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Determining Soil-transmitted Helminth Infection Status and Physical Fitness of School-aged Children
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Public Health.

Abby L Emdin1, Therese A Stukel2,3, Jennifer Bethell2,4,5

  • 1Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.

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|December 23, 2025
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Summary
This summary is machine-generated.

Hierarchical clustering identified distinct medication prescribing patterns in older adults with dementia. While the central nervous system-active cluster showed a higher fall hospitalization risk initially, this difference diminished after adjusting for other health factors.

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Area of Science:

  • Pharmacoepidemiology
  • Geriatric Medicine
  • Machine Learning in Healthcare

Background:

  • Dementia patient populations are diverse, complicating medication management studies.
  • Hierarchical clustering can identify patterns in concurrent drug therapies.
  • Understanding medication patterns is crucial for managing health risks in older adults with dementia.

Purpose of the Study:

  • To investigate the association between medication prescribing clusters and fall-related hospitalizations in older adults with dementia.
  • To apply unsupervised machine learning to stratify dementia patients based on medication use.
  • To assess the impact of distinct drug prescription profiles on hospitalization risk.

Main Methods:

  • A cohort of 99,046 older adults diagnosed with dementia was analyzed using health administrative data.
  • Individuals were categorized into six prescribing clusters using hierarchical clustering.
  • Cause-specific survival models assessed fall-related hospitalization hazards, adjusting for covariates.

Main Results:

  • Five percent of the cohort experienced fall-related hospitalizations within one year of dementia diagnosis.
  • The central nervous system (CNS)-active cluster exhibited the highest prevalence of fall hospitalizations (5.3%).
  • The CNS-active cluster showed a significantly higher adjusted hazard of fall hospitalization (HR 1.12) compared to low medication users.

Conclusions:

  • Prescribing clusters showed initial differences in fall hospitalization hazards for dementia patients.
  • These differences were not statistically significant after adjusting for demographic and clinical factors.
  • The methodology offers a way to summarize complex medication data for future pharmacoepidemiology research.