models. The adjusted hazard ratios (aHRs) for any somatic hospitalization and cardiovascular hospitalization were 1.00 (95% CI: 0.98-1.03) and 1.00 (95% CI: 0.92-1.07) during use of any antipsychotic compared to non-exposure periods within the same individual. The aHRs were 0.48 (95% CI: 0.46-0.51) for all-cause mortality, 0.62 (95% CI: 0.57-0.67) for cardiovascular mortality, and 0.52 (95% CI: 0.43-0.62) for suicide mortality during use vs. non-use of any antipsychotic. The most beneficial mortality outcome was associated with use of clozapine in terms of all-cause (aHR=0.39, 95% CI: 0.36-0.43), cardiovascular (aHR=0.55, 95% CI: 0.47-0.64) and suicide mortality (aHR=0.21, 95% CI: 0.15-0.29). The cumulative mortality rates during maximum follow-up of 20 years were 46.2% for no antipsychotic use, 25.7% for any antipsychotic use, and 15.6% for clozapine use. These data suggest that long-term antipsychotic use does not increase severe physical morbidity leading to hospitalization, and is associated with substantially decreased mortality, especially among patients treated with clozapine.

Prevalence of cardiovascular drug use before and after diagnosis of Alzheimer's disease

BACKGROUND

Both cardiovascular diseases and Alzheimer's disease (AD) are common in aging populations. We investigated the prevalence of cardiovascular (CV) drug use in relation to AD diagnosis, and compared the prevalence to a matched cohort without AD.

METHODS

Point prevalence of CV drugs was counted every six months, from five years before to five years after AD diagnosis in the register-based Medication Use and Alzheimer's disease (MEDALZ) study, including community dwellers who received a clinically verified AD diagnosis during 2005-2011 in Finland, and compared to a matched cohort without AD. Data on drugs purchases was extracted from the Prescription Register by Anatomical Therapeutic Chemical-classification system codes C* (excluding C04 and C05) and modelled to use periods with PRE2DUP method.

RESULTS

Before AD diagnosis, the prevalence of CV drug use was higher in persons with AD (RR 1.04; confidence interval (CI) 1.02-1.06). At the index date (AD diagnosis date), the prevalence of CV drug use was similarly among persons with AD (75.8%), in comparison to matched cohort without AD (73.4%). However, after that, the prevalence of CV drug use started decline in persons with AD.

CONCLUSIONS

The decline in use of CV drugs after AD diagnosis likely reflects discontinued need for treatment due to weight loss, frailty, decline in blood pressure and serum lipid levels. It may also reflect the change in prescribing due to adverse events and priorities of care to improve the quality of end-of-life.

Accumulation of Hospital Days Among Antipsychotic Initiators With Alzheimer's Disease

OBJECTIVES

To compare the accumulation of hospital days, a proposed proxy for overall drug safety, between antipsychotic initiators and noninitiators with Alzheimer's disease (AD).

DESIGN

Nationwide exposure-matched cohort.

SETTING AND PARTICIPANTS

Finnish community dwellers who received an incident AD diagnosis in 2005‒2011 (n = 70,718). For each antipsychotic initiator, 1 noninitiator was matched on age, sex, and time since AD diagnosis (n = 19,909 matched pairs).

MEASURES

Accumulation of hospital days was measured during a 2-year follow-up from the national hospital discharge register. Antipsychotic use was ascertained from the National Prescription Register. Association between antipsychotic initiation and accumulation of hospital days was analyzed using negative binomial model.

RESULTS

During the 2-year follow-up, antipsychotic initiators were hospitalized on average for 52.5 (standard deviation 97.7) days and matched noninitiators for 34.7 (standard deviation 72.4) days. Of antipsychotic initiators 23.8% and of noninitiators, 34.1% did not have any hospital days. Antipsychotic initiators had 53% more hospital days (adjusted incidence rate ratio 1.53; 95% confidence interval 1.47‒1.59) than noninitiators. Strongest associations were observed during the first 6 months. Antipsychotic initiators had more hospital days with primary diagnosis codes of dementia; mental and behavioral disorders; factors influencing health status; diseases of the respiratory, genitourinary, and circulatory system; certain infectious and parasitic diseases; and symptoms not elsewhere classified, than noninitiators.

