Prediction of the effect of deep brain stimulation on gait freezing of Parkinson’s disease
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612.813.014:616.858 (1)
Physiology. Human and comparative physiology (725)
Neurology. Neuropathology. Nervous system (971)
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GAVRILIUC, Olga, PASCHEN, Steffen, ANDRUȘCA, Alexandru, SCHLENSTEDT, Christian, DEUSCHL, Gunther D.. Prediction of the effect of deep brain stimulation on gait freezing of Parkinson’s disease. In: European Journal of Neurology, 2020, nr. S1-1(27), p. 190. ISSN 1351-5101.
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European Journal of Neurology
Numărul S1-1(27) / 2020 / ISSN 1351-5101 /ISSNe 1468-1331

Prediction of the effect of deep brain stimulation on gait freezing of Parkinson’s disease

CZU: 612.813.014:616.858

Pag. 190-190

Gavriliuc Olga1, Paschen Steffen2, Andrușca Alexandru1, Schlenstedt Christian2, Deuschl Gunther D.2
 
1 ”Nicolae Testemițanu” State University of Medicine and Pharmacy,
2 Christian-Albrechts University of Kiel
 
Proiecte:
 
Disponibil în IBN: 17 noiembrie 2021


Rezumat

Background and aims: The response of freezing to deep brain stimulation of the subthalamic nucleus (STN-DBS) is controversial and obviously depending very much on factors which are poorly controlled. On the other hand, a clinical predictor for the individual patient is needed to counsel the patient regarding this symptom. Methods: A cohort of 124 patients undergoing STN-DBS has been evaluated based on the video-documented Levodopa test at baseline and the outcome in the worst and best condition 1 year postoperatively. We compared the freezing item of the Unified Parkinson’s disease rating scale (#14), the UPDRS total score, and a severity rating of 4 freezing subtypes with regard to its predictive value. Results: We found ‘freezing during the turning task’ to be the best predictor with a ROC-value of 0.857 compared to 0.603 for the UPDRS Item 14 and 0.583 for the total UPDRS III. An improvement of 1 or 2 grades of the turning item during the preoperative levodopa test predicts an improvement during the worst condition 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 a prospective study.