Literature DB >> 31615193

A novel summary kinematic index for postural characterization in subjects with Parkinson's disease.

Federico Arippa1, Massimiliano Pau2, Veronica Cimolin3, Fabrizio Stocchi4, Michela Goffredo4, Marco Franceschini4, Claudia Condoluci4, Maria Francesca De Pandis5, Manuela Galli3.   

Abstract

BACKGROUND: Parkinson's disease (PD) is a progressive neurological disorder characterized, among other symptoms, by a significant modified posture. Although a detailed assessment of postural abnormalities can be performed using quantitative movement analysis, the output of such procedure might be not suitable for a routine clinical use due to its intrinsic complexity. However, synthetic measures may facilitate the interpretation of kinematic data for physicians and thus make such tools fully exploitable in daily practice. AIM: According to these considerations, the aim of the present study is to propose a new summary index, the Postural Profile Score (PPS, together with its constituent variables: Postural Variable Scores [PVSs]), which can characterize the postural kinematic biomechanical profile of an individual; this approach was then applied to a cohort of individuals with PD.
DESIGN: Controlled observational study.
SETTING: Movement Analysis Laboratory of Hospital. POPULATION: Forty-five individuals with PD in mild to severe disability stage, of mean age 65.9 (SD 8.3) years and 21 healthy control age-matched (CG) were tested using an optoelectronic system during bipedal quiet standing.
METHODS: Twelve joint angles of trunk and of lower limbs, considered representative of the whole-body posture according to Davis protocol, were acquired and the root mean square (RMS) difference between them and those of the unaffected participants (PVSs) were computed. Then, the PPS was calculated as a combination of the selected PVSs. The existence of possible differences between people with PD and controls for PPS and PVSs was assessed using MANOVA test. UPDRS III score was also considered in order to assess existence of correlation between synthetic indexes and Clinical scales values.
RESULTS: Significant differences in PPS were detected between PD and CG (8.59° vs. 6.11°, P<0.001) and in some of the considered PVS (Trunk Sagittal, Trunk Frontal, Trunk Transversal, Hip flexion-extension, Hip abdo-adduction and Knee flexion-extension). Significant positive correlations were found between Clinical scales Vs trunk and ankle orientation.
CONCLUSIONS: PPS could represent a reliable summary index of global postural abnormalities in people with PD, and in particular some PVSs appear more suitable to describe the deviation from a physiologic postural pattern. The results demonstrate that the posture in the patient with PD is modified compared to the control group. In particular, the trunk is the body district which mainly characterizes the alteration of the posture as documented by its PVSs values and their correlation with clinical evaluation scales. In conclusion, this study evidences the interest to measure the position of the trunk in order to characterize the postural kinematic position in individuals with PD. CLINICAL REHABILITATION IMPACT: PPS could be a useful tool for the characterization of postural phenotype in subjects with Parkinson's disease and could provide indications for specific rehabilitation protocols.

Entities:  

Year:  2019        PMID: 31615193     DOI: 10.23736/S1973-9087.19.05803-9

Source DB:  PubMed          Journal:  Eur J Phys Rehabil Med        ISSN: 1973-9087            Impact factor:   2.874


  4 in total

1.  Automated and accurate assessment for postural abnormalities in patients with Parkinson's disease based on Kinect and machine learning.

Authors:  Zhuoyu Zhang; Ronghua Hong; Ao Lin; Xiaoyun Su; Yue Jin; Yichen Gao; Kangwen Peng; Yudi Li; Tianyu Zhang; Hongping Zhi; Qiang Guan; LingJing Jin
Journal:  J Neuroeng Rehabil       Date:  2021-12-04       Impact factor: 4.262

2.  Strategic alterations of posture are delayed in Parkinson's disease patients during deep brain stimulation.

Authors:  Mitesh Patel; Maria H Nilsson; Stig Rehncrona; Fredrik Tjernström; Måns Magnusson; Rolf Johansson; Per-Anders Fransson
Journal:  Sci Rep       Date:  2021-12-07       Impact factor: 4.379

3.  A summary index derived from Kinect to evaluate postural abnormalities severity in Parkinson's Disease patients.

Authors:  Ronghua Hong; Tianyu Zhang; Zhuoyu Zhang; Zhuang Wu; Ao Lin; Xiaoyun Su; Yue Jin; Yichen Gao; Kangwen Peng; Lixi Li; Lizhen Pan; Hongping Zhi; Qiang Guan; Lingjing Jin
Journal:  NPJ Parkinsons Dis       Date:  2022-08-02

4.  Indexes for motor performance assessment in job integration/reintegration of people with neuromuscular disorders: A systematic review.

Authors:  Giorgia Chini; Lorenzo Fiori; Antonella Tatarelli; Tiwana Varrecchia; Francesco Draicchio; Alberto Ranavolo
Journal:  Front Neurol       Date:  2022-09-08       Impact factor: 4.086

  4 in total

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