June 2017
Volume 58, Issue 8
Open Access
ARVO Annual Meeting Abstract  |   June 2017
Gait Characteristics of Age-related Macular Degeneration (AMD) patients
Author Affiliations & Notes
  • Varshini Varadaraj
    Wilmer Eye Institute, Glaucoma, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States
  • Aleksandra Mihailovic
    Wilmer Eye Institute, Glaucoma, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States
  • Rebecca Ehrenkranz
    Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States
  • Stephen Lesche
    Johns Hopkins School of Medicine, Baltimore, Maryland, United States
  • Pradeep Ramulu
    Wilmer Eye Institute, Glaucoma, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States
  • Bonnielin K Swenor
    Wilmer Eye Institute, Johns Hopkins, Baltimore, Maryland, United States
  • Footnotes
    Commercial Relationships   Varshini Varadaraj, None; Aleksandra Mihailovic, None; Rebecca Ehrenkranz, None; Stephen Lesche, None; Pradeep Ramulu, None; Bonnielin Swenor, None
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science June 2017, Vol.58, 3286. doi:
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      Varshini Varadaraj, Aleksandra Mihailovic, Rebecca Ehrenkranz, Stephen Lesche, Pradeep Ramulu, Bonnielin K Swenor; Gait Characteristics of Age-related Macular Degeneration (AMD) patients. Invest. Ophthalmol. Vis. Sci. 2017;58(8):3286.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose : To identify, as part of a cross-sectional, case-control study, gait characteristics in AMD patients that may put them at a higher risk for mobility difficulty and increased falls than visually normal controls.

Methods : Twenty-nine patients with AMD and 20 controls without AMD, all between the ages of 65 and 90 years and walking without any mobility devices, were recruited from the Wilmer Eye Institute, Johns Hopkins. The GAITRite electronic walkway was used to collect temporal and spatial gait parameters. Multiple linear regression models were utilized to assess association between gait parameters and AMD status after controlling for age, gender, and body mass index (BMI). For each measure, gait variability was judged via the inter-stride coefficient of variation value.

Results : Study participants were predominantly white (86%) and the majority were female (55%). Mean age of the full study population was 73.51 (SD: 8.14) years, while mean BMI was 27.80 (SD: 5.44) kg/m2. Median better-eye acuity (logMAR) was 0.23 (IQR=0.18, 0.36) and -0.02 (-0.08, 0.02) for the AMD and control groups (p=0.00), respectively, while median binocular logCS values were 1.44 (IQR=1.32, 1.56) and 1.76 (1.76, 1.80) (p=0.00). In regression models, AMD patients had significantly slower walking speeds (β= -11.79 cm/sec, 95% CI = -22.87, -0.72, p=0.037) and stride velocity (β= -11.92 cm/sec, 95% CI = -23.10, -0.73, p=0.037) as compared to controls. AMD was also associated with greater variability in stride length (β= -1.24 %, 95% CI = -2.26, -0.23, p=0.018) and stride velocity (β= -1.95 %, 95% CI = -3.61, -0.28, p=0.023) as compared to controls. There were no group differences in base of support, step length, and stride length, or variability in base of support and step length.

Conclusions : When compared to controls, AMD patients have significantly slower walking speeds and exhibited greater gait variability. Each of these gait parameters has been previously associated with a greater risk of fall, suggesting that these gait characteristics may contribute to mobility issues and falls in patients with AMD.

This is an abstract that was submitted for the 2017 ARVO Annual Meeting, held in Baltimore, MD, May 7-11, 2017.

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