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[Fetal malnutrition assessment program]

Xiao-Yu Lin1, Jian-Bing Liu1, Xiu-Ping DU

  • 1Department of Cell Biology and Genetics, School of Basic Medicine, Shanxi Medical University, Taiyuan 030001, China.

Zhongguo Dang Dai Er Ke Za Zhi = Chinese Journal of Contemporary Pediatrics
|December 17, 2020
PubMed

Insights

Assessing newborn nutritional status is crucial. Combining Body Mass Index (BMI) and Clinical Assessment of Nutritional Status (CANS) offers a simple, reliable method to detect fetal malnutrition, reducing missed diagnoses.

Area of Science:

  • Neonatal Medicine
  • Pediatric Nutrition
  • Biometrics

Background:

  • Accurate assessment of neonatal nutritional status at birth is vital for infant health.
  • Existing methods like ponderal index (PI), body mass index (BMI), and mid-arm circumference/head circumference (MAC/HC) have limitations in detecting malnutrition.
  • Clinical Assessment of Nutritional Status (CANS) is another tool used for nutritional evaluation.

Purpose of the Study:

  • To evaluate the effectiveness of PI, BMI, MAC/HC, and CANS in assessing the nutritional status of neonates.
  • To identify a simple and reliable scheme for assessing fetal nutritional status at birth.

Main Methods:

  • Nutritional status of 678 full-term and 140 preterm infants was assessed using PI, BMI, MAC/HC, and CANS.
  • Data from these assessments were analyzed to compare the diagnostic capabilities of each method.
  • The diagnostic performance of combined methods was also evaluated.

Main Results:

  • Malnutrition was detected in 61 (PI), 102 (BMI), 47 (MAC/HC), and 131 (CANS) full-term infants.
  • Malnutrition was detected in 30 (PI), 87 (BMI), 9 (MAC/HC), and 112 (CANS) preterm infants.
  • The combination of BMI and CANS achieved a 99.3% detection rate in full-term and 100% in preterm infants, significantly improving detection compared to single methods (P < 0.05).

Conclusions:

  • The combined use of BMI and CANS significantly reduces the rate of missed diagnoses for fetal malnutrition.
  • This combination presents a simple, reliable, and effective method for assessing fetal nutritional status at birth.
Abstract

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