Long-term use of antipsychotics in community-dwelling dementia patients: prevalence and profile accounting for unobservable time bias because of hospitalization

Psychotropic drug use in community-dwelling people with young-onset dementia: two-year course and determinants

OBJECTIVES

The aim of this study was to describe the course of psychotropic drug use in people with young-onset dementia and to explore possible associations with age, sex, dementia severity, dementia subtype and neuropsychiatric symptoms.

METHODS

Psychotropic drug use was studied in 198 community-dwelling persons participating in the Needs in Young-onset Dementia study. Data about psychotropic drug use were retrieved at baseline, as well as at 6, 12, 18 and 24 months and was classified into five groups (antiepileptics, antipsychotics, anxiolytics, hypnotics/sedatives and antidepressants) and quantified as 'present' or 'absent'. Generalized Estimating Equation modeling and chi-square tests were used to study associations between the determinants and psychotropic drug use.

RESULTS

There was a statistically significant increase in the prevalence of psychotropic drug use from 52.3% to 62.6% during the course of the study. Almost three-quarters (72.4%) of the participants were treated with any psychotropic drug during the study, and more than one-third (37.4%) received psychotropic drugs continuously. Antipsychotics were used continuously in more than 10% of the participants and antidepressants in more than 25%. Increasing age was positively associated (p = .018) with psychotropic drug use at baseline, while apathy symptoms were negatively associated (p = .018).

CONCLUSIONS

Despite the recommendations of various guidelines, the prolonged use of psychotropic drugs in community-dwelling people with young-onset dementia is high. Therefore, more attention is needed to timely evaluate psychotropic drug use and the introduction of self-management programs for caregivers should be encouraged to support caregivers in dealing with the neuropsychiatric symptoms caused by the dementia.

Determinants Of Antipsychotic Drugs Prescription Among Community-Living Older Adults With Dementia: A Population-Based Study Using Health Information Systems In The Lazio Region, Italy

Introduction

Despite recommendations from associations of geriatric and psychiatry societies and warnings from drug agencies, antipsychotic (AP) drugs are frequently used to control behavioral and psychological symptoms of dementia. APs are associated with a range of potential adverse events, including increased risk of cerebrovascular events and mortality. Evidence suggests limited efficacy of APs for aggression and psychosis. Our objectives were to investigate patterns and predictors for prescription of APs among older adults with dementia residing in a large region of central Italy, and to identify patient characteristics related to typical or atypical APs prescribing.

Methods

This is a retrospective population-based cohort study using data from regional health information systems (HIS). We included dementia patients aged ≥65 years residing in the Lazio region. The exposure was defined as new use vs non-use of APs. Dementia patients with incident use of APs during 2015 were followed-up from the date of first prescription to the earliest among discontinuation of use, death, or end of study (December 31, 2016).

Results

We enrolled 24,735 dementia patients, 1727 (6.7%) new users and 23,008 non-users of APs. Forty-four percent of AP users were treated for more than 3 months, and among these about 60% received APs continuously for at least 12 months. Individuals using antidepressant or anti-dementia drugs had higher odds of being prescribed with APs (OR: 1.67 and OR: 1.86, respectively). Patients exposed to polypharmacy were less likely to receive APs (OR: 0.82). Cardiovascular risk factors and comorbidities were not associated with APs use. Low socio-economic position was associated with lower odds of atypical AP prescribing (OR: 0.57).

Conclusion

The study showed that a not negligible proportion of patients had a period of AP use longer than recommended by guidelines. We identified socio-demographic and clinical factors associated with first use of APs, providing insight into prescribing practices in a community setting and useful information to address areas of potential inappropriateness.

Alzheimer's disease: Estimating its prevalence rate in a French geographical unit using the National Alzheimer Data Bank and national health insurance information systems

Background

Reliable epidemiological data on Alzheimer's disease are scarce. However, these are necessary to adapt healthcare policy in terms of prevention, care and social needs related to this condition. To estimate the prevalence rate in the Alpes-Maritimes on the French Riviera, with a population of one million, we present a capture-recapture procedure applied to cases of Alzheimer’s disease, based on two epidemiological surveillance systems.

Methods

To estimate the total number of patients affected by Alzheimer's disease, a capture-recapture study included a cohort of patients with Alzheimer's disease or receiving medications only eligible for use for this condition, recorded by a specific health insurance information system (Health Insurance Cohort, HIC), and those registered in the French National Alzheimer’s Data Bank (“Banque Nationale Alzheimer”, BNA) in 2010 and 2011. We applied Bayesian estimation of the M_t ecological model, taking into account age and gender as covariates, i.e. factors of inhomogeneous catchability.

Results

Overall, 5,562 patients with Alzheimer's disease were recorded, of whom only 856 were common to both information systems. Mean age and F/M sex ratio differed between BNA and HIC surveillance systems, 81 vs 84 years and 2.7 vs 3.2, respectively. A Bayesian estimation, with age and gender as covariates, yields an estimate of 15,060 cases of Alzheimer's disease [95%HPDI: 14,490–15,630] in the Alpes-Maritimes. The completeness of the HIC and BNA databases were respectively of 25.4% and 17.2%. The estimated prevalence rate among the population over 65 years old was 6.3% in 2010–2011.

Conclusions

This study demonstrates that it is possible to determine the number of subjects affected by Alzheimer's disease in a geographical unit, using available data from two existing surveillance systems in France, i.e. 15,060 cases in the Alpes-Maritimes. This is the first stage of a population-based approach in view of adapting available resources to the population’s needs.