Parental subjective assessment of gait limitations: Comparison with objective gait variables

Relationship Between Postural Asymmetry, Balance, and Pain in Children With Spastic Cerebral Palsy

BACKGROUND

Primary symptoms of cerebral palsy (CP), such as spasm and weakness, can lead to secondary musculoskeletal problems. Exploring the interplay and impact of secondary symptoms is essential in CP management.

METHODS

A total of 56 children (32 males and 24 females) aged eight to 12 years in level I to III of Gross Motor Function Classification System (GMFCS) completed The Pediatric Balance Scale and Wong-Baker Faces Scale and the Posture and Postural Ability Scale. Relationships between the three groups were examined using the Kruskal-Wallis test, Tukey test, gamma coefficient, De Somers D, phi coefficient, Cramér V, and one-way analysis of variance.

RESULTS

There was a significant correlation between balance and postural asymmetry (P < 0.001), and no significant difference in balance was there between the severe and moderate asymmetry groups (P = 0.759) and between the mild asymmetry and no asymmetry groups (P = 0.374). Furthermore, there was a significant relationship between postural asymmetry and each of the variables of pain (P < 0.001) and gross motor function (P = 0.002). Although a meaningful correlation was identified between balance and gross motor function (P < 0.001), the relationship between postural asymmetry and balance in GMFCS levels was not found (P = 0.052, P = 0.052, P = 0.233). Conversely, no significant relationship was detected between pain and gross motor function (P = 0.072).

SIGNIFICANCE

Postural asymmetry negatively impacts balance and correlates with pain intensity. Addressing postural problems can contribute to pain management and improved balance.

Three-Dimensional Instrumented Gait Analysis for Children With Cerebral Palsy: An Evidence-Based Clinical Practice Guideline

BACKGROUND

Children with cerebral palsy (CP) who walk have complex gait patterns and deviations often requiring physical therapy (PT)/medical/surgical interventions. Walking in children with CP can be assessed with 3-dimensional instrumented gait analysis (3D-IGA) providing kinematics (joint angles), kinetics (joint moments/powers), and muscle activity.

PURPOSE

This clinical practice guideline provides PTs, physicians, and associated clinicians involved in the care of children with CP, with 7 action statements on when and how 3D-IGA can inform clinical assessments and potential interventions. It links the action statement grades with specific levels of evidence based on a critical appraisal of the literature.

CONCLUSIONS

This clinical practice guideline addresses 3D-IGA's utility to inform surgical and non-surgical interventions, to identify gait deviations among segments/joints and planes and to evaluate the effectiveness of interventions. Best practice statements provide guidance for clinicians about the preferred characteristics of 3D-IGA laboratories including instrumentation, staffing, and reporting practices.Video Abstract: Supplemental digital content available at http://links.lww.com/PPT/A524.

Why do children with unilateral cerebral palsy struggle with the single leg stance test? A kinematic and centre of pressure analysis

BACKGROUND

Children with unilateral cerebral palsy often report difficulty with balance in everyday life. The single leg stance test is a challenging task, requiring rapid sensory input and precise motor adjustment. The purpose of this study was to examine how children with cerebral palsy perform this test, compared to typically developing children.

METHODS

Three-dimensional kinematics of the trunk and lower limbs of 10 children with cerebral palsy and 15 children with typical development were captured as they performed a single leg stance test on their non-dominant leg on a force platform. Stance time, joint kinematics and centre of pressure sway were measured and examined.

FINDINGS

There was evidence of shorter single leg stance performance and increased mediolateral centre of pressure sway in children with cerebral palsy. Coronal plane movement at the subtalar joint and foot was reduced (-6.0° (-10.9, -1.2°)), while proximally there was greater trunk movement in the coronal (13.5° (2.4°, 24.5°)) and transverse planes (9.9° (0.7, 19°)) and pelvis movement in the transverse plane (6.1° (1.7, 10.5°). An association existed between stance time and mediolateral centre of pressure sway (p < 0.01), with an average reduction in stance time of 0.15 s for every 1 mm/s increase in mediolateral sway.

INTERPRETATION

Children with cerebral palsy showed poor mediolateral control of centre of pressure sway, leading to shorter stance time. They have a less effective coronal foot-tilt strategy and excessive trunk and pelvis movement. Interventions aimed at improving single leg stance performance should consider addressing both ankle / foot and trunk motor control.

How many observations in the reference dataset are required to compute a consistent Gait Deviation Index & Gait Profile Score?

BACKGROUND

The Gait Deviation Index (GDI) and the Gait Profile Score (GPS) are the most used scores to sum up gait deviations and are used as primary outcomes in many clinical studies. They are considered as equivalent scores. The computation of these scores is based on a reference dataset but often no description is provided. Among other characteristics, the number of observations needed and its possible influence on the computation of the scores remains unknown.

RESEARCH QUESTION

Define the number of observations needed in the reference dataset to compute consistent and reliable GDI and GPS.

METHODS

Fifty individuals with cerebral palsy (CP) were randomly selected from our laboratory database. Both scores were computed based on the reference dataset of Schwartz et al. (2008). A bootstrap analysis was performed, for every individual, to assess the effect of the number of observations on both scores. N number of observations were randomly selected, with replacement, from the reference dataset. This procedure was repeated 2000 times for every individual and every N and performed from N = 5 to N = 165 with an increment of 5. The 95 % of the absolute error distribution was considered for every individual and every N. The smallest detectable change (SDC) for both scores was considered as a threshold (GDI: 10.8; GPS:1.3°) to determine the minimum N required.

RESULTS AND SIGNIFICANCE

A minimum of 90 and 20 observations are required to compute consistent GDI and GPS, respectively. The number of observations has a higher impact on the GDI than the GPS, mainly because the GPS calculation does not rely on the standard deviation (SD). Furthermore, the GDI absolute error seems to be higher in individuals with greater gait deviations, i.e. lower GDI value. This effect was not observed on the GPS. In the case of a small reference dataset, the GPS should therefore be preferred.