Objective. To determine if gait waveform could discriminate children with diplegic cerebral palsy of the GMFCS levels I and II. Patients. Twenty-two children with diplegia, 11 classified as level I and 11 as level II of the GMFCS, aged 7 to 12 years. Methods. Gait kinematics included angular displacement of the pelvis and lower limb joints during the stance phase. Principal components (PCs) analyses followed by discriminant analysis were conducted. Results. PC1s of the pelvis and hip in the frontal plane differ significantly between groups and captured 80.5% and 86.1% of the variance, respectively. PC1s captured the magnitude of the pelvic obliquity and hip adduction angle during the stance phase. Children GMFCS level II walked with reduced pelvic obliquity and hip adduction angles, and these variables could discriminate the groups with a cross-validation of 95.5%. Conclusion. Reduced pelvic obliquity and hip adduction were observed between children GMFCS level II compared to level I. These results could help the classification process of mild-to-moderate children with diplegia. In addition, it highlights the importance of rehabilitation programs designed to improve pelvic and hip mobility in the frontal plane of diplegic cerebral palsy children level II of the GMFCS. 1. Introduction Cerebral palsy is a nonprogressive central nervous system disorder that results in physical impairments and functional limitations that change as the children grow older [1]. Among a large number of instruments [2–4], for measuring the physical ability of children with CP, the Gross Motor Function Classification System (GMFCS) introduced by Palisano et al. in 1997 [5] has been widely applied in clinical and research settings [6]. The GMFCS is a five-level classification system that identifies abilities and functional limitations, based on the need of assistive devices of the cerebral palsy child, during self-initiated movements, such as walking and sitting [5]. The system application is quick and easy and it gives a brief description of which level the child resembles based on his/her current gross motor function. The reliability and validity of the GMFCS in differentiating cerebral palsy children with different functional levels have been reported [1]. Similarly, the stability of the system over time proved to be very consistent, suggesting that the GMFCS could be used routinely in clinical practice to follow children with cerebral palsy [7]. However, due to the heterogeneous nature of cerebral palsy, some overlap between levels I and II has been observed and, indeed,
References
[1]
D. J. Oeffinger, C. M. Tylkowski, M. K. Rayens et al., “Gross motor function classification system and outcome tools for assessing ambulatory cerebral palsy: a multicenter study,” Developmental Medicine and Child Neurology, vol. 46, no. 5, pp. 311–319, 2004.
[2]
D. J. Oeffinger, S. P. Rogers, A. Bagley, G. Gorton, and C. M. Tylkowski, “Clinical applications of outcome tools in ambulatory children with cerebral palsy,” Physical Medicine and Rehabilitation Clinics of North America, vol. 20, no. 3, pp. 549–565, 2009.
[3]
M. Ketelaar, A. Vermeer, and P. J. M. Helders, “Functional motor abilities of children with cerebral palsy: a systematic literature review of assessment measures,” Clinical Rehabilitation, vol. 12, no. 5, pp. 369–380, 1998.
[4]
D. Barnes, J. L. Linton, E. Sullivan et al., “Pediatric outcomes data collection instrument scores in ambulatory children with cerebral palsy: an analysis by age groups and severity level,” Journal of Pediatric Orthopaedics, vol. 28, no. 1, pp. 97–102, 2008.
[5]
R. Palisano, P. Rosenbaum, S. Walter, D. Russell, E. Wood, and B. Galuppi, “Development and reliability of a system to classify gross motor function in children with cerebral palsy,” Developmental Medicine and Child Neurology, vol. 39, no. 4, pp. 214–223, 1997.
[6]
L. Gray, H. Ng, and D. Bartlett, “The gross motor function classification system: an update on impact and clinical utility,” Pediatric Physical Therapy, vol. 22, no. 3, pp. 315–320, 2010.
[7]
R. J. Palisano, D. Cameron, P. L. Rosenbaum, S. D. Walter, and D. Russell, “Stability of the gross motor function classification system,” Developmental Medicine and Child Neurology, vol. 48, no. 6, pp. 424–428, 2006.
[8]
A. M. Bagley, G. Gorton, D. Oeffinger et al., “Outcome assessments in children with cerebral palsy, part II: discriminatory ability of outcome tools,” Developmental Medicine and Child Neurology, vol. 49, no. 3, pp. 181–186, 2007.
[9]
M. Galea, “Outcome assessments in children with cerebral palsy,” Developmental Medicine and Child Neurology, vol. 49, no. 3, p. 165, 2007.
[10]
D. H. Sutherland and J. R. Davids, “Common gait abnormalities of the knee in cerebral palsy,” Clinical Orthopaedics and Related Research, no. 288, pp. 139–147, 1992.
[11]
M. C. de Morais Filhoa, C. M. Kawamura, P. H. Andrade, M. Dos Santos, M. R. Pickel, and R. B. Neto, “Factors associated with pelvic asymmetry in transverse plane during gait in patients with cerebral palsy,” Journal of Pediatric Orthopaedics B, vol. 18, no. 6, pp. 320–324, 2009.
[12]
G. M. Kilgour, P. J. McNair, and N. S. Stott, “Range of motion in children with spastic diplegia, GMFCS I-II compared to age and gender matched controls,” Physical and Occupational Therapy in Pediatrics, vol. 25, no. 3, pp. 61–79, 2005.
