Literature DB >> 22252778

Predicting prosthetic use in elderly patients after major lower limb amputation.

Monica Spruit- van Eijk1, Harmen van der Linde, Bianca Buijck, Alexander Geurts, Sytse Zuidema, Raymond Koopmans.   

Abstract

BACKGROUND: The main determinants of prosthetic use known from literature apply to the younger patient with lower limb amputation. Studies aimed at identifying determinants of outcome of lower limb amputation in elderly patients with multimorbidity that rehabilitate in skilled nursing facilities (SNFs) are scarce.
OBJECTIVES: To predict prosthetic use and physical mobility in geriatric patients admitted to SNFs for rehabilitation after lower limb amputation and the impact of multimorbidity. STUDY
DESIGN: Prospective design.
METHODS: Univariate and multivariate logistic and linear regression analyses were used to identify determinants that were independently related to prosthetic use and the timed-up-and-go test (TUG test).
RESULTS: Of 55 eligible patients, 38 had complete assessments on admission and at discharge. Fifty per cent was provided with a prosthesis. Multimorbidity was present in 53% of the patients. Being able to ambulate independently, and having a transtibial amputation (rather than a higher level of amputation), without phantom pain determined prosthetic use (R(2)=56%), while cognitive abilities, low amputation level, and pre-operative functional abilities were independently associated with the TUG test (R(2)=82%).
CONCLUSIONS: Elderly patients referred to an SNF for prosthetic training have a high probability of using a prosthesis when having an independent ambulation after transtibial amputation, without phantom pain. These patients should be considered for prosthetic training.

Entities:  

Mesh:

Year:  2012        PMID: 22252778     DOI: 10.1177/0309364611430885

Source DB:  PubMed          Journal:  Prosthet Orthot Int        ISSN: 0309-3646            Impact factor:   1.895


  11 in total

1.  Predictors of Receiving a Prosthesis for Adults With Above-Knee Amputations in a Well-Defined Population.

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2.  PREDICTING WALKING ABILITY FOLLOWING LOWER LIMB AMPUTATION: AN UPDATED SYSTEMATIC LITERATURE REVIEW.

Authors:  Jason T Kahle; M Jason Highsmith; Hans Schaepper; Anton Johannesson; Michael S Orendurff; Kenton Kaufman
Journal:  Technol Innov       Date:  2016-09-01

3.  Predicting successful prosthetic rehabilitation in major lower-limb amputation patients: a 15-year retrospective cohort study.

Authors:  Inés Fajardo-Martos; Olga Roda; Ramón Zambudio-Periago; Aurora Bueno-Cavanillas; Fidel Hita-Contreras; Indalecio Sánchez-Montesinos
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4.  Association of self-reported cognitive concerns with mobility in people with lower limb loss.

Authors:  Valerie E Kelly; Sara J Morgan; Dagmar Amtmann; Rana Salem; Brian J Hafner
Journal:  Disabil Rehabil       Date:  2016-10-19       Impact factor: 3.033

5.  Differences in Physical Performance Measures Among Patients With Unilateral Lower-Limb Amputations Classified as Functional Level K3 Versus K4.

Authors:  Jaclyn Megan Sions; Emma Haldane Beisheim; Tara Jo Manal; Sarah Carolyn Smith; John Robert Horne; Frank Bernard Sarlo
Journal:  Arch Phys Med Rehabil       Date:  2018-02-01       Impact factor: 3.966

6.  Self-Reported Cognitive Concerns in People With Lower Limb Loss.

Authors:  Sara J Morgan; Valerie E Kelly; Dagmar Amtmann; Rana Salem; Brian J Hafner
Journal:  Arch Phys Med Rehabil       Date:  2016-02-01       Impact factor: 3.966

7.  Use of prostheses in lower limb amputee patients due to peripheral arterial disease.

Authors:  Therezinha Rosane Chamlian
Journal:  Einstein (Sao Paulo)       Date:  2014 Oct-Dec

8.  Investigation of amputees with prosthetic limbs at our hospital.

Authors:  Kayo Tokeji; Hirotaka Mutsuzaki; Yukiyo Shimizu; Ryoko Takeuchi; Yuki Mataki; Yasuyoshi Wadano
Journal:  J Rural Med       Date:  2017-11-30

9.  Mobility Analysis of AmpuTees II: Comorbidities and Mobility in Lower Limb Prosthesis Users.

Authors:  Shane R Wurdeman; Phillip M Stevens; James H Campbell
Journal:  Am J Phys Med Rehabil       Date:  2018-11       Impact factor: 2.159

10.  Cost-effectiveness and budget impact of the microprocessor-controlled knee C-Leg in transfemoral amputees with and without diabetes mellitus.

Authors:  Alexander Kuhlmann; Henning Krüger; Susanne Seidinger; Andreas Hahn
Journal:  Eur J Health Econ       Date:  2020-01-02
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