Loading…
Multicenter validation of PIM3 and PIM2 in Brazilian pediatric intensive care units
To validate the PIM3 score in Brazilian PICUs and compare its performance with the PIM2. 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 d...
Saved in:
Published in: | Frontiers in pediatrics 2022-12, Vol.10, p.1036007-1036007 |
---|---|
Main Authors: | , , , , , , , , , , , , , , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | |
---|---|
cites | cdi_FETCH-LOGICAL-c417t-ff3b4dbae3322e4d4294c2943c353ef480ccb377451fdd4b46227adb7d6a83c3 |
container_end_page | 1036007 |
container_issue | |
container_start_page | 1036007 |
container_title | Frontiers in pediatrics |
container_volume | 10 |
creator | Genu, Daniel Hilário Santos Lima-Setta, Fernanda Colleti, Jr, 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 |
description | To validate the PIM3 score in Brazilian PICUs and compare its performance with the PIM2.
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.
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).
Both scores had a good discrimination ability but poor calibration in different ranges, which deteriorated over time in the population studied. |
doi_str_mv | 10.3389/fped.2022.1036007 |
format | article |
fullrecord | <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_c405b492104f4399b73d6dbba03065b1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_c405b492104f4399b73d6dbba03065b1</doaj_id><sourcerecordid>2760171392</sourcerecordid><originalsourceid>FETCH-LOGICAL-c417t-ff3b4dbae3322e4d4294c2943c353ef480ccb377451fdd4b46227adb7d6a83c3</originalsourceid><addsrcrecordid>eNpVkV1rHCEUhiU0JCHND-hN8bI3u1WPjuNNoQ39WEhooLkXP1PDrLPVmYX219fpbkMiiMfje56jvgi9oWQN0Kv3cRf8mhHG1pRAR4g8QReMqW7F2u7Vs_gcXdX6SNpQkggqztA5dKJXVPQX6MftPEzJhTyFgvdmSN5Macx4jPhucwvYZL8EDKeMPxXzJw3JZNxaJzOV5Fp6CrmmfcDOlIDnnKb6Gp1GM9RwdVwv0f2Xz_fX31Y3379urj_erBynclrFCJZ7awIAY4F7zhR3bYIDASHynjhnQUouaPSeW94xJo230nemb6JLtDlg_Wge9a6krSm_9WiS_pcYy4M2pb1tCNpxIixXjBIeOShlJfjOW2sIkE5Y2lgfDqzdbLfBL_9RzPAC-vIkp5_6YdxrJZVgwBrg3RFQxl9zqJPepurCMJgcxrlqJjtCJQW1SOlB6spYawnxqQ0lerFWL9bqxVp9tLbVvH1-v6eK_0bCX22Vn8g</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2760171392</pqid></control><display><type>article</type><title>Multicenter validation of PIM3 and PIM2 in Brazilian pediatric intensive care units</title><source>PubMed Central</source><creator>Genu, Daniel Hilário Santos ; Lima-Setta, Fernanda ; Colleti, Jr, 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</creator><creatorcontrib>Genu, Daniel Hilário Santos ; Lima-Setta, Fernanda ; Colleti, Jr, 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 ; Brazilian Research Network in Pediatric Intensive Care (BRnet-PIC) ; The Brazilian Research Network in Pediatric Intensive Care (BRnet-PIC)</creatorcontrib><description>To validate the PIM3 score in Brazilian PICUs and compare its performance with the PIM2.
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.
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).
