1
|
Melanda AG, Davids JR, Pauleto AC, Pelegrinelli ARM, Ferreira AEK, Knaut LA, Lucareli PRG, Smaili SM. Reliability and validity of the gait classification system in children with cerebral palsy (GCS-CP). Gait Posture 2022; 98:355-361. [PMID: 36308864 DOI: 10.1016/j.gaitpost.2022.09.083] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 09/12/2022] [Accepted: 09/21/2022] [Indexed: 02/02/2023]
Abstract
BACKGROUND Gait classification systems (GCS) may enable clinicians to differentiate gait patterns into clinically significant categories that assist in clinical decision-making and assessment of outcomes. Davids and Bagley in 2014 [1] described a GCS for children with cerebral palsy (GCS-CP). The purpose of our study was to use the GCS-CP for the first time on a sample of patients with CP and to evaluate the reliability and utility of the classification system. METHODS The gait of 131 children with CP was retrospectively reviewed and classified according to Davids and Bagley's classification using two-dimensional (2D) video and three-dimensional (3D) lower limb kinematics and kinetics. Gross Motor Function Classification System (GMFCS) levels were determined, and the Gait Profile Scores (GPS) calculated to characterize the sample concerning gait classification. The comparison between the groups was performed using the Kruskal-Wallis test with respect to the non-normal distribution of the data. The intrarater and interrater reliability was determined using the Kappa index (k) statistics with 95% CI. RESULTS All GCS-CP groups were represented within the evaluated sample. Of the 131 cases evaluated, 127 (96.95%) were able to be classified with respect to sagittal plane stance phase gait deviations. All patients in the sample were able to be classified with respect to sagittal plane swing phase and transverse plane gait deviations. The interrater reliability was 0.596 and 0.485 for the first and second levels of the classification, respectively, according to the Fleiss's Kappa statistics. Intrarater reliability was 0.776 and 0.714 for the raters one and two, respectively, according to the Cohen's Kappa statistics. SIGNIFICANCE The GCS-CP exhibited clinical utility, successfully classifying almost all subjects with CP in two planes, based upon kinematic and kinetic data. The classification is valid and has moderate interrater and moderate to substantial intrarater reliability.
Collapse
Affiliation(s)
- Alessandro G Melanda
- Department of Surgery, State University of Londrina, Paraná, Brazil; Master's and Doctoral degree program in Rehabilitation Sciences - State University of Londrina, Paraná, Brazil; Gait Analysis Laboratory, Ana Carolina Moura Xavier Hospital Rehabilitation Center, Curitiba, Brazil.
| | - Jon R Davids
- Shriners Hospitals for Children, Northern California, 2425 Stockton Blvd, Sacramento, CA 95817, USA.
| | - Ana Carolina Pauleto
- Gait Analysis Laboratory, Ana Carolina Moura Xavier Hospital Rehabilitation Center, Curitiba, Brazil.
| | | | | | - Luiz Alberto Knaut
- Gait Analysis Laboratory, Ana Carolina Moura Xavier Hospital Rehabilitation Center, Curitiba, Brazil.
| | - Paulo Roberto G Lucareli
- Department of Rehabilitation Sciences, Human Motion Analysis Laboratory, University Nove de Julho, São Paulo, Brazil.
| | - Suhaila Mahmoud Smaili
- Master's and Doctoral degree program in Rehabilitation Sciences - State University of Londrina, Paraná, Brazil; Department of Physiotherapy, Neurofunctional Physical Therapy Research Group (GPFIN) - State University of Londrina, Paraná State, Brazil.
| |
Collapse
|
2
|
Button K, Felemban M, Davies JL, Nicholas K, Parry-Williams J, Muaidi Q, Al-Amri M. A standardised template for reporting lower limb kinematic waveform movement compensations from a sensor-based portable clinical movement analysis toolkit. IPEM-TRANSLATION 2022; 1:None. [PMID: 35685912 PMCID: PMC9113669 DOI: 10.1016/j.ipemt.2021.100001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Revised: 10/17/2021] [Accepted: 11/15/2021] [Indexed: 11/30/2022]
Abstract
Standardised terminology for the interpretation of movement analysis waveforms is provided, to describe the amount, nature and timing of a compensation strategy. A stand-alone application have been created for users to generate a movement analysis report for lower limb joint kinematics. A digital, interactive version of the movement analysis report is now being created in the next iteration of the sensor based portable movement analysis toolkit.
