Volume 11, Issue 1 (2025)
CJP 2025, 11(1): e11 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Kousika K, Devimeenakshi K. Serial Modified Sick Neonatal Score as a Tool for Predicting Neonatal Mortality: An Observational Study at a Single Center. CJP 2025; 11 (1) : e11
URL: http://caspianjp.ir/article-1-254-en.html
URL: http://caspianjp.ir/article-1-254-en.html
Professor of Pediatrics, Department of Pediatrics, Kilpauk Medical College, India , drdevi_1804@yahoo.in
Abstract: (882 Views)
Background and Objective: Newborn disease scoring improves outcomes but requires arterial blood gas analysis, often unavailable in limited settings. The aim of this study was to determine whether cost-effective alternatives, such as the Modified Sick Neonatal Score (MSNS), can predict neonatal mortality.
Methods: This cross-sectional study was conducted on the neonates who required admission to the neonatal intensive care unit (NICU) of a Medical College Hospital from February 2021 to September 2021. MSNS was done on admission, daily for 7 days and during the period of clinical deterioration. The mean (standard deviation (SD)) values at admission and the lowest recorded value were compared with the outcome. A receiver-operating characteristic curve (ROC) analysis was performed to determine the optimal cut-off value for predicting mortality.
Findings: The mortality rate was 4.58%. The mean (SD) MSNS at admission of deceased neonates [9.04(1.612)] was significantly lower than that of improved neonates [14.68(1.610)]. The mean (SD) lowest MSNS for deceased neonates [6.23(1.177)] was significantly lower than that for improved neonates [14.5(1.893)]. The area under the curve (AUC) for admission score was 0.958, and a score of 12 predicted mortality with a sensitivity of 91% and a specificity of 95.2%. The AUC for the lowest score was 0.995, and a score of 9 had a sensitivity of 94% and a specificity of 99% for predicting mortality.
Conclusion: Serial MSNS is a good predictor of mortality, and low scores on admission and the lowest score during hospitalization correlated well with poor outcomes.
Methods: This cross-sectional study was conducted on the neonates who required admission to the neonatal intensive care unit (NICU) of a Medical College Hospital from February 2021 to September 2021. MSNS was done on admission, daily for 7 days and during the period of clinical deterioration. The mean (standard deviation (SD)) values at admission and the lowest recorded value were compared with the outcome. A receiver-operating characteristic curve (ROC) analysis was performed to determine the optimal cut-off value for predicting mortality.
Findings: The mortality rate was 4.58%. The mean (SD) MSNS at admission of deceased neonates [9.04(1.612)] was significantly lower than that of improved neonates [14.68(1.610)]. The mean (SD) lowest MSNS for deceased neonates [6.23(1.177)] was significantly lower than that for improved neonates [14.5(1.893)]. The area under the curve (AUC) for admission score was 0.958, and a score of 12 predicted mortality with a sensitivity of 91% and a specificity of 95.2%. The AUC for the lowest score was 0.995, and a score of 9 had a sensitivity of 94% and a specificity of 99% for predicting mortality.
Conclusion: Serial MSNS is a good predictor of mortality, and low scores on admission and the lowest score during hospitalization correlated well with poor outcomes.
Article number: e11
Send email to the article author
| Rights and Permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
