Objective: Our aim was to analyze the ability of system to combine information on OFF periods, falls and dyskinesias of patients with PD.

Background: Levodopa Carbidopa Intestinal Gel (lCIG) is an effective treatment modality in the management of advanced Parkinson´s disease (PD). However, it is difficult to monitoring motor fluctuations in these patients. The STAT-ON holter is a non-invasive real- time monitoring system of motor symptoms in PD making possible a complete disease management.

Method: Patients with PD motor fluctuations, and dyskinesia who were able to walk unassisted in the OFF phase, were included in the study. Patients were asked to wear the kinematic sensor for 1 to 7 days at home, capable to detect PD motor symptoms through the execution of real-time embedded algorithms (OFF fluctuations, number of falls and time of dyskinesias). In the same time they completed a diary of their motor state once every hour.

Results: A total of Fifty one patients (25 women/ 26 men) were included in our study, with a mean age of 50.79 years and mean Hoehn and Yahr stage 3. STAT-ON holter system demonstrated 93.4% sensitivity and 89% specificity in detecting OFF state, 94% sensitivity and 87% specificity in dyskinesia and 94.2% sensitivity and 87.1% specificity in falls compared with patient-completed diaries (OFF:71.6% and 80.3%, dyskinesia: 78.2% and 81.4%,Falls: 78.2% and 81.4%). The overall classification accuracy was 92.20%. No device-related adverse events were reported

Conclusion: This system may be promising in accurate monitoring of motor fluctuations with high sensitivity and specificity in patients with advanced PD under invasive therapies.

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MDS Abstracts - https://www.mdsabstracts.org/abstract/validation-of-a-real-time-monitoring-system-to-detect-motor-symptoms-in-patients-with-parkinsons-disease-treated-with-levodopa-carbidopa-intestinal-gel/