Comparisons of severity classification systems for oropharyngeal dysfunction in children with cerebral palsy: Relations with other functional profiles

Goh, Yu-Ra; Choi, Ja Young; Kim, Seon Ah; Park, Jieun; Park, Eun Sook

doi:10.1016/j.ridd.2017.12.002

Cited by 22 publications

(25 citation statements)

References 29 publications

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“…As in previous research, we found that the risk of speech and/or communication difficulties was greater for children with dyskinetic than spastic forms of CP, 3,5,7 for children born at term, those with slightly higher birthweight, 1 those who had neonatal seizures, 1 and for children with more severely impaired vison, 1,12 gross and fine motor function, feeding impairment, 1 and non-verbal cognition. 3,5,[9][10][11] The measures that continued to predict CFCS levels in our multivariable models-CP type and distribution, gross motor function (GMFCS level V), and speech (amount of speech understood by strangers)-were similar to the two previous studies of the CFCS. 2,12 However, unlike the previous studies, vision (severe visual impairment) and nonverbal cognition remained significant predictors of CFCS level in our multivariable models after adjustment for other variables.…”

Section: Discussionsupporting

confidence: 75%

“…1 Magnetic resonance imaging studies show that lesions in cortical/subcortical regions and basal ganglia are associated with a greater risk of poor speech and communication outcomes than periventricular leukomalacia. 3,5,8 Speech and communication performance in childhood are both positively associated with oromotor function, 9 gross and fine motor function, and non-verbal cognition. 3,5,[9][10][11] Language development appears highly correlated with non-verbal cognition.…”

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confidence: 99%

“…3,5,8 Speech and communication performance in childhood are both positively associated with oromotor function, 9 gross and fine motor function, and non-verbal cognition. 3,5,[9][10][11] Language development appears highly correlated with non-verbal cognition. 11 Recent studies have provided information that could guide prognosis.…”

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confidence: 99%

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Communication disorders in young children with cerebral palsy

Pennington

Dave

Rudd

et al. 2020

Develop Med Child Neuro

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Aim To test the prediction of communication disorder severity at 5 years of age from characteristics at 2 years for children with cerebral palsy (CP) whose communication is giving cause for concern. Method In this cohort study, 77 children (52 males; 25 females) with communication difficulties and CP were visited at home at 2 (mean 2y 4mo; SD 3mo) and 5 (mean 5y 5mo; SD 4mo) years of age. Information on the type and distribution of motor disorder, seizures, gross and fine motor function, hearing, and vision were collected from medical notes. Non‐verbal cognition, language comprehension, language expression, spoken vocabulary, and methods of communication were assessed directly at age 2 years. At 5 years, communication and speech function were rated using the Communication Function Classification System (CFCS), Functional Communication Classification System (FCCS), and Viking Speech Scale (VSS). Results In multivariable regression models, CP type, Gross Motor Function Classification System level, vision, the amount of speech understood by strangers, non‐verbal cognition, and number of consonants produced at age 2 years predicted the CFCS level at age 5 years (R2=0.54). CP type, Manual Ability Classification System level, amount of speech understood, vision, and number of consonants predicted the FCCS level (R2=0.49). CP type, amount of speech understood by strangers, and number of consonants predicted the VSS level (R2=0.50). Interpretation Characteristics at 2 years of age predict communication and speech performance at 5 years, and should inform referral to speech and language therapy.