Both scores had a good discrimination ability but poor calibration in different ranges, which deteriorated over time in the population studied.</description><identifier>ISSN: 2296-2360</identifier><identifier>EISSN: 2296-2360</identifier><identifier>DOI: 10.3389/fped.2022.1036007</identifier><identifier>PMID: 36589158</identifier><language>eng</language><publisher>Switzerland: Frontiers Media S.A</publisher><subject>benchmarking ; intensive care units ; mortality ; pediatric ; Pediatrics ; PIM3 ; validation study</subject><ispartof>Frontiers in pediatrics, 2022-12, Vol.10, p.1036007-1036007</ispartof><rights>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).</rights><rights>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). 2022 Genu, Lima-Setta, Colleti, de Souza, Gama, 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)</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c417t-ff3b4dbae3322e4d4294c2943c353ef480ccb377451fdd4b46227adb7d6a83c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9795232/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9795232/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36589158$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Genu, Daniel Hilário Santos</creatorcontrib><creatorcontrib>Lima-Setta, Fernanda</creatorcontrib><creatorcontrib>Colleti, Jr, José</creatorcontrib><creatorcontrib>de Souza, Daniela Carla</creatorcontrib><creatorcontrib>Gama, Sérgio D'Abreu</creatorcontrib><creatorcontrib>Massaud-Ribeiro, Letícia</creatorcontrib><creatorcontrib>Pistelli, Ivan Pollastrini</creatorcontrib><creatorcontrib>Proença Filho, José Oliva</creatorcontrib><creatorcontrib>Bernardi, Thaís de Mello Cesar</creatorcontrib><creatorcontrib>de Castilho, Taísa Roberta Ramos Nantes</creatorcontrib><creatorcontrib>Clemente, Manuela Guimarães</creatorcontrib><creatorcontrib>Borsetto, Cibele Cristina Manzoni Ribeiro</creatorcontrib><creatorcontrib>de Oliveira, Luiz Aurelio</creatorcontrib><creatorcontrib>Alves, Thallys Ramalho Suzart</creatorcontrib><creatorcontrib>Pedroso, Diogo Botelho</creatorcontrib><creatorcontrib>La Torre, Fabíola Peixoto Ferreira</creatorcontrib><creatorcontrib>Borges, Lunna Perdigão</creatorcontrib><creatorcontrib>Santos, Guilherme</creatorcontrib><creatorcontrib>de Mello E Silva, Juliana Freitas</creatorcontrib><creatorcontrib>de Magalhães-Barbosa, Maria Clara</creatorcontrib><creatorcontrib>da Cunha, Antonio José Ledo Alves</creatorcontrib><creatorcontrib>Soares, Marcio</creatorcontrib><creatorcontrib>Prata-Barbosa, Arnaldo</creatorcontrib><creatorcontrib>Brazilian Research Network in Pediatric Intensive Care (BRnet-PIC)</creatorcontrib><creatorcontrib>The Brazilian Research Network in Pediatric Intensive Care (BRnet-PIC)</creatorcontrib><title>Multicenter validation of PIM3 and PIM2 in Brazilian pediatric intensive care units</title><title>Frontiers in pediatrics</title><addtitle>Front Pediatr</addtitle><description>To validate the PIM3 score in Brazilian PICUs and compare its performance with the PIM2.
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.
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).
