Development of equations and software for estimating weight in children with cerebral palsy

Autores
Ruiz Brunner, María de Las Mercedes; Cieri, Maria Elisabeth; Butler, Charlene; Cuestas, Eduardo
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Aim: To develop equations and software to estimate weight using segmental measures for children with cerebral palsy (CP). Method: This was a cross-sectional study. Children and adolescents with CP of both sexes from 2 to 19 years old from five cities in Argentina were included. Weight, mid-upper arm circumference (MUAC), and clinical covariables were collected. Linear regression models with weight as the dependent variable and body segment lengths as predictors were developed and compared for R2, adjusted R2, and the root mean square of the error. Results: In total, 381 children and adolescents (mean age 10y 5mo [SD 4y 9mo], range 2–19y; 231 males, 150 females) with a confirmed diagnosis of CP were included. Gross motor function based on the Gross Motor Function Classification System (GMFCS) was as follows: level I, 59; II, 55; III, 59; IV, 69; V, 139. The interaction between weight and other variables such as MUAC, sex, GMFCS, and age was analysed. The concordance correlation coefficient between estimated and observed weight was 0.94 (95% CI 0.93–0.95). From the results of the equations, a free software tool, named Weight Calculator CP, was developed. Interpretation: Weight in children with CP can be predicted using MUAC, GMFCS, and age. Weight Calculator CP can be used in clinical practice when direct weight cannot be obtained. What this paper adds Equations can be used to estimate weight in children with cerebral palsy via body segments. Weight can be estimated according to age and gross motor function. The average difference between estimated and observed weights was 119g.
Fil: Ruiz Brunner, María de Las Mercedes. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; Argentina
Fil: Cieri, Maria Elisabeth. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; Argentina
Fil: Butler, Charlene. American Academy for Cerebral Palsy and Developmental Medicine; Estados Unidos
Fil: Cuestas, Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; Argentina
Materia
CEREBRAL PALSY
EQUATIONS
SOFTWARE
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/211846
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/211846
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Development of equations and software for estimating weight in children with cerebral palsyRuiz Brunner, María de Las MercedesCieri, Maria ElisabethButler, CharleneCuestas, EduardoCEREBRAL PALSYEQUATIONSSOFTWAREhttps://purl.org/becyt/ford/3.3https://purl.org/becyt/ford/3Aim: To develop equations and software to estimate weight using segmental measures for children with cerebral palsy (CP). Method: This was a cross-sectional study. Children and adolescents with CP of both sexes from 2 to 19 years old from five cities in Argentina were included. Weight, mid-upper arm circumference (MUAC), and clinical covariables were collected. Linear regression models with weight as the dependent variable and body segment lengths as predictors were developed and compared for R2, adjusted R2, and the root mean square of the error. Results: In total, 381 children and adolescents (mean age 10y 5mo [SD 4y 9mo], range 2–19y; 231 males, 150 females) with a confirmed diagnosis of CP were included. Gross motor function based on the Gross Motor Function Classification System (GMFCS) was as follows: level I, 59; II, 55; III, 59; IV, 69; V, 139. The interaction between weight and other variables such as MUAC, sex, GMFCS, and age was analysed. The concordance correlation coefficient between estimated and observed weight was 0.94 (95% CI 0.93–0.95). From the results of the equations, a free software tool, named Weight Calculator CP, was developed. Interpretation: Weight in children with CP can be predicted using MUAC, GMFCS, and age. Weight Calculator CP can be used in clinical practice when direct weight cannot be obtained. What this paper adds Equations can be used to estimate weight in children with cerebral palsy via body segments. Weight can be estimated according to age and gross motor function. The average difference between estimated and observed weights was 119g.Fil: Ruiz Brunner, María de Las Mercedes. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; ArgentinaFil: Cieri, Maria Elisabeth. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; ArgentinaFil: Butler, Charlene. American Academy for Cerebral Palsy and Developmental Medicine; Estados UnidosFil: Cuestas, Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; ArgentinaWiley Blackwell Publishing, Inc2021-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/211846Ruiz Brunner, María de Las Mercedes; Cieri, Maria Elisabeth; Butler, Charlene; Cuestas, Eduardo; Development of equations and software for estimating weight in children with cerebral palsy; Wiley Blackwell Publishing, Inc; Developmental Medicine And Child Neurology; 63; 7; 7-2021; 860-8650012-1622CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/10.1111/dmcn.14857info:eu-repo/semantics/altIdentifier/doi/10.1111/dmcn.14857info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:45:15Zoai:ri.conicet.gov.ar:11336/211846instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:45:16.228CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Development of equations and software for estimating weight in children with cerebral palsy
title Development of equations and software for estimating weight in children with cerebral palsy
spellingShingle Development of equations and software for estimating weight in children with cerebral palsy
Ruiz Brunner, María de Las Mercedes
CEREBRAL PALSY
EQUATIONS
SOFTWARE