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Section: Discussionsupporting

confidence: 75%

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confidence: 99%

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Communication disorders in young children with cerebral palsy

Pennington

Dave

Rudd

et al. 2020

Develop Med Child Neuro

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“…9 Feeding abilities. Assessment of eating and drinking performance was made using the Eating and Drinking Ability Classification System for Individuals with Cerebral Palsy (EDACS) 13 (Table 3).…”

Section: Patients Gastrostomymentioning

confidence: 99%

PredictMed: A logistic regression–based model to predict health conditions in cerebral palsy

Bertoncelli

Altamura

Vieira³

et al. 2020

Health Informatics J

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Logistic regression–based predictive models are widely used in the healthcare field but just recently are used to predict comorbidities in children with cerebral palsy. This article presents a logistic regression approach to predict health conditions in children with cerebral palsy and a few examples from recent research. The model named PredictMed was trained, tested, and validated for predicting the development of scoliosis, intellectual disabilities, autistic features, and in the present study, feeding disorders needing gastrostomy. This was a multinational, cross-sectional descriptive study. Data of 130 children (aged 12–18 years) with cerebral palsy were collected between June 2005 and June 2015. The logistic regression–based model uses an algorithm implemented in R programming language. After splitting the patients in training and testing sets, logistic regressions are performed on every possible subset (tuple) of independent variables. The tuple that shows the best predictive performance in terms of accuracy, sensitivity, and specificity is chosen as a set of independent variables in another logistic regression to calculate the probability to develop the specific health condition (e.g. the need for gastrostomy). The average of accuracy, sensitivity, and specificity score was 90%. Our model represents a novelty in the field of some cerebral palsy–related health outcomes treatment, and it should significantly help doctors’ decision-making process regarding patient prognosis.

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“…EDACS se ha evaluado en estudios recientes en cuanto a su validez en distintas poblaciones pediátricas con PC demostrando muy buenos resultados de confiabilidad tanto entre profesionales como entre profesionales y familia [28][29][30] . Existe una alta asociación entre los niveles de EDACS con disfagia y dificultades al tragar, sin embargo la asociación entre el EDACS y el GMFCS es moderada [31][32][33] . Aún no son muchas las investigaciones que incorporan esta clasificación, pero se alienta su implementación para la valoración de la PC.…”

Section: Métodosunclassified

Sistemas de clasificación para niños, niñas y adolescentes con parálisis cerebral: su uso en la práctica clínica

Brünner

Zuluaga

Cieri

et al. 2020

Rev Fac Cien Med Univ Nac Cordoba

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Introducción: Los sistemas de clasificaciones son herramientas de uso internacional para caracterizar las funciones de los niños y jóvenes con parálisis cerebral (PC), para el uso clínico y de investigación. El objetivo de este estudio fue caracterizar los distintos sistemas de clasificación disponibles y describir la utilidad de cada una de las clasificaciones, describiendo su uso en la práctica clínica. Métodos: se realizó una búsqueda bibliográfica exhaustiva utilizando las bases de datos de Cochrane Database, MEDLINE, LILACS y Google Académico. El período de búsqueda fue desde 1997 hasta el 2019 mediante palabras claves. Se incluyeron sistemas de clasificación que se centraran en funciones y estructuras corporales, consideren la Clasificación internacional del funcionamiento, de la discapacidad y de la salud, estén validados y en idioma inglés y en español. La calidad de los trabajos fue valorada de acuerdo al AGREE reporting checklist. Resultados: Se encontraron seis sistemas de clasificación destinado a personas con PC sobre sus funciones y estructuras corporales. Cada uno de los sistemas se centra en una función o habilidad específica, que son: función motora gruesa, habilidades manuales, funciones de la comunicación, habilidades para comer y beber, resonancias magnéticas nuclear y funciones visuales. Conclusión principal: Todos los sistemas han sido validados, estandarizados y utilizados de forma internacional. Sirven para describir de forma más completa los niveles funcionales y de estructuras corporales de las personas con PC tanto a nivel clínico, poblacional e investigaciones.

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Comparisons of severity classification systems for oropharyngeal dysfunction in children with cerebral palsy: Relations with other functional profiles

Cited by 22 publications

References 29 publications

Communication disorders in young children with cerebral palsy

Communication disorders in young children with cerebral palsy

PredictMed: A logistic regression–based model to predict health conditions in cerebral palsy

Sistemas de clasificación para niños, niñas y adolescentes con parálisis cerebral: su uso en la práctica clínica

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