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Updated: Jun 17, 2026
Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale
Published on: August 25, 2014
A novel scoring system (YASHMA) predicting brain injury in asphyxiated newborns
Sarkhan Elbayiyev1, Tevfik Çevirici1, Ahmet Alptuğ Güngör1
1University of Health Sciences, Ankara City Hospital, Department of Neonatology, Ankara 06800, Turkey.
Background:
Hypoxic-ischemic encephalopathy is a complication of adverse intrapartum events and birth asphyxia resulting in brain injury and mortality in late preterm and term newborns.
Objectives:
In this study, we aimed to predict brain damage on magnetic resonance imaging (MRI) with a new scoring system.
Methods:
Yieldly And Scorable Holistic Measuring of Asphyxia (YASHMA) is generated for detection of brain injury in asphyxiated newborns. Total scores were calculated according to scores of birth weight, gestation weeks, APGAR scores at first and fifth minutes, aEEG patterns and epileptic status of patients. The major outcome of the scoring system was to determine correlation between poor scores and neonatal brain injury detected on MRI.
Results:
In hypothermia group with brain injury, low gestational weeks and lowest APGAR scores, abnormal aEEG findings were statistically different from others. YASHMA scores were statistically significant with high sensitivity, specificity, AUC and 95% confidence interval values.
Conclusions:
YASHMA scoring system is feasible and can be suggestive for detecting brain injury in low-income countries.