CONCLUSIONS AND IMPLICATIONS

Antipsychotic initiators accumulated more hospital days than noninitiators, especially within the first 6 months after initiation. This may indicate adverse events or difficulties in treating the most severe behavioral and psychological symptoms of dementia and health problems triggering them. After initiating antipsychotics, careful and regular monitoring is needed to assess response and decrease the risk of adverse effects and events.

Long-term thiazide use and risk of low-energy fractures among persons with Alzheimer's disease-nested case-control study

We investigated the association between thiazide use and the risk of low-energy fractures among community dwellers with Alzheimer's disease. Longer use was associated with a decreased risk of low-energy fractures. This study extends the previous knowledge of reduced fracture risk of thiazides to persons with Alzheimer's disease.

INTRODUCTION

To investigate the association between thiazide use and the risk of low-energy fractures (LEF), and hip fracture among community dwellers with Alzheimer's disease (AD). No prior study has evaluated the effect of thiazides on LEF risk of AD patients.

METHODS

LEF cases were identified from the MEDALZ study, including all community-dwelling persons diagnosed with AD in Finland 2005-2011. During the follow-up from AD diagnoses until the end of 2015, cases with LEF (N = 10,416) and hip fracture (N = 5578) were identified. LEF cases were matched with up to three controls without LEF, according to time since AD diagnosis, age and gender. Thiazide use identified from the Prescription register data was modeled with PRE2DUP method. Current use was defined in 0-30 days' time window before the fracture/matching date, and duration of current use was assessed. The association between thiazide exposure and LEFs was assessed with conditional logistic regression.

RESULTS

Current thiazide use was observed in 10.5% of LEF cases and 12.5% of controls. Current thiazide use was associated with a decreased risk of LEF (adjusted OR [aOR] 0.83, 95% CI 0.77-0.88). In terms of the duration of use, no association was observed with short-term use (< 1 year or 1-3 years), while longer use (> 3 years) was associated with a reduced risk of LEF (aOR 0.77, 95% CI 0.71-0.83) and hip fracture (aOR 0.68, 95% CI 0.60-0.78).

CONCLUSIONS

Our study extends the previous knowledge of reduced fracture risk of thiazides to persons with AD, a population with significantly increased background risk of fractures.

Concomitant use of benzodiazepines and opioids in community-dwelling older people with or without Alzheimer's disease-A nationwide register-based study in Finland

OBJECTIVE

The study aims to determine the prevalence of concomitant use of benzodiazepines and opioids among community-dwelling older people with or without Alzheimer's disease (AD). An additional aim was to describe the factors associated with prolonged concomitant use, and the most commonly used combinations of these drugs.

METHODS

This study utilized data from the register-based Medication Use and Alzheimer's disease (MEDALZ) study, including all community-dwelling residents of Finland who received a clinically verified AD diagnosis between 2005 and 2011 (n = 70 718) and their matched comparison persons without AD. After exclusion of individuals who were hospitalized throughout the follow-up, 69 353 persons with and 69 353 without AD were included in this study.

RESULTS

Benzodiazepines and related drugs (BZDRs) were used by 28 475 (41.1%) of those with and 24 506 (35.3%) of those without AD. Prolonged (greater than or equal to 90 days) concomitant use of BZDRs and opioids was more common among BZDR users without AD (N = 3936; 16.1%) than among those with AD (N = 2963; 10.4%). A shorter duration of concomitant use (1-89 days) revealed similar results, N = 3821; 15.6% and N = 3008; 10.6%, respectively. Prolonged concomitant use of BZDRs and opioids was associated with female sex, low socioeconomic position, most of the common comorbidities and history of substance abuse or long-term benzodiazepine use. The most commonly used combinations were Z-drug (31.7%) or benzodiazepine (29.9%) with a weak opioid.

