A noninvasive method to quantify the impairment of spinal motion ability in Parkinson’s disease

Autor: Philipp Spindler, Yasmin Alzoobi, Peter Truckenmüller, Sabine Hahn, Yves N. Manzoni, Lucia Feldmann, Kay-Geert Hermann, Andrea A. Kühn, Katharina Faust, Gerd-Helge Schneider, Peter Vajkoczy, Hendrik Schmidt
Rok vydání: 2022
Předmět:
Zdroj: European Spine Journal. 31:3316-3323
ISSN: 1432-0932
0940-6719
Popis: Purpose There is a high demand on spinal surgery in patients with Parkinson’s disease (PD) but the results are sobering. Although detailed clinical and radiological diagnostics were carried out with great effort and expense, the biodynamic properties of the spine of PD patients have never been considered. We propose a noninvasive method to quantify the impairment of motion abilities in patients with PD. Methods We present an analytical cross-sectional study of 21 patients with severe PD. All patients underwent a biodynamic assessment during a standardized movement-choreography. Thus, individual spinal motion profiles of each patient were objectively assessed and compared with a large comparative cohort of individuals without PD. Moreover, clinical scores to quantify motor function and lumbar back pain were collected and X-ray scans of the spine in standing position were taken and analysed. Results Biodynamic measurement showed that 36.9% of the assessed motions of all PD patients were severely impaired. Men were generally more functionally impaired than women, in 52% of all motion parameters. The neurological and radiological diagnostics recorded pathological values, of which UPDRS-III ON correlated with findings of the biodynamics assessment (R = 0.52, p = 0.02). Conclusions The decision to operate on a PD patient’s spine is far-reaching and requires careful consideration. Neurological and radiological scores did not correlate with the biodynamics of the spine. The resulting motion profile could be used as individual predictive factor to estimate whether patients are eligible for spinal surgery or alternative therapies.
Databáze: OpenAIRE
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