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Related Experiment Video

Updated: Mar 11, 2026

Author Spotlight: Innovations in iTUG Test for Enhanced Risk Assessment and Cognitive Insights
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Brief Instrumented Mobility Testing Improves Fall Risk Stratification in Older Emergency Department Patients.

Brian Suffoletto1, Nick Ashenburg1, Michael Losak1

  • 1Department of Emergency Medicine, Stanford University, Stanford, California, USA.

Academic Emergency Medicine : Official Journal of the Society for Academic Emergency Medicine
|March 10, 2026
PubMed
Summary
This summary is machine-generated.

Inertial measurement unit (IMU) features from a modified Timed Up and Go test improve fall risk prediction in older adults discharged from the emergency department. This technology offers modest gains beyond clinical screening for better fall prevention strategies.

Keywords:
agedemergency departmentfallspredictive modelingrisk assessment

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Area of Science:

  • Gerontology
  • Biomedical Engineering
  • Public Health

Background:

  • Emergency department fall-risk screening often uses incomplete measures of body movement.
  • Accurate prediction of future falls is crucial for preventing injuries in older adults.

Purpose of the Study:

  • To evaluate if inertial measurement unit (IMU) features from a modified instrumented Timed Up and Go (miTUG) test enhance 6-month fall risk prediction post-emergency department discharge.
  • To determine if IMU data provides added prognostic value beyond existing clinical screening tools.

Main Methods:

  • A prospective cohort study included community-dwelling adults aged 60+ years discharged from an urban academic ED.
  • Participants underwent a miTUG test with four IMU features recorded before discharge.
  • Clinical predictors and IMU features were used to model 6-month fall risk.

Main Results:

  • The combined clinical and IMU model showed modestly improved discrimination (AUC 0.72 vs. 0.67) compared to the clinical-only model.
  • Addition of IMU features improved sensitivity, specificity, and positive predictive value at a 30% fall risk threshold.
  • The combined model demonstrated higher concordance (C-index 0.73 vs. 0.69) in time-to-event analyses.

Conclusions:

  • IMU features from a brief mobility assessment offer modest improvements in fall risk stratification for older adults post-ED discharge.
  • Findings suggest IMU integration could enhance fall risk assessment but require external validation and implementation studies.