Literature DB >> 11907665

Scoring systems in pediatric intensive care: PRISM III versus PIM.

Reinoud J Gemke1, JohannesA van Vught.   

Abstract

OBJECTIVE: To compare the performance of two different clinical scoring systems that were developed to assess mortality probability in pediatric intensive care. DESIGN AND METHODS: Prospective cohort study in a multidisciplinary tertiary pediatric intensive care unit. The Pediatric Risk of Mortality score (PRISM III) and the Pediatric Index of Mortality (PIM) were collected for each patient. Standardized mortality rate (SMR), discrimination and calibration of both scoring systems were compared by goodness-of-fit tests and receiver operating characteristic (ROC) curves.
RESULTS: Data from 303 patients were collected over a 9-month period. Twenty patients (6.6%) died in the PICU. Expected mortality based on PRISM III (12 h) was 6.96% (SMR 0.95; 95% CI 0.68-1.23), based on PRISM III (24 h) was 6.95% (SMR 0.95; 0.67-1.22) and based on PIM was 7.5% (SMR 0.88; 0.55-1.20). Calibration by Hosmer-Lemeshow goodness-of-fit test showed for PRISM III (12 h) chi(2) (8) =10.8, p=0.21; for PRISM III (24 h) chi(2) (8) =13.3, p=0.21 and for the PIM score chi(2) (8) = 4.92, p=0.77. Discriminatory performance assessed by ROC curves showed an area under the curve of 0.78 (95% CI 0.67-0.89) for the PRISM III score both after 12 and 24 h and 0.74 (0.63-0.85) for the PIM score.
CONCLUSION: PRISM III and PIM scores are both adequate indicators of mortality probability for heterogeneous patient groups in pediatric intensive care. Possibly in larger studies (equivalence trial) a significant and relevant difference between these scores would be demonstrated.

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Year:  2002        PMID: 11907665     DOI: 10.1007/s00134-001-1185-2

Source DB:  PubMed          Journal:  Intensive Care Med        ISSN: 0342-4642            Impact factor:   17.440


  35 in total

1.  Are we doing a good job: PRISM, PIM and all that.

Authors:  F Shann
Journal:  Intensive Care Med       Date:  2002-01-12       Impact factor: 17.440

2.  Validation of pediatric index of mortality 2 (PIM2) in a single pediatric intensive care unit in Japan.

Authors:  Toshihiro Imamura; Satoshi Nakagawa; Ran D Goldman; Takeo Fujiwara
Journal:  Intensive Care Med       Date:  2012-01-20       Impact factor: 17.440

3.  Predicting Outcome in Mechanically Ventilated Pediatric Patients.

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4.  Applicability of the Australian and New Zealand Paediatric Intensive Care Registry diagnostic codes and Paediatric Index of Mortality 2 scoring system in a Croatian paediatric intensive care unit.

Authors:  Julije Mestrovic; Goran Kardum; Branka Polic; Ante Omazic; Luka Stricevic; Alan Sustic
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5.  Effect of training and strict guidelines on the reliability of risk adjustment systems in paediatric intensive care.

Authors:  Jolanda G van Keulen; Reinoud J B J Gemke; Kees H Polderman
Journal:  Intensive Care Med       Date:  2005-07-06       Impact factor: 17.440

6.  Prolonged stay at the paediatric intensive care unit associated with paediatric delirium.

Authors:  Inge A P Smeets; Eva Y L Tan; Helen G M Vossen; Piet L J M Leroy; Richel H B Lousberg; Jim van Os; Jan N M Schieveld
Journal:  Eur Child Adolesc Psychiatry       Date:  2009-09-27       Impact factor: 4.785

7.  Illness and end-of-life experiences of children with cancer who receive palliative care.

Authors:  Erica C Kaye; Courtney A Gushue; Samantha DeMarsh; Jonathan Jerkins; April Sykes; Zhaohua Lu; Jennifer M Snaman; Lindsay Blazin; Liza-Marie Johnson; Deena R Levine; R Ray Morrison; Justin N Baker
Journal:  Pediatr Blood Cancer       Date:  2017-12-08       Impact factor: 3.167

8.  Predictors of Location of Death for Children with Cancer Enrolled on a Palliative Care Service.

Authors:  Erica C Kaye; Samantha DeMarsh; Courtney A Gushue; Jonathan Jerkins; April Sykes; Zhaohua Lu; Jennifer M Snaman; Lindsay J Blazin; Liza-Marie Johnson; Deena R Levine; R Ray Morrison; Justin N Baker
Journal:  Oncologist       Date:  2018-05-04

9.  The factors associated with high-quality communication for critically ill children.

Authors:  Jennifer K Walter; Brian D Benneyworth; Michelle Housey; Matthew M Davis
Journal:  Pediatrics       Date:  2013-03       Impact factor: 7.124

Review 10.  Use of risk stratification indices to predict mortality in critically ill children.

Authors:  Maria Grazia Sacco Casamassima; Jose H Salazar; Dominic Papandria; James Fackler; Kristin Chrouser; Emily F Boss; Fizan Abdullah
Journal:  Eur J Pediatr       Date:  2013-03-23       Impact factor: 3.183

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