Literature DB >> 27634957

Alterations in gait parameters with peripheral artery disease: The importance of pre-frailty as a confounding variable.

Nima Toosizadeh1,2, Hannah Stocker2, Rebecca Thiede1, Jane Mohler1,2, Joseph L Mills1,3, Bijan Najafi4,2,3.   

Abstract

Although poor walking is the most common symptom of peripheral artery disease (PAD), reported results are inconsistent when comparing gait parameters between PAD patients and healthy controls. This inconsistency may be due to frailty, which is highly prevalent among PAD patients. To address this hypothesis, 41 participants, 17 PAD (74±8 years) and 24 aged-matched controls (76±7 years), were recruited. Gait was objectively assessed using validated wearable sensors. Analysis of covariate (ANCOVA) tests were used to compare gait parameters between PAD and non-PAD groups, considering age, gender, and body mass index as covariates, while stratified based on frailty status. According to the Fried frailty index, 47% of PAD and 50% of control participants were non-frail and the rest were classified as pre-frail. Within non-frail participants, gait speed, body sway during walking, stride length, gait cycle time, double-support, knee range of motion, speed variability, mid-swing speed, and gait initiation were significantly different between PAD and control groups (effect size d = 0.75±0.43). In the pre-frail group, however, most of the gait differences were diminished except for gait initiation and gait variability. Results suggest that gait initiation is the most sensitive parameter for detecting gait impairment in PAD participants when compared to controls, regardless of frailty status (d = 1.30-1.41; p<0.050). The observed interaction effect between frailty and PAD on gait parameters confirms the importance of assessing functionality in addition to age to provide more consistency in detecting motor performance impairments due to PAD.
© The Author(s) 2016.

Entities:  

Keywords:  gait analysis; peripheral artery disease; pre-frailty

Mesh:

Year:  2016        PMID: 27634957      PMCID: PMC6647841          DOI: 10.1177/1358863X16660626

Source DB:  PubMed          Journal:  Vasc Med        ISSN: 1358-863X            Impact factor:   3.239


  40 in total

1.  Spatio-temporal parameters of gait measured by an ambulatory system using miniature gyroscopes.

Authors:  Kamiar Aminian; B Najafi; C Büla; P-F Leyvraz; Ph Robert
Journal:  J Biomech       Date:  2002-05       Impact factor: 2.712

2.  Altered gait profile in subjects with peripheral arterial disease.

Authors:  A W Gardner; L Forrester; G V Smith
Journal:  Vasc Med       Date:  2001       Impact factor: 3.239

3.  Step length variability at gait initiation in elderly fallers and non-fallers, and young adults.

Authors:  Ginette Azizah Mbourou; Yves Lajoie; Normand Teasdale
Journal:  Gerontology       Date:  2003 Jan-Feb       Impact factor: 5.140

4.  Asymptomatic peripheral arterial disease is independently associated with impaired lower extremity functioning: the women's health and aging study.

Authors:  M M McDermott; L Fried; E Simonsick; S Ling; J M Guralnik
Journal:  Circulation       Date:  2000-03-07       Impact factor: 29.690

5.  Decreased NADH dehydrogenase and ubiquinol-cytochrome c oxidoreductase in peripheral arterial disease.

Authors:  E P Brass; W R Hiatt; A W Gardner; C L Hoppel
Journal:  Am J Physiol Heart Circ Physiol       Date:  2001-02       Impact factor: 4.733

6.  Frailty in older adults: evidence for a phenotype.

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

7.  Gait alterations associated with walking impairment in people with peripheral arterial disease with and without intermittent claudication.

Authors:  M M McDermott; S M Ohlmiller; K Liu; J M Guralnik; G J Martin; W H Pearce; P Greenland
Journal:  J Am Geriatr Soc       Date:  2001-06       Impact factor: 5.562

8.  Peripheral arterial disease detection, awareness, and treatment in primary care.

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

9.  The effects of peripheral vascular disease on gait.

Authors:  K McCully; C Leiper; T Sanders; E Griffin
Journal:  J Gerontol A Biol Sci Med Sci       Date:  1999-07       Impact factor: 6.053

10.  Ambulatory system for human motion analysis using a kinematic sensor: monitoring of daily physical activity in the elderly.

Authors:  Bijan Najafi; Kamiar Aminian; Anisoara Paraschiv-Ionescu; François Loew; Christophe J Büla; Philippe Robert
Journal:  IEEE Trans Biomed Eng       Date:  2003-06       Impact factor: 4.538

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  1 in total

Review 1.  Frailty In Patients Undergoing Vascular Surgery: A Narrative Review Of Current Evidence.

Authors:  Nikoletta Rahel Czobor; Jean-Jacques Lehot; Eniko Holndonner-Kirst; Phillip J Tully; Janos Gal; Andrea Szekely
Journal:  Ther Clin Risk Manag       Date:  2019-10-17       Impact factor: 2.423

  1 in total

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