Trauma scores in the management of politrauma patients: which one and what for?.
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Outros Autores: | , , , , , , , |
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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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 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://www.actamedicaportuguesa.com/revista/index.php/amp/article/view/1421 oai:ojs.www.actamedicaportuguesa.com:article/1421 |
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https://www.actamedicaportuguesa.com/revista/index.php/amp/article/view/1421 |
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oai:ojs.www.actamedicaportuguesa.com:article/1421 |
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por |
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por |
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https://www.actamedicaportuguesa.com/revista/index.php/amp/article/view/1421 https://www.actamedicaportuguesa.com/revista/index.php/amp/article/view/1421/1010 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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Ordem dos Médicos |
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 reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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