Novel weight estimation equation for children with cerebral palsy in low‐resource settings: Validation in a population‐based cohort

Autor: Israt Jahan, Maria de las Mercedes Ruiz Brunner, Mohammad Muhit, Iskander Hossain, Eduardo Cuestas, M. Elisabeth Cieri, Ana L. Condinanzi, L. Johana Escobar Zuluaga, Nadia Badawi, Gulam Khandaker
Rok vydání: 2022
Předmět:
Zdroj: Developmental Medicine & Child Neurology. 65:517-525
ISSN: 1469-8749
0012-1622
DOI: 10.1111/dmcn.15413
Popis: To validate a novel equation to estimate weight from mid-upper arm circumference (MUAC) among children with cerebral palsy (CP) in rural Bangladesh.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.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.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.
Databáze: OpenAIRE
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