The Effectiveness of the ‘Extended Sick Neonatal Score in Predicting Mortality in a ResourceConstrained Neonatal Care Uni
Objectives: To determine the diagnostic accuracy of the extended sick neonatal score (ESNS) in neonates admitted in a resource-limited neonatal intensive care unit (NICU) at Peshawar. Study Design: Cross-sectional analytical study Place and Duration of Study: Neonatal Intensive Care Unit, CMH...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Army Medical College Rawalpindi
2023-02-01
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| Series: | Pakistan Armed Forces Medical Journal |
| Subjects: | |
| Online Access: | https://www.pafmj.org/index.php/PAFMJ/article/view/6880 |
| _version_ | 1827976610507128832 |
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| author | Romisa Rehman Asma Razzaq Asad Maqbool Ahmad Zarlish Rehman Roshaan Rehman Saad Ateeq |
| author_facet | Romisa Rehman Asma Razzaq Asad Maqbool Ahmad Zarlish Rehman Roshaan Rehman Saad Ateeq |
| author_sort | Romisa Rehman |
| collection | DOAJ |
| description |
Objectives: To determine the diagnostic accuracy of the extended sick neonatal score (ESNS) in neonates admitted in a resource-limited neonatal intensive care unit (NICU) at Peshawar.
Study Design: Cross-sectional analytical study
Place and Duration of Study: Neonatal Intensive Care Unit, CMH Peshawar Pakistan, from Mar to May 2020.
Methodology: Primary data was collected from 60 neonates admitted to NICU after taking consent from the parents. The receiver operating characteristic curve (ROC) was plotted to determine the clinical score (ESNS) cut-off value in predicting mortality.
Result: The sensitivity and specificity of the Extended sick neonatal score to predict mortality among neonates was 93.3% and 97%, respectively, for a cut-off of 12.5. The area under the ROC curve was 0.990 (95% CI: 0.971–1.000). This was statistically significant with a p-value of <0.001
Conclusion: Extended Sick Neonatal score is an important tool that helps predict the risk of mortality of a neonate without the help of any invasive diagnostic procedure, thus enhancing the prioritization of health care to the most deserving neonates.
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| first_indexed | 2024-04-09T20:38:15Z |
| format | Article |
| id | doaj.art-ba7e5770f7404d368009d7bc0ce7ac8d |
| institution | Directory Open Access Journal |
| issn | 0030-9648 2411-8842 |
| language | English |
| last_indexed | 2024-04-09T20:38:15Z |
| publishDate | 2023-02-01 |
| publisher | Army Medical College Rawalpindi |
| record_format | Article |
| series | Pakistan Armed Forces Medical Journal |
| spelling | doaj.art-ba7e5770f7404d368009d7bc0ce7ac8d2023-03-30T06:25:12ZengArmy Medical College RawalpindiPakistan Armed Forces Medical Journal0030-96482411-88422023-02-0173110.51253/pafmj.v73i1.6880The Effectiveness of the ‘Extended Sick Neonatal Score in Predicting Mortality in a ResourceConstrained Neonatal Care UniRomisa Rehman0Asma Razzaq1Asad Maqbool Ahmad2Zarlish Rehman3Roshaan Rehman4Saad Ateeq5Combined Military Hospital Peshawar/ National University of Medical Sciences (NUMS) PakistanCombined Military Hospital Peshawar/ National University of Medical Sciences (NUMS) PakistanCombined Military Hospital Peshawar/ National University of Medical Sciences (NUMS) PakistanKhyber Teaching Hospital Peshawar PakistanKabir Medical College Peshawar PakistanCombined Military Hospital Peshawar/ National University of Medical Sciences (NUMS) Pakistan Objectives: To determine the diagnostic accuracy of the extended sick neonatal score (ESNS) in neonates admitted in a resource-limited neonatal intensive care unit (NICU) at Peshawar. Study Design: Cross-sectional analytical study Place and Duration of Study: Neonatal Intensive Care Unit, CMH Peshawar Pakistan, from Mar to May 2020. Methodology: Primary data was collected from 60 neonates admitted to NICU after taking consent from the parents. The receiver operating characteristic curve (ROC) was plotted to determine the clinical score (ESNS) cut-off value in predicting mortality. Result: The sensitivity and specificity of the Extended sick neonatal score to predict mortality among neonates was 93.3% and 97%, respectively, for a cut-off of 12.5. The area under the ROC curve was 0.990 (95% CI: 0.971–1.000). This was statistically significant with a p-value of <0.001 Conclusion: Extended Sick Neonatal score is an important tool that helps predict the risk of mortality of a neonate without the help of any invasive diagnostic procedure, thus enhancing the prioritization of health care to the most deserving neonates. https://www.pafmj.org/index.php/PAFMJ/article/view/6880Neonatal mortalityNeonatal intensive careNeonatal score |
| spellingShingle | Romisa Rehman Asma Razzaq Asad Maqbool Ahmad Zarlish Rehman Roshaan Rehman Saad Ateeq The Effectiveness of the ‘Extended Sick Neonatal Score in Predicting Mortality in a ResourceConstrained Neonatal Care Uni Pakistan Armed Forces Medical Journal Neonatal mortality Neonatal intensive care Neonatal score |
| title | The Effectiveness of the ‘Extended Sick Neonatal Score in Predicting Mortality in a ResourceConstrained Neonatal Care Uni |
| title_full | The Effectiveness of the ‘Extended Sick Neonatal Score in Predicting Mortality in a ResourceConstrained Neonatal Care Uni |
| title_fullStr | The Effectiveness of the ‘Extended Sick Neonatal Score in Predicting Mortality in a ResourceConstrained Neonatal Care Uni |
| title_full_unstemmed | The Effectiveness of the ‘Extended Sick Neonatal Score in Predicting Mortality in a ResourceConstrained Neonatal Care Uni |
| title_short | The Effectiveness of the ‘Extended Sick Neonatal Score in Predicting Mortality in a ResourceConstrained Neonatal Care Uni |
| title_sort | effectiveness of the extended sick neonatal score in predicting mortality in a resourceconstrained neonatal care uni |
| topic | Neonatal mortality Neonatal intensive care Neonatal score |
| url | https://www.pafmj.org/index.php/PAFMJ/article/view/6880 |
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