Objectives To develop a standardised template to support physiotherapist reporting of lower limb kinematic waveform data Design Within and between user agreement identification of movement compensation strategies. Setting University Health Board Physiotherapy Department Participants Fourteen individuals with anterior cruciate ligament reconstruction performed overground gait, double-leg squat, and stair ascent wearing body-worn sensors. Six users viewed 252 kinematic waveforms of hip, knee and ankle joint angles in the sagittal and frontal planes. Main outcome measures Between and within-user observed agreement and themes from movement analysis reports Results Between-user observed agreement for presence of a movement compensation was 0.6–0.9 for the sagittal plane and 0.75–1.0 for the frontal place. Within-user observed agreement was 0.57–1.00 for the sagittal plane and 0.71–1.00 for the frontal plane. Three themes and seven categories were identified from the waveform interpretations: Amount (qualitative and quantitative description), timing (phase, discrete time point, cycle), and nature (peak, range of motion, timing) of the compensation. Conclusion There was good agreement between users at identifying the presence of movement compensation from the kinematic waveforms, but there was variation in how movement compensations were described. An interactive report, a standardised template for interpretation of kinematic waveforms, and training to support the clinical application of a movement analysis toolkit are proposed.
Collapse
|
3
|
Papageorgiou E, Nieuwenhuys A, Vandekerckhove I, Van Campenhout A, Ortibus E, Desloovere K. Systematic review on gait classifications in children with cerebral palsy: An update. Gait Posture 2019; 69:209-223. [PMID: 30851621 DOI: 10.1016/j.gaitpost.2019.01.038] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2018] [Revised: 11/15/2018] [Accepted: 01/28/2019] [Indexed: 02/02/2023]
Abstract
BACKGROUND Gait classification systems (GCSs) aim to aid clinicians and researchers in categorizing the gait of pathological populations, with the intent to improve the communication between them, to support treatment planning and enable the evaluation of patients over time. Throughout the years, various GCSs have been defined for children with cerebral palsy (CP), which were first summarized in a systematic review published in 2007. RESEARCH QUESTION The current systematic review aimed to: a) identify GCSs that have been more recently developed, b) appraise their methodological quality and c) specify the most commonly used multiple joint gait patterns for children with CP reported in literature. METHODS Four databases (Medline, EMBASE, CINAHL, Web of Science) were searched until July 2017. Several forms of validity and the reliability of these studies were assessed according to the principles of the consensus-based standards for the selection of health measurement instruments checklist or criteria defined in the original review. All published GCSs were also scrutinized in order to identify multiple joint patterns that have reached a predefined level of consensus. RESULTS Thirty-six studies were considered in this review, 15 of them being GCSs that were not included in the original review. The validity, reliability and clinical applicability of all GCSs was reported, including 3 studies from the original review. Six multiple joint patterns for children with CP reached a consensus in literature. CONCLUSION Since the previous review, obvious progress has been made in the field of GCSs for CP, resulting in improved methodological quality of the majority of published GCSs. This encouraged the applicability of GCSs in clinical or research settings. The six reliable, valid and commonly used multiple joint patterns, emerging from this systematic review, may aid clinical and research applications and create a common language among healthcare providers.
Collapse
Affiliation(s)
- Eirini Papageorgiou
- KU Leuven, Department of Rehabilitation Sciences, Research Group for Neurorehabilitation (eNRGy), Leuven, Belgium.