CONCLUSIONS

Despite the recommendations and risks, the prevalence of concomitant BZDR and opioid use was common in older persons with or without AD. It is important to develop strategies to reduce unnecessary concomitant use of these drugs.

Antiepileptic Drugs and Accumulation of Hospital Days Among Persons With Alzheimer's Disease

OBJECTIVES

To compare the accumulation of hospital days between initiators and noninitiators of antiepileptic drugs (AEDs) among persons with Alzheimer's disease (AD).

DESIGN

Exposure-matched cohort study.

SETTING AND PARTICIPANTS

Persons newly diagnosed with AD in 2005-2011 (n = 70,718) and initiating AED use identified from Finnish health care registers. For each AED initiator, 1 noninitiator matched on age, sex, and time since AD diagnosis was selected. Persons with epilepsy were excluded from the study.

METHODS

Association between AED initiation or use of individual AEDs and accumulation of hospital days during a 2-year follow-up was assessed using negative binomial model.

RESULTS

AED initiators (n = 4432) were hospitalized on average for 43.7 (SD: 88.3) days and matched noninitiators for 32.2 (SD: 71.3) days during the 2-year follow-up. Altogether, 27.3% of the AED initiators and 35.6% of the noninitiators had no hospital days during the study period. Number of accumulated hospital days during the follow-up was 31% higher [adjusted incidence rate ratio (aIRR): 1.31, 95% confidence interval (CI): 1.19-1.43] among AED initiators than the noninitiators. Hospital days due to diseases of the nervous system excluding dementia (aIRR: 2.72, 95% CI: 1.72-4.31), musculoskeletal system (aIRR: 2.49, 95% CI: 1.73-3.58), respiratory system (aIRR: 1.89, 95% CI: 1.47-2.43), and mental and behavioral disorders excluding dementia (aIRR: 1.96, 95% CI: 1.02-3.79) were more common among the AED initiators than noninitiators. Among pregabalin (aIRR: 0.65, 95% CI: 0.56-0.77), gabapentin (aIRR: 0.66, 95% CI: 0.49-0.88), and clonazepam (aIRR: 0.73, 95% CI: 0.55-0.96) initiators, the number of accumulated hospital days was 27% to 35% lower than the days accumulated among the initiators of valproic acid.

CONCLUSIONS AND IMPLICATIONS

AED initiators had more hospital days than noninitiators. Pregabalin and gabapentin were associated with a lower number of hospital days than valproic acid. Further research is needed on the reasons for these findings.

Real-world Effectiveness of Pharmacologic Treatments for the Prevention of Rehospitalization in a Finnish Nationwide Cohort of Patients With Bipolar Disorder

IMPORTANCE

Mood stabilizers and antipsychotics are the main maintenance treatments for bipolar disorder. Lithium is considered to be the most effective mood stabilizer, but very little is known about overall health outcomes associated with specific treatments and the comparative long-term effectiveness of specific psychotropics or routes of administration in the prevention of rehospitalizations.

OBJECTIVE

To study the comparative effectiveness of pharmacologic treatments in the prevention of rehospitalization in a nationwide cohort of patients with bipolar disorder.

DESIGN, SETTING, AND PARTICIPANTS

This cohort study examined the risk of psychiatric, cardiovascular, and all-cause hospitalization from January 1, 1987, to December 31, 2012, among all patients in Finland who had been hospitalized for bipolar disorder (N = 18 018; mean follow-up time, 7.2 years) using prospectively gathered nationwide databases for hospitalization and dispensed medications. The primary analysis was within-individual analysis, in which each individual was used as his or her own control to eliminate selection bias. The study adjusted for the effect of concomitant psychotropic medications, duration of illness, and the temporal orders of exposure and nonexposure periods. Statistical analysis was conducted from January 1, 1996, to December 31, 2012.

MAIN OUTCOMES AND MEASURES

Adjusted hazard ratios (HRs) for rehospitalization were calculated.

