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Objective: To analyze the comorbidities in patients with cerebral palsy (CP) from two perspectives as neurologic subtype and gross motor functions, and find their correlations.
Methods: Children with cerebral palsy treated in the rehabilitation center from January 2007 to June 2009 received the following examinations: intelligence capacity test, ophthalmologic consultation, language-speech test, brainstem auditory evoked potential and electroencephalogram. They were stratified according to both neurologic subtype and gross motor functions to detect the occurrence of comorbidities.
Results: Of all the 354 cases, 166 (46.89%) had mental retardation, 15 (4.24%) auditory limitations, 138 (38.98%) visual disorder, 216 (61.02%) language-speech disorder and 82 (23.16%) epilepsy. The frequency of individual comorbidities were distributed disproportionately between the different neurologic subtypes. Correlation analysis showed that there was a significant correlation between the spastic diplegia and the visual disorder (correlation coefficient = 0.26), between spastic hemiplegia and epilepsy (correlation coefficient = 0.17), between spastic quadriplegia and epilepsy and mental retardation (the correlation coefficient was 0.38 and 0.11, respectively) and between both dyskinetic and mixed children and language-speech disorder (the correlation coefficient was 0.24 and 0.27, respectively). The frequency of individual comorbidities was distributed disproportionately between the different neurologic subtypes and between the different GMFCS levels (P < 0.05), except for the frequency of visual disorders (chi(2) = 1.90, P > 0.05); and with the increase of the GMFCS levels, the burden of the comorbidities were more heavy and the incidence of the comorbidities was higher. Multi-comorbidities were relatively infrequently encountered in those with spastic hemiplegic or spastic diplegic children or patients whose GMFCS levels were I-III, while these entities occurred at a frequent level for those with spastic quadriplegic, dyskinetic, or mixed or children whose GMFCS levels were IV and V, and the differences were significant (P < 0.05). The mean GMFCS levels of children with spastic quadriplegic, dyskinetic or mixed CP were higher than level III, most of them had no ability of ambulation;while the mean GMFCS levels of spastic hemiplegic or spastic diplegic children were below level III, most of them could walk independently.
Conclusions: There are correlations between the occurrence of the comorbidities such as mental retardation, auditory or visual impairments, language-speech disorders, epilepsy and the cerebral palsy subtype and the gross motor function levels. Clinicians should have a full recognition of these comorbidities, and we should have a cooperation between the different subjects to have an overall evaluation and rehabilitation and to improve the prognosis.
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Int J Rehabil Res
September 2025
Visual Impairments, Faculty of Education and Rehabilitation Sciences, University of Zagreb, Zagreb, Croatia.
The Visual Function Classification System (VFCS) provides a standardised framework for grading visual functioning in children with cerebral palsy (CP). This study evaluated the reliability and construct validity of the Croatian VFCS, and its ability to distinguish visual functioning across CP subtypes and functional classifications. Ninety-five children with CP (mean age: 11.
View Article and Find Full Text PDFAm J Phys Med Rehabil
September 2025
Department of Neurosurgery, IRCCS Istituto Giannina Gaslini, Genoa, Italy.
Objective: This study aims to compare the long-term results of cITB rehabilitation against those of conventional treatment for intractable spasticity in children with cerebral palsy using the International Classification of Functioning, Disability and Health of Children and Youth (ICF-CY).
Design: 5-year single-center retrospective cohort study.
Results: The ICF-CY data from 24 patients with CP of GMFCS levels IV-V (aged between 8 and 18 years) were retrospectively analyzed for 5 years.
Gait Posture
August 2025
Motion Analysis Laboratory, Bone and Joint Research Center, Chang Gung Memorial Hospital - Linkou, Taoyuan, Taiwan; Division of Pediatric Orthopedics, Department of Orthopedic Surgery, Chang Gung Memorial Hospital - Linkou, Taoyuan, Taiwan. Electronic address:
Background: Cerebral palsy (CP) often presents with lower limb torsional deformities that affect gait and mobility. Clinical assessments typically rely on static physical examinations, but discrepancies arise when compared with dynamic gait kinematics. Understanding the relationship between clinical assessments, including imaging, and gait analysis is essential for accurate diagnosis and treatment planning.
View Article and Find Full Text PDFJ Paediatr Child Health
September 2025
New Zealand Cerebral Palsy Register Te Rēhita a Hōkai Nukurangi Aotearoa, Health New Zealand/Te Whatu Ora, Starship Hospital, Auckland, New Zealand.
Background: In Aotearoa New Zealand (AoNZ), the cerebral palsy (CP) register (NZCPR) has collected national data since 2015. The dataset includes ethnicity and region of domicile; clinical characteristics; plus data on CP distribution and severity including GMFCS. Neonatal encephalopathy (NE) and hypoxic ischaemic encephalopathy (HIE) are potential causes of CP, so NZCPR data may assist prognostic counselling of whānau (family).
View Article and Find Full Text PDFJ Pediatr Orthop
September 2025
Children's Hospital Colorado, Aurora, CO.
Background: Intraoperative neurophysiological monitoring (IONM) is essential for detecting potential neurological injury during scoliosis surgery, but obtaining recordable baseline signals can be challenging in neuromuscular scoliosis (NMS) patients. Absent baseline IONM signals, characterized by unattainable initial IONM responses despite technical and anesthetic optimization, present significant challenges to intraoperative neurological assessment and surgical risk stratification. This study aims to identify predictive factors for absent baseline IONM signals in pediatric NMS patients and establish a clinically applicable risk prediction model.
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