Publications by authors named "Suchita Parepalli"
Article Synopsis
- In low-resource settings, it’s hard to reliably determine a newborn's gestational age, increasing the risk for preterm babies, so a new assessment method was developed.
- The study aimed to evaluate how accurately a pictorial Simplified Gestational Age Score app could identify prematurity in newborns, beyond just using birthweight.
- Results showed strong agreement between assessors and identified an optimal score cut-off of 13 for predicting preterm births, achieving 90% specificity but variable sensitivity of 40-50%, with predictive accuracy between 74%-79%.
Background: Although rates of preterm birth continue to increase globally, identification of preterm from low birth weight infants remains a challenge. The burden of low birth weight vs preterm is greatest in resource-limited settings, where gestational age (GA) prior to delivery is frequently not known because ultrasound in early pregnancy is not available and estimates of the date of the mother's last menstrual period (LMP) may not be reliable. An alternative option is to assess GA at birth to optimize referral and care of preterm newborns.
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