SensorBased 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 Parkinsons disease PD and atypic ID: 933375
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Slide1
The diagnostic scope of Sensor-Based Gait Analysis in Atypical Parkinsonism
supported
studyby Dr. Heiko Gaßner and Dr. Cecilia Raccagni
Slide2Early 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.
Slide3Study designWe 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
Slide4Key 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
Slide5ConclusionsSensor-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.
Slide6AcknowledgmentsWe 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 supportingour
research
activities
.