Predicting the influence of deep brain stimulation on Parkinson’s disease gait freezing
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GAVRILIUC, Olga, PASCHEN, Steffen, ANDRUȘCA, Alexandru, SCHLENSTEDT, Christian, DEUSCHL, Gunther D.. Predicting the influence of deep brain stimulation on Parkinson’s disease gait freezing. In: Abstract book of European Academy of Neurology Congress: MDS, Ed. 6, 23-26 mai 2020, Viena. Viena: International Parkinson and Movement Disorder Society, 2020, p. 1005.
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Abstract book of European Academy of Neurology Congress 2020
Congresul "Abstract book of European Academy of Neurology Congress "
6, Viena, Austria, 23-26 mai 2020

Predicting the influence of deep brain stimulation on Parkinson’s disease gait freezing


Pag. 1005-1005

Gavriliuc Olga1, Paschen Steffen2, Andrușca Alexandru1, Schlenstedt Christian2, Deuschl Gunther D.2
 
1 Diomid Gherman Institute of Neurology and Neurosurgery,
2 ”Nicolae Testemițanu” State University of Medicine and Pharmacy
 
 
Disponibil în IBN: 5 decembrie 2023


Rezumat

Objective: Before the deep brain stimulation of the subthalamic nucleus (STN-DBS) an individual patientclinical predictor would be useful to inform the patient about freezing of the gait outcome. Background: The response of gait freezing to STN-DBS is controversial and obviously depending very muchon factors which are poorly controlled. Method: A total number of 124 patients undergoing STN-DBS were included in the study. With regard to itspredictive value we compared the freezing of gait severity based on item 14 of the Unifi ed Parkinson’sdisease rating scale, the UPDRS total motor score, and a freezing of gait scale rated during 4 freezing of gaitprovoking circumstances based on the video-documented levodopa test at baseline and the outcome in theworst and best condition 1 year postoperatively. Results: We found ‘freezing during the turning task’ to be the best predictor with a ROC-value of 0.857compared to 0.603 for the UPDRS Item 14 and 0.583 for the total UPDRS III. An improvement of 1 or 2grades of the turning item during the preoperative levodopa test predicts an improvement during the worstcondition postoperatively of 1 grade or more with an 80% probability. Conclusion: This freezing prediction test is simple and clinically useful. The test needs to be studied in aprospective study. To cite this abstract in AMA style: O. Gavriliuc, S. Paschen, A. Andrusca, C. Schlenstedt, G. Deuschl. Predicting the infl uence of deep brainstimulation on Parkinson’s disease gait freezing [abstract]. Mov Disord. 2020; 35 (suppl 1).https://www.mdsabstracts.org/abstract/predicting-the-infl uence-of-deep-brain-stimulation-on-parkinsons-disease-gait-freezing/. Accessed December 4, 2023. MDS Abstracts - https://www.mdsabstracts.org/abstract/predicting-the-infl uence-of-deep-brain-stimulation-on-parkinsons-disease-gait-freezing/