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Fetal malnutrition is an important contributor to perinatal mortality and morbidity.This  study  was  aimed to  assess the  nutritional status of  the  newborn at  birth  using ClinicalAssessment of Nutrition (CAN score) and compare it with other conventional anthropometric indices.In  addition to  studying maternal variables associated with  fetal  malnutrition. Material andMethods: This prospective study was conducted at Sub-District hospital, Uttarakhand for a 3-monthduration  from  June  2020 to  August 2020. Total  765  term, singleton newborn  without majorcongenital malformation or comorbidities were included in the study. Anthropometric indices andCAN score were assessed and compared. Results: The incidence of fetal malnutrition was 17.39%using the  CAN  score. Fetal  malnutrition was  detected in  133(17.3%), 65(8.5%), 141(18.4%),91(11.8%), 85(11.1%)  of  newborn using  CAN  score, PI,  Gestational age,  BMI,  and  MAC/HCrespectively. Out of clinically malnourished babies identified by CAN score, PI, gestational age, BMIand MAC/HC identified 49.23% (32), 76.6% (108), 56.04%(51), 49.41%(42) as fetal malnutrition.BMI has the highest sensitivity and diagnostic accuracy for detecting fetal malnutrition. Maternalvariables associated with  FM  include early maternal age  during conception 81.4% (623),primigravida  33.1% (112), anemia (21%),  irregular antenatal checkups (40%) and  concurrentillnesses (PIH,  urinary tract  infection, heart disease, renal  disease, vascular disease) (50.9%).Conclusion: CAN score is a simple, handy and cost-effective tool to identify FM. Using BMI with CANscore can serve for screening FM. Among maternal variables, primigravida (33.1), anemia (21.5%),irregular antenatal checkup (40.25%), Concurrent medical illnesses (50.96%) is strongly associatedwith FM. Maternal age is not statistically significant.

Comparative Assessment of Fetal Malnutrition by Anthropometry and CAN Score with associated maternal factors in Sub-District hospital of Uttarakhand