Modified Sick Neonatal Score (MSNS) in Predicting the Outcome of Neonates in Tertiary Care Hospital

Abstract

Introduction: Neonatal disease severity scoring systems are widely used to predict severity of illness. Existing scoring systems contain variables like pH, PO2 / FiO2 ratio, and base excess, which are difficult to obtain in resource-limited settings. Modified sick neonatal score (MSNS) is based on eight clinical variables which are easy to calculate and are also accurate enough at the same time. This study was done to evaluate MSNS for predicting the outcome of neonates in our settings.
 Methods: This was prospective observational study done at neonatal intensive care unit (NICU) of tertiary care hospital in Nepal from February 2021 to January 2022. The parameters required for the score were recorded at admission. Total score was calculated and outcome was noted. Data collected was analyzed using SPSS Statistics for Windows, v21.0. Chi square test, Mann-Whitney U test and ROC analysis were used for statistical analysis.
 Results: Total of 195 neonates were discharged and 37 expired. The mean MSNS score among expired was 8.16 ± 1.625 and discharged was 10.99 ± 1.753. For a cutoff score of ≤ 10, sensitivity and specificity; Positive and negative predictive value were 89.2% and 60.5%; 30.7% and 98.3% respectively. The area under the curve (AUC) of MSNS was 0.875 (CI 95%; 0.817 - 0.934). Lower MSNS score was also associated with requirement of iontrope and ventilator support.
 Conclusions: MSNS can be used as an important clinical tool for predicting the severity of disease in neonates in resource limited settings.