Clinical Trials Logo

Clinical Trial Summary

Until now, for children with cerebral palsy (CP) , diagnostic and some prognostic predictive machine learning studies have been conducted, but prognostic studies targeted specific milestone according to specific gross motor function measure (GMFCS) levels; such as walking and running predictors at GMFCS II and III and GMFCS II respectively, and not covered specific types of cerebral palsy. Predictions studies were limited by the lack of specificity of child and family characteristics was not taken into the account prospectively. It is therefore the utmost need to support clinical decision making by predicting the recovery in spastic cerebral palsy. Recovery predictive factors can play an important role for this purpose. Thus, this study aims to predict the recovery in spastic cerebral palsy according to all GMFCS level by means of a prediction index/model.


Clinical Trial Description

Spasticity is often considered as the main cause of functional limitation in cerebral palsy (CP) children. The main feature of cerebral palsy is the impaired development of gross motor functions in children. Gross motor functions are considered as an indicator of the overall prognosis of cerebral palsy as these are closely associated with other impairments in the cerebral palsy child such as auditory, cognitive or visual impairments. The gross motor function measure (GMFM) tool is most widely used to assess motor function, severity and treatment response of children with cerebral palsy. The five levels of GMFCS have been widely employed in cerebral palsy children less than 12 years of age with the focus on sitting and walking abilities of the child. Literature confirmed the importance of addressing the gross and fine motor skills in cerebral palsy children. Childhood factors that predict the participation of young adults with cerebral palsy in domestic life include; intellectual disability, low manual ability, limited motor capacity and epilepsy. Moreover, CP child primary and secondary impairments, co-morbidities, their adaptive behaviour, family, rehabilitation services all are determinants of changes in the gross motor ability of the child and their participation in daily routine activities. Thus, all these determinants need to be considered while planning the intervention for a cerebral palsy child and at the time outcome evaluation as well. Good prognostic predictors for ambulation in cerebral palsy children were identified through meta-analysis of observational studies which includes; independent sitting at 2 years of age, epilepsy, absence of intellectual disability and visual impairment. Machine learning (ML) approaches have been increasingly used in cerebral palsy research. Jing Zhang et al identified GMFCS and intellectual capacity as associated factors of self-care activity development, it was also mentioned that GMFCS has a role in mobility activities development. A predictive machine learning model was developed to highlight the factors associated with intellectual disability in the cerebral palsy population of the teenager, with the sensitivity, specificity and average accuracy of 78%. The result of this model confirmed the significant association of gross motor function, poor manual abilities and epilepsy with profound intellectual disability. ;


Study Design


Related Conditions & MeSH terms


NCT number NCT04925102
Study type Observational [Patient Registry]
Source Riphah International University
Contact Imran Amjad, PhD
Phone (+92)3324390125
Email imran.amjad@riphah.edu.pk
Status Recruiting
Phase
Start date June 14, 2021
Completion date April 30, 2022

See also
  Status Clinical Trial Phase
Recruiting NCT05571033 - Operant Conditioning of the Soleus Stretch Reflex in Adults With Cerebral Palsy N/A
Completed NCT00011024 - Prospective Studies of the Use of Self Hypnosis, Acupuncture and Osteopathic Manipulation on Muscle Tension in Children With Spastic Cerebral Palsy Phase 2
Recruiting NCT05810779 - Dynamic Surface Exercise and Trunk Targeted Training in Children With Spastic Cerebral Palsy N/A
Completed NCT01049581 - Effects of Pediatric Aquatic Therapy in Children With Spastic Cerebral Palsy N/A
Completed NCT04634136 - Full-spectrum Medical Cannabis for Treatment of Spasticity in Patients With Severe Forms of Cerebral Palsy N/A
Recruiting NCT06070233 - Radiosurgery Treatment for Spasticity Associated With Stroke, SCI & Cerebral Palsy N/A
Completed NCT01815814 - Therapeutic Potential of Myofascial Structural Integration in Children With Cerebral Palsy N/A
Recruiting NCT05113433 - Effects of Different Time Period of Standing Frame on Spasticity and Gait in Children With Spastic Cerebral Palsy. N/A
Recruiting NCT03676439 - Lateral Cord Magnetic Stimulation For Refractory Spastic Cerebral Palsy Phase 2/Phase 3
Completed NCT03708757 - Effect of Post Isometric Relaxation Technique & Eccentric Muscle Contraction on Hamstring Spasticity in CP N/A
Not yet recruiting NCT03529682 - Circuit Training in Children With Cerebral Palsy N/A
Not yet recruiting NCT06407856 - Dual Task Training in Spastic Cerebral Palsy N/A
Not yet recruiting NCT06407869 - Effects of Functional Progressive Strength Training in Children With Spastic Cerebral Palsy N/A
Not yet recruiting NCT06407921 - Whole Body Vibration and BOSU Ball in Spastic Cerebral Palsy N/A
Completed NCT04078321 - Evaluation of Multifocal Transcutaneous Electrical Stimulation for Self-treatment Among Children With Cerebral Palsy N/A
Active, not recruiting NCT06330311 - Effectiveness of Whole-Body Vibration N/A
Terminated NCT00955877 - Extended-release Epidural Morphine for Acute Post-operative Analgesia Following Selective Dorsal Rhizotomy in Children N/A
Completed NCT02359799 - Robotic Rehabilitation of Cerebral Palsy N/A
Not yet recruiting NCT05340439 - INcobotulinumtoxina in ChIldren Upper and Lower Limb sPasticITy (INCIPIT) Phase 2
Completed NCT01147653 - A Randomized Study of Autologous Umbilical Cord Blood Reinfusion in Children With Cerebral Palsy Phase 2