Objective: Evaluate the usefulness of biomechanical assessment of gait in patients with Parkinson’s disease.

Background: There are no biomarkers or objective measurements accepted to determine severity and progression of Parkinson’s disease.
There is currently no optimal sensor that obtains measurements to assess stability and gait balance.

Method: Center of Parkinson, Abnormal Movements and Neuro-Restoration of the Institute of Neurology and Neurosurgery of the Zambrano-Hellion Hospital.2015-2017.
Subjects: Patients with PD in the outpatient clinic were included consecutively for convenience. Controls: Family members or primary caregivers who voluntarily wanted to participate as a control were invited. Sample: 23 patients and 30 control subjects.
Biomechanical evaluation: DARI consists of 14 cameras that collect movement analysis data without physical markers (DARIMotion, Kansas City, USA) 
Statistical Analysis: Tests for normal distribution were performed for both the control group and the Parkinson’s group, subsequently both parametric and non-parametric distribution tests were performed using the t-test and Mann-Whitney U test respectively. p <0.05 was considered as the limit of significance. Data analysis: SPSS version 22.0

Results: In the control group 30 patients were recruited 56% were male and the average age was 60.5. In the PD group 23 patients were recruited, 60% were male and the average age was 72.0, the rest of somatometric variables had no statistical significance. Significantly statistical differences between groups were found for right and left shoulder flexion, Bilateral Square Shift, Right and left stride length and height.

Conclusion: Differences with statistical significance were found in some of the DARI motor sections in the control group and Parkinson’s group. Studies with better design, larger sample size are required to confirm our results. Our results suggest that DARI may be useful for motor assessment in patients with Parkinson’s.

References: 1. Bertram, L. “The Genetic Epidemiology of Neurodegenerative Disease.” Journal of Clinical Investigation 115.6 (2005): 1449-457. 2. The Unified Parkinson’s Diseases Rating Scale (UPDRS): status and recommendations. Movement Disorder Society Task Force on Rating Scales for Parkinson’s Disease. Mov Disord, 2003 Jul; 18(7)738-50. 3. Martínez Martin P., Rodríguez Blazquez, et al. Expanded and independent validation of the Movement Disorder Society-Unified Parkinson’s Disease Rating Scale (MDS-UPDRS). J Neurol. 2013 Jan; 260(1): 288-36. 4. Lang AE, Houeto JL, Krack P, et al. Deep brain stimulation: preoperative issues. Mov Disord. 2006; 21:S171–S196. [PubMed: 16810718] 5. Lees, A. J. “The On-off Phenomenon.” Journal of Neurology, Neurosurgery & Psychiatry 52.Suppl (1989): 29-37. 6. Brooks, David. “Optimizing Levodopa Therapy for Parkinson’s Disease with Levodopa/carbidopa/entacapone: Implications from a Clinical and Patient Perspective.” Neuropsychiatric Disease and Treatment (2008): 39. 7. Post Bard, Maruschka PM, et al. Unified Parkinson’s disease rating scale motor examination: Are rating of nurses, residents in neurology and movement disorders specialists interchangeable? Mov Disord. 2005 Dec;20(12)1577-1584. 8. Goetz CG, Stebbins GT. Assuring interrater reliability for the UPDRS motor section: utility of the UPDRS teaching tape. Mov Disord 2004;19:1453–1456. 9. Podsiadlo, D., Richardson, S. “ The timed ‘Up and Go’ Test: a Test of Basic Functional Mobility for Frail Elderly Persons”. Journal of American Geriatric Society. 1991; 39:142-148 10. Keliner,A. et.al. “Time up to go with wereable devices: Validation in Parkinson´s disease”. Journal of bodywork and movement therapies. (2017). 11. Hubble, R. et.al. “Wearable sensor use for assessing standing balance and walking stability in people with Parkinson´s Disease: A Systematic Review”. PLOS one (2015):10. 12. Rodriguez, M. et.al. “Diagnóstico y tratamiento de la Enfermedad de Parkinson”. Inicial y avanzada en tercer nivel de atención. Guía de Practica Clinica. Consejo de Salubridad General. (2010) 10-11. 13. Schlachetzki, J. et.al. “Wereable sensors objectively measure gait parameters in Parkinson´s disease”. PLOS one. (2017):12. 14. Silva, A. et.al. “Freezing of gait and fall detection in Parkinson´s disease using wearable sensors: a systematic review”. Journal of Neurology. (2017): 264.

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MDS Abstracts - https://www.mdsabstracts.org/abstract/comparative-evaluation-of-the-biomechanical-analysis-of-gait-in-patients-with-parkinsons-disease-vs-controls-of-the-zambrano-hellion-hospital/