A Novel Statistical Approach to Evaluating Rehabilitation Outcomes in Children with Hemiparetic Cerebral Palsy
- Authors: Vedernikov I.O.1, Laisheva O.A.2,1, Polyaev B.A.3, Kovalchuk T.S.4, Chindilov D.V.5
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Affiliations:
- Russian Children’s Clinical Hospital — Branch of Russian National Research Medical University named after N.I. Pirogov
- The Russian National Research Medical University named after N.I. Pirogov
- Pirogov Russian National Research Medical University
- Российская детская клиническая больница ― филиал Российского национального исследовательского медицинского университета имени Н.И. Пирогова
- Neurosoft LLC
- Section: Original studies
- Published: 15.06.2025
- URL: https://rjpbr.com/1681-3456/article/view/679655
- DOI: https://doi.org/10.17816/rjpbr679655
- ID: 679655
Cite item
Abstract
Background. Gait impairments are a primary contributor to disability in children with cerebral palsy (CP). Traditional clinical scales and group-level statistical tests often fail to detect small but clinically meaningful improvements following rehabilitation, underscoring the need for more sensitive, objective evaluation methods.
Objective. To compare an individualized magnitude-based decision (MBD) statistical approach applied to inertial-sensor-based instrumental gait analysis (IGA-IS) data with conventional group statistical methods (p-value) for assessing the efficacy of a rehabilitation course in children with the hemiparetic form of CP.
Methods. This observational, single-center, prospective study analyzed IGA-IS records obtained immediately before and after a rehabilitation program in 23 children aged 8–17 years with hemiparetic CP, treated in the pediatric medical rehabilitation department of the Russian Children’s Clinical Hospital (RDKB).
Results. In this cohort, standard paired t-tests failed to reveal any statistically significant group-level changes in spatiotemporal gait parameters (p > 0.05 for all measures). In contrast, individualized MBD analysis demonstrated clinically significant improvements in the majority of patients, including:
- Increased step velocity and stride length on the paretic side in 47 % and 33 % of patients, respectively.
- Expanded knee (67 %) and ankle (40 %) joint range of motion.
- Greater foot-lift height during swing (47 %).
- Reduced pathological compensations in the lumbosacral spine (53 %).
Thus, the MBD method proved more sensitive to individual rehabilitation effects, identifying improvements that remained undetected by the classical group-based approach.
Conclusion. Individualized MBD analysis provides an objective means of detecting clinically meaningful gait improvements overlooked by conventional group tests, supporting its integration into rehabilitation outcome assessment.
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About the authors
Igor O. Vedernikov
Russian Children’s Clinical Hospital — Branch of Russian National Research Medical University named after N.I. Pirogov
Author for correspondence.
Email: pulmar@bk.ru
ORCID iD: 0009-0006-1327-2525
SPIN-code: 5047-2594
Russian Federation, Moscow
Olga A. Laisheva
The Russian National Research Medical University named after N.I. Pirogov; Russian Children’s Clinical Hospital — Branch of Russian National Research Medical University named after N.I. Pirogov
Email: olgalaisheva@mail.ru
ORCID iD: 0000-0002-8084-1277
SPIN-code: 8188-2819
MD, Dr. Sci. (Medicine), Professor
Russian Federation, Moscow; MoscowBoris A. Polyaev
Pirogov Russian National Research Medical University
Email: polyaev@sportmed.ru
ORCID iD: 0000-0002-9648-2336
SPIN-code: 1990-4635
MD, Dr. Sci. (Med.), Рrofessor
Russian Federation, MoscowTimofey S. Kovalchuk
Российская детская клиническая больница ― филиал Российского национального исследовательского медицинского университета имени Н.И. Пирогова
Email: doctor@tim-kovalchuk.ru
ORCID iD: 0000-0002-9870-4596
заведующий отделением медицинской реабилитации для детей
Denis V. Chindilov
Neurosoft LLC
Email: chindilov@neurosoft.com
SPIN-code: 9390-7483
Russian Federation, 5, Voronin str., Ivanovo, 153032, Russia
References
- Akhmatkhanova XX, Badalyan OL, Bril AG, et al. Physical and rehabilitation medicine for cerebral palsy in children. National guidelines. 2021:(1).
- Matkivsky RA, Shapkina OA, Usanova EP, et al. Evaluation of the effectiveness of medical rehabilitation of children with chronic diseases of the digestive system. Medical Almanac. 2012;(2):193-195.
