supported study by Dr. Heiko Gaßner and Dr. Cecilia Raccagni

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Presentation transcript:

supported study by Dr. Heiko Gaßner and Dr. Cecilia Raccagni The diagnostic scope of Sensor-Based Gait Analysis in Atypical Parkinsonism supported study by Dr. Heiko Gaßner and Dr. Cecilia Raccagni

Early diagnosis of MSA – a medical challenge! Postural instability and gait difficulty (PIGD) are disabling symptoms of Parkinson´s disease (PD) and atypical parkinsonian syndromes (APD), including MSA and Progressive Supranuclear Palsy (PSP). Sensor-based gait analysis revealed more quantitative gait deficits in MSA compared to PD. However, the diagnostic value of instrumented bedside tests (e.g. sensor-based gait analysis) compared to clinical evaluation in differential diagnosis has not been assessed so far.

Study design We compared gait parameters (gait velocity, stride length, gait variability etc.) of patients with MSA and PSP to those of sporadic PD patients. Cohorts were matched by disease duration, gender and age. Gait parameters were evaluated in standardized gait tests using an instrumented gait-analysis system. Figure designed by Jochen Klucken and P-HCT

Key findings The PIGD score identified APD patients correctly in most of the cases analyzed (>90% accuracy). The objective gait variability parameters reflecting instability of gait (e.g. stance time CV) discriminated APD from PD with similar accuracy. Gaßner, Raccagni et al. 2019 Frontiers in Neurology

Conclusions Sensor-based gait parameters support the neurologist in differentiating APD from PD. Importantly, they provide metric, objective added value, and serve as complementary outcomes supporting diagnostics and clinical trials. Our data need to be replicated and validated in larger patient cohorts.

Acknowledgments We are grateful to for: A grant in 2017 supporting this and other projects. We further thank Gregor Wenning (Innsbruck, Austria) and Jochen Klucken (Erlangen, Germany) for supporting our research activities.