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Dual-Task Tests Predict Conversion to Dementia-A Prospective Memory-Clinic-Based Cohort Study.

Hanna B Åhman1, Lars Berglund1,2, Ylva Cedervall1

  • 1Department of Public Health and Caring Sciences, Geriatrics, Uppsala University, SE-751 22 Uppsala, Sweden.

International Journal of Environmental Research and Public Health
|November 6, 2020
PubMed
Summary
This summary is machine-generated.

Timed Up-and-Go dual-task (TUGdt) tests show promise in predicting dementia incidence in individuals with mild cognitive impairment. The TUGdt "animals/10 s" task significantly improved prediction, especially in younger patients.

Keywords:
dementiadual-taskgaitmild cognitive impairmentsubjective cognitive impairment

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Area of Science:

  • Neurology
  • Gerontology
  • Cognitive Science

Background:

  • Subjective cognitive impairment (SCI) and mild cognitive impairment (MCI) are risk states for dementia.
  • Early and accurate prediction of dementia incidence is crucial for timely intervention.
  • Current predictive tools may benefit from enhanced methodologies.

Purpose of the Study:

  • To investigate the predictive capability of Timed Up-and-Go dual-task (TUGdt) tests for dementia incidence in SCI/MCI patients.
  • To compare TUGdt predictive performance against demographic data, standard cognitive tests, and single-task tests.
  • To assess the influence of age on TUGdt predictive accuracy.

Main Methods:

  • A cohort of 172 patients with SCI or MCI underwent baseline TUGdt tests (naming animals, reciting months backwards) and cognitive assessments.
  • Dementia diagnoses were confirmed at a 2.5-year follow-up.
  • Logistic regression and receiver operating characteristic (ROC) curve analyses, stratified by age and gender, were employed.

Main Results:

  • Dementia developed in 51 patients over 2.5 years.
  • The TUGdt result 'animals/10 s' was significantly associated with dementia incidence (OR = 4.06).
  • This association was stronger in younger patients (under 72 years; OR = 19.4).
  • TUGdt 'animals/10 s' improved dementia prediction accuracy (c-statistics 0.88-0.94) compared to other methods, particularly in younger individuals.

Conclusions:

  • Timed Up-and-Go dual-task tests, specifically the 'animals/10 s' metric, demonstrate significant potential for predicting dementia incidence in individuals with SCI/MCI.
  • TUGdt offers enhanced predictive value over traditional methods, especially within younger patient cohorts.
  • TUGdt represents a promising, accessible tool for early dementia risk assessment.