| | - Angela Nieuwenhuys
- KU Leuven, Department of Rehabilitation Sciences, Research Group for Neurorehabilitation (eNRGy), Leuven, Belgium
| | - Ines Vandekerckhove
- KU Leuven, Department of Rehabilitation Sciences, Research Group for Neurorehabilitation (eNRGy), Leuven, Belgium
| | - Anja Van Campenhout
- KU Leuven, Department of Development and Regeneration, Organ Systems, Leuven, Belgium; University Hospitals Leuven, Department of Orthopedics, Leuven, Belgium
| | - Els Ortibus
- KU Leuven, Department of Development and Regeneration, Organ Systems, Leuven, Belgium
| | - Kaat Desloovere
- KU Leuven, Department of Rehabilitation Sciences, Research Group for Neurorehabilitation (eNRGy), Leuven, Belgium; University Hospitals Leuven, Department of Orthopedics, Clinical Motion Analysis Laboratory (CERM), Pellenberg, Belgium
| |
Collapse
|
4
|
Boyd RN, Davies PSW, Ziviani J, Trost S, Barber L, Ware R, Rose S, Whittingham K, Sakzewski L, Bell K, Carty C, Obst S, Benfer K, Reedman S, Edwards P, Kentish M, Copeland L, Weir K, Davenport C, Brooks D, Coulthard A, Pelekanos R, Guzzetta A, Fiori S, Wynter M, Finn C, Burgess A, Morris K, Walsh J, Lloyd O, Whitty JA, Scuffham PA. PREDICT-CP: study protocol of implementation of comprehensive surveillance to predict outcomes for school-aged children with cerebral palsy. BMJ Open 2017; 7:e014950. [PMID: 28706091 PMCID: PMC5734266 DOI: 10.1136/bmjopen-2016-014950] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
OBJECTIVES Cerebral palsy (CP) remains the world's most common childhood physical disability with total annual costs of care and lost well-being of $A3.87b. The PREDICT-CP (NHMRC 1077257 Partnership Project: Comprehensive surveillance to PREDICT outcomes for school age children with CP) study will investigate the influence of brain structure, body composition, dietary intake, oropharyngeal function, habitual physical activity, musculoskeletal development (hip status, bone health) and muscle performance on motor attainment, cognition, executive function, communication, participation, quality of life and related health resource use costs. The PREDICT-CP cohort provides further follow-up at 8-12 years of two overlapping preschool-age cohorts examined from 1.5 to 5 years (NHMRC 465128 motor and brain development; NHMRC 569605 growth, nutrition and physical activity). METHODS AND ANALYSES This population-based cohort study undertakes state-wide surveillance of 245 children with CP born in Queensland (birth years 2006-2009). Children will be classified for Gross Motor Function Classification System; Manual Ability Classification System, Communication Function Classification System and Eating and Drinking Ability Classification System. Outcomes include gross motor function, musculoskeletal development (hip displacement, spasticity, muscle contracture), upper limb function, communication difficulties, oropharyngeal dysphagia, dietary intake and body composition, participation, parent-reported and child-reported quality of life and medical and allied health resource use. These detailed phenotypical data will be compared with brain macrostructure and microstructure using 3 Tesla MRI (3T MRI). Relationships between brain lesion severity and outcomes will be analysed using multilevel mixed-effects models. ETHICS AND DISSEMINATION The PREDICT-CP protocol is a prospectively registered and ethically accepted study protocol. The study combines data at 1.5-5 then 8-12 years of direct clinical assessment to enable prediction of outcomes and healthcare needs essential for tailoring interventions (eg, rehabilitation, orthopaedic surgery and nutritional supplements) and the projected healthcare utilisation. TRIAL REGISTRATION NUMBER ACTRN: 12616001488493.
