Demographic data and its relation to clinical improvement in parkinsonian patients subjected to rTMS

Document Type : Original Article

Authors

1 Neuropsychiatric department, faculty of medicine Minia university, Elminia, Egypt

2 Neurology department, faculty of medicine, Minia university

3 neurology department , faculty of medicine , minia university , minia city , egypt

4 Neuropsychaitry department , faculty of medicine , minia university

Abstract

Abstract:

Introduction: Parkinsonism is a group of disorders characterized by bradykinesia, tremors, rigidity, postural instability and other non-motor manifestations. It includes many types, the most common among them is Parkinson's disease (PD) that affects about 9 million people worldwide. Treatment of parkinsonism can be divided into: Medical treatment which is considered the first line and surgical treatment. Transcranial magnetic stimulation (TMS) is a non-invasive safe device that causes stimulation of targeted brain cortical area. It's used in many neuropsychiatric diseases including trails in parkinsonian disorder. Aim and Objectives: this study aims to investigate the relation between demographic data and clinical improvement after repetitive TMS. Patients and method: our study was held in Minia university hospital on 35 parkinsonian patients with specific inclusion criteria. They underwent 10 successive high frequency rTMS sessions and were assessed by Unified Parkinson's Disease Rating Scale (UPDRS). Results: Mean age of patients was 58.74 and male: female ratio: 24: 11. Four of them are diabetic, 15 are hypertensive, 7 complain of another disease. Four have positive family history. Duration of illness ranges from 1year: 16 years, half of them complain of rigidity as main feature beside bradykinesia, 30 of them were on levodopa medication. Our study showed that there was no correlation between improvement in UPDRS resulted from TMS and demographic data. Conclusion: Our study concluded that improvement appeared after TMS using UPDRS score wasn't related to any of demographic data mentioned above.

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