Comparing neonatal intensive care unit outcomes of intramural and extramural neonates using the modified sick neonate score

Authors

  • Kritika Naithani Department of Pediatrics, GMERS Medical College, Gotri, Vadodara, Gujarat, India
  • Sharanya Tripathi Department of Pediatrics, GMERS Medical College, Gotri, Vadodara, Gujarat, India
  • Hirva Trivedi Children’s Hospital of Philadelphia, Philadelphia, PA, USA
  • Nimisha K. Pandya Department of Pediatrics, GMERS Medical College, Gotri, Vadodara, Gujarat, India

DOI:

https://doi.org/10.18203/2349-3291.ijcp20232861

Keywords:

MSNS, Sick neonate score, Neonatal mortality scoring, Outcomes, Intramural, Extramural

Abstract

Background: India contributes to one-fifth of the world’s annual childbirths and one-fourth of the neonatal mortality burden, with rural areas having higher mortality rates. Several scoring systems have been used to independently predict neonatal outcomes in babies born elsewhere and transported to a facility (extramural) and in the inborn or intramural neonates. We used the modified sick neonate score (MSNS) to compare the outcomes in extramural and intramural neonates. The score considers eight parameters and quantitatively measures the neonates’ status. This study aimed to determine whether the MSNS effectively predicts mortality among the two study groups.

Methods: 410 neonates were considered for this prospective analytical study conducted at GMERS Hospital, Vadodara, a tertiary care center- over a duration of 20 months. Neonates were followed during their NICU stay, and outcomes were correlated with their scores recorded on admission.

Results: The intramural newborns had higher MSNS than the extramural neonates (13 and 12, respectively), with the difference statistically significant. At an optimal cut-off of <11, MSNS has a sensitivity of 85.11% and a specificity of 75.76% in predicting neonatal outcomes. The AUC was 0.859 (95% CI:0.822 to 0.891) with a positive predictive value of 31.2%, a negative predictive value of 97.5%, and an accuracy of 76.83%.

Conclusions: The MSNS effectively predicts mortality among intramural and extramural neonates, with the range being higher for inborn babies- indicating a better prognosis.

References

UNICEF India. Key data. Available at: https://www.unicef.org/india/key-data. Accessed on 21 July 2023.

National Family Health Survey (NFHS-5), 2019-21 for India. Available at: https://main.mohfw. gov.in/sites/default/files/NFHS-5_Phase-II_0.pdf. Accessed on 17 July 2023.

Neonatal mortality - UNICEF DATA. Available at: https://data.unicef.org/topic/child-survival/neonatal-mortality/#:~:text=The%20first%2028%20days%20of,1%2C000%20live%20births%20in%201990. Accessed on 21 July 2023.

Ministry of Health & Family Welfare. Government of India. Facility Based Newborn Operational Guide Delhi: Government of India; 2011. Available at: https://nhm.hp.gov.in/storage/app/media/uploaded-files/FBNC%20Operational_Guidelines%20for%20trg.pdf. Accessed on 17 July 2023.

National Health Mission. Janani Shishu Suraksha Karyakaram (JSSK). Available at: https://nhm. assam.gov.in/schemes/janani-shishu-suraksha-karyakaram#:~:text=Nutrition%20Committee%20(VHSNC)-,Janani%20Shishu%20Suraksha%20 Karyakram%20(JSSK),expense%20delivery%20including%20Caesarean%20section. Accessed on 17 July 2023.

Dorling JS. Neonatal disease severity scoring systems. Arch Dis Childhood Fetal Neonat Edition. 2005;90(1):F11-6.

Million Death Study Collaborators; Bassani DG, Kumar R, Awasthi S, Morris SK, Paul VK, et al. Causes of neonatal and child mortality in India: a nationally representative mortality survey. Lancet. 2010;376(9755):1853-60.

Chow S, Chow R, Popovic M, Lam M, Popovic M, Merrick J, et al. A Selected Review of the Mortality Rates of Neonatal Intensive Care Units. Front Public Health. 2015;3:225.