Collapse
Affiliation(s)
- Roslyn N Boyd
- Queensland Cerebral Palsy and Rehabilitation Research Centre (QCPRRC), The University of Queensland, Brisbane, Queensland, Australia
- Queensland Paediatric Rehabilitation Service, Lady Cilento Children's Hospital, Brisbane, Queensland, Australia
| | - Peter SW Davies
- Children's Nutrition Research Centre, The University of Queensland, Brisbane, Queensland, Australia
| | - Jenny Ziviani
- Queensland Paediatric Rehabilitation Service, Lady Cilento Children's Hospital, Brisbane, Queensland, Australia
- School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, Queensland, Australia
| | - Stewart Trost
- Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Lee Barber
- Queensland Cerebral Palsy and Rehabilitation Research Centre (QCPRRC), The University of Queensland, Brisbane, Queensland, Australia
| | - Robert Ware
- Menzies Health Institute Queensland, Griffith University, Gold Coast, Queensland, Australia
| | - Stephen Rose
- CSIRO Australian e-Health Research Centre, Canberra, Australia
- Medical Imaging, Diagnostic and Interventional Neuroradiology, Royal Brisbane and Women’s Hospital, Brisbane, Queensland, Australia
| | - Koa Whittingham
- Queensland Cerebral Palsy and Rehabilitation Research Centre (QCPRRC), The University of Queensland, Brisbane, Queensland, Australia
| | - Leanne Sakzewski
- Queensland Cerebral Palsy and Rehabilitation Research Centre (QCPRRC), The University of Queensland, Brisbane, Queensland, Australia
- Queensland Paediatric Rehabilitation Service, Lady Cilento Children's Hospital, Brisbane, Queensland, Australia
| | - Kristie Bell
- Queensland Cerebral Palsy and Rehabilitation Research Centre (QCPRRC), The University of Queensland, Brisbane, Queensland, Australia
- Queensland Paediatric Rehabilitation Service, Lady Cilento Children's Hospital, Brisbane, Queensland, Australia
| | - Christopher Carty
- Queensland Children's Motion Analysis Service, Lady Cilento Children's Hospital, Brisbane, Queensland, Australia
| | - Steven Obst
- Queensland Cerebral Palsy and Rehabilitation Research Centre (QCPRRC), The University of Queensland, Brisbane, Queensland, Australia
| | - Katherine Benfer
- Queensland Cerebral Palsy and Rehabilitation Research Centre (QCPRRC), The University of Queensland, Brisbane, Queensland, Australia
| | - Sarah Reedman
- Queensland Cerebral Palsy and Rehabilitation Research Centre (QCPRRC), The University of Queensland, Brisbane, Queensland, Australia
| | - Priya Edwards
- Queensland Paediatric Rehabilitation Service, Lady Cilento Children's Hospital, Brisbane, Queensland, Australia
| | - Megan Kentish
- Queensland Paediatric Rehabilitation Service, Lady Cilento Children's Hospital, Brisbane, Queensland, Australia
| | - Lisa Copeland
- Queensland Paediatric Rehabilitation Service, Lady Cilento Children's Hospital, Brisbane, Queensland, Australia
| | - Kelly Weir
- Menzies Health Institute Queensland, Griffith University, Gold Coast, Queensland, Australia
- Clinical Governance, Education and Research, Gold Coast Health, Brisbane, Queensland, Australia
| | - Camilla Davenport
- Queensland Cerebral Palsy and Rehabilitation Research Centre (QCPRRC), The University of Queensland, Brisbane, Queensland, Australia
- Children's Nutrition Research Centre, The University of Queensland, Brisbane, Queensland, Australia
| | - Denise Brooks
- Children's Nutrition Research Centre, The University of Queensland, Brisbane, Queensland, Australia
| | - Alan Coulthard
- Medical Imaging, Diagnostic and Interventional Neuroradiology, Royal Brisbane and Women’s Hospital, Brisbane, Queensland, Australia
| | - Rebecca Pelekanos
- Centre for Clinical Research, The University of Queensland, Brisbane, Queensland, Australia
| | - Andrea Guzzetta
- Department of Developmental Neuroscience, Instituto Di Ricovero E Cura A Carattere Scientifico (IRCCS), Pisa, Italy
| | - Simona Fiori
- Department of Developmental Neuroscience, Instituto Di Ricovero E Cura A Carattere Scientifico (IRCCS), Pisa, Italy
| | - Meredith Wynter
- Queensland Paediatric Rehabilitation Service, Lady Cilento Children's Hospital, Brisbane, Queensland, Australia
| | - Christine Finn
- Queensland Cerebral Palsy and Rehabilitation Research Centre (QCPRRC), The University of Queensland, Brisbane, Queensland, Australia
| | - Andrea Burgess
