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Extended Sick Neonate Score (ESNS) for Clinical Assessment and Mortality Prediction in Sick Newborns referred to Tertiary Care

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Abstract

Objective

To evaluate utility of a new Extended Sick Neonate Score (ESNS). to predict ‘inhospital mortality’ and compare with Score for Neonatal Acute Physiology – Perinatal Extension II (SNAPPE II) and Sick Neonate Score (SNS).

Design

Prospective observational study.

Methods

All extramural sick newborns transported to the neonatology unit of a tertiary care teaching hospital over a period of one year. Correlation between ESNS, SNAPPE-II and SNS scoring, and sensitivity/specificity of each score to predict mortality were determined.

Results

961 newborns were enrolled in the study. ESNS, SNAPPE II and SNS were strongly correlated, even when stratified by gestation. ESNS of ≤11 had the best sensitivity (85.9%) and specificity (89.8%). For preterms, ESNS ≤12 had the best sensitivity (92.3%) and specificity (76.7%).

Conclusion

ESNS can predict ‘in-hospital mortality’ outcome with satisfactory sensitivity and specificity.

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References

  1. Lawn JE, Cousens S, Zupan J. 4 million neonatal deaths: When? Where? Why? Lancet. 2005;365:891–900.

    PubMed  Google Scholar 

  2. Mathur NB, Arora D. Role of TOPS (a simplified assessment of neonatal acute physiology) in predicting mortality in transported neonates. Acta Paediatr. 2007;96:172–5.

    Article  PubMed  CAS  Google Scholar 

  3. Dorling JS, Field DJ, Manktelow B. Neonatal disease severity scoring systems. Arch Dis Child Fetal Neonatal Ed. 2005;90:F11–6.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  4. Richardson DK, Corcoran JD, Escobar GJ, Lee SK. SNAPII and SNAPPE–II: simplified newborn illness severity and mortality risk scores. J Pediatr. 2001;138:92–100.

    Article  PubMed  CAS  Google Scholar 

  5. Rathod D, Adhisivam B, Bhat BV. Sick neonate score–a simple clinical score for predicting mortality of sick neonates in resource restricted settings. Indian J Pediatr. 2016;83:103–6.

    Article  PubMed  Google Scholar 

  6. Samanta M, Mondal R, Ray S, Sabui T, Hazra A, Kundu C, et al. Normative blood pressure data for Indian neonates. Indian Pediatr. 2015;52:669–73.

    Article  PubMed  Google Scholar 

  7. Lee SK, Aziz K, Dunn M, Clarke M, Kovacs L, Ojah C, et al. Canadian Neonatal Network Transport Risk Index of Physiologic Stability, version II (TRIPS–II): A simple and practical neonatal illness severity score. Am J Perinatol. 2013;30:395–400.

    PubMed  Google Scholar 

  8. Broughton SJ, Berry A, Jacobe S, Cheeseman P, Tarnow–Mordi WO, Greenough A for Neonatal Intensive Care Study Group. The mortality index for neonatal transportation score: A new mortality prediction model for retrieved neonates. Pediatrics. 2004;114:e424–8.

    Article  Google Scholar 

  9. Harsha SS, Archana BR. SNAPPE–II (Score for Neonatal Acute Physiology with Perinatal Extension–II) in predicting mortality and morbidity in NICU. J Clin Diagn Res. 2015;9:SC10–2.

    PubMed  PubMed Central  Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Neonatology, Institute of Postgraduate Medical Education and Research (IPGME&R), Kolkata, West Bengal, India

    Somosri Ray & Tapas Kumar Sabui

  2. Departments of Pediatric Medicine, Calcutta Medical College, Institute of Postgraduate Medical Education and Research (IPGME&R), Kolkata, West Bengal, India

    Rakesh Mondal, Kaushani Chatterjee & Moumita Samanta

  3. Department of Pharmacology, Institute of Postgraduate Medical Education and Research (IPGME&R), Kolkata, West Bengal, India

    Avijit Hazra

  4. Department of Pediatrics, Medical College, 88 College Street, Kolkata, 700 073, West Bengal, India

    Rakesh Mondal

Authors
  1. Somosri Ray
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  2. Rakesh Mondal
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  3. Kaushani Chatterjee
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  4. Moumita Samanta
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  5. Avijit Hazra
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  6. Tapas Kumar Sabui
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Corresponding author

Correspondence to Rakesh Mondal.

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Ray, S., Mondal, R., Chatterjee, K. et al. Extended Sick Neonate Score (ESNS) for Clinical Assessment and Mortality Prediction in Sick Newborns referred to Tertiary Care. Indian Pediatr 56, 130–133 (2019). https://doi.org/10.1007/s13312-019-1486-6

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  • DOI: https://doi.org/10.1007/s13312-019-1486-6

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