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Al-Rumaih MH, Camp MW, Narayanan UG. Current Concept and Management of Spastic Hip in Children: A Narrative Review. Cureus 2023; 15:e43347. [PMID: 37577278 PMCID: PMC10421643 DOI: 10.7759/cureus.43347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/11/2023] [Indexed: 08/15/2023] Open
Abstract
Cerebral palsy (CP) is a non-progressive motor condition that hinders the development of movement and posture. One of the common problems faced in CP is spastic hips, which can cause discomfort, deformity, and functional restrictions. This review article seeks to offer a thorough summary of the most recent methods for treating spastic hips in cerebral palsy patients. Additionally, it describes the success and potential risks of various conservative and surgical procedures. It also looks at new treatments and potential avenues for managing this complicated ailment.
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Affiliation(s)
- Mohammed H Al-Rumaih
- Department of Orthopaedic Surgery, Prince Sultan Military Medical City, Riyadh, SAU
- Scientific Research Center (SRC), Prince Sultan Military Medical City, Riyadh, SAU
| | - Mark W Camp
- Division of Orthopaedic Surgery, The Hospital for Sick Children, Toronto, CAN
- Department of Surgery, University of Toronto, Toronto, CAN
| | - Unni G Narayanan
- Division of Orthopaedic Surgery, The Hospital for Sick Children, Toronto, CAN
- Department of Surgery, University of Toronto, Toronto, CAN
- Peter Gilgan Centre for Research and Learning, The Hospital for Sick Children, Toronto, CAN
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, CAN
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Jahan I, Ruiz Brunner MDLM, Muhit M, Hossain I, Cuestas E, Cieri ME, Condinanzi AL, Escobar Zuluaga LJ, Badawi N, Khandaker G. Novel weight estimation equation for children with cerebral palsy in low-resource settings: Validation in a population-based cohort. Dev Med Child Neurol 2023; 65:517-525. [PMID: 36126148 DOI: 10.1111/dmcn.15413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 07/26/2022] [Accepted: 08/16/2022] [Indexed: 11/30/2022]
Abstract
AIM To validate a novel equation to estimate weight from mid-upper arm circumference (MUAC) among children with cerebral palsy (CP) in rural Bangladesh. METHOD Children with CP aged 2 to 18 years registered in the Bangladesh CP Register were randomly selected. Data on sociodemographics, Gross Motor Function Classification System level, and anthropometric measurements were extracted. Bland-Altman plots with a 95% agreement limit and Lin's concordance correlation coefficient with 95% confidence intervals (CI) were reported to measure agreement between observed and estimated weight. Percentage error was used to determinate the method's accuracy. RESULTS There were 497 participants with a mean age at assessment of 9 years (SD 4 years 11 months) (47.7% female). Lin's concordance correlation coefficient between the observed and estimated weights was 0.90 (95% CI 0.89-0.92). Bland-Altman plots showed a reasonable accuracy of the equation in the study cohort. The mean percentage error of the equation was 5.04%. The average difference between observed and estimated weights was -1.02 kg (SD 5.1). The differences between observed and estimated weights were significantly greater among children with weight-for-age, height-for-age, or BMI-for-age z-scores less than or equal to -4. INTERPRETATION It is possible to predict the weight of children with CP from MUAC with sufficient accuracy. The equation can be used for populations in low-resources and low- and middle-income countries. WHAT THIS PAPER ADDS The equations predict the weight of children with cerebral palsy from their mid-upper arm circumference reasonably accurately. The difference between observed and estimated weights ranged between 0 kg and ± 5 kg in 81.5% of children. Sex and Gross Motor Function Classification System level did not affect the accuracy of the equations. The equations were less accurate for estimating the weight of severely undernourished children.