Ranjan A, Singh A. Pattern of morbidity and mortality of neonates admitted in tertiary level neonatal intensive care unit in Nalanda Medical College and Hospital, Patna, Bihar, India. Int J Contemp Pediatrics. 2016;3(3):854-7.

Cullen DJ, Civetta JM, Briggs BA, Ferrara LC. Therapeutic intervention scoring system. Crit Care Med. 1974;2(2):57-60.

Chheda A, Khadse S, Valvi C, Kulkarni R, Hiremath A. Importance of Temperature, Oxygen saturation, Perfusion, Sugar (TOPS) parameters and the concept of TOPS score for neonatal transport in India- a pilot project. Pediatric Oncall J. 2018;15(3):69-72.

Rathod D, Adhisivam B, Bhat VB. Sick Neonate Score - A Simple Clinical Score for Predicting Mortality of Sick Neonates in Resource Restricted Settings. Indian J Pediatrics. 2015;83(2):103-6.

Hermansen MC, Hasan S, Hoppin J, Cunningham MD. A validation of a scoring system to evaluate the condition of transported very low-birthweight neonates. Am J Perinatol. 1988;5:74-8.

Ray S, Mondal R, Chatterjee K, Samanta M, Hazra A, Sabui TK. Extended Sick Neonate Score (ESNS) for Clinical Assessment and Mortality Prediction in Sick Newborns referred to Tertiary Care. Indian Pediatr. 2019;56(2):130-3.

Mansoor KP, Ravikiran SR, Kulkarni V, Baliga K, Rao S, Bhat KG, et al. Modified Sick Neonatal Score (MSNS): A Novel Neonatal Disease Severity Scoring System for Resource-Limited Settings. Crit Care Res Pract. 2019;1-6.

Rathi Y. To study the clinical profile and early outcome of term asphyxiated newborns intramurally and extramurally in SNCU, Dr. Bram Hospital, Raipur, Chhattisgarh, India. Int J Pediatric Res. 2020;7(4):174-80.

Ravikumar SA, Elangovan H, Elayaraja K, Kanagavelu, Sunderavel AKK. Morbidity and mortality profile of neonates in a tertiary care centre in Tamil Nadu: a study from South India. Int J Contemp Pediatrics. 2018;5(2).

Ministry of Health and Family Welfare, Care of Small and Sick Newborns in Special Newborn Care Units (SNCUs) of India Two Year, Government of India, New Delhi, India. 2018. Available at: https://nhm.gov.in/images/pdf/programmes/child-health/annual-report/Two_Year_Progress_of_ SNCUs-A_Brief_Report_(2011-12_&_2012-13).pdf. Accessed on 17 July 2023.

Mondal T, Khatun M, Habibulla SK, Ray S, Hazra A, Ivan D, et al. Epidemiology of Newborn Transport in India - The Reality Check. Med J Dr. D.Y. Patil Vidyapeeth. 2021;14(3):308-13.

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

Ravikumar SP, Kaliyan A, Jeganathan S, Manjunathan R. Post-transport TOPS score as a predictive marker of mortality among transported neonates and its comparative analysis with SNAP-II PE. Heliyon. 2022;8(8):e10165.

Jayasheel A, Chandrasegaran B, Kumar VB, Babji NS. Evaluation of Modified Extended Sick Neonate Score to Predict In-Hospital Mortality among Newborns Admitted to Resource-Poor Settings in Rural India. Indian J Pediatr. 2023;90(4):341-7.

Adhisivam B. Transport of sick children: the Indian perspective. Indian J Emerg Pediatr. 2009;2:19-25.

Narang M, Kaushik JS, Sharma AK, Faridi MM. Predictors of mortality among the neonates transported to referral centre in Delhi, India. Indian J Public Health. 2013;57(2):100-4.

Broughton SJ, Berry A, Jacobe S, Cheeseman P, Tarnow-Mordi WO, Greenough A; Neonatal Intensive Care Unit Study Group. The mortality index for neonatal transportation score: a new mortality prediction model for retrieved neonates. Pediatrics. 2004;114(4):e424-8.

Downloads

Published

2023-09-21

Issue

Section

Original Research Articles