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Record W4417247344 · doi:10.1159/000550017

Polypharmacy following Dementia Diagnoses in Vietnam: Results from Real-World Data in Outpatient Settings

2025· article· en· W4417247344 on OpenAlexaff
Minh Tuan Hoang, Ngoc Thi Le, Thu Thi Hoai Nguyen, Thuy-Dung Nguyen, Thanh Xuan Nguyen, Anh Ngọc Nguyễn, Dang Kim Thu, Binh Thanh Nguyen, Huong Thi Thanh Nguyen, Phạm Hồng Thắng, Anh Trung Nguyen, Tuan Anh Nguyen, Huyen Thi Thanh Vu

Bibliographic record

VenueGerontology · 2025
Typearticle
Languageen
FieldMedicine
TopicPharmaceutical Practices and Patient Outcomes
Canadian institutionsTrinity College
FundersNational Institute on Aging
KeywordsPolypharmacyDementiaMedical prescriptionMedical diagnosisIncidence (geometry)Older peopleGeriatricsMultimorbidity

Abstract

fetched live from OpenAlex

Introduction: Polypharmacy might be clinically appropriate if it improves health outcomes of people with dementia. However, polypharmacy was associated with higher risks of impairment in cognitive, physical, and emotional abilities. Several studies on polypharmacy among people with dementia were performed globally but not in Vietnam. This study aimed to investigate the epidemiology of polypharmacy among people with dementia in Vietnam. METHODS: This retrospective cohort study included outpatient individuals who were diagnosed with dementia between January 1, 2023, and April 15, 2024, in the Vietnam National Geriatric Hospital. Data were extracted from medical records, including dementia diagnosis, drug utilization, medical history before dementia diagnosis, comorbidities, and sociodemographic. The monthly quantity of drugs used was categorized as "no polypharmacy" 0-4 drugs, "polypharmacy" ≥5 drugs, and "hyperpolypharmacy" ≥10 drugs. The primary outcome was the incidence of polypharmacy following dementia diagnosis. The prescription of potentially inappropriate medications in people with dementia, identified using the American Geriatrics Society Beers criteria, was also evaluated. Multivariable logistic regression was employed to find associated risk factors of polypharmacy. RESULTS: During the follow-up from dementia diagnosis to June 30, 2024, there were 64 people having polypharmacy (median age at dementia diagnosis 73.5, 68.8% females) and 342 people without polypharmacy (median age at dementia diagnosis 74.0, 64.0% females). Age at dementia diagnosis, sex, regions of residence, and education were not associated with having polypharmacy in people with dementia. Compared to people with Alzheimer's disease, significantly higher probabilities of having polypharmacy were seen in people with vascular dementia (odds ratio [OR] 4.63, 95% confidence interval [CI] 2.16-9.92) and other dementias (OR 4.61, 95% CI 2.31-9.18). People with dementia at severe stage were at lower chance of having polypharmacy (OR 0.19, 95% CI 0.05-0.63). Potentially inappropriate medications were more frequent in the polypharmacy group (n = 27, 42.2%), compared to the non-polypharmacy group (n = 59, 17.3%). Prescribing antipsychotics in the polypharmacy group doubled that in the non-polypharmacy group (34.4% versus 16.1%). CONCLUSION: Lower incidence of polypharmacy among people with dementia compared to previous studies might either imply the improvement in managing the prescription of potentially inappropriate medications or be underestimated by not including inpatient individuals. Future studies are necessary to clarify the impact of polypharmacy on health outcomes of people with dementia. .

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.113
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.179
GPT teacher head0.461
Teacher spread0.282 · 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 teacher head, 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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