Dataset Information

Change in sedative burden after dementia onset using difference-in-difference estimations.

ABSTRACT:

Background

Sedative agents are avoided in older adults because of potential risks including cognitive impairment, fall, frailty, and mortality. However, no studies addressing both prediagnostic and postdiagnostic period of dementia have evaluated sedative agent usage over an extended period.

Objectives

To describe a longitudinal change in sedative medication use before and after the diagnosis with dementia over 10 years compared to patients without dementia.

Methods

We conducted a retrospective cohort study using longitudinal claims data for senior national health insurance beneficiaries. After 1:4 propensity score matching, 54,165 older patients (≥60 years) were included. Difference-in-difference (DID) of sedative burden and use of sedative agents pre- and post-dementia diagnosis were estimated, and compared to those of patients without dementia. The yearly average daily sedative load (adSL) for each individual was calculated after applying duration, dose, and sedative score of medications from the sedative load model. The medication use for each sedative category was calculated using the defined daily dose (DDD) per 1000 patient-days.

Results

The adSL in patients with dementia was consistently high before and after diagnosis and significantly increased after diagnosis, compared to those of patients without dementia (DID 0.123 unit/day, 95% confidence interval 0.117-0.129). DID of medication use was the highest for antidepressants (64.764 DDD/1000 patient-days) followed by Z-drugs and antipsychotics. Atypical antipsychotic and antidepressant usage steeply increased after dementia diagnosis.

Conclusion

Sedative burden in patients with dementia before and after dementia diagnosis was higher than that in patients without dementia, and was further increased after dementia diagnosis.

SUBMITTER: Ah YM

PROVIDER: S-EPMC6677315 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Change in sedative burden after dementia onset using difference-in-difference estimations.

Ah Young-Mi YM Han Euna E Jun Kwanghee K Yu Yun Mi YM Lee Ju-Yeun JY

PloS one 20190802 8

<h4>Background</h4>Sedative agents are avoided in older adults because of potential risks including cognitive impairment, fall, frailty, and mortality. However, no studies addressing both prediagnostic and postdiagnostic period of dementia have evaluated sedative agent usage over an extended period.<h4>Objectives</h4>To describe a longitudinal change in sedative medication use before and after the diagnosis with dementia over 10 years compared to patients without dementia.<h4>Methods</h4>We cond ...[more]

PMID: 31374112

Similar Datasets

Project description:BackgroundDegradation of white matter microstructure has been demonstrated in frontotemporal lobar degeneration (FTLD) and Alzheimer's disease (AD). In preparation for clinical trials, ongoing studies are investigating the utility of longitudinal brain imaging for quantification of disease progression. To date only one study has examined sample size calculations based on longitudinal changes in white matter integrity in FTLD.ObjectiveTo quantify longitudinal changes in white matter microstructural integrity in the three canonical subtypes of frontotemporal dementia (FTD) and AD using diffusion tensor imaging (DTI).Methods60 patients with clinical diagnoses of FTD, including 27 with behavioral variant frontotemporal dementia (bvFTD), 14 with non-fluent variant primary progressive aphasia (nfvPPA), and 19 with semantic variant PPA (svPPA), as well as 19 patients with AD and 69 healthy controls were studied. We used a voxel-wise approach to calculate annual rate of change in fractional anisotropy (FA) and mean diffusivity (MD) in each group using two time points approximately one year apart. Mean rates of change in FA and MD in 48 atlas-based regions-of-interest, as well as global measures of cognitive function were used to calculate sample sizes for clinical trials (80% power, alpha of 5%).ResultsAll FTD groups showed statistically significant baseline and longitudinal white matter degeneration, with predominant involvement of frontal tracts in the bvFTD group, frontal and temporal tracts in the PPA groups and posterior tracts in the AD group. Longitudinal change in MD yielded a larger number of regions with sample sizes below 100 participants per therapeutic arm in comparison with FA. SvPPA had the smallest sample size based on change in MD in the fornix (n = 41 participants per study arm to detect a 40% effect of drug), and nfvPPA and AD had their smallest sample sizes based on rate of change in MD within the left superior longitudinal fasciculus (n = 49 for nfvPPA, and n = 23 for AD). BvFTD generally showed the largest sample size estimates (minimum n = 140 based on MD in the corpus callosum). The corpus callosum appeared to be the best region for a potential study that would include all FTD subtypes. Change in global measure of functional status (CDR box score) yielded the smallest sample size for bvFTD (n = 71), but clinical measures were inferior to white matter change for the other groups.ConclusionsAll three of the canonical subtypes of FTD are associated with significant change in white matter integrity over one year. These changes are consistent enough that drug effects in future clinical trials could be detected with relatively small numbers of participants. While there are some differences in regions of change across groups, the genu of the corpus callosum is a region that could be used to track progression in studies that include all subtypes.

Project description:ObjectivesThe Drug Burden Index (DBI) tool quantifies individual exposure to anticholinergic and sedative medications. The DBI has been internationally validated against adverse health outcomes in older people. DBI exposure has not been reported in the Irish older population. This study aimed to: (1) develop a list of drugs with clinically significant anticholinergic and/or sedative effects (DBI medications) relevant to Ireland; (2) examine, using the DBI formula, the prevalence of exposure to DBI medications in Irish older people and (3) explore patient factors associated DBI exposure.DesignA cross-sectional national pharmacy claims database study.SettingCommunity setting using the General Medical Services (GMS) scheme pharmacy claims database maintained by the Health Service Executive Primary Care Reimbursement Services.ParticipantsIrish older individuals (aged ≥65 years) enrolled in the GMS scheme and dispensed at least one prescription item in 2016 (n=428 516).Main outcome measuresPrevalence of exposure to DBI medications and patient factors associated with DBI exposure.Results282 874 (66%) of the GMS population aged ≥65 years were exposed to at least one DBI medication in 2016. Prevalence of exposure to DBI medications was significantly higher in females than males (females 71.6% vs males 58.7%, adjusted OR 1.65, 95% CI 1.63 to 1.68). Prevalence of DBI exposure increased progressively with the number of chronic drugs used, rising from 42.7% of those prescribed 0-4 chronic drugs to 95.4% of those on ≥12 chronic drugs (adjusted OR 27.8, 95% CI 26.7 to 29.0). The most frequently used DBI medications were codeine/paracetamol combination products (20.1% of patients), tramadol (11.5%), zopiclone (9.5%), zolpidem (8.5%), pregabalin (7.9%) and alprazolam (7.8%).ConclusionsThe majority of older people in Ireland are exposed to medications with anticholinergic and/or sedative effects, particularly females and those with multiple comorbidities. The high use of low-dose codeine/paracetamol combination products, Z-drugs and benzodiazepines, suggests there are opportunities for deprescribing.

Dataset Information

Change in sedative burden after dementia onset using difference-in-difference estimations.

Background

Objectives

Methods

Results

Conclusion

Publications

Change in sedative burden after dementia onset using difference-in-difference estimations.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets