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Record W4406030124 · doi:10.1002/alz.093406

Agitation and mortality in dementia: application of the syndromic International Psychogeriatric Association criteria‐based approach to survival analyses

2024· article· en· W4406030124 on OpenAlexaff
Zahinoor Ismail, Zahra Hosseinpour, Chenhui Hao, Zahra Goodarzi, Eric E. Smith, Dallas Seitz

Bibliographic record

VenueAlzheimer s & Dementia · 2024
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsHotchkiss Brain InstituteUniversity of Calgary
Fundersnot available
KeywordsDementiaConfoundingAggressionIrritabilityMedicineObservational studyPsychological interventionPsychomotor agitationProportional hazards modelClinical psychologyPsychologyPsychiatryInternal medicineCognitionDisease

Abstract

fetched live from OpenAlex

BACKGROUND: Agitation in dementia is associated with poor outcomes, including mortality. However, the lack of a consensus definition of agitation has hampered research, historically driven by variable approaches to symptom identification. Accordingly, prevalence estimates range widely (5%-88%) and interventions are hard to compare meaningfully. The International Psychogeriatric Association (IPA) consensus definition advanced the field from a symptomatic to a syndromic criteria-based approach. As per the validated IPA criteria, agitation behaviors can manifest as verbal aggression (VA), physical aggression (PA), and/or excessive motor activity (EMA). We determined the three-year mortality rate for syndromic agitation and each of the three IPA agitation domains. We hypothesized 1) higher mortality for those with agitation; and 2) PA would have the highest mortality of the three domains. METHOD: National Alzheimer's Coordinating Center (NACC) participants (n = 3226), with baseline dementia diagnosis were included. Neuropsychiatric Inventory Questionnaire (NPI-Q) items identified IPA domains as follows: VA (irritability); PA (agitation/aggression); and EMA (aberrant motor activity). Agitation+ status was based on item scores ≥1. Kaplan-Meier survival curves were used to visualize and compare group trajectories. Cox proportional hazards regressions modelled: 1) three-year mortality for Agitation±; and 2) three-year mortality for combinations of agitation domains relative to VA alone, adjusted for age, sex, race, education, and MMSE. To address potential confounding, propensity scores were applied using inverse probability treatment weighting. Sex differences in outcomes across exposure groups were assessed. RESULT: Participants (age 74.5±9.7 years, 51% female) who were Agitation+ had a 1.37-fold higher mortality rate (CI:1.12-1.69, p<0.001) relative to Agitation- (Figure 1). Higher agitation-related mortality was seen in males (HR = 1.52, CI:1.18-1.97, p = 0.001) and females (HR = 1.51, CI:1.1-2.06), p<0.001); between-sex HRs did not differ (multiplicative interaction test HR = 0.97, CI:0.8-1.17, p = 0.96). Domain analyses revealed 1) generally higher hazards when >1 agitation domain was observed; and 2) higher hazard for mortality for EMA than PA in reference to VA (Figure 2). CONCLUSION: This study provides further validation of the IPA Agitation criteria and the syndromic approach to agitation in dementia. Previously underappreciated relative to PA, and contrary to our hypothesis, EMA emerged as an important IPA agitation domain, having the greatest mortality risk.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.032
metaresearch head score (Gemma)0.034
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.170

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0320.034
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.003
Bibliometrics0.0070.004
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.055
GPT teacher head0.397
Teacher spread0.342 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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