Prediction of mortality by pediatric risk of mortality (PRISM III) score in teriary care rural hospital in India

Authors

  • Ashish Varma Department of Pediatrics, JNMC, Sawangi (M), Wardha, Maharashtra, India
  • Sachin Damke Department of Pediatrics, JNMC, Sawangi (M), Wardha, Maharashtra, India
  • Revat Meshram Department of Pediatrics, JNMC, Sawangi (M), Wardha, Maharashtra, India
  • Jayant Vagha Department of Pediatrics, JNMC, Sawangi (M), Wardha, Maharashtra, India
  • Anjali Kher Department of Pediatrics, JNMC, Sawangi (M), Wardha, Maharashtra, India
  • Keta Vagha Department of Pediatrics, JNMC, Sawangi (M), Wardha, Maharashtra, India

DOI:

https://doi.org/10.18203/2349-3291.ijcp20170003

Keywords:

NICU, Pediatric mortality, PRISM III, PICU

Abstract

Background: The mortality in pediatric and neonatal critical care units can be predicted using scores. Prediction of mortality using (PRISM III) score in first 24 hours of admission in pediatric intensive care unit (PICU) and neonatal intensive care unit (NICU).

Methods: Pediatric cases below 14 years with necessary investigations admitted in PICU and neonates in NICU during the period 1st August 2009 to 31 July 2011. Post-operative and patients with malformations or malignancy were excluded. A prospective observational study carried out at tertiary care rural hospital having 10 bedded well equipped PICU and NICU each. In subjects fulfilling inclusion criteria, PRISM III score which includes 17 variables was calculated within 24 hours of admission. The outcome at discharge was determined as non-survival or survival.

Results: With increasing PRISM III score there was increase in mortality. PRISM III score offered a good discriminative power with the areas under the ROC curve > 0.86 (95% CI). Among different variables minimum systolic blood pressure, pupillary reflex, mental status (GCS), acidic pH, total co2, BUN, platelet count and PTT showed very high significant association with the mortality and Pco2, PaO2, temperature, potassium and creatinine showed significant association with mortality. Variables like Heart rate, Glucose, Alkaline pH and WBC count showed no significant association with the mortality.

Conclusions: PRISM III score can be effectively used as a reflector of severity of illness. 

References

Teres D, Lemeshow S. Using severity measures to describe high performance intensive care units. Crit Care Clin. 1993;9:543-54.

Shann F, Pearson G, Slater A, Wilkinson K. Paediatric index of mortality (PIM): a mortality prediction model for children in intensive care. Intensive Care Med. 1997;23:201-7.

Thukral A, Lodha R, Irshad M, Arora NK. Performance of pediatric risk of mortality (PRISM), pediatric index of mortality (PIM) and PIM2 in a pediatric intensive care unit in a developing country. Pediatr Crit Care Med. 2006;7:356-61.

Pollock MM, Patel KM. Frequency of variable measurement in 16 pediatric intensive care unit. Crit Care Med. 1996;24:74-7.

Bhatia RC, Singh D, Gautam A, Pooni PA, Shimar TS. NCPCC 2005 - Conference Abstracts. Pediatric Oncall. 2006;5:3.

Khilnani P, Sarma D, Singh R, Uttam R, Rajdev S, Makkar A, et al. Demographic profile and outcome analysis of a tertiary level pediatric intensive care unit. Indian J Pediatr. 2004;71:587-91.

KMS C, DKK Ng, Wong SF, Kwok KL, Chow PY. Assessment of the pediatric index of mortality (PIM) and the pediatric risk of mortality (PRISM) III score for prediction of mortality in a Pediatrics intensive care unit in Hong Kong. Hong Kong Med J. 2005;11:97-103.

Bilan N, Galehgolab BA, Emadaddin A, Shiva SH. Risk of mortality in pediatric intensive care unit, assessed by PRISM-III. Pak J Biol Sci. 2009;12:480-5.

Ponce AL. Simplified PRISM III score and outcome in the pediatric intensive care unit. Pediatr Intern. 2005;47:80-3.

Brady AR, Harrison D, Black S, Jones S, Rowan K, Pearson G, et al. Assessment and optimization of mortality prediction tools for admissions to pediatric intensive care in the United Kingdom. Pediatr. 2006;117:733-42.

Gemke RJ, Van Vught J. Scoring systems in pediatric intensive care: PRISM III versus PIM. Intensive Care Med. 2002;28(2):204-7.

Slater A, Shann F. The suitability of the pediatric index of mortality (PIM), PIM2, the pediatric risk of mortality (PRISM), and PRISM III for monitoring the quality of pediatric intensive care in Australia and New Zealand. Pediatr Crit Care Med. 2004;5(5):447-54.

Tan GH, Tan TH, Goh DYT, Yap HK. Risk factors for predicting mortality in a pediatrics intensive care unit. Ann Acad Med Singapore. 1998;27:813-8.

Pollack MM, Patel, Ruttiman. The PRISM III- acute physiology score (PRISM III- APS): a method of assessing physiologic instability for PICU patients. The J Pediatr. 1997;131:575-81.

Tibby SM, Taylor D, Festa M. A comparison of three scoring systems for mortality risk among retrieved intensive care patients. Arch Dis Child. 2002;87:421-5.

Ozer EA, Kizilgunesler A, Sarioglu B, Halicioglu O, Sutcuoglu S, Yaprak I. The Comparison of PRISM and PIM Scoring Systems for Mortality Risk in Infantile Intensive Care. J Trop Pediatr. 2004;50:334-8.

Downloads

Published

2017-02-22

Issue

Section

Original Research Articles