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JNMA J Nepal Med Assoc ; 56(209): 510-515, 2018.
Article in English | MEDLINE | ID: mdl-30058634

ABSTRACT

INTRODUCTION: To understand and report the prevalence of meconium aspiration syndrome and the clinico-radiological features in a tertiary care hospital of western Nepal. METHODS: An observational study carried out for a year in 2014-15 in all babies with MAS. Clinical and radiological profiles of MAS in relation to gender, gestational age, mode of delivery, birth weight, Apgar score, thickness of meconium, age at admission and the immediate outcome were studied. RESULTS: Out of 584 admitted newborns (male=389; female=186) during the study period, 78 (13.4%) had meconium aspiration syndrome with male: female ratio of 1.2:1. Majority of babies admitted to NICU had thick meconium [n=52 (66.7%)]. There was no statistical significant difference in various parameters such as Apgar score at 1 and 5 minutes, respiratory distress, birth asphyxia, duration of oxygen use, MAS severity and chest x-ray in those with thick MAS compared to thin. Among all newborns with MAS, 59% (n=46) had abnormal radiological findings with over two-folds in those with thick MAS (71.7%)] compared to thin (28%). Hyperinflation (47.8%), diffuse patchy infiltration (37%), consolidation (21.7%) collapse (8.7%), right lung fissure (6.5%) and pneumothorax (8.7%) were the abnormal radiological findings seen in MAS babies. The odds of having APGAR score at 1 minute at least 7 or more was twice unlikely in those having thick meconium compared to thin (P=0.02) Conclusions: Thick meconium is relatively common with more significant abnormal radiological findings and low Apgar score.


Subject(s)
Meconium Aspiration Syndrome , Radiography, Thoracic , Apgar Score , Asphyxia Neonatorum/epidemiology , Birth Weight , Female , Gestational Age , Humans , Infant, Newborn , Male , Meconium , Meconium Aspiration Syndrome/diagnosis , Meconium Aspiration Syndrome/epidemiology , Nepal/epidemiology , Radiography, Thoracic/methods , Radiography, Thoracic/statistics & numerical data , Risk Factors
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