- Nosovsky AM, Pikhlak AE, Logachev V. Statistics of small samples in medical research. Russian Medical Journal. 2013;(6):57-60.
- Brodke DJ, Makaroff K, Kelly EG, et al. Slow-motion smartphone video improves interobserver reliability of gait assessment in ambulatory cerebral palsy. Journal of Children's Orthopaedics. 2023;17(4):376–381. doi: 10.1177/18632521231177273
- Carcreff L, Gerber CN, Paraschiv-Ionescu A. Comparison of gait characteristics between clinical and daily life settings in children with cerebral palsy. Scientific reports. 2020;1(10):2091. doi: 10.1038/s41598-020-59002-6
- Choo CZY, Chow JY, Komar J. Validation of the Perception Neuron system for full-body motion capture. PloS one. 2022;1(17):e0262730. doi: 10.1371/journal.pone.0262730
- DeMauro SB, McDonald SA, Heyne RJ, et al. Increasing prevalence of cerebral palsy among two-year-old children born at< 27 weeks of gestation: a cohort study. The Journal of Pediatrics. 2024;(268):113944. doi: 10.1016/j.jpeds.2024.113944.
- Fong MM, Gibson N, Williams SA, et al. Clinical functional outcome measures for children with cerebral palsy after gait corrective orthopaedic surgery: A scoping review. Developmental Medicine & Child Neurology. 2023;12(65):1573–1586. doi: 10.1111/dmcn.156222023.
- Hopkins WG. Magnitude-Based decisions as hypothesis tests. Sportscience. 2020;(24):1–16.
- Jocham AJ, Laidig D, Guggenberger B, et al. Measuring highly accurate foot position and angle trajectories with foot-mounted IMUs in clinical practice. Gait & Posture. 2024;(108):63–69. doi: 10.1016/j.gaitpost.2023.11.002.
- De la Torre J, Marin J, Polo M, et al. MCQ-Balance: a method to monitor patients with balance disorders and improve clinical interpretation of posturography. PeerJ. 2021;(9):e10916.. doi: 10.7717/peerj.10916
- Manupibul U, Tanthuwapathom R, Jarumethitanont W, et al. Integration of force and IMU sensors for developing low-cost portable gait measurement system in lower extremities. Scientific Reports. 2023;1 (13):10653. doi: 10.1038/s41598-023-37761-2.
- Marin J, Marin JJ, Blanco T, et al. Is my patient improving? Individualized gait analysis in rehabilitation. Applied Sciences. 2020;23(10):8558. doi: 10.3390/app10238558.
- Naaz F, Nayak BP, Panigrahi S, et al. Psychosocial and Economic Burden on Families of Children With Cerebral Palsy: A Correlation With Locomotor Severity. Cureus. 2025;17(1). doi: 10.7759/cureus.76794.
- Novikov VА, Umnov VV, Zharkov DS, et al. The effect of secondary orthopedic complications on the quality of life of children with cerebral palsy. Traumatology and Orthopedics of Russia. 2025. doi: 10.17816/2311-2905-17653
- Picelli A, Lobba D, Midiri A, et al. Botulinum toxin injection into the forearm muscles for wrist and fingers spastic overactivity in adults with chronic stroke: a randomized controlled trial comparing three injection techniques. Clinical rehabilitation. 2014;3(28):232–242. doi: 10.1177/0269215513497735
- Prisco G, Pirozzi M A, Santone A, et al. Validity of Wearable Inertial Sensors for Gait Analysis: A Systematic Review. Diagnostics (Basel, Switzerland). 2024;1(15). doi: 10.3390/diagnostics15010036.
- Raciti L, Raciti G, A Ammendoliaet A, al. Improving spasticity by using botulin toxin: an overview focusing on combined approaches. Brain Sciences. 2024;7(14):631. doi: 10.3390/brainsci14070631
- Schwartz MH, Aldahondo N, MacWilliams BA. A Patient-Reported Measure of Locomotor Function Derived from the Functional Assessment Questionnaire. 2021. doi: 10.1101/2021.06.12.21258826.
- Synnot A, Chau M, Pitt V, et al. Interventions for managing skeletal muscle spasticity following traumatic brain injury. Cochrane Database of Systematic Reviews. 2017;(11). doi: 10.1002/14651858.CD008929.pub2
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