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ORIGINAL ARTICLE
Year : 2016  |  Volume : 57  |  Issue : 2  |  Page : 124-128

Comparative study of Clinical Assessment of Nutritional status score and proportionality indices in the assessment of fetal malnutrition in term newborns


Department of Pediatrics, Neonatal Unit, Lagos University Teaching Hospital, Lagos, Nigeria

Correspondence Address:
Beatrice Nkolika Ezenwa
Department of Pediatrics, Neonatal Unit, Lagos University Teaching Hospital, Idi-Araba, Lagos
Nigeria
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/0300-1652.182075

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Background: Fetal malnutrition (FM) which describes the underweight/wasting seen in newborns is a significant contributor to perinatal morbidity and mortality and requires proper documentation. The objective of this study was to assess the nutritional status of term newborns at birth using Clinical Assessment of Nutritional (CAN) status score and four other anthropometric indices and to compare the efficiency of CAN score and the anthropometric indices in identifying FM in term newborns. Materials and Methods: The study was conducted on live singleton babies delivered ≥37–42 completed weeks of gestation at the inborn unit of Lagos University Teaching Hospital without major congenital abnormalities or severe perinatal illness. Birth weights and lengths were recorded at birth. Ponderal index (PI), body mass index (BMI), and mid-arm/head circumference (MAC/HC) ratio were calculated and the values were compared with standard curves. The CAN score consisted of inspection and estimation of loss of subcutaneous tissues and muscles. FM was defined as CAN score <25. Data were analyzed using the Statistical Package for Social Sciences statistics software version 17.0. Results: Two hundred and eighty-two newborns were analyzed. FM was identified in 14.5%, 10.3%, 13.1%, and 2.8% of newborns using CAN score, PI, BMI, and MAC/HC ratio, respectively. Out of the FM babies identified by CAN score, PI, MAC/HC, and BMI identified 19.5%, 12.3%, and 53.7% of them as FM also. BMI was the most sensitive anthropometric index for detecting FM. Conclusion: CAN score is a simple clinical tool for identifying FM and when used in conjunction with BMI will enhance FM detection.


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