Both scores had a good discrimination ability but poor calibration in different ranges, which deteriorated over time in the population studied.</description><subject>benchmarking</subject><subject>intensive care units</subject><subject>mortality</subject><subject>pediatric</subject><subject>Pediatrics</subject><subject>PIM3</subject><subject>validation study</subject><issn>2296-2360</issn><issn>2296-2360</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNpVkV1rHCEUhiU0JCHND-hN8bI3u1WPjuNNoQ39WEhooLkXP1PDrLPVmYX219fpbkMiiMfje56jvgi9oWQN0Kv3cRf8mhHG1pRAR4g8QReMqW7F2u7Vs_gcXdX6SNpQkggqztA5dKJXVPQX6MftPEzJhTyFgvdmSN5Macx4jPhucwvYZL8EDKeMPxXzJw3JZNxaJzOV5Fp6CrmmfcDOlIDnnKb6Gp1GM9RwdVwv0f2Xz_fX31Y3379urj_erBynclrFCJZ7awIAY4F7zhR3bYIDASHynjhnQUouaPSeW94xJo230nemb6JLtDlg_Wge9a6krSm_9WiS_pcYy4M2pb1tCNpxIixXjBIeOShlJfjOW2sIkE5Y2lgfDqzdbLfBL_9RzPAC-vIkp5_6YdxrJZVgwBrg3RFQxl9zqJPepurCMJgcxrlqJjtCJQW1SOlB6spYawnxqQ0lerFWL9bqxVp9tLbVvH1-v6eK_0bCX22Vn8g</recordid><startdate>20221214</startdate><enddate>20221214</enddate><creator>Genu, Daniel Hilário Santos</creator><creator>Lima-Setta, Fernanda</creator><creator>Colleti, Jr, José</creator><creator>de Souza, Daniela Carla</creator><creator>Gama, Sérgio D'Abreu</creator><creator>Massaud-Ribeiro, Letícia</creator><creator>Pistelli, Ivan Pollastrini</creator><creator>Proença Filho, José Oliva</creator><creator>Bernardi, Thaís de Mello Cesar</creator><creator>de Castilho, Taísa Roberta Ramos Nantes</creator><creator>Clemente, Manuela Guimarães</creator><creator>Borsetto, Cibele Cristina Manzoni Ribeiro</creator><creator>de Oliveira, Luiz Aurelio</creator><creator>Alves, Thallys Ramalho Suzart</creator><creator>Pedroso, Diogo Botelho</creator><creator>La Torre, Fabíola Peixoto Ferreira</creator><creator>Borges, Lunna Perdigão</creator><creator>Santos, Guilherme</creator><creator>de Mello E Silva, Juliana Freitas</creator><creator>de Magalhães-Barbosa, Maria Clara</creator><creator>da Cunha, Antonio José Ledo Alves</creator><creator>Soares, Marcio</creator><creator>Prata-Barbosa, Arnaldo</creator><general>Frontiers Media S.A</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20221214</creationdate><title>Multicenter validation of PIM3 and PIM2 in Brazilian pediatric intensive care units</title><author>Genu, Daniel Hilário Santos ; Lima-Setta, Fernanda ; Colleti, Jr, 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><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c417t-ff3b4dbae3322e4d4294c2943c353ef480ccb377451fdd4b46227adb7d6a83c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>benchmarking</topic><topic>intensive care units</topic><topic>mortality</topic><topic>pediatric</topic><topic>Pediatrics</topic><topic>PIM3</topic><topic>validation study</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Genu, Daniel Hilário Santos</creatorcontrib><creatorcontrib>Lima-Setta, Fernanda</creatorcontrib><creatorcontrib>Colleti, Jr, José</creatorcontrib><creatorcontrib>de Souza, Daniela Carla</creatorcontrib><creatorcontrib>Gama, Sérgio D'Abreu</creatorcontrib><creatorcontrib>Massaud-Ribeiro, Letícia</creatorcontrib><creatorcontrib>Pistelli, Ivan Pollastrini</creatorcontrib><creatorcontrib>Proença Filho, José Oliva</creatorcontrib><creatorcontrib>Bernardi, Thaís de Mello Cesar</creatorcontrib><creatorcontrib>de Castilho, Taísa Roberta Ramos Nantes</creatorcontrib><creatorcontrib>Clemente, Manuela Guimarães</creatorcontrib><creatorcontrib>Borsetto, Cibele Cristina Manzoni Ribeiro</creatorcontrib><creatorcontrib>de Oliveira, Luiz Aurelio</creatorcontrib><creatorcontrib>Alves, Thallys Ramalho Suzart</creatorcontrib><creatorcontrib>Pedroso, Diogo Botelho</creatorcontrib><creatorcontrib>La Torre, Fabíola Peixoto Ferreira</creatorcontrib><creatorcontrib>Borges, Lunna Perdigão</creatorcontrib><creatorcontrib>Santos, Guilherme</creatorcontrib><creatorcontrib>de Mello E Silva, Juliana Freitas</creatorcontrib><creatorcontrib>de Magalhães-Barbosa, Maria Clara</creatorcontrib><creatorcontrib>da Cunha, Antonio José Ledo