- Queensland Cerebral Palsy and Rehabilitation Research Centre (QCPRRC), The University of Queensland, Brisbane, Queensland, Australia
| | - Kym Morris
- Queensland Cerebral Palsy and Rehabilitation Research Centre (QCPRRC), The University of Queensland, Brisbane, Queensland, Australia
| | - John Walsh
- Medical Imaging, Diagnostic and Interventional Neuroradiology, Royal Brisbane and Women’s Hospital, Brisbane, Queensland, Australia
- Queensland Children's Motion Analysis Service, Lady Cilento Children's Hospital, Brisbane, Queensland, Australia
- Department of Paediatric Orthopaedics, The Mater Health Services, Brisbane, Queensland, Australia
| | - Owen Lloyd
- Queensland Paediatric Rehabilitation Service, Lady Cilento Children's Hospital, Brisbane, Queensland, Australia
| | - Jennifer A Whitty
- Norwich Medical School, University of East Anglia, Norwich, UK
- School of Pharmacy, The University of Queensland, Brisbane, Queensland, Australia
| | - Paul A Scuffham
- Menzies Health Institute Queensland, Griffith University, Gold Coast, Queensland, Australia
| |
Collapse
|
5
|
Nieuwenhuys A, Papageorgiou E, Molenaers G, Monari D, de Laet T, Desloovere K. Inter- and intrarater clinician agreement on joint motion patterns during gait in children with cerebral palsy. Dev Med Child Neurol 2017; 59:750-755. [PMID: 28224608 DOI: 10.1111/dmcn.13404] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/05/2017] [Indexed: 11/28/2022]
Abstract
AIM This study aimed to quantify the inter- and intrarater clinician agreement on joint motion patterns in children with spastic cerebral palsy (CP), which were recently specified by a Delphi consensus study. It also examined whether experience with three-dimensional gait analysis (3DGA) is a prerequisite for using the patterns. METHOD The experimental group consisted of 82 patients with CP (57 males, 25 females; uni-/bilateral CP [n=27/55]; Gross Motor Function Classification System levels I to III; mean age 9y 5mo [range 4y-18y]). Thirty-two clinicians were split into 'experienced' and 'inexperienced' rater groups. Each rater was asked to classify 3DGA reports of 27 or 28 patients twice. Inter- and intrarater agreement on 49 joint motion patterns was estimated using percentage of agreement and kappa statistics. RESULTS Twenty-eight raters completed both classification rounds. Intrarater agreement was 'substantial' to 'almost perfect' for all joints (0.64<ĸ<0.91). Interrater agreement reached similar results (0.63<ĸ<0.86), except for the knee patterns during stance (ĸ=0.49, 'moderate agreement'). Experienced raters performed significantly better on patterns of the knee during stance and ankle during swing. INTERPRETATION Apart from some specific knee patterns during stance and ankle patterns during swing, the results suggested that clinicians could use predefined joint motion patterns in CP with good confidence, even in case of limited experience with 3DGA.
Collapse
Affiliation(s)
- Angela Nieuwenhuys
- Neuromotor Research Group, Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium
| | - Eirini Papageorgiou
- Neuromotor Research Group, Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium
| | - Guy Molenaers
- Department of Development and Regeneration, KU Leuven, Leuven, Belgium.,Department of Orthopedics, University Hospitals Leuven, Leuven, Belgium
| | - Davide Monari
- Faculty of Engineering Science, KU Leuven, Leuven, Belgium
| | - Tinne de Laet
- Faculty of Engineering Science, KU Leuven, Leuven, Belgium
| | - Kaat Desloovere
- Neuromotor Research Group, Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium.,Clinical Motion Analysis Laboratory, University Hospitals Leuven, Leuven, Belgium
| |
Collapse
|
6
|
Nieuwenhuys A, Papageorgiou E, Schless SH, De Laet T, Molenaers G, Desloovere K. Prevalence of Joint Gait Patterns Defined by a Delphi Consensus Study Is Related to Gross Motor Function, Topographical Classification, Weakness, and Spasticity, in Children with Cerebral Palsy. Front Hum Neurosci 2017; 11:185. [PMID: 28446871 PMCID: PMC5388743 DOI: 10.3389/fnhum.2017.00185] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2016] [Accepted: 03/28/2017] [Indexed: 11/18/2022] Open
Abstract
