Rebecca Thiede1, Nima Toosizadeh2, Joseph L Mills3, Mahmoud Zaky1, Jane Mohler2, Bijan Najafi4. 1. Interdisciplinary Consortium on Advanced Motion Performance (iCAMP) and Southern Arizona Limb Salvage Alliance (SALSA), Department of Surgery, College of Medicine, University of Arizona, Tucson, AZ, USA. 2. Interdisciplinary Consortium on Advanced Motion Performance (iCAMP) and Southern Arizona Limb Salvage Alliance (SALSA), Department of Surgery, College of Medicine, University of Arizona, Tucson, AZ, USA; Arizona Center on Aging, University of Arizona, Tucson, AZ, USA. 3. Interdisciplinary Consortium on Advanced Motion Performance (iCAMP) and Southern Arizona Limb Salvage Alliance (SALSA), Department of Surgery, College of Medicine, University of Arizona, Tucson, AZ, USA; Division of Vascular Surgery and Endovascular Therapy, Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX, USA. 4. Interdisciplinary Consortium on Advanced Motion Performance (iCAMP) and Southern Arizona Limb Salvage Alliance (SALSA), Department of Surgery, College of Medicine, University of Arizona, Tucson, AZ, USA; Arizona Center on Aging, University of Arizona, Tucson, AZ, USA; Division of Vascular Surgery and Endovascular Therapy, Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX, USA. Electronic address: najafi.bijan@gmail.com.
Abstract
BACKGROUND: Peripheral artery disease is associated with increased morbidity and mortality, and frailty syndrome may mediate the risk of these adverse health outcomes to predict intervention results. The aim of this study was to determine the association between motor performance impairments based on in-clinic gait and balance measurements with frailty at intermediate stages (pre-frailty) in peripheral artery disease patients. METHODS: Seventeen participants with peripheral artery disease (≥ 55 years) were recruited and frailty assessed using Fried criteria. Gait and balance were quantified using wearable sensor technologies in the clinical setting. Between-group differences in frailty were assessed using analysis of variance, and independent associations between gait and balance parameters with frailty were determined using logistic regression models. FINDINGS: Based on Fried index nine (53%), participants were pre-frail and eight (47%) were non-frail. Although no between-group differences in demographics or clinical parameters was observed, gait parameters were worse among pre-frail compared to non-frail participants. The highest effect sizes for between-group differences were observed in double support during habitual normal walking (effect size=1.86, p<0.01), speed variability during dual-task (effect size=1.26, p=0.03), and trunk sway during fast walking (effect size=1.43, p=0.02). No significant difference was observed in balance parameters (p>0.07). The regression model using gait parameters demonstrated a high sensitivity and specificity in predicting pre-frailty. INTERPRETATION: A short 25-step sensor-based in-clinic overground gait test objectively identified pre-frailty independent of age. Double support was the most sensitive parameter in identifying pre-frail aging adults.
BACKGROUND:Peripheral artery disease is associated with increased morbidity and mortality, and frailty syndrome may mediate the risk of these adverse health outcomes to predict intervention results. The aim of this study was to determine the association between motor performance impairments based on in-clinic gait and balance measurements with frailty at intermediate stages (pre-frailty) in peripheral artery diseasepatients. METHODS: Seventeen participants with peripheral artery disease (≥ 55 years) were recruited and frailty assessed using Fried criteria. Gait and balance were quantified using wearable sensor technologies in the clinical setting. Between-group differences in frailty were assessed using analysis of variance, and independent associations between gait and balance parameters with frailty were determined using logistic regression models. FINDINGS: Based on Fried index nine (53%), participants were pre-frail and eight (47%) were non-frail. Although no between-group differences in demographics or clinical parameters was observed, gait parameters were worse among pre-frail compared to non-frail participants. The highest effect sizes for between-group differences were observed in double support during habitual normal walking (effect size=1.86, p<0.01), speed variability during dual-task (effect size=1.26, p=0.03), and trunk sway during fast walking (effect size=1.43, p=0.02). No significant difference was observed in balance parameters (p>0.07). The regression model using gait parameters demonstrated a high sensitivity and specificity in predicting pre-frailty. INTERPRETATION: A short 25-step sensor-based in-clinic overground gait test objectively identified pre-frailty independent of age. Double support was the most sensitive parameter in identifying pre-frail aging adults.
Authors: Nima Toosizadeh; Hong Lei; Michael Schwenk; Scott J Sherman; Esther Sternberg; Jane Mohler; Bijan Najafi Journal: Gerontology Date: 2014-10-22 Impact factor: 5.140
Authors: L P Fried; C M Tangen; J Walston; A B Newman; C Hirsch; J Gottdiener; T Seeman; R Tracy; W J Kop; G Burke; M A McBurnie Journal: J Gerontol A Biol Sci Med Sci Date: 2001-03 Impact factor: 6.053
Authors: A T Hirsch; M H Criqui; D Treat-Jacobson; J G Regensteiner; M A Creager; J W Olin; S H Krook; D B Hunninghake; A J Comerota; M E Walsh; M M McDermott; W R Hiatt Journal: JAMA Date: 2001-09-19 Impact factor: 56.272
Authors: Nima Toosizadeh; Hannah Stocker; Rebecca Thiede; Jane Mohler; Joseph L Mills; Bijan Najafi Journal: Vasc Med Date: 2016-09-15 Impact factor: 3.239
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Authors: Jacy Aurelia Vieira de Sousa; Maria Helena Lenardt; Clóris Regina Blanski Grden; Luciana Kusomota; Mara Solange Gomes Dellaroza; Susanne Elero Betiolli Journal: Rev Lat Am Enfermagem Date: 2018-09-06