scholarly journals Neonatal Foot Length: An Alternative Predictor of Low Birth Weight Babies in Rural India

Author(s):  
Amar M Taksande
2021 ◽  
Vol 8 (12) ◽  
pp. 1926
Author(s):  
Nitesh Upadhyay ◽  
Minhajuddin Ahmed

Background: Gestational age and birth weight is an important predicator for morbidity and mortality in neonates. Aim was to determine the correlation of foot length with birth weight and gestational age in neonates.Methods: This was a prospective observational study done in the neonatal unit department of pediatrics in Chirayu medical college and hospital, Bhopal. There were 1739 deliveries included during the study period from January 2016 to December 2020. Study group comprised of all live born babies delivered in within 24 hours of birth who fulfilled the inclusion criteria.Results: The study comprised of 1739 newborn babies, out of which 896 (51.51%) were males and 843 (48.49%) were females. Male:female ratio 1.06:1. In our study group, 337 (15.6%) babies were preterm and 1385 (84.39%) were of term gestation. We found a positive linear correlation of foot length with all birth weight groups in a newborn with a correlation coefficient (r=0.78) and p<0.001 was found. Similarly, a positive correlation of foot length and gestational age of newborn in both term and preterm babies with (r=0.83) with p<0.01. Foot length has 87.4% sensitivity and 91.7% specificity among low-birth-weight babies with respect to cut off foot length of 75.5 mm. Foot length has 78.7% sensitivity and 63.7% specificity among preterm babies.Conclusions: Foot length can be used as a screening tool to identify low birth weight (LBW) and preterm babies as it had a higher sensitivity and specificity.


2017 ◽  
Vol 4 (3) ◽  
pp. 979
Author(s):  
Gowri S. ◽  
Kumar G. V.

Background: Gestational age and birth weight are the two most useful parameters for assessing maturity of the newborn. Major causes of neonatal mortality are diseases associated with low birth weight babies (LBW). It has been shown that foot length measurement is particularly valuable in premature babies who are so ill that conventional anthropometric measurements cannot be carried out due to the incubator and intensive care apparatus. Methods: The cross-sectional study was conducted in the department of pediatrics Sri Siddhartha Medical College Hospital, Tumkur, India. The birth weight in grams and length of the foot were documented in centimeters. Data was collected using standard proforma.Results: A total of 600 neonates were studied of which, males were 54.67 % (328) and females were 45.33 % (272). The neonates weighing less than 2.5 kg had a mean foot length of 6.94. The mean foot length for neonates weighing between 2.5 to 3.5 was 7.68. The mean foot length for neonates weighing more than 3.5 kg was 8.2cm. The correlation coefficient of birth weight with foot length was maximum in low birth weight babies (r= 0.94).Conclusions: The foot length is an efficient screening tool in identifying low birth weight babies. Foot length is a simple, quick and reliable anthropometric measurement which can be used as a proxy measurement to birth weight especially in sick and pre-term neonates receiving intensive care. 


2020 ◽  
Vol 2 (2) ◽  
pp. 66-71
Author(s):  
Parti ◽  
Sumiati Malik ◽  
Nurhayati

Most causes of infant death are problems that occur in newborn/neonatal (0-28 days old), Low Birth Weight Babies (LBW) is one of the factors which has a contribution to infant mortality, especially in the neonatal period. Infant Mortality Rate (IMR) is a benchmark in determining the degree of public health, both at the National and Provincial levels. This study aimed to determine the effect of the Kangaroo Mother Care Method (KMC) on the prevention of hypothermia in low birth weight infants at Morowali District Hospital in 2019. The type of research used was a quasi-experiment. The population is all low birth weight babies born from May to July 2019. The sample in this study was all newborns with low birth weight born from May to July 2019, totaling 30 babies. There is a difference (influence) on the baby's body temperature before and after KMC with a p-value=0,000. The kangaroo mother care can continue to be affiliated considering its benefits for both infants and mothers, as well as increasing the ability of health workers in conducting KMC so that they can provide in-house training for mothers to be carried out at home.


Author(s):  
K. Famra ◽  
P. Barta ◽  
A. Aggarwal ◽  
B.D. Banerjee

OBJECTIVES: Neonatal seizures are significant cause of neonatal mortality and morbidity. Current study was planned to study prevalence of adverse outcomes in neonatal seizures and identify its predictors. METHODS: This observational descriptive study was carried out on 220 neonates with seizures. Neonates who succumbed to illness/ death before investigations, or whose maternal records were incomplete were excluded. Blood sugar, serum calcium, serum electrolytes, and USG skull were done in all patients. CT scan, MRI and inborn errors of metabolism profile were done as and when indicated. Adverse outcomes were defined as death, phenobarbitone non responders, or abnormal examination at discharge. Antenatal, perinatal and neonatal predictors of adverse outcomes in neonatal seizures were evaluated. RESULTS: Out of 220 neonates with seizures 76(34.5%) had adverse outcomes. Very low birth weight babies (≤1500 gm) [OR 1.27(CI 0.57–2.84)], microcephaly [OR 5.93 (CI 0.55–64.41)], Apgar score≤3 at 5 minutes [OR 11.28(CI 14.18–30.45)], seizure onset within 24 hours [OR 5.99(CI 12.43–14.78)], meningitis [OR 2.63(CI 0.08–6.39)], septicemia [OR1.22(CI 0.45–3.31)] and abnormal cranial USG [OR 7.95(CI 12.61–24.22)] were significant predictors of adverse outcomes in neonates with seizures. CONCLUSION: Prematurity, very low birth weight, birth asphyxia, meningitis, septicemia and abnormal USG could predict adverse outcomes in neonatal seizures. Improved antenatal and neonatal clinical practices may help reduce adverse outcomes in these patients.


2021 ◽  
Author(s):  
Hnin Pwint Oo ◽  
Nyan Sin Htun ◽  
Nay Aung ◽  
Nilar Lwin

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