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Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
Utility of Mid-Upper Arm Circumference in Diagnosing Malnutrition in Children With Cystic Fibrosis
Rachel Y Phong1, Sandra L Taylor2, Brandt A Robinson3
1Department of Food and Nutrition Services, University of California Davis Health, Sacramento, California, USA.
Insights
Mid-upper arm circumference (MUAC) z-scores show promise for identifying malnutrition in pediatric cystic fibrosis (CF) patients, detecting more cases than traditional growth percentiles. MUAC also effectively tracks nutritional status changes over time.
Area of Science:
- Pediatric Nutrition
- Cystic Fibrosis Research
- Anthropometric Assessment
Background:
- Standardized malnutrition indicators like growth percentile z-scores and MUAC z-scores are used clinically.
- Their utility in pediatric cystic fibrosis (CF) populations requires further investigation.
Purpose of the Study:
- Compare growth percentile z-scores and MUAC z-scores for diagnosing and classifying malnutrition in pediatric CF patients.
- Assess the relationship between malnutrition severity and pulmonary function tests (PFTs).
Main Methods:
- Retrospective observational study of 49 pediatric CF patients.
- Collected anthropometric and PFT data over 12 months.
- Analyzed agreement using Cohen κ statistics and correlations using Pearson test.
Main Results:
- MUAC z-scores positively correlated with growth percentile z-scores (r=0.87) in diagnosing malnutrition.
- MUAC z-scores identified significantly more malnourished patients (49% vs 12%).
- MUAC z-scores increased over time, unlike BMI z-scores; no significant anthropometric-PFT relationship found.
Conclusions:
- MUAC z-scores show potential for classifying malnutrition in pediatric CF.
- MUAC z-scores may be valuable for monitoring nutritional status changes in this population.
Background:
Standardized diagnostic indicators for malnutrition using growth percentile z-scores (weight for length or body mass index [BMI]) and mid-upper arm circumference (MUAC) z-scores are being used in clinical practice; however, their application to the pediatric cystic fibrosis (CF) population is not well described. In this study, we aim to compare growth percentile z-scores and MUAC z-scores in diagnosing and classifying malnutrition in children with CF and assess the relationship between their degree of malnourishment and corresponding pulmonary function tests (PFTs).
Methods:
In this retrospective observational outpatient study of 49 pediatric CF patients, data were collected on baseline characteristics, anthropometrics, and PFTs over 12 months. Agreement in malnutrition diagnoses was quantified by Cohen κ statistics. Pearson test assessed the correlation between MUAC and BMI z-scores as well as PFTs and anthropometrics. Serial anthropometrics and PFTs were obtained and compared for a subset of patients (n = 28).
Results:
Growth percentile and MUAC z-scores were positively correlated in diagnosing malnutrition (Pearson correlation r = 0.87), but MUAC z-scores identified more patients as malnourished compared with growth percentile z-scores (49% vs 12%, Cohen κ of 0.22 [95% CI, 0.04-0.40]). There was no significant relationship between anthropometrics and PFTs. MUAC z-scores increased significantly over time, but BMI z-scores did not show this trend.
Conclusions:
Our small-scale data suggest a promising role for MUAC z-scores in classifying malnutrition and in measuring changes in nutrition status over time in pediatric CF.
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