Trauma scores in the management of politrauma patients: which one and what for?.

Detalhes bibliográficos
Autor(a) principal: Sousa, António Nogueira
Data de Publicação: 2012
Outros Autores: Paiva, José A, Fonseca, Sara A, Raposo, Frederico J, Loureiro, Alvaro M, Valente, Luís F, Gonçalves, António M, Cabral, Abel T, Almeida, Luís
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://www.actamedicaportuguesa.com/revista/index.php/amp/article/view/1421
Resumo: The improvement rescue and transport of politrauma patients (PTP) increases the number of patients admitted to the Emergency departments in very severe conditions. The early prediction of later complications and bad outcomes is paramount for a good strategy. The aim of this study was to evaluate the severity of PTP in the Trauma Room (TR) of a Level 1 Hospital, using the ISS, RTS, TRISS scores and define variables associated with bad outcomes, namely ICU admission (ICU), ARDS, MODS and Death.Prospective study with data collection of demographic, clinical, laboratory and imaging parameters of all PTP admitted to the TR. The ISS was calculated by the Abbreviated Injury Scale, RTS and TRISS by Trauma.org site formulas. Statistical analysis was performed in SPSS.278 patients were admitted in TR after Manchester screening during 6 months: 244 (185 men, 59 women) were studied, average age 39,32±19.32 years. Hospital admission- 157 patients (ICU-46, Intermediate Care Unit-29, Surgery Services-82) and 85 discharged. Submitted to Surgery-75. Scores: ISS-13,58±19,32, RTS-7,30±1,01; TRISS-92,42±15,85; Glasgow Coma Score (GCS)-13,00±3,61.Severe complications: ARDS-8%; SIRS-40%; MODS-18%; Death-14%.There is statistical correlation between Surgery Type: ICU and MODS; GCS, ISS, RTS, TRISS: ICU, ARDS, MODS and Death. Multivariate analysis shows that Surgery Type, GCS and TRISS predict ICU admission (ROC-0,884); TRISS predicts ARDS (ROC-0,844); TRISS predicts MODS (ROC-0,876); TRISS and age predicts Death (ROC-0,887).This study confirms scores validity in PTP assessment, as they are able to predict severe complications. TRISS seems to be the best score for prediction of bad outcomes.
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spelling Trauma scores in the management of politrauma patients: which one and what for?.Trauma scores na avaliação de politraumatizados: quais e para quê?The improvement rescue and transport of politrauma patients (PTP) increases the number of patients admitted to the Emergency departments in very severe conditions. The early prediction of later complications and bad outcomes is paramount for a good strategy. The aim of this study was to evaluate the severity of PTP in the Trauma Room (TR) of a Level 1 Hospital, using the ISS, RTS, TRISS scores and define variables associated with bad outcomes, namely ICU admission (ICU), ARDS, MODS and Death.Prospective study with data collection of demographic, clinical, laboratory and imaging parameters of all PTP admitted to the TR. The ISS was calculated by the Abbreviated Injury Scale, RTS and TRISS by Trauma.org site formulas. Statistical analysis was performed in SPSS.278 patients were admitted in TR after Manchester screening during 6 months: 244 (185 men, 59 women) were studied, average age 39,32±19.32 years. Hospital admission- 157 patients (ICU-46, Intermediate Care Unit-29, Surgery Services-82) and 85 discharged. Submitted to Surgery-75. Scores: ISS-13,58±19,32, RTS-7,30±1,01; TRISS-92,42±15,85; Glasgow Coma Score (GCS)-13,00±3,61.Severe complications: ARDS-8%; SIRS-40%; MODS-18%; Death-14%.There is statistical correlation between Surgery Type: ICU and MODS; GCS, ISS, RTS, TRISS: ICU, ARDS, MODS and Death. Multivariate analysis shows that Surgery Type, GCS and TRISS predict ICU admission (ROC-0,884); TRISS predicts ARDS (ROC-0,844); TRISS predicts MODS (ROC-0,876); TRISS and age predicts Death (ROC-0,887).This study confirms scores validity in PTP assessment, as they are able to predict severe complications. TRISS seems to be the best score for prediction of bad outcomes.The improvement rescue and transport of politrauma patients (PTP) increases the number of patients admitted to the Emergency departments in very severe conditions. The early prediction of later complications and bad outcomes is paramount for a good strategy. The aim of this study was to evaluate the severity of PTP in the Trauma Room (TR) of a Level 1 Hospital, using the ISS, RTS, TRISS scores and define variables associated with bad outcomes, namely ICU admission (ICU), ARDS, MODS and Death.Prospective study with data collection of demographic, clinical, laboratory and imaging parameters of all PTP admitted to the TR. The ISS was calculated by the Abbreviated Injury Scale, RTS and TRISS by Trauma.org site formulas. Statistical analysis was performed in SPSS.278 patients were admitted in TR after Manchester screening during 6 months: 244 (185 men, 59 women) were studied, average age 39,32±19.32 years. Hospital admission- 157 patients (ICU-46, Intermediate Care Unit-29, Surgery Services-82) and 85 discharged. Submitted to Surgery-75. Scores: ISS-13,58±19,32, RTS-7,30±1,01; TRISS-92,42±15,85; Glasgow Coma