Evidence map›Paper›PMID 32924095›Full record

ArticleDrugs & aging2020

Sedative Load in Community-Dwelling Older Adults with Mild-Moderate Alzheimer's Disease: Longitudinal Relationships with Adverse Events, Delirium and Falls.

Adam H Dyer, Claire Murphy, Brian Lawlor, Sean P Kennelly, NILVAD StudyGroup

Abstract read
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Article in Drugs & aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 30% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Observational
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  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 2 countries.

Adam H DyerDepartment of Age-Related Healthcare, Tallaght University Hospital, Dublin, Ireland. dyera@tcd.ie.ORCID 0000-0003-1356-510X
Claire MurphyDepartment of Age-Related Healthcare, Tallaght University Hospital, Dublin, Ireland.
Brian LawlorGlobal Brain Health Institute, Trinity College Dublin, Dublin, Ireland.
Sean P KennellyDepartment of Age-Related Healthcare, Tallaght University Hospital, Dublin, Ireland.
NILVAD StudyGroup
Trinity College Dublin · IECentre Hospitalier Universitaire Amiens-Picardie · FRTallaght University Hospital · IE

Funding

FP7 Health 279093
6 · The paper itself

Abstract

backgroundOlder adults are frequently prescribed medications with sedative effects, which are associated with numerous adverse consequences. However, the prevalence and longitudinal associations of sedative medication use in community-dwelling older adults with mild-moderate Alzheimer's disease (AD) has not been explored to date.

objectivesOur objective was to assess the prevalence of sedative medication use in community-dwelling older adults with mild-moderate AD and examine the longitudinal association between sedative medication use and adverse events (AEs).

methodsThe association between baseline sedative load (SL) and AEs, unscheduled healthcare utilisation, delirium and falls was assessed in older adults with mild-moderate AD over 18 months using secondary analysis of NILVAD trial data (collected from 2014 to 2016). Baseline medication use was assessed, and the SL model was applied to each participant's medication individually. The SL model classifies medications into one of four categories: (1) primary sedatives, (2) medications with a sedating component or prominent side effect, (3) medications with sedation as a potential adverse reaction and (4) all other medications with no known sedative side effects. Medications in group 1 were assigned an SL score of 2, those in group 2 were assigned an SL score of 1, and those in categories 3 and 4 an SL score of 0. SL scores for each medication participants were taking were summed and the total SL calculated as an arithmetic sum of individual medications score. A total SL score ≥ 3 was classed as high. Statistical analysis was conducted using Poisson regression and mixed-effects linear regression, with adjustment for important clinical covariates. We also assessed the impact of SL on dementia progression and cognitive decline.

resultsOver half (55.7% [284/510]) of those with mild-moderate AD (age 72.8 ± 8.3 years, 61.9% female) were prescribed a regular medication with sedation as a primary effect or prominent side effect, with 22.2% (113/510) having a high SL (≥ 3). The most common medications contributing to SL were antidepressants, antipsychotics, anxiolytics and hypnotics. Over 18 months, increasing baseline SL was associated with incident AEs (incidence rate ratio [IRR] 1.15; 95% confidence interval [CI] 1.11-1.19; p < 0.001), serious AEs (IRR 1.23; 95% CI 1.11-1.36; p < 0.001) and unscheduled general practitioner visits (IRR 1.23; 95% CI 1.13-1.34; p < 0.001). Further, increasing SL was associated with a greater likelihood of incident delirium (IRR 1.30; 95% CI 1.11-1.53; p < 0.001) and falls (IRR 1.20; 95% CI 1.03-1.42; p = 0.02). Associations persisted after robust covariate adjustment. SL was not associated with accelerated cognitive decline or AD progression.

conclusionsIn the current study, over half of older adults with mild-moderate AD were prescribed at least one drug with a sedative effect, and a significant minority had a high SL. Increasing baseline SL was associated with a greater likelihood of incident AEs, delirium and falls, highlighting the need for optimal prescribing in this potentially vulnerable cohort.

Indexed as

Hypnotics and SedativesIndependent LivingAccidental FallsAgedAged, 80 and overAlzheimer DiseaseAntipsychotic AgentsCognitive DysfunctionCohort StudiesDeliriumDrug UtilizationFemaleHumansIncidenceMaleAntipsychotic AgentsHypnotics and Sedatives

Identifiers

PMID32924095
OpenAlexW3086917362

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.