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Affiliation(s)
- Israt Jahan
- CSF Global, Dhaka, Bangladesh
- Asian Institute of Disability and Development (AIDD), University of South Asia, Dhaka, Bangladesh
- School of Health, Medical and Applied Sciences, Central Queensland University, Rockhampton, Australia
| | - Maria de Las Mercedes Ruiz Brunner
- Instituto de Investigaciones en Ciencias de la Salud, Universidad Nacional de Córdoba, Consejo Nacional de Investigaciones Científicas y Técnicas (INICSA-UNC- CONICET), Córdoba, Argentina
- Instituto de Investigaciones Clínicas y Epidemiológicas (INICyE), Facultad de Ciencias Médicas, Universidad Nacional de Córdoba, Córdoba, Argentina
| | - Mohammad Muhit
- CSF Global, Dhaka, Bangladesh
- Asian Institute of Disability and Development (AIDD), University of South Asia, Dhaka, Bangladesh
| | | | - Eduardo Cuestas
- Instituto de Investigaciones en Ciencias de la Salud, Universidad Nacional de Córdoba, Consejo Nacional de Investigaciones Científicas y Técnicas (INICSA-UNC- CONICET), Córdoba, Argentina
- Instituto de Investigaciones Clínicas y Epidemiológicas (INICyE), Facultad de Ciencias Médicas, Universidad Nacional de Córdoba, Córdoba, Argentina
- Cátedra de Clínica Pediátrica, Facultad de Ciencias Médicas, Universidad Nacional de Córdoba, Córdoba, Argentina
| | - M Elisabeth Cieri
- Instituto de Investigaciones en Ciencias de la Salud, Universidad Nacional de Córdoba, Consejo Nacional de Investigaciones Científicas y Técnicas (INICSA-UNC- CONICET), Córdoba, Argentina
- Instituto de Investigaciones Clínicas y Epidemiológicas (INICyE), Facultad de Ciencias Médicas, Universidad Nacional de Córdoba, Córdoba, Argentina
| | - Ana L Condinanzi
- Instituto de Investigaciones en Ciencias de la Salud, Universidad Nacional de Córdoba, Consejo Nacional de Investigaciones Científicas y Técnicas (INICSA-UNC- CONICET), Córdoba, Argentina
- Instituto de Investigaciones Clínicas y Epidemiológicas (INICyE), Facultad de Ciencias Médicas, Universidad Nacional de Córdoba, Córdoba, Argentina
| | - L Johana Escobar Zuluaga
- Instituto de Investigaciones en Ciencias de la Salud, Universidad Nacional de Córdoba, Consejo Nacional de Investigaciones Científicas y Técnicas (INICSA-UNC- CONICET), Córdoba, Argentina
- Instituto de Investigaciones Clínicas y Epidemiológicas (INICyE), Facultad de Ciencias Médicas, Universidad Nacional de Córdoba, Córdoba, Argentina
| | - Nadia Badawi
- Cerebral Palsy Alliance Research Institute, Specialty of Child & Adolescent Health, Sydney Medical School, Faculty of Medicine & Health, The University of Sydney, Sydney, NSW, Australia
- Grace Centre for Newborn Intensive Care, Sydney Children's Hospital Network, The University of Sydney, Westmead, NSW, Australia
| | - Gulam Khandaker
- Asian Institute of Disability and Development (AIDD), University of South Asia, Dhaka, Bangladesh
- School of Health, Medical and Applied Sciences, Central Queensland University, Rockhampton, Australia
- Discipline of Child and Adolescent Health, Sydney Medical School, The University of Sydney, Sydney, NSW, Australia
- Central Queensland Public Health Unit, Central Queensland Hospital and Health Service, Rockhampton, QLD, Australia
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Barik S, Jain A, Nongdamba H, Chaudhary S, Yasam RP, Goyal T, Singh V. Imaging Parameters of Hip Dysplasia in Cerebral Palsy: A Systematic Review. Indian J Orthop 2022; 56:939-951. [PMID: 35669024 PMCID: PMC9123123 DOI: 10.1007/s43465-022-00610-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2021] [Accepted: 02/03/2022] [Indexed: 02/04/2023]
Abstract
Background Cerebral Palsy is the leading cause of childhood physical disability globally. The motor disorders of CP are often associated with musculoskeletal anomalies, of which hip displacement is the second most common abnormality after abnormalities of foot and ankle. Various radiological parameters have been described in the literature which detects and quantifies hip dysplasia, with MP being the current gold standard. This study aims to review these radiological indicators of hip dysplasia in children with cerebral palsy from the published literature. Methods A literature search using PubMed, Embase, and Google Scholar was done on 15th June 2021 focusing on surveillance of hip dysplasia in cerebral palsy. The studies to be included were to have used anyone or more radiological parameter for detection of hip dysplasia with the use of any of the radiological methods. Results The initial search yielded 1184 results. After the screening of the abstracts and full texts, a final of 30 studies was included for this systematic review. The majority of the studies were graded as Level 3 evidence (16/30), followed by Level 2 studies (14/30). X-ray was the most common modality of detection of dysplasia followed by CT scan, ultrasonography, and arthrogram. The reproducibility of the various parameters shows good to excellent intraclass coefficients. Conclusions Parameters other than MP can be used to screen hips in CP. This would be useful in patients in whom either the lateral acetabular edge is not discernible on a plain anteroposterior radiograph or there are issues in the positioning of the patient. Additional views and structures can be visualized which can lead to improved screening and planning. Further investigations are required to appreciate the full potential of these parameters and how they can be better utilized. Graphical abstract
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Affiliation(s)
- Sitanshu Barik
- Department of Orthopaedics, All India Institute of Medical Sciences, Deoghar, Jharkhand India
| | - Aakash Jain
- Department of Orthopaedics, All India Institute of Medical Sciences, Rishikesh, Uttarakhand India
| | - Hawaibam Nongdamba
- Department of Orthopaedics, All India Institute of Medical Sciences, Rishikesh, Uttarakhand India
| | - Sunny Chaudhary
- Department of Orthopaedics, All India Institute of Medical Sciences, Rishikesh, Uttarakhand India
| | - Rama Priya Yasam
- Department of Orthopaedics, All India Institute of Medical Sciences, Rishikesh, Uttarakhand India
| | - Tarun Goyal
- Department of Orthopaedics, All India Institute of Medical Sciences, Bhatinda, Punjab India
| | - Vivek Singh
- Department of Orthopaedics, All India Institute of Medical Sciences, Rishikesh, Uttarakhand India
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