Literature DB >> 18515291

Prognostic validity of the Timed Up-and-Go test, a modified Get-Up-and-Go test, staff's global judgement and fall history in evaluating fall risk in residential care facilities.

Ellinor Nordin1, Nina Lindelöf, Erik Rosendahl, Jane Jensen, Lillemor Lundin-Olsson.   

Abstract

OBJECTIVES: to evaluate and compare the prognostic validity relative to falls of the Timed Up-and-Go test (TUG), a modified Get-Up-and-Go test (GUG-m), staff's judgement of global rating of fall risk (GLORF) and fall history among frail older people.
DESIGN: cohort study, 6-month prospective follow-up for falls. PARTICIPANTS: 183 frail persons living in residential care facilities in Sweden, mean age 84 years, 73% women.
METHODS: the occurrence of falls during the follow-up period were compared to the following assessments at baseline: the TUG at normal speed; the GUG-m, a rating of fall risk scored from 1 (no risk) to 5 (very high risk); the GLORF, staff's rating of fall risk as 'high' or 'low'; a history of falls in the previous 6 months. These assessment tools were evaluated using sensitivity, specificity and positive and negative likelihood ratios (LR(+) to rule in and LR(-) to rule out a high fall risk).
RESULTS: 53% of the participants fell at least once. Various cut-off values of the TUG (12, 15, 20, 25, 30, 35, 40 s) and the GUG-m showed LR(+) between 0.9 and 2.6 and LR(-) between 0.1 and 1.0. The GLORF showed an LR(+) of 2.8 and an LR(-) of 0.6 and fall history showed an LR(+) of 2.4 and an LR(-) of 0.6.
CONCLUSIONS: in this population of frail older people, staff judgement of their residents' fall risk as well as previous falls both appear superior to the performance-based measures TUG and GUG-m in ruling in a high fall risk. A TUG score of less than 15 s gives guidance in ruling out a high fall risk but insufficient information in ruling in such a risk. The grading of fall risk by GUG-m appears of very limited value.

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Year:  2008        PMID: 18515291     DOI: 10.1093/ageing/afn101

Source DB:  PubMed          Journal:  Age Ageing        ISSN: 0002-0729            Impact factor:   10.668


  40 in total

Review 1.  Timed Up and Go test and risk of falls in older adults: a systematic review.

Authors:  O Beauchet; B Fantino; G Allali; S W Muir; M Montero-Odasso; C Annweiler
Journal:  J Nutr Health Aging       Date:  2011-12       Impact factor: 4.075

2.  Baseline characteristics of participants in the VITamin D and OmegA-3 TriaL (VITAL): Effects on Bone Structure and Architecture.

Authors:  Catherine M Donlon; Meryl S LeBoff; Sharon H Chou; Nancy R Cook; Trisha Copeland; Julie E Buring; Vadim Bubes; Gregory Kotler; JoAnn E Manson
Journal:  Contemp Clin Trials       Date:  2018-02-23       Impact factor: 2.226

3.  Comment: Kay et al.'s (2020) Isokinetic eccentric exercise substantially improves mobility, muscle strength, and size, but not postural sway metrics in older adults with limited regression observed following a detraining period. Eur J Appl Physiol.

Authors:  Moisés Costa do Couto; Matheus Santos de Sousa Fernandes; Tony Meireles Dos Santos
Journal:  Eur J Appl Physiol       Date:  2021-03-22       Impact factor: 3.078

4.  Properties of the 'timed up and go' test: more than meets the eye.

Authors:  Talia Herman; Nir Giladi; Jeffrey M Hausdorff
Journal:  Gerontology       Date:  2010-05-20       Impact factor: 5.140

5.  Is timed up and go better than gait speed in predicting health, function, and falls in older adults?

Authors:  Laura J Viccaro; Subashan Perera; Stephanie A Studenski
Journal:  J Am Geriatr Soc       Date:  2011-03-15       Impact factor: 5.562

6.  Gender- and age-group-specific associations between physical performance and bone mineral density, falls, and osteoporotic fractures in Koreans: the Chungju Metabolic Disease Cohort study.

Authors:  Yejee Lim; Kyunghee Kim; Sun-Hee Ko; Kwanhoon Cho; Eun-Hee Jang; Seung-Hwan Lee; Dong Jun Lim; Ki Hyun Baek; Hee-Sung Ha; Mi Sun Park; Hyeon-Woo Yim; Won-Chul Lee; Kun-Ho Yoon; Ho Young Son; Ki Won Oh; Moo-Il Kang
Journal:  J Bone Miner Metab       Date:  2015-06-09       Impact factor: 2.626

Review 7.  Toward Automating Clinical Assessments: A Survey of the Timed Up and Go.

Authors:  Gina Sprint; Diane J Cook; Douglas L Weeks
Journal:  IEEE Rev Biomed Eng       Date:  2015-01-12

8.  In-hospital fall-risk screening in 4,735 geriatric patients from the LUCAS project.

Authors:  L Neumann; V S Hoffmann; S Golgert; J Hasford; W Von Renteln-Kruse
Journal:  J Nutr Health Aging       Date:  2013-03       Impact factor: 4.075

9.  What Is "Enhanced Recovery," and How Can I Do It?

Authors:  Bradford J Kim; Thomas A Aloia
Journal:  J Gastrointest Surg       Date:  2017-10-24       Impact factor: 3.452

10.  Gait speed and survival of older surgical patient with cancer: Prediction after machine learning.

Authors:  Keyvan Sasani; Helen N Catanese; Alireza Ghods; Seyed Ali Rokni; Hassan Ghasemzadeh; Robert J Downey; Armin Shahrokni
Journal:  J Geriatr Oncol       Date:  2018-07-13       Impact factor: 3.599

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