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author Genu, Daniel Hilário Santos
Lima-Setta, Fernanda
Colleti, José
de Souza, Daniela Carla
Gama, Sérgio D’Abreu
Massaud-Ribeiro, Letícia
Pistelli, Ivan Pollastrini
Proença Filho, José Oliva
Bernardi, Thaís de Mello Cesar
de Castilho, Taísa Roberta Ramos Nantes
Clemente, Manuela Guimarães
Borsetto, Cibele Cristina Manzoni Ribeiro
de Oliveira, Luiz Aurelio
Alves, Thallys Ramalho Suzart
Pedroso, Diogo Botelho
La Torre, Fabíola Peixoto Ferreira
Borges, Lunna Perdigão
Santos, Guilherme
de Mello e Silva, Juliana Freitas
de Magalhães-Barbosa, Maria Clara
da Cunha, Antonio José Ledo Alves
Soares, Marcio
Prata-Barbosa, Arnaldo
author_facet Genu, Daniel Hilário Santos
Lima-Setta, Fernanda
Colleti, José
de Souza, Daniela Carla
Gama, Sérgio D’Abreu
Massaud-Ribeiro, Letícia
Pistelli, Ivan Pollastrini
Proença Filho, José Oliva
Bernardi, Thaís de Mello Cesar
de Castilho, Taísa Roberta Ramos Nantes
Clemente, Manuela Guimarães
Borsetto, Cibele Cristina Manzoni Ribeiro
de Oliveira, Luiz Aurelio
Alves, Thallys Ramalho Suzart
Pedroso, Diogo Botelho
La Torre, Fabíola Peixoto Ferreira
Borges, Lunna Perdigão
Santos, Guilherme
de Mello e Silva, Juliana Freitas
de Magalhães-Barbosa, Maria Clara
da Cunha, Antonio José Ledo Alves
Soares, Marcio
Prata-Barbosa, Arnaldo
author_sort Genu, Daniel Hilário Santos
collection PubMed
description OBJECTIVE: To validate the PIM3 score in Brazilian PICUs and compare its performance with the PIM2. METHODS: Observational, retrospective, multicenter study, including patients younger than 16 years old admitted consecutively from October 2013 to September 2019. We assessed the Standardized Mortality Ratio (SMR), the discrimination capability (using the area under the receiver operating characteristic curve – AUROC), and the calibration. To assess the calibration, we used the calibration belt, which is a curve that represents the correlation of predicted and observed values and their 95% Confidence Interval (CI) through all the risk ranges. We also analyzed the performance of both scores in three periods: 2013–2015, 2015–2017, and 2017–2019. RESULTS: 41,541 patients from 22 PICUs were included. Most patients aged less than 24 months (58.4%) and were admitted for medical conditions (88.6%) (respiratory conditions = 53.8%). Invasive mechanical ventilation was used in 5.8%. The median PICU length of stay was three days (IQR, 2–5), and the observed mortality was 1.8% (763 deaths). The predicted mortality by PIM3 was 1.8% (SMR 1.00; 95% CI 0.94–1.08) and by PIM2 was 2.1% (SMR 0.90; 95% CI 0.83–0.96). Both scores had good discrimination (PIM3 AUROC = 0.88 and PIM2 AUROC = 0.89). In calibration analysis, both scores overestimated mortality in the 0%–3% risk range, PIM3 tended to underestimate mortality in medium-risk patients (9%–46% risk range), and PIM2 also overestimated mortality in high-risk patients (70%–100% mortality risk). CONCLUSIONS: Both scores had a good discrimination ability but poor calibration in different ranges, which deteriorated over time in the population studied.
