Literature DB >> 28463202

Gait Velocity and Chair Sit-Stand-Sit Performance Improves Current Frailty-Status Identification.

Nora Millor, Pablo Lecumberri, Marisol Gomez, Alicia Martinez, Jon Martinikorena, L Rodriguez-Manas, F J Garcia-Garcia, Mikel Izquierdo.   

Abstract

Frailty is characterized by a loss of functionality and is expected to affect 9.9% of people aged 65 and over. Here, current frailty classification is compared with a collection of selected kinematic parameters. A total of 718 elderly subjects (319 males and 399 females; age: 75.4 ± 6.1 years), volunteered to participate in this study and were classified according to Fried's criteria. Both the 30-s chair stand test (CST) and the 3-m walking test were performed and a set of kinematic parameters were obtained from a single inertial unit. A decision tree analysis was used to: 1) identify the most relevant frailty-related parameters and 2) compare validity of this classification. We found that a selected set of parameters from the 30-s CST (i.e., range of movement, acceleration, and power) were better at identifying frailty status than both the actual outcome of the test (i.e., cycles' number) and the normally used criteria (i.e., gait speed). For the pre-frail status, AUC improves from 0.531 using the actual test outcome and 0.516 with gait speed to 0.938 with the kinematic parameters criteria. In practice, this could improve the presyndrome identification and perform the appropriate actions to postpone the progression into the frail status.

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Year:  2017        PMID: 28463202     DOI: 10.1109/TNSRE.2017.2699124

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  10 in total

1.  Assessment of frailty: a survey of quantitative and clinical methods.

Authors:  Yasmeen Naz Panhwar; Fazel Naghdy; Golshah Naghdy; David Stirling; Janette Potter
Journal:  BMC Biomed Eng       Date:  2019-03-18

2.  Association between handgrip strength, walking, age-related illnesses and cognitive status in a sample of Portuguese centenarians.

Authors:  Maria Vaz-Patto; Belén Bueno; Óscar Ribeiro; Laetitia Teixeira; Rosa Marina Afonso
Journal:  Eur Rev Aging Phys Act       Date:  2017-07-01       Impact factor: 3.878

3.  Improvement of perioperative care of the elderly patient (PeriAge): protocol of a controlled interventional feasibility study.

Authors:  Cynthia Olotu; Lisa Lebherz; Levente Kriston; Rainer Kiefmann; Martin Härter; Anna Mende; Lili Plümer; Alwin E Goetz; Christian Zöllner
Journal:  BMJ Open       Date:  2019-11-24       Impact factor: 2.692

4.  Effect of Fear of Falling on Mobility Measured During Lab and Daily Activity Assessments in Parkinson's Disease.

Authors:  Arash Atrsaei; Clint Hansen; Morad Elshehabi; Susanne Solbrig; Daniela Berg; Inga Liepelt-Scarfone; Walter Maetzler; Kamiar Aminian
Journal:  Front Aging Neurosci       Date:  2021-11-30       Impact factor: 5.750

5.  Random forest algorithms to classify frailty and falling history in seniors using plantar pressure measurement insoles: a large-scale feasibility study.

Authors:  Emi Anzai; Dian Ren; Leo Cazenille; Nathanael Aubert-Kato; Julien Tripette; Yuji Ohta
Journal:  BMC Geriatr       Date:  2022-09-12       Impact factor: 4.070

6.  Validity of an iPhone App to Detect Prefrailty and Sarcopenia Syndromes in Community-Dwelling Older Adults: The Protocol for a Diagnostic Accuracy Study.

Authors:  Alessio Montemurro; Juan D Ruiz-Cárdenas; María Del Mar Martínez-García; Juan J Rodríguez-Juan
Journal:  Sensors (Basel)       Date:  2022-08-11       Impact factor: 3.847

7.  Digital Biomarker Representing Frailty Phenotypes: The Use of Machine Learning and Sensor-Based Sit-to-Stand Test.

Authors:  Catherine Park; Ramkinker Mishra; Amir Sharafkhaneh; Mon S Bryant; Christina Nguyen; Ilse Torres; Aanand D Naik; Bijan Najafi
Journal:  Sensors (Basel)       Date:  2021-05-08       Impact factor: 3.576

Review 8.  How wearable sensors have been utilised to evaluate frailty in older adults: a systematic review.

Authors:  Grainne Vavasour; Oonagh M Giggins; Julie Doyle; Daniel Kelly
Journal:  J Neuroeng Rehabil       Date:  2021-07-08       Impact factor: 4.262

9.  Inertial Sensor-Based Variables Are Indicators of Frailty and Adverse Post-Operative Outcomes in Cardiovascular Disease Patients.

Authors:  Rahul Soangra; Thurmon E Lockhart
Journal:  Sensors (Basel)       Date:  2018-06-02       Impact factor: 3.576

Review 10.  Instrumented Analysis of the Sit-to-Stand Movement for Geriatric Screening: A Systematic Review.

Authors:  Brajesh Shukla; Jennifer Bassement; Vivek Vijay; Sandeep Yadav; David Hewson
Journal:  Bioengineering (Basel)       Date:  2020-11-06
  10 in total

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