Alves</creatorcontrib><creatorcontrib>Soares, Marcio</creatorcontrib><creatorcontrib>Prata-Barbosa, Arnaldo</creatorcontrib><creatorcontrib>Brazilian Research Network in Pediatric Intensive Care (BRnet-PIC)</creatorcontrib><creatorcontrib>The Brazilian Research Network in Pediatric Intensive Care (BRnet-PIC)</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Frontiers in pediatrics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Genu, Daniel Hilário Santos</au><au>Lima-Setta, Fernanda</au><au>Colleti, Jr, José</au><au>de Souza, Daniela Carla</au><au>Gama, Sérgio D'Abreu</au><au>Massaud-Ribeiro, Letícia</au><au>Pistelli, Ivan Pollastrini</au><au>Proença Filho, José Oliva</au><au>Bernardi, Thaís de Mello Cesar</au><au>de Castilho, Taísa Roberta Ramos Nantes</au><au>Clemente, Manuela Guimarães</au><au>Borsetto, Cibele Cristina Manzoni Ribeiro</au><au>de Oliveira, Luiz Aurelio</au><au>Alves, Thallys Ramalho Suzart</au><au>Pedroso, Diogo Botelho</au><au>La Torre, Fabíola Peixoto Ferreira</au><au>Borges, Lunna Perdigão</au><au>Santos, Guilherme</au><au>de Mello E Silva, Juliana Freitas</au><au>de Magalhães-Barbosa, Maria Clara</au><au>da Cunha, Antonio José Ledo Alves</au><au>Soares, Marcio</au><au>Prata-Barbosa, Arnaldo</au><aucorp>Brazilian Research Network in Pediatric Intensive Care (BRnet-PIC)</aucorp><aucorp>The Brazilian Research Network in Pediatric Intensive Care (BRnet-PIC)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multicenter validation of PIM3 and PIM2 in Brazilian pediatric intensive care units</atitle><jtitle>Frontiers in pediatrics</jtitle><addtitle>Front Pediatr</addtitle><date>2022-12-14</date><risdate>2022</risdate><volume>10</volume><spage>1036007</spage><epage>1036007</epage><pages>1036007-1036007</pages><issn>2296-2360</issn><eissn>2296-2360</eissn><abstract>To validate the PIM3 score in Brazilian PICUs and compare its performance with the PIM2.
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.
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).
Both scores had a good discrimination ability but poor calibration in different ranges, which deteriorated over time in the population studied.</abstract><cop>Switzerland</cop><pub>Frontiers Media S.A</pub><pmid>36589158</pmid><doi>10.3389/fped.2022.1036007</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2296-2360 |
ispartof | Frontiers in pediatrics, 2022-12, Vol.10, p.1036007-1036007 |
issn | 2296-2360 2296-2360 |
language | eng |
recordid | cdi_doaj_primary_oai_doaj_org_article_c405b492104f4399b73d6dbba03065b1 |
source | PubMed Central |
subjects | benchmarking intensive care units mortality pediatric Pediatrics PIM3 validation study |
title | Multicenter validation of PIM3 and PIM2 in Brazilian pediatric intensive care units |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-23T17%3A22%3A11IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Multicenter%20validation%20of%20PIM3%20and%20PIM2%20in%20Brazilian%20pediatric%20intensive%20care%20units&rft.jtitle=Frontiers%20in%20pediatrics&rft.au=Genu,%20Daniel%20Hil%C3%A1rio%20Santos&rft.aucorp=Brazilian%20Research%20Network%20in%20Pediatric%20Intensive%20Care%20(BRnet-PIC)&rft.date=2022-12-14&rft.volume=10&rft.spage=1036007&rft.epage=1036007&rft.pages=1036007-1036007&rft.issn=2296-2360&rft.eissn=2296-2360&rft_id=info:doi/10.3389/fped.2022.1036007&rft_dat=%3Cproquest_doaj_%3E2760171392%3C/proquest_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c417t-ff3b4dbae3322e4d4294c2943c353ef480ccb377451fdd4b46227adb7d6a83c3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2760171392&rft_id=info:pmid/36589158&rfr_iscdi=true |