| Literature DB >> 26775149 |
Felix Yang1, Thu-Trang Hickman1, Megan Tinl2, Christine Iracheta2, Grace Chen2, Patricia Flynn2, Matthew E Shuman1, Tatyana A Johnson1, Rebecca R Rice1, Isaac M Rice1, Robert Wiemann1, Mark D Johnson3.
Abstract
Idiopathic normal pressure hydrocephalus (iNPH) is characterized by gait instability, urinary incontinence and cognitive dysfunction. These symptoms can be relieved by cerebrospinal fluid (CSF) drainage, but the time course and nature of the improvements are poorly characterized. Attempts to prospectively identify iNPH patients responsive to CSF drainage by evaluating presenting gait quality or via extended lumbar cerebrospinal fluid drainage (eLCD) trials are common, but the reliability of such approaches is unclear. Here we combine eLCD trials with computerized quantitative gait measurements to predict shunt responsiveness in patients undergoing evaluation for possible iNPH. In this prospective cohort study, 50 patients presenting with enlarged cerebral ventricles and gait, urinary, and/or cognitive difficulties were evaluated for iNPH using a computerized gait analysis system during a 3day trial of eLCD. Gait speed, stride length, cadence, and the Timed Up and Go test were quantified before and during eLCD. Qualitative assessments of incontinence and cognition were obtained throughout the eLCD trial. Patients who improved after eLCD underwent ventriculoperitoneal shunt placement, and symptoms were reassessed serially over the next 3 to 15months. There was no significant difference in presenting gait characteristics between patients who improved after drainage and those who did not. Gait improvement was not observed until 2 or more days of continuous drainage in most cases. Symptoms improved after eLCD in 60% of patients, and all patients who improved after eLCD also improved after shunt placement. The degree of improvement after eLCD correlated closely with that observed after shunt placement.Entities:
Keywords: CSF; Gait; Normal pressure hydrocephalus; Ventriculoperitoneal shunt
Mesh:
Year: 2016 PMID: 26775149 DOI: 10.1016/j.jocn.2015.11.013
Source DB: PubMed Journal: J Clin Neurosci ISSN: 0967-5868 Impact factor: 1.961