Abstract
Introduction: Fetal Malnutrition is one of the major determinants of neonatal outcomes, especially in under privileged communities. Assessment may be tedious, expensive and often eating into resources limiting its effective management. CAN scoring emerging as a promising simple and cost effective tool needs validation before wide spread adoption. Materials and Methods: We carried out a Prospective Study of 3 months duration between 1st November 2018 and 31st January 2019 at our Hospital, a tertiary care centre with neonatal intensive care unit (NICU) in South India. Results: Total number of newbornin our study was 104. The incidence of malnutrition according to CAN Score is 29.8%, Ponderal Index 12.5%, Weight for Gestational Age is 13.5% and Body Mass Index is 14.4%. The Sensitivity, Specificity and Positive Predictive Value of CANS are 83.87%, 79.45%, 63.41%, which are high and are statistically Significant. Conclusion: CAN Score appear to be a Simple and Cheap Tool to accurately assess Neonatal Malnutrition.
Highlights
Fetal Malnutrition is one of the major determinants of neonatal outcomes, especially in under privileged communities
The term fetal malnutrition was coined by Scott and Usher in 1966 which is defined as soft tissue wasting at birth and failure to acquire quantum of fat & muscle mass during intrauterine growth [1]
The aim of this study is to identify the incidence of fetal malnutrition and to compare CAN score with other assessment tools
Summary
Fetal Malnutrition is one of the major determinants of neonatal outcomes, especially in under privileged communities. Assessment may be tedious, expensive and often eating into resources limiting its effective management. Materials and Methods: We carried out a Prospective Study of 3 months duration between 1st November 2018 and 31st January 2019 at our Hospital, a tertiary care centre with neonatal intensive care unit (NICU) in South India. Conclusion: CAN Score appear to be a Simple and Cheap Tool to accurately assess Neonatal Malnutrition. Fetal malnutrition is a major determinant of Neonatal Outcomes especially in under privileged communities [2]. The assessment of fetal malnutrition may be tedious, expensive and often eating into resources limiting its effective management. The common methods of assessment are based on Anthropometry, Proportional indices and Clinical assessment [3]
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