Score (GCS)-13,00±3,61.Severe complications: ARDS-8%; SIRS-40%; MODS-18%; Death-14%.There is statistical correlation between Surgery Type: ICU and MODS; GCS, ISS, RTS, TRISS: ICU, ARDS, MODS and Death. Multivariate analysis shows that Surgery Type, GCS and TRISS predict ICU admission (ROC-0,884); TRISS predicts ARDS (ROC-0,844); TRISS predicts MODS (ROC-0,876); TRISS and age predicts Death (ROC-0,887).This study confirms scores validity in PTP assessment, as they are able to predict severe complications. TRISS seems to be the best score for prediction of bad outcomes.Ordem dos Médicos2012-06-20info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://www.actamedicaportuguesa.com/revista/index.php/amp/article/view/1421oai:ojs.www.actamedicaportuguesa.com:article/1421Acta Médica Portuguesa; Vol. 24 No. 6 (2011): November-December; 943-50Acta Médica Portuguesa; Vol. 24 N.º 6 (2011): Novembro-Dezembro; 943-501646-07580870-399Xreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPporhttps://www.actamedicaportuguesa.com/revista/index.php/amp/article/view/1421https://www.actamedicaportuguesa.com/revista/index.php/amp/article/view/1421/1010Sousa, António NogueiraPaiva, José AFonseca, Sara ARaposo, Frederico JLoureiro, Alvaro MValente, Luís FGonçalves, António MCabral, Abel TAlmeida, Luísinfo:eu-repo/semantics/openAccess2022-12-20T10:57:50Zoai:ojs.www.actamedicaportuguesa.com:article/1421Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T16:17:06.604562Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Trauma scores in the management of politrauma patients: which one and what for?.
Trauma scores na avaliação de politraumatizados: quais e para quê?
title Trauma scores in the management of politrauma patients: which one and what for?.
spellingShingle Trauma scores in the management of politrauma patients: which one and what for?.
Sousa, António Nogueira
title_short Trauma scores in the management of politrauma patients: which one and what for?.
title_full Trauma scores in the management of politrauma patients: which one and what for?.
title_fullStr Trauma scores in the management of politrauma patients: which one and what for?.
title_full_unstemmed Trauma scores in the management of politrauma patients: which one and what for?.
title_sort Trauma scores in the management of politrauma patients: which one and what for?.
author Sousa, António Nogueira
author_facet Sousa, António Nogueira
Paiva, José A
Fonseca, Sara A
Raposo, Frederico J
Loureiro, Alvaro M
Valente, Luís F
Gonçalves, António M
Cabral, Abel T
Almeida, Luís
author_role author
author2 Paiva, José A
Fonseca, Sara A
Raposo, Frederico J
Loureiro, Alvaro M
Valente, Luís F
Gonçalves, António M
Cabral, Abel T
Almeida, Luís
author2_role author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Sousa, António Nogueira
Paiva, José A
Fonseca, Sara A
Raposo, Frederico J
Loureiro, Alvaro M
Valente, Luís F
Gonçalves, António M
Cabral, Abel T
Almeida, Luís
description The improvement rescue and transport of politrauma patients (PTP) increases the number of patients admitted to the Emergency departments in very severe conditions. The early prediction of later complications and bad outcomes is paramount for a good strategy. The aim of this study was to evaluate the severity of PTP in the Trauma Room (TR) of a Level 1 Hospital, using the ISS, RTS, TRISS scores and define variables associated with bad outcomes, namely ICU admission (ICU), ARDS, MODS and Death.Prospective study with data collection of demographic, clinical, laboratory and imaging parameters of all PTP admitted to the TR. The ISS was calculated by the Abbreviated Injury Scale, RTS and TRISS by Trauma.org site formulas. Statistical analysis was performed in SPSS.278 patients were admitted in TR after Manchester screening during 6 months: 244 (185 men, 59 women) were studied, average age 39,32±19.32 years. Hospital admission- 157 patients (ICU-46, Intermediate Care Unit-29, Surgery Services-82) and 85 discharged. Submitted to Surgery-75. Scores: ISS-13,58±19,32, RTS-7,30±1,01; TRISS-92,42±15,85; Glasgow Coma Score (GCS)-13,00±3,61.Severe complications: ARDS-8%; SIRS-40%; MODS-18%; Death-14%.There is statistical correlation between Surgery Type: ICU and MODS; GCS, ISS, RTS, TRISS: ICU, ARDS, MODS and Death. Multivariate analysis shows that Surgery Type, GCS and TRISS predict ICU admission (ROC-0,884); TRISS predicts ARDS (ROC-0,844); TRISS predicts MODS (ROC-0,876); TRISS and age predicts Death (ROC-0,887).This study confirms scores validity in PTP assessment, as they are able to predict severe complications. TRISS seems to be the best score for prediction of bad outcomes.
publishDate 2012
dc.date.none.fl_str_mv 2012-06-20
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https://www.actamedicaportuguesa.com/revista/index.php/amp/article/view/1421/1010
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publisher.none.fl_str_mv Ordem dos Médicos
dc.source.none.fl_str_mv Acta Médica Portuguesa; Vol. 24 No. 6 (2011): November-December; 943-50
Acta Médica Portuguesa; Vol. 24 N.º 6 (2011): Novembro-Dezembro; 943-50
1646-0758
0870-399X
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