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spelling pubmed-97952322022-12-29 Multicenter validation of PIM3 and PIM2 in Brazilian pediatric intensive care units Genu, Daniel Hilário Santos Lima-Setta, Fernanda Colleti, José de Souza, Daniela Carla Gama, Sérgio D’Abreu Massaud-Ribeiro, Letícia Pistelli, Ivan Pollastrini Proença Filho, José Oliva Bernardi, Thaís de Mello Cesar de Castilho, Taísa Roberta Ramos Nantes Clemente, Manuela Guimarães Borsetto, Cibele Cristina Manzoni Ribeiro de Oliveira, Luiz Aurelio Alves, Thallys Ramalho Suzart Pedroso, Diogo Botelho La Torre, Fabíola Peixoto Ferreira Borges, Lunna Perdigão Santos, Guilherme de Mello e Silva, Juliana Freitas de Magalhães-Barbosa, Maria Clara da Cunha, Antonio José Ledo Alves Soares, Marcio Prata-Barbosa, Arnaldo Front Pediatr Pediatrics OBJECTIVE: To validate the PIM3 score in Brazilian PICUs and compare its performance with the PIM2. METHODS: Observational, retrospective, multicenter study, including patients younger than 16 years old admitted consecutively from October 2013 to September 2019. We assessed the Standardized Mortality Ratio (SMR), the discrimination capability (using the area under the receiver operating characteristic curve – AUROC), and the calibration. To assess the calibration, we used the calibration belt, which is a curve that represents the correlation of predicted and observed values and their 95% Confidence Interval (CI) through all the risk ranges. We also analyzed the performance of both scores in three periods: 2013–2015, 2015–2017, and 2017–2019. RESULTS: 41,541 patients from 22 PICUs were included. Most patients aged less than 24 months (58.4%) and were admitted for medical conditions (88.6%) (respiratory conditions = 53.8%). Invasive mechanical ventilation was used in 5.8%. The median PICU length of stay was three days (IQR, 2–5), and the observed mortality was 1.8% (763 deaths). The predicted mortality by PIM3 was 1.8% (SMR 1.00; 95% CI 0.94–1.08) and by PIM2 was 2.1% (SMR 0.90; 95% CI 0.83–0.96). Both scores had good discrimination (PIM3 AUROC = 0.88 and PIM2 AUROC = 0.89). In calibration analysis, both scores overestimated mortality in the 0%–3% risk range, PIM3 tended to underestimate mortality in medium-risk patients (9%–46% risk range), and PIM2 also overestimated mortality in high-risk patients (70%–100% mortality risk). CONCLUSIONS: Both scores had a good discrimination ability but poor calibration in different ranges, which deteriorated over time in the population studied. Frontiers Media S.A. 2022-12-14 /pmc/articles/PMC9795232/ /pubmed/36589158 http://dx.doi.org/10.3389/fped.2022.1036007 Text en © 2022 Genu, Lima-Setta, Colleti, de Souza, Gama, Massaud-Ribeiro, Pistelli, Proença Filho, Bernardi, de Castilho, Clemente, Borsetto, de Oliveira, Alves, Pedroso, La Torre, Borges, Santos, Mello e Silva, de Magalhães-Barbosa, Alves da Cunha, Soares, Prata-Barbosa and and The Brazilian Research Network in Pediatric Intensive Care (BRnet-PIC). https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Pediatrics
Genu, Daniel Hilário Santos
Lima-Setta, Fernanda
Colleti, José
de Souza, Daniela Carla
Gama, Sérgio D’Abreu
Massaud-Ribeiro, Letícia
Pistelli, Ivan Pollastrini
Proença Filho, José Oliva
Bernardi, Thaís de Mello Cesar
de Castilho, Taísa Roberta Ramos Nantes
Clemente, Manuela Guimarães
Borsetto, Cibele Cristina Manzoni Ribeiro
de Oliveira, Luiz Aurelio
Alves, Thallys Ramalho Suzart
Pedroso, Diogo Botelho
La Torre, Fabíola Peixoto Ferreira
Borges, Lunna Perdigão
Santos, Guilherme
de Mello e Silva, Juliana Freitas
de Magalhães-Barbosa, Maria Clara
da Cunha, Antonio José Ledo Alves
Soares, Marcio
Prata-Barbosa, Arnaldo
Multicenter validation of PIM3 and PIM2 in Brazilian pediatric intensive care units
title Multicenter validation of PIM3 and PIM2 in Brazilian pediatric intensive care units
title_full Multicenter validation of PIM3 and PIM2 in Brazilian pediatric intensive care units
title_fullStr Multicenter validation of PIM3 and PIM2 in Brazilian pediatric intensive care units
title_full_unstemmed Multicenter validation of PIM3 and PIM2 in Brazilian pediatric intensive care units
title_short Multicenter validation of PIM3 and PIM2 in Brazilian pediatric intensive care units
title_sort multicenter validation of pim3 and pim2 in brazilian pediatric intensive care units
topic Pediatrics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9795232/
https://www.ncbi.nlm.nih.gov/pubmed/36589158
http://dx.doi.org/10.3389/fped.2022.1036007
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