[13]
L. Chiari, U. Della Croce, A. Leardini, and A. Cappozzo, “Human movement analysis using stereophotogrammetry. Part 2: instrumental errors,” Gait and Posture, vol. 21, no. 2, pp. 197–211, 2005.
[14]
D. A. Winter, Biomechanics and Motor Control of Human movement, vol. 1, John Wiley & Sons, Waterloo, Canada, 3rd edition, 2005.
[15]
K. J. Deluzio, U. P. Wyss, B. Zee, P. A. Costigan, and C. Sorbie, “Principal component models of knee kinematics and kinetics: normal vs. pathological gait patterns,” Human Movement Science, vol. 16, no. 2-3, pp. 201–217, 1997.
[16]
K. J. Deluzio and J. L. Astephen, “Biomechanical features of gait waveform data associated with knee osteoarthritis. An application of principal component analysis,” Gait and Posture, vol. 25, no. 1, pp. 86–93, 2007.
[17]
S. C. E. Brandon and K. J. Deluzio, “Robust features of knee osteoarthritis in joint moments are independent of reference frame selection,” Clinical Biomechanics, vol. 26, no. 1, pp. 65–70, 2011.
[18]
I. T. Jolliffe, Principal Component Analysis, vol. 1, Springer, New York, NY, USA, 2nd edition, 2004.
[19]
K. A. McKean, S. C. Landry, C. L. Hubley-Kozey, M. J. Dunbar, W. D. Stanish, and K. J. Deluzio, “Gender differences exist in osteoarthritic gait,” Clinical Biomechanics, vol. 22, no. 4, pp. 400–409, 2007.
[20]
J. O. Ramsay and B. W. Silverman, “Principal components analysis for functional data,” in Functional Data Analysis, J. O. Ramsay and B. W. Silverman, Eds., pp. 85-–109, Springer, Montreal, Canada, 1st edition, 1997.
[21]
B. J. F. Manly, Multivariate Statistical Methods. A Primer, vol. 1, Chapman & Hall/CRC, New York, NY, USA, 3rd edition, 2004.
[22]
J. Perry and L. M. Burnfield, Gait Analysis. Normal and Pathological Function, SLACK Incorporated, Thorofare, NJ, USA, 2nd edition, 2010.
[23]
J. Rose and J. G. Gamble, Human Walking, Williams & Wilkins, London, UK, 2nd edition, 1994.
[24]
D. A. Neumann, Kinesiology aof the Musculoskeletal System. Foundations for Physical Rehabilitation, vol. 1, Mosby, St. Louis, Mo, USA, 1st edition, 2002.
[25]
U. Della Croce, P. O. Riley, J. L. Lelas, and D. C. Kerrigan, “A refined view of the determinants of gait,” Gait and Posture, vol. 14, no. 2, pp. 79–84, 2001.
[26]
R. Los Amigos, Observational Gait Analysis Handbook, vol. 1, Los Amigos Research and Education Institute, Downey, Calif, USA, 4th edition, 2001.
[27]
S. D. Russell, B. C. Bennett, D. C. Kerrigan, and M. F. Abel, “Determinants of gait as applied to children with cerebral palsy,” Gait and Posture, vol. 26, no. 2, pp. 295–300, 2007.
[28]
E. Y. S. Chao, “Biomechanics of the human gait,” in Frontiers in Biomechanics, G. W. Schmid-Schoenbein, S.L.-Y. Woo, and B. W. Zweifach, Eds., pp. 225–244, Springer, New York, NY, USA, 1ed edition, 1986.
[29]
R. J. Palisano, P. Rosenbaum, D. Bartlett, and M. H. Livingston, “Gross motor function classification system expanded and revised,” Developmental Medicine and Child Neurology, vol. 39, pp. 214–223, 1997.
[30]
J. B. Saunders, V. T. Inman, and H. D. Eberhart, “The major determinants in normal and pathological gait,” The Journal of Bone and Joint Surgery, vol. 35, no. 3, pp. 543–558, 1953.
[31]
D. L. Damiano and M. F. Abel, “Relation of gait analysis to gross motor function in cerebral palsy,” Developmental Medicine and Child Neurology, vol. 38, no. 5, pp. 389–396, 1996.
[32]
J. Rodda and H. K. Graham, “Classification of gait patterns in spastic hemiplegia and spastic diplegia: a basis for a management algorithm,” European Journal of Neurology, vol. 8, no. 5, pp. 98–108, 2001.
[33]
M. P. Kadaba, H. K. Ramakrishnan, M. E. Wootten, J. Gainey, G. Gorton, and G. V. B. Cochran, “Repeatability of kinematic, kinetic, and electromyographic data in normal adult gait,” Journal of Orthopaedic Research, vol. 7, no. 6, pp. 849–860, 1989.
[34]
H. K. Ramakrishnan and M. P. Kadaba, “On the estimation of joint kinematics during gait,” Journal of Biomechanics, vol. 24, no. 10, pp. 969–977, 1991.
[35]
P. A. Araújo, R. N. Kirkwood, and E. M. Figueiredo, “Validity and intra- and inter-rater reliability of the Observational Gait Scale for children with spastic cerebral palsy,” Revista Brasileira de Fisioterapia, vol. 13, no. 3, pp. 267–273, 2009.