During a Delphi consensus study, a new joint gait classification system was developed for children with cerebral palsy (CP). This system, whose reliability and content validity have previously been established, identified 49 distinct joint patterns. The present study aims to provide a first insight toward the construct validity and clinical relevance of this classification system. The retrospective sample of convenience consisted of 286 patients with spastic CP (3-18 years old, GMFCS levels I-III, 166 with bilateral CP). Kinematic and kinetic trials from three-dimensional gait analysis were classified according to the definitions of the Delphi study, and one classified trial was randomly selected for each included limb (n = 446). Muscle weakness and spasticity were assessed for different muscle groups acting around the hip, knee, and ankle. Subsequently, Pearson Chi square tests, Cramer's V, and adjusted standardized residuals were calculated to explore the strength and direction of the associations between the joint patterns, and the different patient-specific characteristics (i.e., age, GMFCS level, and topographical classification) or clinical symptoms (muscle weakness and spasticity). Patient-specific characteristics showed several significant associations with the patterns of different joints, but the strength of most identified associations was weak. Apart from the knee during stance phase and the pelvis in the sagittal plane, the results systematically showed that the patterns with "minor gait deviations" were the most frequently observed. These minor deviations were found significantly more often in limbs with a lower level of spasticity and good muscle strength. Several other pathological joint patterns were moderately associated with weakness or spasticity, including but not limited to "outtoeing" for weakness and "intoeing" for spasticity. For the joints in the sagittal plane, significantly stronger associations were found with muscle weakness and spasticity, possibly because most of the evaluated muscles in this study mainly perform sagittal plane motions. Remarkably, the hip patterns in the coronal plane did not associate significantly with any of the investigated variables. Although further validation is warranted, this study contributes to the construct validity of the joint patterns of the Delphi consensus study, by demonstrating their ability to distinguish between clinically relevant subgroups in CP.
Collapse
Affiliation(s)
- Angela Nieuwenhuys
- Neuromotor Research Group, Department of Rehabilitation Sciences, KU LeuvenLeuven, Belgium
| | - Eirini Papageorgiou
- Neuromotor Research Group, Department of Rehabilitation Sciences, KU LeuvenLeuven, Belgium
| | - Simon-Henri Schless
- Neuromotor Research Group, Department of Rehabilitation Sciences, KU LeuvenLeuven, Belgium
| | - Tinne De Laet
- Faculty of Engineering Science, KU LeuvenLeuven, Belgium
| | - Guy Molenaers
- Department of Development and Regeneration, KU LeuvenLeuven, Belgium
- Department of Orthopedics, University Hospitals LeuvenLeuven, Belgium
| | - Kaat Desloovere
- Neuromotor Research Group, Department of Rehabilitation Sciences, KU LeuvenLeuven, Belgium
- Clinical Motion Analysis Laboratory, University Hospitals LeuvenLeuven, Belgium
| |
Collapse
|
7
|
Boyd RN, Jordan R, Pareezer L, Moodie A, Finn C, Luther B, Arnfield E, Pym A, Craven A, Beall P, Weir K, Kentish M, Wynter M, Ware R, Fahey M, Rawicki B, McKinlay L, Guzzetta A. Australian Cerebral Palsy Child Study: protocol of a prospective population based study of motor and brain development of preschool aged children with cerebral palsy. BMC Neurol 2013; 13:57. [PMID: 23758951 PMCID: PMC3686628 DOI: 10.1186/1471-2377-13-57] [Citation(s) in RCA: 54] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2013] [Accepted: 05/31/2013] [Indexed: 11/20/2022] Open
Abstract
