Literature DB >> 22124286

Portable, Non-Invasive Fall Risk Assessment in End Stage Renal Disease Patients on Hemodialysis.

Thurmon E Lockhart1, Adam T Barth, Xiaoyue Zhang, Rahul Songra, Emaad Abdel-Rahman, John Lach.   

Abstract

Patients with end stage renal diseases (ESRD) on hemodialysis (HD) have high morbidity and mortality due to multiple causes, one of which is dramatically higher fall rates than the general population. The mobility mechanisms that contribute to falls in this population must be understood if adequate interventions for fall prevention are to be achieved. This study utilizes emerging non-invasive, portable gait, posture, strength, and stability assessment technologies to extract various mobility parameters that research has shown to be predictive of fall risk in the general population. As part of an ongoing human subjects study, mobility measures such as postural and locomotion profiles were obtained from five (5) ESRD patients undergoing HD treatments. To assess the effects of post-HD-fatigue on fall risk, both the pre- and post-HD measurements were obtained. Additionally, the effects of inter-HD periods (two days vs. three days) were investigated using the non-invasive, wireless, body-worn motion capture technology and novel signal processing algorithms. The results indicated that HD treatment influenced strength and mobility (i.e., weaker and slower after the dialysis, increasing the susceptibility to falls while returning home) and inter-dialysis period influenced pre-HD profiles (increasing the susceptibility to falls before they come in for a HD treatment). Methodology for early detection of increased fall risk - before a fall event occurs - using the portable mobility assessment technology for out-patient monitoring is further explored, including targeting interventions to identified individuals for fall prevention.

Entities:  

Year:  2010        PMID: 22124286      PMCID: PMC3223867          DOI: 10.1145/1921081.1921092

Source DB:  PubMed          Journal:  ACM Trans Comput Hum Interact        ISSN: 1073-0516            Impact factor:   2.351


  32 in total

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  7 in total

1.  The effect of hemodialysis on balance measurements and risk of fall.

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Journal:  Int Urol Nephrol       Date:  2016-08-06       Impact factor: 2.370

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Authors:  Ann E Horigan; Julie V Barroso
Journal:  Nephrol Nurs J       Date:  2016 Mar-Apr       Impact factor: 0.959

4.  Gait characteristics of CKD patients: a systematic review.

Authors:  Damiano D Zemp; Olivier Giannini; Pierluigi Quadri; Eling D de Bruin
Journal:  BMC Nephrol       Date:  2019-03-06       Impact factor: 2.388

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Authors:  He Zhou; Fadwa Al-Ali; Hadi Rahemi; Nishat Kulkarni; Abdullah Hamad; Rania Ibrahim; Talal K Talal; Bijan Najafi
Journal:  Sensors (Basel)       Date:  2018-11-14       Impact factor: 3.576

6.  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

7.  Smartphone-Based Prediction Model for Postoperative Cardiac Surgery Outcomes Using Preoperative Gait and Posture Measures.

Authors:  Rahul Soangra; Thurmon Lockhart
Journal:  Sensors (Basel)       Date:  2021-03-02       Impact factor: 3.576

  7 in total

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