title: Paediatric index of mortality 3: an updated model for predicting mortality in pediatric intensive care*.
abstract: OBJECTIVE
  To provide an updated version of the Paediatric Index of Mortality 2 for assessing the risk of mortality among children admitted to an ICU.
  
  
  METHODS
  International, multicenter, prospective cohort study.
  
  
  METHODS
  Sixty ICUs that accept pediatric admissions in Australia, New Zealand, Ireland, and the United Kingdom.
  
  
  METHODS
  All children admitted in 2010 and 2011 younger than 18 years old at the time of admission and either died in ICU or were discharged. Patients who were transferred to another ICU were not included. Fifty-three thousand one hundred twelve patient admissions were included in the analysis.
  
  
  METHODS
  None.
  
  
  RESULTS
  A revised prediction model was built using logistic regression. Variable selection was based on significance at the 95% level and overall improvement of the model's discriminatory performance and goodness of fit. The final model discriminated well (area under the curve, 0.88, 0.88-0.89); however, the model performed better in Australia and New Zealand than in the United Kingdom and Ireland (area under the curve was 0.91, 0.90-0.93 and 0.85, 0.84-0.86, respectively).
  
  
  CONCLUSIONS
  Paediatric Index of Mortality 3 provides an international standard based on a large contemporary dataset for the comparison of risk-adjusted mortality among children admitted to intensive care.
authors.affiliation: 1School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia. 2School of Population Health, The University of Queensland, Brisbane, QLD, Australia. 3Centre for Epidemiology and Biostatistics, University of Leeds, Leeds, United Kingdom. 4Birmingham Children's Hospital, Birmingham, United Kingdom. 5Royal Children's Hospital, Melbourne, VIC, Australia. 6Australian and New Zealand Intensive Care Society, Brisbane, QLD, Australia. 7Royal Children's Hospital, Brisbane, QLD, Australia.
authors.forename: Lahn
authors.initials: L
authors.lastname: Straney
authors.forename: Archie
authors.initials: A
authors.lastname: Clements
authors.forename: Roger C
authors.initials: RC
authors.lastname: Parslow
authors.forename: Gale
authors.initials: G
authors.lastname: Pearson
authors.forename: Frank
authors.initials: F
authors.lastname: Shann
authors.forename: Jan
authors.initials: J
authors.lastname: Alexander
authors.forename: Anthony
authors.initials: A
authors.lastname: Slater
mesh_terms: D000293:Adolescent; D001784:Blood Gas Analysis; D001794:Blood Pressure; D002648:Child; D002675:Child, Preschool; D005260:Female; D006305:Health Status Indicators; D017052:Hospital Mortality; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D007362:Intensive Care Units / Q000706:statistics & numerical data; D015278:Intensive Care Units, Pediatric / Q000706:statistics & numerical data*; D008297:Male; D015233:Models, Statistical; D017063:Outcome Assessment, Health Care; D010343:Patient Admission / Q000706:statistics & numerical data*; D011379:Prognosis; D011446:Prospective Studies; D012121:Respiration, Artificial; D018570:Risk Assessment