Evidence map›Paper›PMID 41673343›Full record

ArticleEuropean journal of pediatrics2026

Gait deviations in adolescent patients with Wilson disease and their possible connections with biochemical markers: preliminary results.

Małgorzata Syczewska, Wojciech Jańczyk, Ewa Szczerbik, Małgorzata Kalinowska, Piotr Socha

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Article in European journal of pediatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Małgorzata Syczewska *Dept. Rehabilitation, The Children's Memorial Health Institute, Warsaw, Poland. m.syczewska@ipczd.pl.ORCID http://orcid.org/0000-0002-8872-6476
Wojciech Jańczyk *Dept. Gastroenterology, Hepatology, Nutritional Disorders and Pediatrics, The Children's Memorial Health Institute, Warsaw, Poland.ORCID http://orcid.org/0000-0002-6430-0788
Ewa SzczerbikDept. Rehabilitation, The Children's Memorial Health Institute, Warsaw, Poland.ORCID http://orcid.org/0000-0003-1605-679X
Małgorzata KalinowskaDept. Rehabilitation, The Children's Memorial Health Institute, Warsaw, Poland.ORCID http://orcid.org/0000-0001-9992-5705
Piotr SochaDept. Gastroenterology, Hepatology, Nutritional Disorders and Pediatrics, The Children's Memorial Health Institute, Warsaw, Poland.ORCID http://orcid.org/0000-0002-1621-464X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study aims to evaluate the gait pattern of Wilson Disease adolescents, receiving pharmacological treatment, without clinical signs of gait problems, with instrumented gait analysis. The gait changes could be the first signs of neurological manifestations, providing information about which patients are at greater risk of developing neurological problems. Another aim of the paper was to find possible relationships between gait disturbances and biochemical markers. Twenty-seven patients underwent gait analysis with the VICON system. Captured data were processed and averaged. From them, the Gait Variable Scores and Gait Profile Score were calculated to assess the deviation from normal gait. The following biochemical parameters were included in the analysis: ALT, AST, GGTP, bilirubin, INR, and an abdominal ultrasound describing liver and spleen size. Additionally, a fibroscan measurement was performed to obtain information about liver stiffness (E value) and steatosis (CAP value). The neurological assessment was based on a review of school performance, tremor, walking, and writing problems. In all patients, the scores assessing global gait pattern and knee kinematics were increased, and in the majority of them, also the score of the ankle joint. Cluster and discriminant analysis showed that biochemical indicators of liver injury (ALT, E, and CAP value) were strong predictors of walking disturbances.

conclusionThe main finding of this study indicates that clinical assessment could detect abnormalities only when they are in a relatively advanced stage. It is not sensitive to the early signs of neurological problems, which could be picked up by the instrumented gait analysis. WHAT IS KNOWN: • Wilson disease is a rare genetic disorder affecting copper metabolism. • Liver problems are its first clinical manifestations. • It is accepted that neurological manifestations in Wilson disease patients have onset between 20 and 30 years of age. WHAT IS NEW: • First subtle gait pattern changes are present in adolescents, despite their pharmacological treatment. • These changes can be detected by instrumented gait analysis. • The deviations mainly concern the knee and ankle joints. • The major indicators of liver injury (ALT, E, and CAP value) were strong predictors of walking disturbances.

Indexed as

GaitGait Disorders, NeurologicHepatolenticular DegenerationAdolescentBiomarkersChildFemaleGait AnalysisHumansLiverMaleBiomarkersAdolescentsGait deviationsInstrumented gait analysisWilson disease

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.