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The Discriminating Properties of an Optoelectronic Movement Analysis Method in Patients With Parkinsonism

Artikel i vetenskaplig tidskrift
Författare Theresa Zackrisson
Filip Bergquist
M. Eklund
Björn Holmberg
Thorleif Thorlin
Publicerad i Journal of Motor Behavior
Volym 45
Nummer/häfte 5
Sidor 415-422
ISSN 0022-2895
Publiceringsår 2013
Publicerad vid Institutionen för neurovetenskap och fysiologi, sektionen för klinisk neurovetenskap och rehabilitering
Institutionen för neurovetenskap och fysiologi, sektionen för farmakologi
Sidor 415-422
Språk en
Länkar dx.doi.org/10.1080/00222895.2013.81...
Ämnesord movement disorder, neurodegenerative disorder, objective quantification, optoelectronic movement, MULTIPLE SYSTEM ATROPHY, PROGRESSIVE SUPRANUCLEAR PALSY, RICHARDSON-OLSZEWSKI-SYNDROME, DIFFERENTIAL-DIAGNOSIS, CLINICAL-DIAGNOSIS, CSF-NEUROFILAMENT, RATING-SCALES, DISEASE, TESTS, PERFORMANCE
Ämneskategorier Klinisk medicin

Sammanfattning

Several partly overlapping diseases have Parkinsonism as a symptom and tools that may differentiate between these disorders would be helpful. The authors evaluated the discriminating properties of the objective automated posturo-locomotor-manual (PLM) L-DOPA test in regard to health, and the movement disorders Parkinson's disease (PD), multiple system atrophy (MSA), and progressive supranuclear palsy (PSP). A PLM test-retest procedure was performed in healthy controls (n = 37) and results were compared with PLM L-DOPA tests performed by 132 patients with Parkinsonism in intermediate to advanced stages (56 PD, 53 MSA, 23 PSP). The movement time (MT) for the standardized movement and its different components was measured. The discriminating abilities of individual, or combinations of, test variables were determined by forward stepwise multiple logistic regression and evaluated with receiver-operating characteristic (ROC) analysis. Each PLM variable separated healthy persons from patients with Parkinsonism before administration of L-DOPA (area under the curve (AUC) = 0.94-0.99, p < .001 for any separate variable). A combination of (MToff - MTon)/MToff and MTon had the highest ability to separate patients with PD from patients with atypical Parkinsonism (area under the curve = 0.91, p < .001). The PLM test discriminates between healthy controls and patients with Parkinsonism, and between patients with Parkinson's disease and patients with atypical Parkinsonism.

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