BACKGROUND Cerebral palsy (CP) results from a static brain lesion during pregnancy or early life and remains the most common cause of physical disability in children (1 in 500). While the brain lesion is static, the physical manifestations and medical issues may progress resulting in altered motor patterns. To date, there are no prospective longitudinal studies of CP that follow a birth cohort to track early gross and fine motor development and use Magnetic Resonance Imaging (MRI) to determine the anatomical pattern and likely timing of the brain lesion. Existing studies do not consider treatment costs and outcomes. This study aims to determine the pathway(s) to motor outcome from diagnosis at 18 months corrected age (c.a.) to outcome at 5 years in relation to the nature of the brain lesion (using structural MRI). METHODS This prospective cohort study aims to recruit a total of 240 children diagnosed with CP born in Victoria (birth years 2004 and 2005) and Queensland (birth years 2006-2009). Children can enter the study at any time between 18 months to 5 years of age and will be assessed at 18, 24, 30, 36, 48 and 60 months c.a. Outcomes include gross motor function (GMFM-66 & GMFM-88), Gross Motor Function Classification System (GMFCS); musculoskeletal development (hip displacement, spasticity, muscle contracture), upper limb function (Manual Ability Classification System), communication difficulties using Communication and Symbolic Behaviour Scales-Developmental Profile (CSBS-DP), participation using the Paediatric Evaluation of Disability Inventory (PEDI), parent reported quality of life and classification of medical and allied health resource use and determination of the aetiology of CP using clinical evaluation combined with MRI. The relationship between the pathways to motor outcome and the nature of the brain lesion will be analysed using multiple methods including non-linear modelling, multilevel mixed-effects models and generalised estimating equations. DISCUSSION This protocol describes a large population-based study of early motor development and brain structure in a representative sample of preschool aged children with CP, using direct clinical assessment. The results of this study will be published in peer reviewed journals and presented at relevant international conferences. TRIAL REGISTRATION Australia and New Zealand Clinical Trials Register (ACTRN1261200169820).
Collapse
Affiliation(s)
- Roslyn N Boyd
- Queensland Cerebral Palsy and Rehabilitation Research Centre, School of Medicine, Faculty of Health Sciences, The University of Queensland, Brisbane, Australia
- Department of Rehabilitation, Queensland Cerebral Palsy Health Service, Royal Children’s Hospital, Brisbane, Herston, Australia
- Queensland Cerebral Palsy and Rehabilitation Research Centre, Royal Brisbane and Women’s Hospital, Level 7, Block 6, Herston, QLD, 4029, Australia
| | - Rachel Jordan
- Queensland Cerebral Palsy and Rehabilitation Research Centre, School of Medicine, Faculty of Health Sciences, The University of Queensland, Brisbane, Australia
| | - Laura Pareezer
- Queensland Cerebral Palsy and Rehabilitation Research Centre, School of Medicine, Faculty of Health Sciences, The University of Queensland, Brisbane, Australia
| | - Anne Moodie
- Department of Rehabilitation, The Royal Children’s Hospital, Melbourne, Australia
| | - Christine Finn
- Queensland Cerebral Palsy and Rehabilitation Research Centre, School of Medicine, Faculty of Health Sciences, The University of Queensland, Brisbane, Australia
| | - Belinda Luther
- Department of Rehabilitation, The Royal Children’s Hospital, Melbourne, Australia
| | - Evyn Arnfield
- Queensland Cerebral Palsy and Rehabilitation Research Centre, School of Medicine, Faculty of Health Sciences, The University of Queensland, Brisbane, Australia
| | - Aaron Pym
- Queensland Cerebral Palsy and Rehabilitation Research Centre, School of Medicine, Faculty of Health Sciences, The University of Queensland, Brisbane, Australia
| | - Alex Craven
- Queensland Cerebral Palsy and Rehabilitation Research Centre, School of Medicine, Faculty of Health Sciences, The University of Queensland, Brisbane, Australia
| | - Paula Beall
- Queensland Cerebral Palsy and Rehabilitation Research Centre, School of Medicine, Faculty of Health Sciences, The University of Queensland, Brisbane, Australia
| | - Kelly Weir
- Queensland Cerebral Palsy and Rehabilitation Research Centre, School of Medicine, Faculty of Health Sciences, The University of Queensland, Brisbane, Australia
| | - Megan Kentish
- Department of Rehabilitation, Queensland Cerebral Palsy Health Service, Royal Children’s Hospital, Brisbane, Herston, Australia
| | - Meredith Wynter
- Department of Rehabilitation, Queensland Cerebral Palsy Health Service, Royal Children’s Hospital, Brisbane, Herston, Australia
| | - Robert Ware
- Queensland Children’s Medical Research Institute, The University of Queensland, Queensland, Australia
