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Introduction: Although the Lumbar Tap Test (LTT) typically involves removing 30-50 ml of cerebrospinal fluid (CSF), the optimal amount for a valid test is unclear. This study investigates the relationship between the volume of CSF removed and the extent of gait improvement in idiopathic normal pressure hydrocephalus (iNPH).
Methods: Seventy-six iNPH patients with gait improvement after LTT were divided into two groups: high CSF volume (> 40 ml) and low CSF volume (< 40 ml). Spearman's r correlations and non-parametric t-tests were used to analyze the relationship between CSF volume removed and gait improvement.
Results: Gait improvement after LTT showed a moderate positive correlation (r = 0.372, p < 0.001) with CSF volume. Those in the high-volume group had significantly greater improvement (p < 0.01). Improvement was also correlated with baseline gait parameters: pre-LTT gait speed (r = -4.14, p = 0.006), steps to complete a walking test (r = 0.440, p < 0.001), and a 360° turn (r = 0.563, p < 0.001).
Conclusions: Larger CSF removal during LTT positively affects gait improvement in iNPH patients. Gait improvement is also greater in those with more severe initial gait impairments independently from the CSF volume extracted.
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http://dx.doi.org/10.1016/j.clineuro.2024.108565 | DOI Listing |
Cureus
August 2025
Department of Orthopedic Surgery, Matsuda Orthopedic Clinic, Kumagaya, JPN.
Background: The effect of supplementation of essential amino acids (EAAs) in knee osteoarthritis (OA) remains unclear. This study aimed to evaluate whether supplementation with EAA improves pain, patient-reported outcome measures, gait function, and quadriceps muscle volume in patients undergoing conservative treatment for knee OA.
Methods: A retrospective cohort study was conducted on outpatients undergoing physical therapy from April 2024 to March 2025.
Fluids Barriers CNS
September 2025
Department of Medical Sciences, Neurology, Uppsala University, Uppsala, Sweden.
Background: Idiopathic normal pressure hydrocephalus (iNPH) predominantly manifests with gait disturbances, yet clinical assessments are vulnerable to confirmation bias, particularly post-shunt surgery. Blinded video evaluations are a method to enhance objectivity in gait assessment, but their reliability has never been systematically investigated. The aim was to evaluate the inter-rater reliability of blinded gait assessments in iNPH patients and to investigate how these assessments correlate with the Hellström iNPH scale and patient-reported health status following shunt surgery.
View Article and Find Full Text PDFJ Neuroeng Rehabil
September 2025
Institute for Neuromodulation and Neurotechnology, University Hospital and University of Tübingen, 72076, Tübingen, Germany.
Innovative technology allows for personalization of stimulation frequency in dual-site deep brain stimulation (DBS), offering promise for challenging symptoms in advanced Parkinson's disease (PD), particularly freezing of gait (FoG). Early results suggest that combining standard subthalamic nucleus (STN) stimulation with substantia nigra pars reticulata (SNr) stimulation may improve FoG outcomes. However, patient response and the optimal SNr stimulation frequency vary.
View Article and Find Full Text PDFBMC Neurol
September 2025
Department of Neurology, University Hospital, RWTH Aachen University, Pauwelsstrasse 30, Aachen, North Rhine-Westphalia, Germany.
Background: Cerebellar pathologies in adults can have a wide range of hereditary, acquired and sporadic-degenerative causes. Due to the frequency in daily hospital, especially intensive care, settings, electrolyte imbalances are an important, yet rare differential diagnosis. The hypomagnesemia-induced cerebellar syndrome (HiCS) constitutes a relevant disease entity with clinical and morphological variability due to a potential progression of symptoms and a promising causal treatment.
View Article and Find Full Text PDFMed Eng Phys
October 2025
University of Missouri, Department of Physical Therapy, Columbia, MO, USA. Electronic address:
Measurable neuromotor control deficits during functional task performance could provide objective criteria to aid in concussion diagnosis. However, many tools which measure these constructs are unidimensional and not clinically feasible. The purpose of this study was to assess the classification accuracy of a machine learning model using features measured by a clinically feasible movement-based assessment system (Mizzou Point-of-care Assessment System (MPASS) between athletes with and without concussion.
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