Browsing by Author "Shah, Ganesh"
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Publication Modified Sick Neonatal Score (MSNS) in Predicting the Outcome of Neonates in Tertiary Care Hospital(Nepal Paediatric Society (JNPS), 2023) Twanbasu, Sajal; Amatya, Puja; Shah, GaneshAbstract: 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.Publication Neonatal Sequential Organ Failure Assessment Score to Predict Mortality in Neonatal Intensive Care Unit at Tertiary Care Center(Nepal APF Hospital, 2025) K.C., Ganesh; Shah, Ganesh; Chalise, Shiva Prasad; Shrestha, Bijesh; Shrestha, Sailesh; Gautam, Tilak; Khanal, IneshAbstract: Background: The Neonatal Sequential Organ Failure Assessment (nSOFA) score is a tool used to evaluate degree of organ dysfunction in critically ill neonates admitted to neonatal intensive care units (NICUs). The nSOFA score is based on respiratory, cardiac and hematological parameters (total score ranges from 0 to 15). This study aims to evaluate the applicability of nSOFA score to predict neonatal mortality in NICU of Patan Hospital. Methods: This prospective observational study was conducted at the NICU of Patan Hospital, Lalitpur, Nepal from May 2023 to November 2024. The parameters of nSOFA score were recorded at admission and between 48-72 hours of admission. Data were analyzed using EPI-INFO and Easy R software. Results: Among 134 neonates, 105 (78%) survived, and 29 (22%) did not. At admission, a nSOFA score ≥4 had a sensitivity of 69%, specificity of 91.4%, positive predictive value (PPV) of 69% and negative predictive value (NPV) of 91.4% for predicting mortality. At 48-72 hours, a cutoff score of ≥5 showed a sensitivity of 75.7%, specificity of 99%, PPV of 96.6% and NPV of 91.4%. Conclusion: The nSOFA score is a important tool for predicting neonatal mortality in NICUs and can be used to guide clinical decision-making.