RESULTS

Among the cohort (9558 women and 8460 men; mean [SD] age, 46.6 [17.0] years), 9721 patients (54.0%) had at least 1 psychiatric rehospitalization. In comparison between use and no use among specific agents reaching nominal statistical significance, risperidone long-acting injection (HR, 0.58 [95% CI, 0.34-1.00]), gabapentin (HR, 0.58 [95% CI, 0.44-0.77]), perphenazine long-acting injection (HR, 0.60 [95% CI, 0.41-0.88]), and lithium carbonate (HR, 0.67 [95% CI, 0.60-0.73]) were associated with the lowest risk of psychiatric rehospitalization. Concerning all-cause hospitalization, lithium (HR, 0.71 [95% CI, 0.66-0.76]) was associated with the lowest risk. The most frequently used antipsychotic treatment, quetiapine fumarate, showed only modest effectiveness (risk of psychiatric rehospitalization: HR, 0.92 [95% CI, 0.85-0.98]; risk of all-cause hospitalization: HR, 0.93 [95% CI, 0.88-0.98]). Long-acting injections were associated with substantially better outcomes compared with identical oral antipsychotics (risk of psychiatric rehospitalization: HR, 0.70 [95% CI, 0.55-0.90]; risk of all-cause hospitalization: HR, 0.70 [95% CI, 0.57-0.86]). Results from sensitivity analyses showed consistent beneficial effects only for lithium and for long-acting injections compared with their oral counterparts.

CONCLUSIONS AND RELEVANCE

Lithium was the most effective mood stabilizer, and long-acting injections the most effective antipsychotics, in preventing hospitalization due to mental or physical illness.

Proton pump inhibitor use and risk of hip fractures among community-dwelling persons with Alzheimer's disease-a nested case-control study

BACKGROUND

Hip fractures are a major health concern among older persons with Alzheimer's disease, who usually use many concomitant drugs for several diseases. Evidence of the association between proton pump inhibitor use and risk of hip fracture is contradictory.

AIM

To investigate whether the long-term use of proton pump inhibitor is associated with risk of hip fractures among community-dwelling persons with Alzheimer's disease.

METHODS

In this nested case-control study, the nationwide MEDALZ data were utilised. Community-dwelling persons with Alzheimer's disease who encountered incident hip fracture (N = 4818; mean age 84.1) were included as cases. Four controls were matched for each case at the date of hip fracture (N = 19 235; mean age 84.0). The association between hip fracture and duration of current PPI use (ongoing use during 0-30 days before the index date), and cumulative duration of use during 10 years before was investigated with conditional logistic regression.

RESULTS

Long-term or cumulative proton pump inhibitor use was not associated with an increased risk of hip fracture. Current proton pump inhibitor use was associated with an increased risk of hip fracture (adjusted OR 1.12, 95% CI 1.03-1.22). The risk was increased in short-term current use (<1 year) (adjusted OR 1.23, 95% CI 1.10-1.37).

CONCLUSIONS

The increased risk of hip fracture was evident only in short-term proton pump inhibitor use, but no association was found for long-term or cumulative use. Thus, our findings do not support previous assumptions that long-term proton pump inhibitor use would be associated with an increased risk of hip fractures.

Research Priorities for Optimizing Geriatric Pharmacotherapy: An International Consensus

Medication management is becoming increasingly challenging for older people, and there is limited evidence to guide medication prescribing and administration for people with multimorbidity, frailty, or at the end of life. Currently, there is a lack of clear research priorities in the field of geriatric pharmacotherapy. To address this issue, international experts from 5 research groups in geriatric pharmacotherapy and pharmacoepidemiology research were invited to attend the inaugural Optimizing Geriatric Pharmacotherapy through Pharmacoepidemiology Network workshop. A modified nominal group technique was used to explore and consolidate the priorities for conducting research in this field. Eight research priorities were elucidated: quality of medication use; vulnerable patient groups; polypharmacy and multimorbidity; person-centered practice and research; deprescribing; methodological development; variability in medication use; and national and international comparative research. The research priorities are discussed in detail in this article with examples of current gaps and future actions presented. These priorities highlight areas for future research in geriatric pharmacotherapy to improve medication outcomes in older people.