- School of Population Health, The University of Queensland, Queensland, Australia
| | - Michael Fahey
- Department of Paediatrics, Monash University, Clayton, VIC, Australia
| | - Barry Rawicki
- Department of Paediatrics, Monash University, Clayton, VIC, Australia
| | - Lynne McKinlay
- Queensland Cerebral Palsy and Rehabilitation Research Centre, School of Medicine, Faculty of Health Sciences, The University of Queensland, Brisbane, Australia
| | - Andrea Guzzetta
- Department of Developmental Neuroscience, Stella Maris Scientific Institute, Pisa, Italy
| |
Collapse
|
8
|
Commercial video frame rates can produce reliable results for both normal and CP spastic gait's spatiotemporal, angular, and linear displacement variables. J Appl Biomech 2011; 27:266-71. [PMID: 21844616 DOI: 10.1123/jab.27.3.266] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
To investigate what sampling frequency is adequate for gait, the correlation of spatiotemporal parameters and the kinematic differences, between normal and CP spastic gait, for three sampling frequencies (100 Hz, 50 Hz, 25 Hz) were assessed. Spatiotemporal, angular, and linear displacement variables in the sagittal plane along with their 1st and 2nd derivatives were analyzed. Spatiotemporal stride parameters were highly correlated among the three sampling frequencies. The statistical model (2 × 3 ANOVA) gave no interactions between the factors group and frequency, indicating that group differences were invariant of sampling frequency. Lower frequencies led to smoother curves for all the variables, with a loss of information though, especially for the 2nd derivatives, having a homologous effect as the one of oversmoothing. It is proposed that in the circumstance that only spatiotemporal stride parameters, as well as angular and linear displacements are to be used, in gait reports, then commercial video camera speeds (25/30 Hz, 50/60 Hz when deinterlaced) can be considered as a low-cost solution to produce acceptable results.
Collapse
|
9
|
Viehweger E, Haumont T, de Lattre C, Presedo A, Filipetti P, Ilharreborde B, Lebarbier P, Loundou A, Simeoni MC. Multidimensional outcome assessment in cerebral palsy: is it feasible and relevant? J Pediatr Orthop 2008; 28:576-83. [PMID: 18580376 DOI: 10.1097/bpo.0b013e31817bd7ef] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
BACKGROUND To examine feasibility and relevance of a multidimensional outcome assessment approach using instrumented 3-dimensional gait analysis, via the Gillette Gait Index (GGI), and a set of validated functional and health-related quality of life tools in diplegic cerebral palsy children, before introduction as a nationwide evaluation set. METHODS A 3-year prospective government-funded multicenter study was conducted, recruiting patients during a 9-month period classified using the Gross Motor Function Classification System and the Rodda et al sagittal walking patterns. The Gross Motor Classification System Dimensions D and E, the 10-level Gillette Functional Assessment Questionnaire, the Energy Expenditure Index (EEI), the GGI out of 3D gait analysis, and health-related quality of life, assessed by self or proxy with the questionnaire "Vècu et Santè Perçu de l'Adolescent," were selected for the study. RESULTS Cross-sectional data subset at inclusion of 160 spastic diplegic cerebral palsy patients, the largest series in our country, 6 to 18 years old (mean age, 11.0 years), are reported. The GGI correlated significantly (P < 0.001) with the Gross Motor Classification System, the Functional Assessment Questionnaire, and the EEI for all the patients, and all but one (EEI) correlated if grouped according to Gross Motor Function Classification System or Rodda. No systematic correlation was found between the quality of life scores and the other outcome tools. CONCLUSIONS The outcome evaluation instrument set tested in our study helps to adopt common tools, to be integrated in an evidence-based practice and to compare health status and treatment outcome between countries, specifically in different linguistic environments like in European countries.
Collapse
Affiliation(s)
- Elke Viehweger
- Department of Pediatric Orthopaedics, Children's Hospital Timone, 264 Rue Saint Pierre, Marseille Cedex 05, France.
| | | | | | | | | | | | | | | | | | | |
Collapse
|