INPH is a chronic, progressive disease characterised by enlarged ventricles in the absence of elevated intracranial pressure. Patients often present with the Hakim triad comprising gait disturbance, dementia and urinary incontinence. Treatment consists of ventriculoperitoneal (VP) shunting reducing the cerebrospinal fluid (CSF) volume in the central nervous system (CNS); a generally safe and well tolerated procedure nevertheless invasive in nature and associated with surgical risk. The currently used diagnostic algorithms to predict surgery outcome by testing patients before and after a diagnostic spinal tap temporarily reducing the CSF volume in the CNS are of wide variability and limited validity. Developing measures to accurately diagnose and select patients for intervention is thus of great importance. The objective of this study is to define and validate a diagnostic algorithm for the selection of patients with symptoms compatible with iNPH for shunt surgery.
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Gait Analysis on treadmill by foot print plate and overground walking by time keeping
Timeframe: 3 months