Literature DB >> 9710104

Pediatric risk of mortality: an assessment of its performance in a sample of 26 Italian intensive care units.

G Bertolini1, D Ripamonti, A Cattaneo, G Apolone.   

Abstract

OBJECTIVE: To assess the validity of the Pediatric Risk of Mortality (PRISM) scoring system in accurately predicting the probability of mortality in an Italian intensive care unit (ICU) sample.
DESIGN: Prospective, observational, multicenter study.
SETTING: Twenty-six Italian ICUs classified into two groups: a) ICUs specifically dedicated to treating pediatric patients; and b) adult ICUs treating children on a regular basis. PATIENTS: Consecutive patients (n = 1,533) <15 yrs of age admitted during 1 yr.
INTERVENTIONS: None.
MEASUREMENTS AND MAIN RESULTS: To assess the performance of the PRISM scoring system, the discrimination and calibration measures were adopted both in the whole population and in 12 preselected subgroups. A good discrimination capability of the scoring system was observed for both the whole population and subgroups (areas under the receiver operating characteristic curves were never <0.82). On the other hand, we documented an unsatisfactory calibration capability in the whole population and in most subgroups (p values of the Hosmer-Lemeshow goodness-of-fit test were <.001 in all but two subgroups).
CONCLUSIONS: The analyses suggest that the unsatisfactory calibration of PRISM can be attributed to various reasons. Among those reasons, a poor performance of the system, as well as its sensitivity to factors not connected to clinical ICU performance, seem particularly important. A special caution is needed in adopting a severity of illness scoring system to assess quality of care, particularly in contexts different from the one in which the instrument was originally developed.

Entities:  

Mesh:

Year:  1998        PMID: 9710104     DOI: 10.1097/00003246-199808000-00031

Source DB:  PubMed          Journal:  Crit Care Med        ISSN: 0090-3493            Impact factor:   7.598


  9 in total

1.  Performance of PRISM (Pediatric Risk of Mortality) score and PIM (Pediatric Index of Mortality) score in a tertiary care pediatric ICU.

Authors:  Roshani N Taori; Keya R Lahiri; Milind S Tullu
Journal:  Indian J Pediatr       Date:  2010-02-22       Impact factor: 1.967

2.  Demographic profile and outcome analysis of pediatric intensive care patients.

Authors:  E Volakli; M Sdougka; M Tamiolaki; C Tsonidis; M Reizoglou; M Giala
Journal:  Hippokratia       Date:  2011-10       Impact factor: 0.471

3.  Outcome of children admitted to adult intensive care units in Italy between 2003 and 2007.

Authors:  Paola E Cogo; Daniele Poole; Daniela Codazzi; Corinne Boniotti; Anna Capretta; Martin Langer; Davide Luciani; Carlotta Rossi; Guido Bertolini
Journal:  Intensive Care Med       Date:  2010-05-20       Impact factor: 17.440

Review 4.  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

5.  Pediatric Index of Mortality 2 score in Italy: a multicenter, prospective, observational study.

Authors:  Andrea Wolfler; Paolo Silvani; Massimo Musicco; Ida Salvo
Journal:  Intensive Care Med       Date:  2007-06-05       Impact factor: 17.440

6.  Comparison of the pediatric risk of mortality, pediatric index of mortality, and pediatric index of mortality 2 models in a pediatric intensive care unit in China: A validation study.

Authors:  Jun Qiu; Xiulan Lu; Kewei Wang; Yimin Zhu; Chao Zuo; Zhenghui Xiao
Journal:  Medicine (Baltimore)       Date:  2017-04       Impact factor: 1.889

7.  Accuracy of Pediatric Risk of Mortality (PRISM) III Score in Predicting Mortality Outcomes in a Pediatric Intensive Care Unit in Karachi.

Authors:  Sadiq Mirza; Laraib Malik; Jawad Ahmed; Farheen Malik; Hassaan Sadiq; Sanower Ali; Sina Aziz
Journal:  Cureus       Date:  2020-03-31

8.  Can generic paediatric mortality scores calculated 4 hours after admission be used as inclusion criteria for clinical trials?

Authors:  Stéphane Leteurtre; Francis Leclerc; Jessica Wirth; Odile Noizet; Eric Magnenant; Ahmed Sadik; Catherine Fourier; Robin Cremer
Journal:  Crit Care       Date:  2004-05-21       Impact factor: 9.097

9.  Clinical outcome and predictors of mortality in children with sepsis, severe sepsis, and septic shock from Rohtak, Haryana: A prospective observational study.

Authors:  Gurpreet Kaur; Nikhil Vinayak; Kundan Mittal; Jaya Shankar Kaushik; Mohammad Aamir
Journal:  Indian J Crit Care Med       Date:  2014-07
  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.