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Related Concept Videos

Diagnostic and Statistical Manual of Mental Disorders (DSM)01:27

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The Diagnostic and Statistical Manual of Mental Disorders (DSM) serves as the primary classification system for mental health disorders, providing standardized diagnostic criteria for clinicians and researchers. First published by the American Psychiatric Association (APA) in 1952, the DSM has undergone several revisions to reflect evolving psychiatric understanding. The fifth edition, DSM-5, released in 2013, introduced key updates that expanded diagnostic categories and modified diagnostic...
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Assessing the 10/66 dementia classification algorithm for international comparative analyses with the United States.

Jorge J Llibre Guerra1, Jordan Weiss2, Jing Li3

  • 1Department of Neurology, Washington University in St. Louis, St. Louis, MO, United States.

American Journal of Epidemiology
|January 2, 2025
PubMed
Summary
This summary is machine-generated.

The 10/66 dementia classification algorithm, validated in low-income countries, accurately identifies dementia in U.S. populations. This supports global dementia risk factor comparisons.

Keywords:
Alzheimer’s diseasealgorithmsdementiainternational comparison

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Area of Science:

  • Neuroscience
  • Epidemiology
  • Gerontology

Background:

  • Cross-national dementia prevalence studies are vital but hindered by varied classification methods.
  • The 10/66 algorithm is a validated dementia classification tool for low- and middle-income countries (LMICs).

Purpose of the Study:

  • To adapt and validate the 10/66 algorithm for dementia classification within the U.S. Aging, Demographics, and Memory Study (ADAMS).
  • To assess the modified 10/66 algorithm's performance against existing U.S. dementia classification methods.

Main Methods:

  • Mapped comparable 10/66 algorithm items to ADAMS data.
  • Re-trained the 10/66 algorithm using ADAMS clinical diagnoses and k-fold cross-validation.
  • Compared the modified 10/66 algorithm's accuracy and education gradient estimation against four other ADAMS-validated algorithms.

Main Results:

  • The modified 10/66 algorithm demonstrated high sensitivity (87%) and specificity (93%) in ADAMS.
  • It outperformed the four comparison algorithms in dementia classification accuracy.
  • All algorithms, including the modified 10/66, tended to over-estimate the education gradient in dementia.

Conclusions:

  • The modified 10/66 algorithm is a reliable tool for dementia classification in the U.S.
  • This validation facilitates more accurate cross-national comparisons of dementia risk factors between the U.S. and LMICs.