title_short Development of equations and software for estimating weight in children with cerebral palsy
title_full Development of equations and software for estimating weight in children with cerebral palsy
title_fullStr Development of equations and software for estimating weight in children with cerebral palsy
title_full_unstemmed Development of equations and software for estimating weight in children with cerebral palsy
title_sort Development of equations and software for estimating weight in children with cerebral palsy
dc.creator.none.fl_str_mv Ruiz Brunner, María de Las Mercedes
Cieri, Maria Elisabeth
Butler, Charlene
Cuestas, Eduardo
author Ruiz Brunner, María de Las Mercedes
author_facet Ruiz Brunner, María de Las Mercedes
Cieri, Maria Elisabeth
Butler, Charlene
Cuestas, Eduardo
author_role author
author2 Cieri, Maria Elisabeth
Butler, Charlene
Cuestas, Eduardo
author2_role author
author
author
dc.subject.none.fl_str_mv CEREBRAL PALSY
EQUATIONS
SOFTWARE
topic CEREBRAL PALSY
EQUATIONS
SOFTWARE
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.3
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv Aim: To develop equations and software to estimate weight using segmental measures for children with cerebral palsy (CP). Method: This was a cross-sectional study. Children and adolescents with CP of both sexes from 2 to 19 years old from five cities in Argentina were included. Weight, mid-upper arm circumference (MUAC), and clinical covariables were collected. Linear regression models with weight as the dependent variable and body segment lengths as predictors were developed and compared for R2, adjusted R2, and the root mean square of the error. Results: In total, 381 children and adolescents (mean age 10y 5mo [SD 4y 9mo], range 2–19y; 231 males, 150 females) with a confirmed diagnosis of CP were included. Gross motor function based on the Gross Motor Function Classification System (GMFCS) was as follows: level I, 59; II, 55; III, 59; IV, 69; V, 139. The interaction between weight and other variables such as MUAC, sex, GMFCS, and age was analysed. The concordance correlation coefficient between estimated and observed weight was 0.94 (95% CI 0.93–0.95). From the results of the equations, a free software tool, named Weight Calculator CP, was developed. Interpretation: Weight in children with CP can be predicted using MUAC, GMFCS, and age. Weight Calculator CP can be used in clinical practice when direct weight cannot be obtained. What this paper adds Equations can be used to estimate weight in children with cerebral palsy via body segments. Weight can be estimated according to age and gross motor function. The average difference between estimated and observed weights was 119g.
Fil: Ruiz Brunner, María de Las Mercedes. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; Argentina
Fil: Cieri, Maria Elisabeth. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; Argentina
Fil: Butler, Charlene. American Academy for Cerebral Palsy and Developmental Medicine; Estados Unidos
Fil: Cuestas, Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; Argentina
description Aim: To develop equations and software to estimate weight using segmental measures for children with cerebral palsy (CP). Method: This was a cross-sectional study. Children and adolescents with CP of both sexes from 2 to 19 years old from five cities in Argentina were included. Weight, mid-upper arm circumference (MUAC), and clinical covariables were collected. Linear regression models with weight as the dependent variable and body segment lengths as predictors were developed and compared for R2, adjusted R2, and the root mean square of the error. Results: In total, 381 children and adolescents (mean age 10y 5mo [SD 4y 9mo], range 2–19y; 231 males, 150 females) with a confirmed diagnosis of CP were included. Gross motor function based on the Gross Motor Function Classification System (GMFCS) was as follows: level I, 59; II, 55; III, 59; IV, 69; V, 139. The interaction between weight and other variables such as MUAC, sex, GMFCS, and age was analysed. The concordance correlation coefficient between estimated and observed weight was 0.94 (95% CI 0.93–0.95). From the results of the equations, a free software tool, named Weight Calculator CP, was developed. Interpretation: Weight in children with CP can be predicted using MUAC, GMFCS, and age. Weight Calculator CP can be used in clinical practice when direct weight cannot be obtained. What this paper adds Equations can be used to estimate weight in children with cerebral palsy via body segments. Weight can be estimated according to age and gross motor function. The average difference between estimated and observed weights was 119g.
publishDate 2021
dc.date.none.fl_str_mv 2021-07
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/211846
Ruiz Brunner, María de Las Mercedes; Cieri, Maria Elisabeth; Butler, Charlene; Cuestas, Eduardo; Development of equations and software for estimating weight in children with cerebral palsy; Wiley Blackwell Publishing, Inc; Developmental Medicine And Child Neurology; 63; 7; 7-2021; 860-865
0012-1622
CONICET Digital
CONICET
url http://hdl.handle.net/11336/211846
identifier_str_mv Ruiz Brunner, María de Las Mercedes; Cieri, Maria Elisabeth; Butler, Charlene; Cuestas, Eduardo; Development of equations and software for estimating weight in children with cerebral palsy; Wiley Blackwell Publishing, Inc; Developmental Medicine And Child Neurology; 63; 7; 7-2021; 860-865
0012-1622
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/10.1111/dmcn.14857
info:eu-repo/semantics/altIdentifier/doi/10.1111/dmcn.14857
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Wiley Blackwell Publishing, Inc
publisher.none.fl_str_mv Wiley Blackwell Publishing, Inc
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.13397

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