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Frailty Assessment in an Aging Mouse Model
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Frailty assessment in older adults using upper-extremity function: index development.

Nima Toosizadeh1,2,3, Christopher Wendel4,5, Chiu-Hsieh Hsu6

  • 1Arizona Center on Aging (ACOA), Department of Medicine, University of Arizona, College of Medicine, 1807 E Elm St., PO Box 245072, Tucson, AZ, 85724-5072, USA. ntoosizadeh@aging.arizona.edu.

BMC Geriatrics
|June 4, 2017
PubMed
Summary
This summary is machine-generated.

This study developed a sensor-based upper-extremity function (UEF) assessment tool to objectively measure frailty in older adults. The new UEF frailty index and score show promise for clinical use in identifying frailty categories.

Keywords:
DisabilityGeriatricsMotor performanceUpper-limb movementWearable sensor

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Area of Science:

  • Gerontology and Rehabilitation Medicine
  • Biomedical Engineering and Sensor Technology
  • Clinical Assessment and Diagnostics

Background:

  • Existing frailty assessment tools often lack clinical feasibility.
  • Wearable motion sensors offer a potential solution for objective functional assessment.
  • Previous research established an initial upper-extremity function (UEF) assessment method.

Purpose of the Study:

  • To cross-sectionally validate the UEF method against the Fried frailty index in a larger cohort.
  • To develop a UEF-based frailty index for predicting frailty categories (non-frail, pre-frail, frail).
  • To create a UEF continuous frailty score using UEF parameters and demographic data.

Main Methods:

  • A cross-sectional study involving 352 community-dwelling and outpatient older adults (≥60 years).
  • Participants performed a 20-second repetitive elbow flexion/extension task using wearable motion sensors.
  • Two UEF indices (categorical and score) were developed and validated against the Fried index.

Main Results:

  • The UEF categorical index incorporated speed, range of motion, moment, variability, and BMI.
  • Cross-validation demonstrated areas under the curve of 0.77 ± 0.07 for pre-frailty and 0.80 ± 0.12 for frailty.
  • A UEF continuous score ranging from 0.1 to 1.0 was developed based on UEF parameters.

Conclusions:

  • An objective, sensor-based frailty assessment tool utilizing upper-extremity movements was developed.
  • The UEF method captures key frailty features: slowness, weakness, exhaustion, and flexibility.
  • The validated UEF indices offer potential for research and future clinical application in frailty assessment.