Tags

Type your tag names separated by a space and hit enter

Frailty assessment in older adults using upper-extremity function: index development.
BMC Geriatr. 2017 06 02; 17(1):117.BG

Abstract

BACKGROUND

Numerous multidimensional assessment tools have been developed to measure frailty; however, the clinical feasibility of these tools is limited. We previously developed and validated an upper-extremity function (UEF) assessment method that incorporates wearable motion sensors. The purpose of the current study was to: 1) cross-sectionally validate the UEF method in a larger sample in comparison with the Fried index; 2) develop a UEF frailty index to predict frailty categories including non-frail, pre-frail, and frail based on UEF parameters and demographic information, using the Fried index as the gold standard; and 3) develop a UEF continuous score (points scores for each UEF parameter and a total frailty score) based on UEF parameters and demographic information, using the Fried index as the gold standard.

METHODS

We performed a cross-sectional validation and index development study within the Banner Medical Center, Tucson, and Banner Sun Health Research Institute, Sun City, Arizona. Community-dwelling and outpatient older adults (≥60 years; n = 352; 132 non-frail, 175 pre-frail, and 45 frail based on Fried criteria) were recruited. For the UEF test, each participant performed a 20-s elbow flexion, within which they repetitively and rapidly flexed and extended their dominant elbow. Using elbow motion outcomes two UEF indexes were developed (categorical and score). The Fried index was measured as the gold standard.

RESULTS

For the categorical index, speed of elbow flexion, elbow range of motion, elbow moment, number of flexion, speed variability and reduction within 20 s, as well as body mass index (BMI) were included as the pre-frailty/frailty predictor parameters. Results from 10-fold cross-validation showed receiver operator characteristic area under the curve of 0.77 ± 0.07 and 0.80 ± 0.12 for predicting Fried pre-frailty and frailty, respectively. UEF score (0.1 to 1.0) was developed using similar UEF parameters.

CONCLUSIONS

We present an objective, sensor-based frailty assessment tool based on physical frailty features including slowness, weakness, exhaustion (muscle fatigue), and flexibility of upper-extremity movements. Within the current study, the method was validated cross-sectionally using the Fried index as the gold standard and the UEF categorical index and UEF frailty score were developed for research purposes and potentially for future clinical use.

Authors+Show Affiliations

Arizona 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. Division of Geriatrics, General Internal Medicine and Palliative Medicine, Department of Medicine, University of Arizona, Tucson, AZ, USA. ntoosizadeh@aging.arizona.edu. Department of Biomedical Engineering, University of Arizona, Tucson, AZ, USA. ntoosizadeh@aging.arizona.edu.Arizona 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. Division of Geriatrics, General Internal Medicine and Palliative Medicine, Department of Medicine, University of Arizona, Tucson, AZ, USA.Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA.Arizona 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. Banner Sun Health Research Institute, Sun City, AZ, USA.Arizona 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. Division of Geriatrics, General Internal Medicine and Palliative Medicine, Department of Medicine, University of Arizona, Tucson, AZ, USA. Department of Biomedical Engineering, University of Arizona, Tucson, AZ, USA. Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

28577355

Citation

Toosizadeh, Nima, et al. "Frailty Assessment in Older Adults Using Upper-extremity Function: Index Development." BMC Geriatrics, vol. 17, no. 1, 2017, p. 117.
Toosizadeh N, Wendel C, Hsu CH, et al. Frailty assessment in older adults using upper-extremity function: index development. BMC Geriatr. 2017;17(1):117.
Toosizadeh, N., Wendel, C., Hsu, C. H., Zamrini, E., & Mohler, J. (2017). Frailty assessment in older adults using upper-extremity function: index development. BMC Geriatrics, 17(1), 117. https://doi.org/10.1186/s12877-017-0509-1
Toosizadeh N, et al. Frailty Assessment in Older Adults Using Upper-extremity Function: Index Development. BMC Geriatr. 2017 06 2;17(1):117. PubMed PMID: 28577355.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Frailty assessment in older adults using upper-extremity function: index development. AU - Toosizadeh,Nima, AU - Wendel,Christopher, AU - Hsu,Chiu-Hsieh, AU - Zamrini,Edward, AU - Mohler,Jane, Y1 - 2017/06/02/ PY - 2016/11/30/received PY - 2017/05/24/accepted PY - 2017/6/4/entrez PY - 2017/6/4/pubmed PY - 2018/1/24/medline KW - Disability KW - Geriatrics KW - Motor performance KW - Upper-limb movement KW - Wearable sensor SP - 117 EP - 117 JF - BMC geriatrics JO - BMC Geriatr VL - 17 IS - 1 N2 - BACKGROUND: Numerous multidimensional assessment tools have been developed to measure frailty; however, the clinical feasibility of these tools is limited. We previously developed and validated an upper-extremity function (UEF) assessment method that incorporates wearable motion sensors. The purpose of the current study was to: 1) cross-sectionally validate the UEF method in a larger sample in comparison with the Fried index; 2) develop a UEF frailty index to predict frailty categories including non-frail, pre-frail, and frail based on UEF parameters and demographic information, using the Fried index as the gold standard; and 3) develop a UEF continuous score (points scores for each UEF parameter and a total frailty score) based on UEF parameters and demographic information, using the Fried index as the gold standard. METHODS: We performed a cross-sectional validation and index development study within the Banner Medical Center, Tucson, and Banner Sun Health Research Institute, Sun City, Arizona. Community-dwelling and outpatient older adults (≥60 years; n = 352; 132 non-frail, 175 pre-frail, and 45 frail based on Fried criteria) were recruited. For the UEF test, each participant performed a 20-s elbow flexion, within which they repetitively and rapidly flexed and extended their dominant elbow. Using elbow motion outcomes two UEF indexes were developed (categorical and score). The Fried index was measured as the gold standard. RESULTS: For the categorical index, speed of elbow flexion, elbow range of motion, elbow moment, number of flexion, speed variability and reduction within 20 s, as well as body mass index (BMI) were included as the pre-frailty/frailty predictor parameters. Results from 10-fold cross-validation showed receiver operator characteristic area under the curve of 0.77 ± 0.07 and 0.80 ± 0.12 for predicting Fried pre-frailty and frailty, respectively. UEF score (0.1 to 1.0) was developed using similar UEF parameters. CONCLUSIONS: We present an objective, sensor-based frailty assessment tool based on physical frailty features including slowness, weakness, exhaustion (muscle fatigue), and flexibility of upper-extremity movements. Within the current study, the method was validated cross-sectionally using the Fried index as the gold standard and the UEF categorical index and UEF frailty score were developed for research purposes and potentially for future clinical use. SN - 1471-2318 UR - https://www.unboundmedicine.com/medline/citation/28577355/Frailty_assessment_in_older_adults_using_upper_extremity_function:_index_development_ L2 - https://bmcgeriatr.biomedcentral.com/articles/10.1186/s12877-017-0509-1 DB - PRIME DP - Unbound Medicine ER -